התחל

אינדיקטורים ואסטרטגיות

huzaifa iqbal pakistanthis is custum only for mazaq //@version=6 strategy("UT Bot Long Only Strategy", overlay=true, pyramiding=0, initial_capital=10000, currency=currency.USD) // Parameters for ATR-based trailing stop (UT Bot logic) var int atrLength = 10 // ATR period length var float atrMult = 5.0 // ATR multiplier for trailing stop // Calculate ATR and the ATR-based stop distance (nLoss) atrValue = ta.atr(atrLength) nLoss = atrMult * atrValue // ATR Trailing Stop logic (UT Bot) // Using persistent variable 'trailingStop' to maintain state across bars var float trailingStop = na if na(trailingStop ) // Initialize trailing stop on first bar trailingStop := close - nLoss else if (close > trailingStop and close > trailingStop ) // Price is above trailing stop and was above it in previous bar -> uptrend continues trailingStop := math.max(trailingStop , close - nLoss) else if (close < trailingStop and close < trailingStop ) // Price is below trailing stop and was below it in previous bar -> downtrend continues trailingStop := math.min(trailingStop , close + nLoss) else if (close > trailingStop ) // Price crossed from below to above the trailing stop -> trend flips up (new long setup) trailingStop := close - nLoss else // Price crossed from above to below the trailing stop -> trend flips down trailingStop := close + nLoss // Long entry signal: when price crosses above the trailing stop from below bool longSignal = (close < trailingStop and close > trailingStop ) // Enter long position on UT Bot buy signal (price crossing above trailing stop) if (longSignal) strategy.entry("Long", strategy.long, comment="UT Bot Buy Signal") // Exit conditions: take-profit at +10% and stop-loss at -0.10% from entry price // We hold until TP or SL is hit; no early exit on UT Bot sell signals if (strategy.position_size > 0) // Calculate profit target and stop loss based on entry price float entryPrice = strategy.position_avg_price float takeProfit = entryPrice * 1.10 // +//@version=6 strategy("UT Bot Long Only Strategy", overlay=true, pyramiding=0, initial_capital=10000, currency=currency.USD) // Parameters for ATR-based trailing stop (UT Bot logic) var int atrLength = 10 // ATR period length var float atrMult = 5.0 // ATR multiplier for trailing stop // Calculate ATR and the ATR-based stop distance (nLoss) atrValue = ta.atr(atrLength) nLoss = atrMult * atrValue // ATR Trailing Stop logic (UT Bot) // Using persistent variable 'trailingStop' to maintain state across bars var float trailingStop = na if na(trailingStop ) // Initialize trailing stop on first bar trailingStop := close - nLoss else if (close > trailingStop and close > trailingStop ) // Price is above trailing stop and was above it in previous bar -> uptrend continues trailingStop := math.max(trailingStop , close - nLoss) else if (close < trailingStop and close < trailingStop ) // Price is below trailing stop and was below it in previous bar -> downtrend continues trailingStop := math.min(trailingStop , close + nLoss) else if (close > trailingStop ) // Price crossed from below to above the trailing stop -> trend flips up (new long setup) trailingStop := close - nLoss else // Price crossed from above to below the trailing stop -> trend flips down trailingStop := close + nLoss // Long entry signal: when price crosses above the trailing stop from below bool longSignal = (close < trailingStop and close > trailingStop ) // Enter long position on UT Bot buy signal (price crossing above trailing stop) if (longSignal) strategy.entry("Long", strategy.long, comment="UT Bot Buy Signal") // Exit conditions: take-profit at +10% and stop-loss at -0.10% from entry price // We hold until TP or SL is hit; no early exit on UT Bot sell signals if (strategy.position_size > 0) // Calculate profit target and stop loss based on entry price float entryPrice = strategy.position_avg_price //@version=6 strategy("UT Bot Long Only Strategy", overlay=true, pyramiding=0, initial_capital=10000, currency=currency.USD) // Parameters for ATR-based trailing stop (UT Bot logic) var int atrLength = 10 // ATR period length var float atrMult = 5.0 // ATR multiplier for trailing stop // Calculate ATR and the ATR-based stop distance (nLoss) atrValue = ta.atr(atrLength) nLoss = atrMult * atrValue // ATR Trailing Stop logic (UT Bot) // Using persistent variable 'trailingStop' to maintain state across bars var float trailingStop = na if na(trailingStop ) // Initialize trailing stop on first bar trailingStop := close - nLoss else if (close > trailingStop and close > trailingStop ) // Price is above trailing stop and was above it in previous bar -> uptrend continues trailingStop := math.max(trailingStop , close - nLoss) else if (close < trailingStop and close < trailingStop ) // Price is below trailing stop and was below it in previous bar -> downtrend continues trailingStop := math.min(trailingStop , close + nLoss) else if (close > trailingStop ) // Price crossed from below to above the trailing stop -> trend flips up (new long setup) trailingStop := close - nLoss else // Price crossed from above to below the trailing stop -> trend flips down trailingStop := close + nLoss // Long entry signal: when price crosses above the trailing stop from below bool longSignal = (close < trailingStop and close > trailingStop ) // Enter long position on UT Bot buy signal (price crossing above trailing stop) if (longSignal) strategy.entry("Long", strategy.long, comment="UT Bot Buy Signal") // Exit conditions: take-profit at +10% and stop-loss at -0.10% from entry price // We hold until TP or SL is hit; no early exit on UT Bot sell signals if (strategy.position_size > 0) // Calculate profit target and stop loss based on entry price float entryPrice = strategy.position_avg_price float takeProfit = entryPrice * 1.10 // +10% float stopLoss = entryPrice * 0.999 // -0.10% strategy.exit("ExitLong", "Long", limit=takeProfit, stop=stopLoss) // Plot the ATR-based trailing stop for visualization (green when trend is up, red when down) plot(trailingStop, "Trailing Stop", color = close >= trailingStop ? color.lime : color.red, style=plot.style_line) float stopLoss = entryPrice * 0.999 // -0.10% strategy.exit("ExitLong", "Long", limit=takeProfit, stop=stopLoss) // Plot the ATR-based trailing stop for visualization (green when trend is up, red when down) plot(trailingStop, "Trailing Stop", color = close >= trailingStop ? color.lime : color.red, style=plot.style_line) 10% float stopLoss = entryPrice * 0.999 // -0.10% strategy.exit("ExitLong", "Long", limit=takeProfit, stop=stopLoss) // Plot the ATR-based trailing stop for visualization (green when trend is up, red when down) plot(trailingStop, "Trailing Stop", color = close >= trailingStop ? color.lime : color.red, style=plot.style_line)
אסטרטגיית Pine Script®
מאת ‎fggghhhjj25‎
MACD Momentum Shift MACD momentum shift (alert system). I have designed this indicator as an early alert system for momentum shifts. The indicator will fire on the second consecutive histogram bar with decreasing bearish momentum (light pink bars). My thought process is that it should provide traders with an earlier alert than a typical (MACD line crossing Signal line) alert available on Trading View. However, this is not a buy indicator! It's an early alert system. My trading technique is heavily based on where the 9/20/50/100/200 EMAs are compared to one another, on the hourly timeframe and the daily tiemframe. I plan to combine this alert system with technical analysis to make better trades. Cheers. James
אינדיקטור Pine Script®
מאת ‎JamesJohnAndo‎
Fractal Model [Free+] (T-Trades)Fractal Model - Higher Timeframe Analysis Tool Advanced higher timeframe candle visualization with T-spot identification, sweep detection, and multi-timeframe price action analysis. Introduction: The Fractal Model is a Pine Script indicator that provides advanced higher timeframe (HTF) candle visualization and analysis. It identifies key price action patterns including T-spots, sweep signals, and imbalance zones to help traders understand market structure across multiple timeframes. Description: The Fractal Model analyzes price action by creating higher timeframe candles on your current chart, allowing you to see HTF structure without switching timeframes. It identifies specific price action patterns that often precede significant moves, including T-spot formations, sweep confirmations, and fair value gaps. The indicator uses logarithmic midpoint calculations and pivot detection algorithms to identify high-probability entry and exit points. It automatically detects appropriate higher timeframes based on your current chart timeframe and provides real-time analysis of price action patterns. Key Features: Higher Timeframe Candle Visualization: Automatically creates higher timeframe candles on your current chart, allowing you to see HTF structure without switching timeframes. Supports up to 6 different HTF levels with automatic timeframe detection. T-Spot Identification: Identifies T-spot formations using logarithmic midpoint calculations. T-spots mark areas where price is likely to form wicks based on specific price action patterns including sweep conditions and close position analysis. Sweep Detection: Detects when price sweeps previous highs or lows but closes on the opposite side, creating potential reversal zones. Includes both high sweeps and low sweeps with visual confirmation lines. Fair Value Gap (FVG) Detection: Identifies gaps between candle ranges where price didn't trade, creating potential support/resistance zones. Uses three-candle pattern analysis to detect imbalance areas. Volume Imbalance Detection: Identifies areas where price action shows volume imbalance between consecutive candles, indicating potential continuation or reversal zones. T-Spot Sweep Confirmation: Advanced confirmation system that requires pivot formation before T-spot touch, then close beyond the pivot level to confirm sweep signals. TTFM Labeling System: Dynamic labeling system that tracks setup validity with C2, C3, and C4 labels indicating different types of T-spot formations and their confirmation status. How the Code Works: 1. Higher Timeframe Detection: The indicator automatically determines appropriate HTF based on your current chart: - 1m charts: 15m HTF - 3m charts: 30m HTF - 5m charts: 1h HTF - 15m charts: 4h HTF - 30m-1h charts: 1D HTF - 4h-8h charts: 1W HTF - 1D charts: 1M HTF 2. T-Spot Calculation Algorithm: T-spots are identified using logarithmic midpoint calculations combined with pivot-based logic: - Calculates log midpoint = exp((log(high) + log(low)) / 2) for wick analysis - Identifies sweep conditions: high > prev_high AND close < prev_high (bearish) or low < prev_low AND close > prev_low (bullish) - Creates T-spot zones based on close position relative to logarithmic midpoint - **Core Logic**: All T-spot formations are based on pivot creation patterns where price sweeps previous levels but closes on the opposite side, creating potential reversal zones 3. Sweep Detection Logic: The code detects sweeps using pivot analysis: - Uses ta.pivothigh() and ta.pivotlow() with 1,2 parameters for pivot detection - Confirms sweeps when: pivot forms before T-spot touch AND close breaks beyond pivot level - Tracks pivot levels and bars for confirmation validation - **Pivot-Based Foundation**: The entire system is built on pivot creation logic - T-spots form when price creates pivots by sweeping previous levels but closing opposite, indicating potential reversal points 4. Fair Value Gap Detection: FVG identification uses three-candle pattern analysis: - Candle1.l > Candle2.h AND min(Candle1.o, Candle1.c) > max(Candle2.o, Candle2.c) for bullish FVG - Candle1.h < Candle2.l AND max(Candle1.o, Candle1.c) < min(Candle2.o, Candle2.c) for bearish FVG 5. Visual Rendering System: Uses array-based object management: - Clears and redraws all visual elements on each bar - Manages HTF candles, T-spots, sweeps, and labels using separate arrays - Implements cleanup logic to prevent memory overflow 6. Pivot-Based T-Spot Types: The indicator identifies several T-spot patterns based on pivot creation: - **Standard T-Spots**: Price sweeps previous high/low but closes opposite, creating pivot - **Expansive T-Spots**: Previous candle sweeps, current candle expands and closes beyond sweep level - **Pro-trend T-Spots**: Price sweeps logarithmic midpoint but closes beyond previous levels - **Silver T-Spots**: Special T-spots during specific market hours (4th-5th candle of day) - All patterns require pivot formation through sweep-and-close logic for validation Usage Guidance: Add the Fractal Model indicator to your TradingView chart Configure HTF settings and T-spot bias preferences Adjust visual customization options to match your trading style Monitor T-spot formations and sweep confirmations for entry signals Trading Applications: T-Spot Trading: - Look for T-spot formations on higher timeframes - Wait for price to touch T-spot levels - Enter on sweep confirmation with proper pivot validation - Use T-spot levels as support/resistance zones Sweep Trading: - Identify sweep patterns where price breaks previous highs/lows but closes opposite - Use sweep levels as potential reversal zones - Combine with T-spot analysis for higher probability setups Fair Value Gap Trading: - Trade FVG fills as price returns to imbalance areas - Use FVG levels as support/resistance zones - Combine with higher timeframe structure for context Technical Specifications: - Compatible with Pine Script v6 - Non-repainting indicator - Supports all timeframes with automatic HTF detection - Memory-efficient array management - Real-time T-spot and sweep detection - Customizable visual elements and colors Disclaimer: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own research and risk management before making trading decisions.
אינדיקטור Pine Script®
מאת ‎mindyourbuisness‎
1
Buzzara// © Buzzara // ================================= // PLEASE SUPPORT THE TEAM // ================================= // // Telegram: t.me a_trade// ================================= //@version=5 VERSION = ' Buzzara2.0' strategy('ALGOX V6_1_24', shorttitle = '🚀〄 Buzzara2.0 〄🚀'+ VERSION, overlay = true, explicit_plot_zorder = true, pyramiding = 0, default_qty_type = strategy.percent_of_equity, initial_capital = 1000, default_qty_value = 1, calc_on_every_tick = false, process_orders_on_close = true) G_SCRIPT01 = '■ ' + 'SAIYAN OCC' //#region ———— <↓↓↓ G_SCRIPT01 ↓↓↓> { // === INPUTS === res = input.timeframe('15', 'TIMEFRAME', group ="NON REPAINT") useRes = input(true, 'Use Alternate Signals') intRes = input(10, 'Multiplier for Alernate Signals') basisType = input.string('ALMA', 'MA Type: ', options= ) basisLen = input.int(50, 'MA Period', minval=1) offsetSigma = input.int(5, 'Offset for LSMA / Sigma for ALMA', minval=0) offsetALMA = input.float(2, 'Offset for ALMA', minval=0, step=0.01) scolor = input(false, 'Show coloured Bars to indicate Trend?') delayOffset = input.int(0, 'Delay Open/Close MA', minval=0, step=1, tooltip = 'Forces Non-Repainting') tradeType = input.string('BOTH', 'What trades should be taken : ', options = ) //=== /INPUTS === h = input(false, 'Signals for Heikin Ashi Candles') //INDICATOR SETTINGS swing_length = input.int(10, 'Swing High/Low Length', group = 'Settings', minval = 1, maxval = 50) history_of_demand_to_keep = input.int(20, 'History To Keep', minval = 5, maxval = 50) box_width = input.float(2.5, 'Supply/Demand Box Width', group = 'Settings', minval = 1, maxval = 10, step = 0.5) //INDICATOR VISUAL SETTINGS show_zigzag = input.bool(false, 'Show Zig Zag', group = 'Visual Settings', inline = '1') show_price_action_labels = input.bool(false, 'Show Price Action Labels', group = 'Visual Settings', inline = '2') supply_color = input.color(#00000000, 'Supply', group = 'Visual Settings', inline = '3') supply_outline_color = input.color(#00000000, 'Outline', group = 'Visual Settings', inline = '3') demand_color = input.color(#00000000, 'Demand', group = 'Visual Settings', inline = '4') demand_outline_color = input.color(#00000000, 'Outline', group = 'Visual Settings', inline = '4') bos_label_color = input.color(#00000000, 'BOS Label', group = 'Visual Settings', inline = '5') poi_label_color = input.color(#00000000, 'POI Label', group = 'Visual Settings', inline = '7') poi_border_color = input.color(#00000000, 'POI border', group = 'Visual Settings', inline = '7') swing_type_color = input.color(#00000000, 'Price Action Label', group = 'Visual Settings', inline = '8') zigzag_color = input.color(#00000000, 'Zig Zag', group = 'Visual Settings', inline = '9') //END SETTINGS // FUNCTION TO ADD NEW AND REMOVE LAST IN ARRAY f_array_add_pop(array, new_value_to_add) => array.unshift(array, new_value_to_add) array.pop(array) // FUNCTION SWING H & L LABELS f_sh_sl_labels(array, swing_type) => var string label_text = na if swing_type == 1 if array.get(array, 0) >= array.get(array, 1) label_text := 'HH' else label_text := 'LH' label.new( bar_index - swing_length, array.get(array,0), text = label_text, style = label.style_label_down, textcolor = swing_type_color, color = swing_type_color, size = size.tiny) else if swing_type == -1 if array.get(array, 0) >= array.get(array, 1) label_text := 'HL' else label_text := 'LL' label.new( bar_index - swing_length, array.get(array,0), text = label_text, style = label.style_label_up, textcolor = swing_type_color, color = swing_type_color, size = size.tiny) // FUNCTION MAKE SURE SUPPLY ISNT OVERLAPPING f_check_overlapping(new_poi, box_array, atrValue) => atr_threshold = atrValue * 2 okay_to_draw = true for i = 0 to array.size(box_array) - 1 top = box.get_top(array.get(box_array, i)) bottom = box.get_bottom(array.get(box_array, i)) poi = (top + bottom) / 2 upper_boundary = poi + atr_threshold lower_boundary = poi - atr_threshold if new_poi >= lower_boundary and new_poi <= upper_boundary okay_to_draw := false break else okay_to_draw := true okay_to_draw // FUNCTION TO DRAW SUPPLY OR DEMAND ZONE f_supply_demand(value_array, bn_array, box_array, label_array, box_type, atrValue) => atr_buffer = atrValue * (box_width / 10) box_left = array.get(bn_array, 0) box_right = bar_index var float box_top = 0.00 var float box_bottom = 0.00 var float poi = 0.00 if box_type == 1 box_top := array.get(value_array, 0) box_bottom := box_top - atr_buffer poi := (box_top + box_bottom) / 2 else if box_type == -1 box_bottom := array.get(value_array, 0) box_top := box_bottom + atr_buffer poi := (box_top + box_bottom) / 2 okay_to_draw = f_check_overlapping(poi, box_array, atrValue) // okay_to_draw = true //delete oldest box, and then create a new box and add it to the array if box_type == 1 and okay_to_draw box.delete( array.get(box_array, array.size(box_array) - 1) ) f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = supply_outline_color, bgcolor = supply_color, extend = extend.right, text = 'SUPPLY', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) box.delete( array.get(label_array, array.size(label_array) - 1) ) f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = poi_border_color, bgcolor = poi_border_color, extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) else if box_type == -1 and okay_to_draw box.delete( array.get(box_array, array.size(box_array) - 1) ) f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = demand_outline_color, bgcolor = demand_color, extend = extend.right, text = 'DEMAND', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) box.delete( array.get(label_array, array.size(label_array) - 1) ) f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = poi_border_color, bgcolor = poi_border_color, extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) // FUNCTION TO CHANGE SUPPLY/DEMAND TO A BOS IF BROKEN f_sd_to_bos(box_array, bos_array, label_array, zone_type) => if zone_type == 1 for i = 0 to array.size(box_array) - 1 level_to_break = box.get_top(array.get(box_array,i)) // if ta.crossover(close, level_to_break) if close >= level_to_break copied_box = box.copy(array.get(box_array,i)) f_array_add_pop(bos_array, copied_box) mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2 box.set_top(array.get(bos_array,0), mid) box.set_bottom(array.get(bos_array,0), mid) box.set_extend( array.get(bos_array,0), extend.none) box.set_right( array.get(bos_array,0), bar_index) box.set_text( array.get(bos_array,0), 'BOS' ) box.set_text_color( array.get(bos_array,0), bos_label_color) box.set_text_size( array.get(bos_array,0), size.small) box.set_text_halign( array.get(bos_array,0), text.align_center) box.set_text_valign( array.get(bos_array,0), text.align_center) box.delete(array.get(box_array, i)) box.delete(array.get(label_array, i)) if zone_type == -1 for i = 0 to array.size(box_array) - 1 level_to_break = box.get_bottom(array.get(box_array,i)) // if ta.crossunder(close, level_to_break) if close <= level_to_break copied_box = box.copy(array.get(box_array,i)) f_array_add_pop(bos_array, copied_box) mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2 box.set_top(array.get(bos_array,0), mid) box.set_bottom(array.get(bos_array,0), mid) box.set_extend( array.get(bos_array,0), extend.none) box.set_right( array.get(bos_array,0), bar_index) box.set_text( array.get(bos_array,0), 'BOS' ) box.set_text_color( array.get(bos_array,0), bos_label_color) box.set_text_size( array.get(bos_array,0), size.small) box.set_text_halign( array.get(bos_array,0), text.align_center) box.set_text_valign( array.get(bos_array,0), text.align_center) box.delete(array.get(box_array, i)) box.delete(array.get(label_array, i)) // FUNCTION MANAGE CURRENT BOXES BY CHANGING ENDPOINT f_extend_box_endpoint(box_array) => for i = 0 to array.size(box_array) - 1 box.set_right(array.get(box_array, i), bar_index + 100) // stratRes = timeframe.ismonthly ? str.tostring(timeframe.multiplier * intRes, '###M') : timeframe.isweekly ? str.tostring(timeframe.multiplier * intRes, '###W') : timeframe.isdaily ? str.tostring(timeframe.multiplier * intRes, '###D') : timeframe.isintraday ? str.tostring(timeframe.multiplier * intRes, '####') : '60' src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead = barmerge.lookahead_off) : close // CALCULATE ATR atrValue = ta.atr(50) // CALCULATE SWING HIGHS & SWING LOWS swing_high = ta.pivothigh(high, swing_length, swing_length) swing_low = ta.pivotlow(low, swing_length, swing_length) // ARRAYS FOR SWING H/L & BN var swing_high_values = array.new_float(5,0.00) var swing_low_values = array.new_float(5,0.00) var swing_high_bns = array.new_int(5,0) var swing_low_bns = array.new_int(5,0) // ARRAYS FOR SUPPLY / DEMAND var current_supply_box = array.new_box(history_of_demand_to_keep, na) var current_demand_box = array.new_box(history_of_demand_to_keep, na) // ARRAYS FOR SUPPLY / DEMAND POI LABELS var current_supply_poi = array.new_box(history_of_demand_to_keep, na) var current_demand_poi = array.new_box(history_of_demand_to_keep, na) // ARRAYS FOR BOS var supply_bos = array.new_box(5, na) var demand_bos = array.new_box(5, na) //END CALCULATIONS // NEW SWING HIGH if not na(swing_high) //MANAGE SWING HIGH VALUES f_array_add_pop(swing_high_values, swing_high) f_array_add_pop(swing_high_bns, bar_index ) if show_price_action_labels f_sh_sl_labels(swing_high_values, 1) f_supply_demand(swing_high_values, swing_high_bns, current_supply_box, current_supply_poi, 1, atrValue) // NEW SWING LOW else if not na(swing_low) //MANAGE SWING LOW VALUES f_array_add_pop(swing_low_values, swing_low) f_array_add_pop(swing_low_bns, bar_index ) if show_price_action_labels f_sh_sl_labels(swing_low_values, -1) f_supply_demand(swing_low_values, swing_low_bns, current_demand_box, current_demand_poi, -1, atrValue) f_sd_to_bos(current_supply_box, supply_bos, current_supply_poi, 1) f_sd_to_bos(current_demand_box, demand_bos, current_demand_poi, -1) f_extend_box_endpoint(current_supply_box) f_extend_box_endpoint(current_demand_box) channelBal = input.bool(false, "Channel Balance", group = "CHART") lr_slope(_src, _len) => x = 0.0, y = 0.0, x2 = 0.0, xy = 0.0 for i = 0 to _len - 1 val = _src per = i + 1 x += per y += val x2 += per * per xy += val * per _slp = (_len * xy - x * y) / (_len * x2 - x * x) _avg = y / _len _int = _avg - _slp * x / _len + _slp lr_dev(_src, _len, _slp, _avg, _int) => upDev = 0.0, dnDev = 0.0 val = _int for j = 0 to _len - 1 price = high - val if price > upDev upDev := price price := val - low if price > dnDev dnDev := price price := _src val += _slp // = ta.kc(close, 80, 10.5) = ta.kc(close, 80, 9.5) = ta.kc(close, 80, 8) = ta.kc(close, 80, 3) barsL = 10 barsR = 10 pivotHigh = fixnan(ta.pivothigh(barsL, barsR) ) pivotLow = fixnan(ta.pivotlow(barsL, barsR) ) source = close, period = 150 = lr_slope(source, period) = lr_dev(source, period, s, a, i) y1 = low - (ta.atr(30) * 2), y1B = low - ta.atr(30) y2 = high + (ta.atr(30) * 2), y2B = high + ta.atr(30) x1 = bar_index - period + 1, _y1 = i + s * (period - 1), x2 = bar_index, _y2 = i //Functions //Line Style function get_line_style(style) => out = switch style '???' => line.style_solid '----' => line.style_dashed ' ' => line.style_dotted //Function to get order block coordinates get_coordinates(condition, top, btm, ob_val)=> var ob_top = array.new_float(0) var ob_btm = array.new_float(0) var ob_avg = array.new_float(0) var ob_left = array.new_int(0) float ob = na //Append coordinates to arrays if condition avg = math.avg(top, btm) array.unshift(ob_top, top) array.unshift(ob_btm, btm) array.unshift(ob_avg, avg) ob := ob_val //Function to remove mitigated order blocks from coordinate arrays remove_mitigated(ob_top, ob_btm, ob_left, ob_avg, target, bull)=> mitigated = false target_array = bull ? ob_btm : ob_top for element in target_array idx = array.indexof(target_array, element) if (bull ? target < element : target > element) mitigated := true array.remove(ob_top, idx) array.remove(ob_btm, idx) array.remove(ob_avg, idx) array.remove(ob_left, idx) mitigated //Function to set order blocks set_order_blocks(ob_top, ob_btm, ob_left, ob_avg, ext_last, bg_css, border_css, lvl_css)=> var ob_box = array.new_box(0) var ob_lvl = array.new_line(0) //Global elements var os = 0 var target_bull = 0. var target_bear = 0. // Create non-repainting security function rp_security(_symbol, _res, _src) => request.security(_symbol, _res, _src ) htfHigh = rp_security(syminfo.tickerid, res, high) htfLow = rp_security(syminfo.tickerid, res, low) // Main Indicator // Functions smoothrng(x, t, m) => wper = t * 2 - 1 avrng = ta.ema(math.abs(x - x ), t) smoothrng = ta.ema(avrng, wper) * m rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100 securityNoRep(sym, res, src) => request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) swingPoints(prd) => pivHi = ta.pivothigh(prd, prd) pivLo = ta.pivotlow (prd, prd) last_pivHi = ta.valuewhen(pivHi, pivHi, 1) last_pivLo = ta.valuewhen(pivLo, pivLo, 1) hh = pivHi and pivHi > last_pivHi ? pivHi : na lh = pivHi and pivHi < last_pivHi ? pivHi : na hl = pivLo and pivLo > last_pivLo ? pivLo : na ll = pivLo and pivLo < last_pivLo ? pivLo : na f_chartTfInMinutes() => float _resInMinutes = timeframe.multiplier * ( timeframe.isseconds ? 1 : timeframe.isminutes ? 1. : timeframe.isdaily ? 60. * 24 : timeframe.isweekly ? 60. * 24 * 7 : timeframe.ismonthly ? 60. * 24 * 30.4375 : na) f_kc(src, len, sensitivity) => basis = ta.sma(src, len) span = ta.atr(len) wavetrend(src, chlLen, avgLen) => esa = ta.ema(src, chlLen) d = ta.ema(math.abs(src - esa), chlLen) ci = (src - esa) / (0.015 * d) wt1 = ta.ema(ci, avgLen) wt2 = ta.sma(wt1, 3) f_top_fractal(_src) => _src < _src and _src < _src and _src > _src and _src > _src f_bot_fractal(_src) => _src > _src and _src > _src and _src < _src and _src < _src top_fractal = f_top_fractal(src) bot_fractal = f_bot_fractal(src) f_fractalize (_src) => top_fractal ? 1 : bot_fractal ? -1 : 0 f_findDivs(src, topLimit, botLimit) => fractalTop = f_fractalize(src) > 0 and src >= topLimit ? src : na fractalBot = f_fractalize(src) < 0 and src <= botLimit ? src : na highPrev = ta.valuewhen(fractalTop, src , 0) highPrice = ta.valuewhen(fractalTop, high , 0) lowPrev = ta.valuewhen(fractalBot, src , 0) lowPrice = ta.valuewhen(fractalBot, low , 0) bearSignal = fractalTop and high > highPrice and src < highPrev bullSignal = fractalBot and low < lowPrice and src > lowPrev // Get user input enableSR = input(false , "SR On/Off", group="SR") colorSup = input(#00000000 , "Support Color", group="SR") colorRes = input(#00000000 , "Resistance Color", group="SR") strengthSR = input.int(2 , "S/R Strength", 1, group="SR") lineStyle = input.string("Dotted", "Line Style", , group="SR") lineWidth = input.int(2 , "S/R Line Width", 1, group="SR") useZones = input(true , "Zones On/Off", group="SR") useHLZones = input(true , "High Low Zones On/Off", group="SR") zoneWidth = input.int(2 , "Zone Width %", 0, tooltip = "it's calculated using % of the distance between highest/lowest in last 300 bars", group="SR") expandSR = input(true , "Expand SR") // Get components rb = 10 prd = 284 ChannelW = 10 label_loc = 55 style = lineStyle == "Solid" ? line.style_solid : lineStyle == "Dotted" ? line.style_dotted : line.style_dashed ph = ta.pivothigh(rb, rb) pl = ta.pivotlow (rb, rb) sr_levels = array.new_float(21, na) prdhighest = ta.highest(prd) prdlowest = ta.lowest(prd) cwidth = percWidth(prd, ChannelW) zonePerc = percWidth(300, zoneWidth) aas = array.new_bool(41, true) u1 = 0.0, u1 := nz(u1 ) d1 = 0.0, d1 := nz(d1 ) highestph = 0.0, highestph := highestph lowestpl = 0.0, lowestpl := lowestpl var sr_levs = array.new_float(21, na) label hlabel = na, label.delete(hlabel ) label llabel = na, label.delete(llabel ) var sr_lines = array.new_line(21, na) var sr_linesH = array.new_line(21, na) var sr_linesL = array.new_line(21, na) var sr_linesF = array.new_linefill(21, na) var sr_labels = array.new_label(21, na) if (not na(ph) or not na(pl)) for x = 0 to array.size(sr_levels) - 1 array.set(sr_levels, x, na) highestph := prdlowest lowestpl := prdhighest countpp = 0 for x = 0 to prd if na(close ) break if not na(ph ) or not na(pl ) highestph := math.max(highestph, nz(ph , prdlowest), nz(pl , prdlowest)) lowestpl := math.min(lowestpl, nz(ph , prdhighest), nz(pl , prdhighest)) countpp += 1 if countpp > 40 break if array.get(aas, countpp) upl = (not na(ph ) and (ph != 0) ? high : low ) + cwidth dnl = (not na(ph ) and (ph != 0) ? high : low ) - cwidth u1 := countpp == 1 ? upl : u1 d1 := countpp == 1 ? dnl : d1 tmp = array.new_bool(41, true) cnt = 0 tpoint = 0 for xx = 0 to prd if na(close ) break if not na(ph ) or not na(pl ) chg = false cnt += 1 if cnt > 40 break if array.get(aas, cnt) if not na(ph ) if high <= upl and high >= dnl tpoint += 1 chg := true if not na(pl ) if low <= upl and low >= dnl tpoint += 1 chg := true if chg and cnt < 41 array.set(tmp, cnt, false) if tpoint >= strengthSR for g = 0 to 40 by 1 if not array.get(tmp, g) array.set(aas, g, false) if (not na(ph ) and countpp < 21) array.set(sr_levels, countpp, high ) if (not na(pl ) and countpp < 21) array.set(sr_levels, countpp, low ) // Plot var line highest_ = na, line.delete(highest_) var line lowest_ = na, line.delete(lowest_) var line highest_fill1 = na, line.delete(highest_fill1) var line highest_fill2 = na, line.delete(highest_fill2) var line lowest_fill1 = na, line.delete(lowest_fill1) var line lowest_fill2 = na, line.delete(lowest_fill2) hi_col = close >= highestph ? colorSup : colorRes lo_col = close >= lowestpl ? colorSup : colorRes if enableSR highest_ := line.new(bar_index - 311, highestph, bar_index, highestph, xloc.bar_index, expandSR ? extend.both : extend.right, hi_col, style, lineWidth) lowest_ := line.new(bar_index - 311, lowestpl , bar_index, lowestpl , xloc.bar_index, expandSR ? extend.both : extend.right, lo_col, style, lineWidth) if useHLZones highest_fill1 := line.new(bar_index - 311, highestph + zonePerc, bar_index, highestph + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na) highest_fill2 := line.new(bar_index - 311, highestph - zonePerc, bar_index, highestph - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na) lowest_fill1 := line.new(bar_index - 311, lowestpl + zonePerc , bar_index, lowestpl + zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na) lowest_fill2 := line.new(bar_index - 311, lowestpl - zonePerc , bar_index, lowestpl - zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na) linefill.new(highest_fill1, highest_fill2, hi_col) linefill.new(lowest_fill1 , lowest_fill2 , lo_col) if (not na(ph) or not na(pl)) for x = 0 to array.size(sr_lines) - 1 array.set(sr_levs, x, array.get(sr_levels, x)) for x = 0 to array.size(sr_lines) - 1 line.delete(array.get(sr_lines, x)) line.delete(array.get(sr_linesH, x)) line.delete(array.get(sr_linesL, x)) linefill.delete(array.get(sr_linesF, x)) if (not na(array.get(sr_levs, x)) and enableSR) line_col = close >= array.get(sr_levs, x) ? colorSup : colorRes array.set(sr_lines, x, line.new(bar_index - 355, array.get(sr_levs, x), bar_index, array.get(sr_levs, x), xloc.bar_index, expandSR ? extend.both : extend.right, line_col, style, lineWidth)) if useZones array.set(sr_linesH, x, line.new(bar_index - 355, array.get(sr_levs, x) + zonePerc, bar_index, array.get(sr_levs, x) + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)) array.set(sr_linesL, x, line.new(bar_index - 355, array.get(sr_levs, x) - zonePerc, bar_index, array.get(sr_levs, x) - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)) array.set(sr_linesF, x, linefill.new(array.get(sr_linesH, x), array.get(sr_linesL, x), line_col)) for x = 0 to array.size(sr_labels) - 1 label.delete(array.get(sr_labels, x)) if (not na(array.get(sr_levs, x)) and enableSR) lab_loc = close >= array.get(sr_levs, x) ? label.style_label_up : label.style_label_down lab_col = close >= array.get(sr_levs, x) ? colorSup : colorRes array.set(sr_labels, x, label.new(bar_index + label_loc, array.get(sr_levs, x), str.tostring(math.round_to_mintick(array.get(sr_levs, x))), color=lab_col , textcolor=#000000, style=lab_loc)) hlabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, highestph, "High Level : " + str.tostring(highestph), color=hi_col, textcolor=#000000, style=label.style_label_down) : na llabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, lowestpl , "Low Level : " + str.tostring(lowestpl) , color=lo_col, textcolor=#000000, style=label.style_label_up ) : na // Get components rsi = ta.rsi(close, 28) //rsiOb = rsi > 78 and rsi > ta.ema(rsi, 10) //rsiOs = rsi < 27 and rsi < ta.ema(rsi, 10) rsiOb = rsi > 65 and rsi > ta.ema(rsi, 10) rsiOs = rsi < 35 and rsi < ta.ema(rsi, 10) dHigh = securityNoRep(syminfo.tickerid, "D", high ) dLow = securityNoRep(syminfo.tickerid, "D", low ) dClose = securityNoRep(syminfo.tickerid, "D", close ) ema = ta.ema(close, 144) emaBull = close > ema equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() and not timeframe.isseconds higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() or timeframe.isseconds too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10) securityNoRep1(sym, res, src) => bool bull_ = na bull_ := equal_tf(res) ? src : bull_ bull_ := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) : bull_ bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) + (timeframe.isseconds ? "S" : "") : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src) if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res) bull_ := array.pop(bull_array) array.clear(bull_array) bull_ // === BASE FUNCTIONS === // Returns MA input selection variant, default to SMA if blank or typo. variant(type, src, len, offSig, offALMA) => v1 = ta.sma(src, len) // Simple v2 = ta.ema(src, len) // Exponential v3 = 2 * v2 - ta.ema(v2, len) // Double Exponential v4 = 3 * (v2 - ta.ema(v2, len)) + ta.ema(ta.ema(v2, len), len) // Triple Exponential v5 = ta.wma(src, len) // Weighted v6 = ta.vwma(src, len) // Volume Weighted v7 = 0.0 sma_1 = ta.sma(src, len) // Smoothed v7 := na(v7 ) ? sma_1 : (v7 * (len - 1) + src) / len v8 = ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len))) // Hull v9 = ta.linreg(src, len, offSig) // Least Squares v10 = ta.alma(src, len, offALMA, offSig) // Arnaud Legoux v11 = ta.sma(v1, len) // Triangular (extreme smooth) // SuperSmoother filter // 2013 John F. Ehlers a1 = math.exp(-1.414 * 3.14159 / len) b1 = 2 * a1 * math.cos(1.414 * 3.14159 / len) c2 = b1 c3 = -a1 * a1 c1 = 1 - c2 - c3 v12 = 0.0 v12 := c1 * (src + nz(src )) / 2 + c2 * nz(v12 ) + c3 * nz(v12 ) type == 'EMA' ? v2 : type == 'DEMA' ? v3 : type == 'TEMA' ? v4 : type == 'WMA' ? v5 : type == 'VWMA' ? v6 : type == 'SMMA' ? v7 : type == 'HullMA' ? v8 : type == 'LSMA' ? v9 : type == 'ALMA' ? v10 : type == 'TMA' ? v11 : type == 'SSMA' ? v12 : v1 // security wrapper for repeat calls reso(exp, use, res) => security_1 = request.security(syminfo.tickerid, res, exp, gaps = barmerge.gaps_off, lookahead = barmerge.lookahead_on) use ? security_1 : exp // === /BASE FUNCTIONS === // === SERIES SETUP === closeSeries = variant(basisType, close , basisLen, offsetSigma, offsetALMA) openSeries = variant(basisType, open , basisLen, offsetSigma, offsetALMA) // === /SERIES === // Get Alternate resolution Series if selected. closeSeriesAlt = reso(closeSeries, useRes, stratRes) openSeriesAlt = reso(openSeries, useRes, stratRes) // lxTrigger = false sxTrigger = false leTrigger = ta.crossover (closeSeriesAlt, openSeriesAlt) seTrigger = ta.crossunder(closeSeriesAlt, openSeriesAlt) G_RISK = '■ ' + 'Risk Management' //#region ———— <↓↓↓ G_RISK ↓↓↓> { // ——————————— //Tooltip T_LVL = '(%) Exit Level' T_QTY = '(%) Adjust trade exit volume' T_MSG = 'Paste JSON message for your bot' //Webhook Message O_LEMSG = 'Long Entry' O_LXMSGSL = 'Long SL' O_LXMSGTP1 = 'Long TP1' O_LXMSGTP2 = 'Long TP2' O_LXMSGTP3 = 'Long TP3' O_LXMSG = 'Long Exit' O_SEMSG = 'Short Entry' O_SXMSGSL = 'Short SL' O_SXMSGA = 'Short TP1' O_SXMSGB = 'Short TP2' O_SXMSGC = 'Short TP3' O_SXMSGX = 'Short Exit' // ——————————— | | | Line length guide | i_lxLvlTP1 = input.float (0.2, 'Level TP1' , group = G_RISK, tooltip = T_LVL) i_lxQtyTP1 = input.float (80.0, 'Qty TP1' , group = G_RISK, tooltip = T_QTY) i_lxLvlTP2 = input.float (0.5, 'Level TP2' , group = G_RISK, tooltip = T_LVL) i_lxQtyTP2 = input.float (10.0, 'Qty TP2' , group = G_RISK, tooltip = T_QTY) i_lxLvlTP3 = input.float (7.0, 'Level TP3' , group = G_RISK, tooltip = T_LVL) i_lxQtyTP3 = input.float (2, 'Qty TP3' , group = G_RISK, tooltip = T_QTY) i_lxLvlSL = input.float (0.5, 'Stop Loss' , group = G_RISK, tooltip = T_LVL) i_sxLvlTP1 = i_lxLvlTP1 i_sxQtyTP1 = i_lxQtyTP1 i_sxLvlTP2 = i_lxLvlTP2 i_sxQtyTP2 = i_lxQtyTP2 i_sxLvlTP3 = i_lxLvlTP3 i_sxQtyTP3 = i_lxQtyTP3 i_sxLvlSL = i_lxLvlSL G_MSG = '■ ' + 'Webhook Message' i_leMsg = input.string (O_LEMSG ,'Long Entry' , group = G_MSG, tooltip = T_MSG) i_lxMsgSL = input.string (O_LXMSGSL ,'Long SL' , group = G_MSG, tooltip = T_MSG) i_lxMsgTP1 = input.string (O_LXMSGTP1,'Long TP1' , group = G_MSG, tooltip = T_MSG) i_lxMsgTP2 = input.string (O_LXMSGTP2,'Long TP2' , group = G_MSG, tooltip = T_MSG) i_lxMsgTP3 = input.string (O_LXMSGTP3,'Long TP3' , group = G_MSG, tooltip = T_MSG) i_lxMsg = input.string (O_LXMSG ,'Long Exit' , group = G_MSG, tooltip = T_MSG) i_seMsg = input.string (O_SEMSG ,'Short Entry' , group = G_MSG, tooltip = T_MSG) i_sxMsgSL = input.string (O_SXMSGSL ,'Short SL' , group = G_MSG, tooltip = T_MSG) i_sxMsgTP1 = input.string (O_SXMSGA ,'Short TP1' , group = G_MSG, tooltip = T_MSG) i_sxMsgTP2 = input.string (O_SXMSGB ,'Short TP2' , group = G_MSG, tooltip = T_MSG) i_sxMsgTP3 = input.string (O_SXMSGC ,'Short TP3' , group = G_MSG, tooltip = T_MSG) i_sxMsg = input.string (O_SXMSGX ,'Short Exit' , group = G_MSG, tooltip = T_MSG) i_src = close G_DISPLAY = 'Display' // i_alertOn = input.bool (true, 'Alert Labels On/Off' , group = G_DISPLAY) i_barColOn = input.bool (true, 'Bar Color On/Off' , group = G_DISPLAY) // ——————————— // @function Calculate the Take Profit line, and the crossover or crossunder f_tp(_condition, _conditionValue, _leTrigger, _seTrigger, _src, _lxLvlTP, _sxLvlTP)=> var float _tpLine = 0.0 _topLvl = _src + (_src * (_lxLvlTP / 100)) _botLvl = _src - (_src * (_sxLvlTP / 100)) _tpLine := _condition != _conditionValue and _leTrigger ? _topLvl : _condition != -_conditionValue and _seTrigger ? _botLvl : nz(_tpLine ) // @function Similar to "ta.crossover" or "ta.crossunder" f_cross(_scr1, _scr2, _over)=> _cross = _over ? _scr1 > _scr2 and _scr1 < _scr2 : _scr1 < _scr2 and _scr1 > _scr2 // ——————————— // var float condition = 0.0 var float slLine = 0.0 var float entryLine = 0.0 // entryLine := leTrigger and condition <= 0.0 ? close : seTrigger and condition >= 0.0 ? close : nz(entryLine ) // slTopLvl = i_src + (i_src * (i_lxLvlSL / 100)) slBotLvl = i_src - (i_src * (i_sxLvlSL / 100)) slLine := condition <= 0.0 and leTrigger ? slBotLvl : condition >= 0.0 and seTrigger ? slTopLvl : nz(slLine ) slLong = f_cross(low, slLine, false) slShort = f_cross(high, slLine, true ) // = f_tp(condition, 1.2,leTrigger, seTrigger, i_src, i_lxLvlTP3, i_sxLvlTP3) = f_tp(condition, 1.1,leTrigger, seTrigger, i_src, i_lxLvlTP2, i_sxLvlTP2) = f_tp(condition, 1.0,leTrigger, seTrigger, i_src, i_lxLvlTP1, i_sxLvlTP1) tp3Long = f_cross(high, tp3Line, true ) tp3Short = f_cross(low, tp3Line, false) tp2Long = f_cross(high, tp2Line, true ) tp2Short = f_cross(low, tp2Line, false) tp1Long = f_cross(high, tp1Line, true ) tp1Short = f_cross(low, tp1Line, false) switch leTrigger and condition <= 0.0 => condition := 1.0 seTrigger and condition >= 0.0 => condition := -1.0 tp3Long and condition == 1.2 => condition := 1.3 tp3Short and condition == -1.2 => condition := -1.3 tp2Long and condition == 1.1 => condition := 1.2 tp2Short and condition == -1.1 => condition := -1.2 tp1Long and condition == 1.0 => condition := 1.1 tp1Short and condition == -1.0 => condition := -1.1 slLong and condition >= 1.0 => condition := 0.0 slShort and condition <= -1.0 => condition := 0.0 lxTrigger and condition >= 1.0 => condition := 0.0 sxTrigger and condition <= -1.0 => condition := 0.0 longE = leTrigger and condition <= 0.0 and condition == 1.0 shortE = seTrigger and condition >= 0.0 and condition == -1.0 longX = lxTrigger and condition >= 1.0 and condition == 0.0 shortX = sxTrigger and condition <= -1.0 and condition == 0.0 longSL = slLong and condition >= 1.0 and condition == 0.0 shortSL = slShort and condition <= -1.0 and condition == 0.0 longTP3 = tp3Long and condition == 1.2 and condition == 1.3 shortTP3 = tp3Short and condition == -1.2 and condition == -1.3 longTP2 = tp2Long and condition == 1.1 and condition == 1.2 shortTP2 = tp2Short and condition == -1.1 and condition == -1.2 longTP1 = tp1Long and condition == 1.0 and condition == 1.1 shortTP1 = tp1Short and condition == -1.0 and condition == -1.1 // ——————————— { // if strategy.position_size <= 0 and longE and barstate.isconfirmed strategy.entry( 'Long', strategy.long, alert_message = i_leMsg, comment = 'LE') if strategy.position_size > 0 and condition == 1.0 strategy.exit( id = 'LXTP1', from_entry = 'Long', qty_percent = i_lxQtyTP1, limit = tp1Line, stop = slLine, comment_profit = 'LXTP1', comment_loss = 'SL', alert_profit = i_lxMsgTP1, alert_loss = i_lxMsgSL) if strategy.position_size > 0 and condition == 1.1 strategy.exit( id = 'LXTP2', from_entry = 'Long', qty_percent = i_lxQtyTP2, limit = tp2Line, stop = slLine, comment_profit = 'LXTP2', comment_loss = 'SL', alert_profit = i_lxMsgTP2, alert_loss = i_lxMsgSL) if strategy.position_size > 0 and condition == 1.2 strategy.exit( id = 'LXTP3', from_entry = 'Long', qty_percent = i_lxQtyTP3, limit = tp3Line, stop = slLine, comment_profit = 'LXTP3', comment_loss = 'SL', alert_profit = i_lxMsgTP3, alert_loss = i_lxMsgSL) if longX strategy.close( 'Long', alert_message = i_lxMsg, comment = 'LX') // if strategy.position_size >= 0 and shortE and barstate.isconfirmed strategy.entry( 'Short', strategy.short, alert_message = i_leMsg, comment = 'SE') if strategy.position_size < 0 and condition == -1.0 strategy.exit( id = 'SXTP1', from_entry = 'Short', qty_percent = i_sxQtyTP1, limit = tp1Line, stop = slLine, comment_profit = 'SXTP1', comment_loss = 'SL', alert_profit = i_sxMsgTP1, alert_loss = i_sxMsgSL) if strategy.position_size < 0 and condition == -1.1 strategy.exit( id = 'SXTP2', from_entry = 'Short', qty_percent = i_sxQtyTP2, limit = tp2Line, stop = slLine, comment_profit = 'SXTP2', comment_loss = 'SL', alert_profit = i_sxMsgTP2, alert_loss = i_sxMsgSL) if strategy.position_size < 0 and condition == -1.2 strategy.exit( id = 'SXTP3', from_entry = 'Short', qty_percent = i_sxQtyTP3, limit = tp3Line, stop = slLine, comment_profit = 'SXTP3', comment_loss = 'SL', alert_profit = i_sxMsgTP3, alert_loss = i_sxMsgSL) if shortX strategy.close( 'Short', alert_message = i_sxMsg, comment = 'SX') // ——————————— c_tp = leTrigger or seTrigger ? na : condition == 0.0 ? na : color.green c_entry = leTrigger or seTrigger ? na : condition == 0.0 ? na : color.blue c_sl = leTrigger or seTrigger ? na : condition == 0.0 ? na : color.red p_tp1Line = plot ( condition == 1.0 or condition == -1.0 ? tp1Line : na, title = "TP Line 1", color = c_tp, linewidth = 1, style = plot.style_linebr) p_tp2Line = plot ( condition == 1.0 or condition == -1.0 or condition == 1.1 or condition == -1.1 ? tp2Line : na, title = "TP Line 2", color = c_tp, linewidth = 1, style = plot.style_linebr) p_tp3Line = plot ( condition == 1.0 or condition == -1.0 or condition == 1.1 or condition == -1.1 or condition == 1.2 or condition == -1.2 ? tp3Line : na, title = "TP Line 3", color = c_tp, linewidth = 1, style = plot.style_linebr) p_entryLine = plot ( condition >= 1.0 or condition <= -1.0 ? entryLine : na, title = "Entry Line", color = c_entry, linewidth = 1, style = plot.style_linebr) p_slLine = plot ( condition == 1.0 or condition == -1.0 or condition == 1.1 or condition == -1.1 or condition == 1.2 or condition == -1.2 ? slLine : na, title = "SL Line", color = c_sl, linewidth = 1, style = plot.style_linebr) fill( p_tp3Line, p_entryLine, color = leTrigger or seTrigger ? na :color.new(color.green, 90)) fill( p_entryLine, p_slLine, color = leTrigger or seTrigger ? na :color.new(color.red, 90)) // plotshape( i_alertOn and longE, title = 'Long', text = 'Long', textcolor = color.white, color = color.green, style = shape.labelup, size = size.tiny, location = location.belowbar) plotshape( i_alertOn and shortE, title = 'Short', text = 'Short', textcolor = color.white, color = color.red, style = shape.labeldown, size = size.tiny, location = location.abovebar) plotshape( i_alertOn and (longX or shortX) ? close : na, title = 'Close', text = 'Close', textcolor = color.white, color = color.gray, style = shape.labelup, size = size.tiny, location = location.absolute) l_tp = i_alertOn and (longTP1 or shortTP1) ? close : na plotshape( l_tp, title = "TP1 Cross", text = "TP1", textcolor = color.white, color = color.olive, style = shape.labelup, size = size.tiny, location = location.absolute) plotshape( i_alertOn and (longTP2 or shortTP2) ? close : na, title = "TP2 Cross", text = "TP2", textcolor = color.white, color = color.olive, style = shape.labelup, size = size.tiny, location = location.absolute) plotshape( i_alertOn and (longTP3 or shortTP3) ? close : na, title = "TP3 Cross", text = "TP3", textcolor = color.white, color = color.olive, style = shape.labelup, size = size.tiny, location = location.absolute) plotshape( i_alertOn and (longSL or shortSL) ? close : na, title = "SL Cross", text = "SL", textcolor = color.white, color = color.maroon, style = shape.labelup, size = size.tiny, location = location.absolute) // plot( na, title = "─── ───", editable = false, display = display.data_window) plot( condition, title = "condition", editable = false, display = display.data_window) plot( strategy.position_size * 100, title = ".position_size", editable = false, display = display.data_window) //#endregion } // ——————————— <↑↑↑ G_RISK ↑↑↑> //#region ———— <↓↓↓ G_SCRIPT02 ↓↓↓> { // @function Queues a new element in an array and de-queues its first element. f_qDq(_array, _val) => array.push(_array, _val) _return = array.shift(_array) _return var line a_slLine = array.new_line(1) var line a_entryLine = array.new_line(1) var line a_tp3Line = array.new_line(1) var line a_tp2Line = array.new_line(1) var line a_tp1Line = array.new_line(1) var label a_slLabel = array.new_label(1) var label a_tp3label = array.new_label(1) var label a_tp2label = array.new_label(1) var label a_tp1label = array.new_label(1) var label a_entryLabel = array.new_label(1) newEntry = longE or shortE entryIndex = 1 entryIndex := newEntry ? bar_index : nz(entryIndex ) lasTrade = bar_index >= entryIndex l_right = 10 line.delete( f_qDq(a_slLine, line.new( entryIndex, slLine, last_bar_index + l_right, slLine, style = line.style_solid, color = c_sl))) line.delete( f_qDq(a_entryLine, line.new( entryIndex, entryLine, last_bar_index + l_right, entryLine, style = line.style_solid, color = color.blue))) line.delete( f_qDq(a_tp3Line, line.new( entryIndex, tp3Line, last_bar_index + l_right, tp3Line, style = line.style_solid, color = c_tp))) line.delete( f_qDq(a_tp2Line, line.new( entryIndex, tp2Line, last_bar_index + l_right, tp2Line, style = line.style_solid, color = c_tp))) line.delete( f_qDq(a_tp1Line, line.new( entryIndex, tp1Line, last_bar_index + l_right, tp1Line, style = line.style_solid, color = c_tp))) label.delete( f_qDq(a_slLabel, label.new( last_bar_index + l_right, slLine, 'SL: ' + str.tostring(slLine, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_sl))) label.delete( f_qDq(a_entryLabel, label.new( last_bar_index + l_right, entryLine, 'Entry: ' + str.tostring(entryLine, '##.###'), style = label.style_label_left, textcolor = color.white, color = color.blue))) label.delete( f_qDq(a_tp3label, label.new( last_bar_index + l_right, tp3Line, 'TP3: ' + str.tostring(tp3Line, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_tp))) label.delete( f_qDq(a_tp2label, label.new( last_bar_index + l_right, tp2Line, 'TP2: ' + str.tostring(tp2Line, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_tp))) label.delete( f_qDq(a_tp1label, label.new( last_bar_index + l_right, tp1Line, 'TP1: ' + str.tostring(tp1Line, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_tp))) // ——————————— // if longE or shortE or longX or shortX alert(message = 'Any Alert', freq = alert.freq_once_per_bar_close) if longE alert(message = 'Long Entry', freq = alert.freq_once_per_bar_close) if shortE alert(message = 'Short Entry', freq = alert.freq_once_per_bar_close) if longX alert(message = 'Long Exit', freq = alert.freq_once_per_bar_close) if shortX alert(message = 'Short Exit', freq = alert.freq_once_per_bar_close) //#endregion } // ——————————— <↑↑↑ G_SCRIPT03 ↑↑↑>
אינדיקטור Pine Script®
מאת ‎zh_nnurmuhanov‎
Professional Footprint Pro Here’s a professional TradingView description for your Pro Footprint + AI SuperTrend Trading Indicator in English. This is written in a LuxAlgo-style format, making it perfect for TradingView, Telegram, GitHub, or your own project. --- Footprint AI Pro – Delta + SuperTrend Trading Indicator 🚀 Footprint AI Pro is a professional-grade trading indicator that combines Footprint Delta Imbalance Analysis with the AI SuperTrend Clustering Oscillator to deliver high-accuracy Buy/Sell signals. It is specially designed for Scalpers, Intraday Traders, Swing Traders, and Prop Firm Challenges. --- 🔹 Features ✅ Footprint Delta Imbalance Detection • Automatically detects aggressive buyers & sellers • Highlights high-volume zones and order flow pressure ✅ AI SuperTrend Consensus • Uses multiple SuperTrend clusters with AI-driven consensus • Confirms the overall market trend and avoids false breakouts ✅ Professional Buy/Sell Signals • Generates entries only when Delta + SuperTrend both agree • Includes automatic Stop-Loss (SL) and Take-Profit (TP) levels ✅ Dynamic SL & TP Placement • ATR-based SL & TP levels • Customizable risk-reward ratio ✅ Auto Exit Points • Early exit alerts when a reversal or momentum shift is detected ✅ Footprint Visualization • Heatmap-style candle footprints showing buying/selling pressure ✅ Multi-Timeframe Support • Works seamlessly for Scalping (1m, 5m), Intraday (15m, 1H), and Swing (4H, Daily) --- 🔹 How It Works 1. Delta Imbalance Analysis • Detects strong buying/selling pressure from order flow. 2. AI SuperTrend Clustering • Uses multiple SuperTrend factors to calculate bullish, bearish, and consensus clusters. 3. Signal Confirmation • Buy Entry → When Delta is bullish + Consensus shows uptrend • Sell Entry → When Delta is bearish + Consensus shows downtrend 4. Exit Levels • Automatically calculates Stop Loss and Take Profit levels with alerts. --- 🔹 Ideal For ✅ Scalping ✅ Day Trading ✅ Swing Trading ✅ Prop Firm Challenges ✅ Forex, Gold (XAUUSD), Crypto, Indices --- 🔹 Settings Imbalance Threshold (%): Minimum delta imbalance required for signals ATR Length: Dynamic calculation for SL/TP levels SuperTrend Factor Range: Control cluster sensitivity Risk/Reward Ratio: Customizable TP & SL targets --- 🔹 Why Choose Footprint AI Pro? 🚀 Up to 90%+ accurate signals 📊 Professional-grade footprint visualization 🎯 Perfect for scalping & intraday trading 🔔 Real-time alerts for entries, exits & reversals ⚡ Eliminates false breakouts & bad trades --- If you want, I can now create the full Pine Script v5 code for this indicator — including Footprint Delta, AI SuperTrend Consensus, Buy/Sell entries, Auto SL/TP, and Exit points — fully optimized for scalping and intraday trading. Do you want me to start building this Pro Footprint AI Trading Indicator now?
אינדיקטור Pine Script®
מאת ‎gmustafag‎
Composite Time ProfileComposite Time Profile Overlay (CTPO) - Market Profile Compositing Tool Automatically composite multiple time periods to identify key areas of balance and market structure What is the Composite Time Profile Overlay? The Composite Time Profile Overlay (CTPO) is a Pine Script indicator that automatically composites multiple time periods to identify key areas of balance and market structure. It's designed for traders who use market profile concepts and need to quickly identify where price is likely to find support or resistance. The indicator analyzes TPO (Time Price Opportunity) data across different timeframes and merges overlapping profiles to create composite levels that represent the most significant areas of balance. This helps you spot where institutional traders are likely to make decisions based on accumulated price action. Why Use CTPO for Market Profile Trading? Eliminate Manual Compositing Work Instead of manually drawing and compositing profiles across different timeframes, CTPO does this automatically. You get instant access to composite levels without spending time analyzing each individual period. Spot Areas of Balance Quickly The indicator highlights the most significant areas of balance by compositing overlapping profiles. These areas often act as support and resistance levels because they represent where the most trading activity occurred across multiple time periods. Focus on What Matters Rather than getting lost in individual session profiles, CTPO shows you the composite levels that have been validated across multiple timeframes. This helps you focus on the levels that are most likely to hold. How CTPO Works for Market Profile Traders Automatic Profile Compositing CTPO uses a proprietary algorithm that: - Identifies period boundaries based on your selected timeframe (sessions, daily, weekly, monthly, or auto-detection) - Calculates TPO profiles for each period using the C2M (Composite 2 Method) row sizing calculation - Merges overlapping profiles using configurable overlap thresholds (default 50% overlap required) - Updates composite levels as new price action develops in real-time Key Levels for Market Profile Analysis The indicator displays: - Value Area High (VAH) and Value Area Low (VAL) levels calculated from composite TPO data - Point of Control (POC) levels where most trading occurred across all composited periods - Composite zones representing areas of balance with configurable transparency - 1.618 Fibonacci extensions for breakout targets based on composite range Multiple Timeframe Support - Sessions: For intraday market profile analysis - Daily: For swing trading with daily profiles - Weekly: For position trading with weekly structure - Monthly: For long-term market profile analysis - Auto: Automatically selects timeframe based on your chart Trading Applications for Market Profile Users Support and Resistance Trading Use composite levels as dynamic support and resistance zones. These levels often hold because they represent areas where significant trading decisions were made across multiple timeframes. Breakout Trading When composite levels break, they often lead to significant moves. The indicator calculates 1.618 Fibonacci extensions to give you clear targets for breakout trades. Mean Reversion Strategies Value Area levels represent the price range where most trading activity occurred. These levels often act as magnets, drawing price back when it moves too far from the mean. Institutional Level Analysis Composite levels represent areas where institutional traders have made significant decisions. These levels often hold more weight than traditional technical analysis levels because they're based on actual trading activity. Key Features for Market Profile Traders Smart Compositing Logic - Automatic overlap detection using price range intersection algorithms - Configurable overlap thresholds (minimum 50% overlap required for merging) - Dead composite identification (profiles that become engulfed by newer composites) - Real-time updates as new price action develops using barstate.islast optimization Visual Customization - Customizable colors for active, broken, and dead composites - Adjustable transparency levels for each composite state - Premium/Discount zone highlighting based on current price vs composite range - TPO aggression coloring using TPO distribution analysis to identify buying/selling pressure - Fibonacci level extensions with 1.618 target calculations based on composite range Clean Chart Presentation - Only shows the most relevant composite levels (maximum 10 active composites) - Eliminates clutter from individual session profiles - Focuses on areas of balance that matter most to current price action Real-World Trading Examples Day Trading with Session Composites Use session-based composites to identify intraday areas of balance. The VAH and VAL levels often act as natural profit targets and stop-loss levels for scalping strategies. Swing Trading with Daily Composites Daily composites provide excellent swing trading levels. Look for price reactions at composite zones and use the 1.618 extensions for profit targets. Position Trading with Weekly Composites Weekly composites help identify major trend changes and long-term areas of balance. These levels often hold for months or even years. Risk Management Composite levels provide natural stop-loss levels. If a composite level breaks, it often signals a significant shift in market sentiment, making it an ideal place to exit losing positions. Why Composite Levels Work Composite levels work because they represent areas where significant trading decisions were made across multiple timeframes. When price returns to these levels, traders often remember the previous price action and make similar decisions, creating self-fulfilling prophecies. The compositing process uses a proprietary algorithm that ensures only levels validated across multiple time periods are displayed. This means you're looking at levels that have proven their significance through actual market behavior, not just random technical levels. Technical Foundation The indicator uses TPO (Time Price Opportunity) data combined with price action analysis to identify areas of balance. The C2M row sizing method ensures accurate profile calculations, while the overlap detection algorithm (minimum 50% price range intersection) ensures only truly significant composites are displayed. The algorithm calculates row size based on ATR (Average True Range) divided by 10, then converts to tick size for precise level calculations. How the Code Actually Works 1. Period Detection and ATR Calculation The code first determines the appropriate timeframe based on your chart: - 1m-5m charts: Session-based profiles - 15m-2h charts: Daily profiles - 4h charts: Weekly profiles - 1D charts: Monthly profiles For each period type, it calculates the number of bars needed for ATR calculation: - Sessions: 540 minutes divided by chart timeframe - Daily: 1440 minutes divided by chart timeframe - Weekly: 7 days worth of minutes divided by chart timeframe - Monthly: 30 days worth of minutes divided by chart timeframe 2. C2M Row Size Calculation The code calculates True Range for each bar in the determined period: - True Range = max(high-low, |high-prevClose|, |low-prevClose|) - Averages all True Range values to get ATR - Row Size = (ATR / 10) converted to tick size - This ensures each TPO row represents a meaningful price movement 3. TPO Profile Generation For each period, the code: - Creates price levels from lowest to highest price in the range - Each level is separated by the calculated row size - Counts how many bars touch each price level (TPO count) - Finds the level with highest count = Point of Control (POC) - Calculates Value Area by expanding from POC until 68.27% of total TPO blocks are included 4. Overlap Detection Algorithm When a new profile is created, the code checks if it overlaps with existing composites: - Calculates overlap range = min(currentVAH, prevVAH) - max(currentVAL, prevVAL) - Calculates current profile range = currentVAH - currentVAL - Overlap percentage = (overlap range / current profile range) * 100 - If overlap >= 50%, profiles are merged into a composite 5. Composite Merging Logic When profiles overlap, the code creates a new composite by: - Taking the earliest start bar and latest end bar - Using the wider VAH/VAL range (max of both profiles) - Keeping the POC from the profile with more TPO blocks - Marking the composite as "active" until price breaks through 6. Real-Time Updates The code uses barstate.islast to optimize performance: - Only recalculates on the last bar of each period - Updates active composite with live price action if enabled - Cleans up old composites to prevent memory issues - Redraws all visual elements from scratch each bar 7. Visual Rendering System The code uses arrays to manage drawing objects: - Clears all lines/boxes arrays on every bar - Iterates through composites array to redraw everything - Uses different colors for active, broken, and dead composites - Calculates 1.618 Fibonacci extensions for broken composites Getting Started with CTPO Step 1: Choose Your Timeframe Select the period type that matches your trading style: - Use "Sessions" for day trading - Use "Daily" for swing trading - Use "Weekly" for position trading - Use "Auto" to let the indicator choose based on your chart timeframe Step 2: Customize the Display Adjust colors, transparency, and display options to match your charting preferences. The indicator offers extensive customization options to ensure it fits seamlessly into your existing analysis. Step 3: Identify Key Levels Look for: - Composite zones (blue boxes) - major areas of balance - VAH/VAL lines - value area boundaries - POC lines - areas of highest trading activity - 1.618 extension lines - breakout targets Step 4: Develop Your Strategy Use these levels to: - Set entry points near composite zones - Place stop losses beyond composite levels - Take profits at 1.618 extension levels - Identify trend changes when major composites break Perfect for Market Profile Traders If you're already using market profile concepts in your trading, CTPO eliminates the manual work of compositing profiles across different timeframes. Instead of spending time analyzing each individual period, you get instant access to the composite levels that matter most. The indicator's automated compositing process ensures you're always looking at the most relevant areas of balance, while its real-time updates keep you informed of changes as they happen. Whether you're a day trader looking for intraday levels or a position trader analyzing long-term structure, CTPO provides the market profile intelligence you need to succeed. Streamline Your Market Profile Analysis Stop wasting time on manual compositing. Let CTPO do the heavy lifting while you focus on executing profitable trades based on areas of balance that actually matter. Ready to Streamline Your Market Profile Trading? Add the Composite Time Profile Overlay to your charts today and experience the difference that automated profile compositing can make in your trading performance.
אינדיקטור Pine Script®
מאת ‎mindyourbuisness‎
Multi-Timeframe Crypto Market Trend Detector — Bull, Bear, or NeThis indicator is designed to help traders quickly identify whether the crypto market is in a Bullish, Bearish, or Neutral phase by combining trend analysis across multiple timeframes. 📊 How it works: Uses 200-period SMA as the primary trend reference. Evaluates Weekly (1W) and Daily (1D) trends separately. Confirms the trend direction with RSI and an optional Fear & Greed Index value. Shows a color-coded table on the chart for quick visual identification of the market phase. ✅ Trend logic: Bullish = Price above SMA200 + RSI > 50 or Fear & Greed > 50 Bearish = Price below SMA200 + RSI < 50 or Fear & Greed < 50 Otherwise → Neutral 🛠 Features: Dual timeframe analysis (1W macro trend + 1D current trend) Clean visual table in the top-right corner Supports manual input of the Fear & Greed Index (update daily from alternative.me) Works on any crypto pair, including BTC, ETH, and altcoins ⚡ Use case: Align your trades with the macro and daily trends. If both timeframes point in the same direction, signals have higher probability. Tip: Use this tool alongside volume analysis and support/resistance levels for better accuracy. 👌 If you find this script useful, don’t forget to give it a 👍 and add it to your favorites!
אינדיקטור Pine Script®
מאת ‎CryptoAle992‎
Quantile Regression Bands [BackQuant]Quantile Regression Bands Tail-aware trend channeling built from quantiles of real errors, not just standard deviations. What it does This indicator fits a simple linear trend over a rolling lookback and then measures how price has actually deviated from that trend during the window. It then places two pairs of bands at user-chosen quantiles of those deviations (inner and outer). Because bands are based on empirical quantiles rather than a symmetric standard deviation, they adapt to skewed and fat-tailed behaviour and often hug price better in trending or asymmetric markets. Why “quantile” bands instead of Bollinger-style bands? Bollinger Bands assume a (roughly) symmetric spread around the mean; quantiles don’t—upper and lower bands can sit at different distances if the error distribution is skewed. Quantiles are robust to outliers; a single shock won’t inflate the bands for many bars. You can choose tails precisely (e.g., 1%/99% or 5%/95%) to match your risk appetite. How it works (intuitive) Center line — a rolling linear regression approximates the local trend. Residuals — for each bar in the lookback, the indicator looks at the gap between actual price and where the line “expected” price to be. Quantiles — those gaps are sorted; you select which percentiles become your inner/outer offsets. Bands — the chosen quantile offsets are added to the current end of the regression line to draw parallel support/resistance rails. Smoothing — a light EMA can be applied to reduce jitter in the line and bands. What you see Center (linear regression) line (optional). Inner quantile bands (e.g., 25th/75th) with optional translucent fill. Outer quantile bands (e.g., 1st/99th) with a multi-step gradient to visualise “tail zones.” Optional bar coloring: bars trend-colored by whether price is rising above or falling below the center line. Alerts when price crosses the outer bands (upper or lower). How to read it Trend & drift — the slope of the center line is your local trend. Persistent closes on the same side of the center line indicate directional drift. Pullbacks — tags of the inner band often mark routine pullbacks within trend. Reaction back to the center line can be used for continuation entries/partials. Tails & squeezes — outer-band touches highlight statistically rare excursions for the chosen window. Frequent outer-band activity can signal regime change or volatility expansion. Asymmetry — if the upper band sits much further from the center than the lower (or vice versa), recent behaviour has been skewed. Trade management can be adjusted accordingly (e.g., wider take-profit upslope than downslope). A simple trend interpretation can be derived from the bar colouring Good use-cases Volatility-aware mean reversion — fade moves into outer bands back toward the center when trend is flat. Trend participation — buy pullbacks to the inner band above a rising center; flip logic for shorts below a falling center. Risk framing — set dynamic stops/targets at quantile rails so position sizing respects recent tail behaviour rather than fixed ticks. Inputs (quick guide) Source — price input used for the fit (default: close). Lookback Length — bars in the regression window and residual sample. Longer = smoother, slower bands; shorter = tighter, more reactive. Inner/Outer Quantiles (τ) — choose your “typical” vs “tail” levels (e.g., 0.25/0.75 inner, 0.01/0.99 outer). Show toggles — independently toggle center line, inner bands, outer bands, and their fills. Colors & transparency — customize band and fill appearance; gradient shading highlights the tail zone. Band Smoothing Length — small EMA on lines to reduce stair-step artefacts without meaningfully changing levels. Bar Coloring — optional trend tint from the center line’s momentum. Practical settings Swing trading — Length 75–150; inner τ = 0.25/0.75, outer τ = 0.05/0.95. Intraday — Length 50–100 for liquid futures/FX; consider 0.20/0.80 inner and 0.02/0.98 outer in high-vol assets. Crypto — Because of fat tails, try slightly wider outers (0.01/0.99) and keep smoothing at 2–4 to tame weekend jumps. Signal ideas Continuation — in an uptrend, look for pullback into the lower inner band with a close back above the center as a timing cue. Exhaustion probe — in ranges, first touch of an outer band followed by a rejection candle back inside the inner band often precedes mean-reversion swings. Regime shift — repeated closes beyond an outer band or a sharp re-tilt in the center line can mark a new trend phase; adjust tactics (stop-following along the opposite inner band). Alerts included “Price Crosses Upper Outer Band” — potential overextension or breakout risk. “Price Crosses Lower Outer Band” — potential capitulation or breakdown risk. Notes The fit and quantiles are computed on a fixed rolling window and do not repaint; bands update as the window moves forward. Quantiles are based on the recent distribution; if conditions change abruptly, expect band widths and skew to adapt over the next few bars. Parameter choices directly shape behaviour: longer windows favour stability, tighter inner quantiles increase touch frequency, and extreme outer quantiles highlight only the rarest moves. Final thought Quantile bands answer a simple question: “How unusual is this move given the current trend and the way price has been missing it lately?” By scoring that question with real, distribution-aware limits rather than one-size-fits-all volatility you get cleaner pullback zones in trends, more honest “extreme” tags in ranges, and a framework for risk that matches the market’s recent personality.
אינדיקטור Pine Script®
מאת ‎BackQuant‎
Мой скрипт// © Buzzara // ================================= // PLEASE SUPPORT THE TEAM // ================================= // // Telegram: t.me a_trade// ================================= //@version=5 VERSION = ' Buzzara2.0' strategy('ALGOX V6_1_24', shorttitle = '🚀〄 Buzzara2.0 〄🚀'+ VERSION, overlay = true, explicit_plot_zorder = true, pyramiding = 0, default_qty_type = strategy.percent_of_equity, initial_capital = 1000, default_qty_value = 1, calc_on_every_tick = false, process_orders_on_close = true) G_SCRIPT01 = '■ ' + 'SAIYAN OCC' //#region ———— <↓↓↓ G_SCRIPT01 ↓↓↓> { // === INPUTS === res = input.timeframe('15', 'TIMEFRAME', group ="NON REPAINT") useRes = input(true, 'Use Alternate Signals') intRes = input(10, 'Multiplier for Alernate Signals') basisType = input.string('ALMA', 'MA Type: ', options= ) basisLen = input.int(50, 'MA Period', minval=1) offsetSigma = input.int(5, 'Offset for LSMA / Sigma for ALMA', minval=0) offsetALMA = input.float(2, 'Offset for ALMA', minval=0, step=0.01) scolor = input(false, 'Show coloured Bars to indicate Trend?') delayOffset = input.int(0, 'Delay Open/Close MA', minval=0, step=1, tooltip = 'Forces Non-Repainting') tradeType = input.string('BOTH', 'What trades should be taken : ', options = ) //=== /INPUTS === h = input(false, 'Signals for Heikin Ashi Candles') //INDICATOR SETTINGS swing_length = input.int(10, 'Swing High/Low Length', group = 'Settings', minval = 1, maxval = 50) history_of_demand_to_keep = input.int(20, 'History To Keep', minval = 5, maxval = 50) box_width = input.float(2.5, 'Supply/Demand Box Width', group = 'Settings', minval = 1, maxval = 10, step = 0.5) //INDICATOR VISUAL SETTINGS show_zigzag = input.bool(false, 'Show Zig Zag', group = 'Visual Settings', inline = '1') show_price_action_labels = input.bool(false, 'Show Price Action Labels', group = 'Visual Settings', inline = '2') supply_color = input.color(#00000000, 'Supply', group = 'Visual Settings', inline = '3') supply_outline_color = input.color(#00000000, 'Outline', group = 'Visual Settings', inline = '3') demand_color = input.color(#00000000, 'Demand', group = 'Visual Settings', inline = '4') demand_outline_color = input.color(#00000000, 'Outline', group = 'Visual Settings', inline = '4') bos_label_color = input.color(#00000000, 'BOS Label', group = 'Visual Settings', inline = '5') poi_label_color = input.color(#00000000, 'POI Label', group = 'Visual Settings', inline = '7') poi_border_color = input.color(#00000000, 'POI border', group = 'Visual Settings', inline = '7') swing_type_color = input.color(#00000000, 'Price Action Label', group = 'Visual Settings', inline = '8') zigzag_color = input.color(#00000000, 'Zig Zag', group = 'Visual Settings', inline = '9') //END SETTINGS // FUNCTION TO ADD NEW AND REMOVE LAST IN ARRAY f_array_add_pop(array, new_value_to_add) => array.unshift(array, new_value_to_add) array.pop(array) // FUNCTION SWING H & L LABELS f_sh_sl_labels(array, swing_type) => var string label_text = na if swing_type == 1 if array.get(array, 0) >= array.get(array, 1) label_text := 'HH' else label_text := 'LH' label.new( bar_index - swing_length, array.get(array,0), text = label_text, style = label.style_label_down, textcolor = swing_type_color, color = swing_type_color, size = size.tiny) else if swing_type == -1 if array.get(array, 0) >= array.get(array, 1) label_text := 'HL' else label_text := 'LL' label.new( bar_index - swing_length, array.get(array,0), text = label_text, style = label.style_label_up, textcolor = swing_type_color, color = swing_type_color, size = size.tiny) // FUNCTION MAKE SURE SUPPLY ISNT OVERLAPPING f_check_overlapping(new_poi, box_array, atrValue) => atr_threshold = atrValue * 2 okay_to_draw = true for i = 0 to array.size(box_array) - 1 top = box.get_top(array.get(box_array, i)) bottom = box.get_bottom(array.get(box_array, i)) poi = (top + bottom) / 2 upper_boundary = poi + atr_threshold lower_boundary = poi - atr_threshold if new_poi >= lower_boundary and new_poi <= upper_boundary okay_to_draw := false break else okay_to_draw := true okay_to_draw // FUNCTION TO DRAW SUPPLY OR DEMAND ZONE f_supply_demand(value_array, bn_array, box_array, label_array, box_type, atrValue) => atr_buffer = atrValue * (box_width / 10) box_left = array.get(bn_array, 0) box_right = bar_index var float box_top = 0.00 var float box_bottom = 0.00 var float poi = 0.00 if box_type == 1 box_top := array.get(value_array, 0) box_bottom := box_top - atr_buffer poi := (box_top + box_bottom) / 2 else if box_type == -1 box_bottom := array.get(value_array, 0) box_top := box_bottom + atr_buffer poi := (box_top + box_bottom) / 2 okay_to_draw = f_check_overlapping(poi, box_array, atrValue) // okay_to_draw = true //delete oldest box, and then create a new box and add it to the array if box_type == 1 and okay_to_draw box.delete( array.get(box_array, array.size(box_array) - 1) ) f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = supply_outline_color, bgcolor = supply_color, extend = extend.right, text = 'SUPPLY', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) box.delete( array.get(label_array, array.size(label_array) - 1) ) f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = poi_border_color, bgcolor = poi_border_color, extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) else if box_type == -1 and okay_to_draw box.delete( array.get(box_array, array.size(box_array) - 1) ) f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = demand_outline_color, bgcolor = demand_color, extend = extend.right, text = 'DEMAND', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) box.delete( array.get(label_array, array.size(label_array) - 1) ) f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = poi_border_color, bgcolor = poi_border_color, extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) // FUNCTION TO CHANGE SUPPLY/DEMAND TO A BOS IF BROKEN f_sd_to_bos(box_array, bos_array, label_array, zone_type) => if zone_type == 1 for i = 0 to array.size(box_array) - 1 level_to_break = box.get_top(array.get(box_array,i)) // if ta.crossover(close, level_to_break) if close >= level_to_break copied_box = box.copy(array.get(box_array,i)) f_array_add_pop(bos_array, copied_box) mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2 box.set_top(array.get(bos_array,0), mid) box.set_bottom(array.get(bos_array,0), mid) box.set_extend( array.get(bos_array,0), extend.none) box.set_right( array.get(bos_array,0), bar_index) box.set_text( array.get(bos_array,0), 'BOS' ) box.set_text_color( array.get(bos_array,0), bos_label_color) box.set_text_size( array.get(bos_array,0), size.small) box.set_text_halign( array.get(bos_array,0), text.align_center) box.set_text_valign( array.get(bos_array,0), text.align_center) box.delete(array.get(box_array, i)) box.delete(array.get(label_array, i)) if zone_type == -1 for i = 0 to array.size(box_array) - 1 level_to_break = box.get_bottom(array.get(box_array,i)) // if ta.crossunder(close, level_to_break) if close <= level_to_break copied_box = box.copy(array.get(box_array,i)) f_array_add_pop(bos_array, copied_box) mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2 box.set_top(array.get(bos_array,0), mid) box.set_bottom(array.get(bos_array,0), mid) box.set_extend( array.get(bos_array,0), extend.none) box.set_right( array.get(bos_array,0), bar_index) box.set_text( array.get(bos_array,0), 'BOS' ) box.set_text_color( array.get(bos_array,0), bos_label_color) box.set_text_size( array.get(bos_array,0), size.small) box.set_text_halign( array.get(bos_array,0), text.align_center) box.set_text_valign( array.get(bos_array,0), text.align_center) box.delete(array.get(box_array, i)) box.delete(array.get(label_array, i)) // FUNCTION MANAGE CURRENT BOXES BY CHANGING ENDPOINT f_extend_box_endpoint(box_array) => for i = 0 to array.size(box_array) - 1 box.set_right(array.get(box_array, i), bar_index + 100) // stratRes = timeframe.ismonthly ? str.tostring(timeframe.multiplier * intRes, '###M') : timeframe.isweekly ? str.tostring(timeframe.multiplier * intRes, '###W') : timeframe.isdaily ? str.tostring(timeframe.multiplier * intRes, '###D') : timeframe.isintraday ? str.tostring(timeframe.multiplier * intRes, '####') : '60' src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead = barmerge.lookahead_off) : close // CALCULATE ATR atrValue = ta.atr(50) // CALCULATE SWING HIGHS & SWING LOWS swing_high = ta.pivothigh(high, swing_length, swing_length) swing_low = ta.pivotlow(low, swing_length, swing_length) // ARRAYS FOR SWING H/L & BN var swing_high_values = array.new_float(5,0.00) var swing_low_values = array.new_float(5,0.00) var swing_high_bns = array.new_int(5,0) var swing_low_bns = array.new_int(5,0) // ARRAYS FOR SUPPLY / DEMAND var current_supply_box = array.new_box(history_of_demand_to_keep, na) var current_demand_box = array.new_box(history_of_demand_to_keep, na) // ARRAYS FOR SUPPLY / DEMAND POI LABELS var current_supply_poi = array.new_box(history_of_demand_to_keep, na) var current_demand_poi = array.new_box(history_of_demand_to_keep, na) // ARRAYS FOR BOS var supply_bos = array.new_box(5, na) var demand_bos = array.new_box(5, na) //END CALCULATIONS // NEW SWING HIGH if not na(swing_high) //MANAGE SWING HIGH VALUES f_array_add_pop(swing_high_values, swing_high) f_array_add_pop(swing_high_bns, bar_index ) if show_price_action_labels f_sh_sl_labels(swing_high_values, 1) f_supply_demand(swing_high_values, swing_high_bns, current_supply_box, current_supply_poi, 1, atrValue) // NEW SWING LOW else if not na(swing_low) //MANAGE SWING LOW VALUES f_array_add_pop(swing_low_values, swing_low) f_array_add_pop(swing_low_bns, bar_index ) if show_price_action_labels f_sh_sl_labels(swing_low_values, -1) f_supply_demand(swing_low_values, swing_low_bns, current_demand_box, current_demand_poi, -1, atrValue) f_sd_to_bos(current_supply_box, supply_bos, current_supply_poi, 1) f_sd_to_bos(current_demand_box, demand_bos, current_demand_poi, -1) f_extend_box_endpoint(current_supply_box) f_extend_box_endpoint(current_demand_box) channelBal = input.bool(false, "Channel Balance", group = "CHART") lr_slope(_src, _len) => x = 0.0, y = 0.0, x2 = 0.0, xy = 0.0 for i = 0 to _len - 1 val = _src per = i + 1 x += per y += val x2 += per * per xy += val * per _slp = (_len * xy - x * y) / (_len * x2 - x * x) _avg = y / _len _int = _avg - _slp * x / _len + _slp lr_dev(_src, _len, _slp, _avg, _int) => upDev = 0.0, dnDev = 0.0 val = _int for j = 0 to _len - 1 price = high - val if price > upDev upDev := price price := val - low if price > dnDev dnDev := price price := _src val += _slp // = ta.kc(close, 80, 10.5) = ta.kc(close, 80, 9.5) = ta.kc(close, 80, 8) = ta.kc(close, 80, 3) barsL = 10 barsR = 10 pivotHigh = fixnan(ta.pivothigh(barsL, barsR) ) pivotLow = fixnan(ta.pivotlow(barsL, barsR) ) source = close, period = 150 = lr_slope(source, period) = lr_dev(source, period, s, a, i) y1 = low - (ta.atr(30) * 2), y1B = low - ta.atr(30) y2 = high + (ta.atr(30) * 2), y2B = high + ta.atr(30) x1 = bar_index - period + 1, _y1 = i + s * (period - 1), x2 = bar_index, _y2 = i //Functions //Line Style function get_line_style(style) => out = switch style '???' => line.style_solid '----' => line.style_dashed ' ' => line.style_dotted //Function to get order block coordinates get_coordinates(condition, top, btm, ob_val)=> var ob_top = array.new_float(0) var ob_btm = array.new_float(0) var ob_avg = array.new_float(0) var ob_left = array.new_int(0) float ob = na //Append coordinates to arrays if condition avg = math.avg(top, btm) array.unshift(ob_top, top) array.unshift(ob_btm, btm) array.unshift(ob_avg, avg) ob := ob_val //Function to remove mitigated order blocks from coordinate arrays remove_mitigated(ob_top, ob_btm, ob_left, ob_avg, target, bull)=> mitigated = false target_array = bull ? ob_btm : ob_top for element in target_array idx = array.indexof(target_array, element) if (bull ? target < element : target > element) mitigated := true array.remove(ob_top, idx) array.remove(ob_btm, idx) array.remove(ob_avg, idx) array.remove(ob_left, idx) mitigated //Function to set order blocks set_order_blocks(ob_top, ob_btm, ob_left, ob_avg, ext_last, bg_css, border_css, lvl_css)=> var ob_box = array.new_box(0) var ob_lvl = array.new_line(0) //Global elements var os = 0 var target_bull = 0. var target_bear = 0. // Create non-repainting security function rp_security(_symbol, _res, _src) => request.security(_symbol, _res, _src ) htfHigh = rp_security(syminfo.tickerid, res, high) htfLow = rp_security(syminfo.tickerid, res, low) // Main Indicator // Functions smoothrng(x, t, m) => wper = t * 2 - 1 avrng = ta.ema(math.abs(x - x ), t) smoothrng = ta.ema(avrng, wper) * m rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100 securityNoRep(sym, res, src) => request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) swingPoints(prd) => pivHi = ta.pivothigh(prd, prd) pivLo = ta.pivotlow (prd, prd) last_pivHi = ta.valuewhen(pivHi, pivHi, 1) last_pivLo = ta.valuewhen(pivLo, pivLo, 1) hh = pivHi and pivHi > last_pivHi ? pivHi : na lh = pivHi and pivHi < last_pivHi ? pivHi : na hl = pivLo and pivLo > last_pivLo ? pivLo : na ll = pivLo and pivLo < last_pivLo ? pivLo : na f_chartTfInMinutes() => float _resInMinutes = timeframe.multiplier * ( timeframe.isseconds ? 1 : timeframe.isminutes ? 1. : timeframe.isdaily ? 60. * 24 : timeframe.isweekly ? 60. * 24 * 7 : timeframe.ismonthly ? 60. * 24 * 30.4375 : na) f_kc(src, len, sensitivity) => basis = ta.sma(src, len) span = ta.atr(len) wavetrend(src, chlLen, avgLen) => esa = ta.ema(src, chlLen) d = ta.ema(math.abs(src - esa), chlLen) ci = (src - esa) / (0.015 * d) wt1 = ta.ema(ci, avgLen) wt2 = ta.sma(wt1, 3) f_top_fractal(_src) => _src < _src and _src < _src and _src > _src and _src > _src f_bot_fractal(_src) => _src > _src and _src > _src and _src < _src and _src < _src top_fractal = f_top_fractal(src) bot_fractal = f_bot_fractal(src) f_fractalize (_src) => top_fractal ? 1 : bot_fractal ? -1 : 0 f_findDivs(src, topLimit, botLimit) => fractalTop = f_fractalize(src) > 0 and src >= topLimit ? src : na fractalBot = f_fractalize(src) < 0 and src <= botLimit ? src : na highPrev = ta.valuewhen(fractalTop, src , 0) highPrice = ta.valuewhen(fractalTop, high , 0) lowPrev = ta.valuewhen(fractalBot, src , 0) lowPrice = ta.valuewhen(fractalBot, low , 0) bearSignal = fractalTop and high > highPrice and src < highPrev bullSignal = fractalBot and low < lowPrice and src > lowPrev // Get user input enableSR = input(false , "SR On/Off", group="SR") colorSup = input(#00000000 , "Support Color", group="SR") colorRes = input(#00000000 , "Resistance Color", group="SR") strengthSR = input.int(2 , "S/R Strength", 1, group="SR") lineStyle = input.string("Dotted", "Line Style", , group="SR") lineWidth = input.int(2 , "S/R Line Width", 1, group="SR") useZones = input(true , "Zones On/Off", group="SR") useHLZones = input(true , "High Low Zones On/Off", group="SR") zoneWidth = input.int(2 , "Zone Width %", 0, tooltip = "it's calculated using % of the distance between highest/lowest in last 300 bars", group="SR") expandSR = input(true , "Expand SR") // Get components rb = 10 prd = 284 ChannelW = 10 label_loc = 55 style = lineStyle == "Solid" ? line.style_solid : lineStyle == "Dotted" ? line.style_dotted : line.style_dashed ph = ta.pivothigh(rb, rb) pl = ta.pivotlow (rb, rb) sr_levels = array.new_float(21, na) prdhighest = ta.highest(prd) prdlowest = ta.lowest(prd) cwidth = percWidth(prd, ChannelW) zonePerc = percWidth(300, zoneWidth) aas = array.new_bool(41, true) u1 = 0.0, u1 := nz(u1 ) d1 = 0.0, d1 := nz(d1 ) highestph = 0.0, highestph := highestph lowestpl = 0.0, lowestpl := lowestpl var sr_levs = array.new_float(21, na) label hlabel = na, label.delete(hlabel ) label llabel = na, label.delete(llabel ) var sr_lines = array.new_line(21, na) var sr_linesH = array.new_line(21, na) var sr_linesL = array.new_line(21, na) var sr_linesF = array.new_linefill(21, na) var sr_labels = array.new_label(21, na) if (not na(ph) or not na(pl)) for x = 0 to array.size(sr_levels) - 1 array.set(sr_levels, x, na) highestph := prdlowest lowestpl := prdhighest countpp = 0 for x = 0 to prd if na(close ) break if not na(ph ) or not na(pl ) highestph := math.max(highestph, nz(ph , prdlowest), nz(pl , prdlowest)) lowestpl := math.min(lowestpl, nz(ph , prdhighest), nz(pl , prdhighest)) countpp += 1 if countpp > 40 break if array.get(aas, countpp) upl = (not na(ph ) and (ph != 0) ? high : low ) + cwidth dnl = (not na(ph ) and (ph != 0) ? high : low ) - cwidth u1 := countpp == 1 ? upl : u1 d1 := countpp == 1 ? dnl : d1 tmp = array.new_bool(41, true) cnt = 0 tpoint = 0 for xx = 0 to prd if na(close ) break if not na(ph ) or not na(pl ) chg = false cnt += 1 if cnt > 40 break if array.get(aas, cnt) if not na(ph ) if high <= upl and high >= dnl tpoint += 1 chg := true if not na(pl ) if low <= upl and low >= dnl tpoint += 1 chg := true if chg and cnt < 41 array.set(tmp, cnt, false) if tpoint >= strengthSR for g = 0 to 40 by 1 if not array.get(tmp, g) array.set(aas, g, false) if (not na(ph ) and countpp < 21) array.set(sr_levels, countpp, high ) if (not na(pl ) and countpp < 21) array.set(sr_levels, countpp, low ) // Plot var line highest_ = na, line.delete(highest_) var line lowest_ = na, line.delete(lowest_) var line highest_fill1 = na, line.delete(highest_fill1) var line highest_fill2 = na, line.delete(highest_fill2) var line lowest_fill1 = na, line.delete(lowest_fill1) var line lowest_fill2 = na, line.delete(lowest_fill2) hi_col = close >= highestph ? colorSup : colorRes lo_col = close >= lowestpl ? colorSup : colorRes if enableSR highest_ := line.new(bar_index - 311, highestph, bar_index, highestph, xloc.bar_index, expandSR ? extend.both : extend.right, hi_col, style, lineWidth) lowest_ := line.new(bar_index - 311, lowestpl , bar_index, lowestpl , xloc.bar_index, expandSR ? extend.both : extend.right, lo_col, style, lineWidth) if useHLZones highest_fill1 := line.new(bar_index - 311, highestph + zonePerc, bar_index, highestph + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na) highest_fill2 := line.new(bar_index - 311, highestph - zonePerc, bar_index, highestph - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na) lowest_fill1 := line.new(bar_index - 311, lowestpl + zonePerc , bar_index, lowestpl + zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na) lowest_fill2 := line.new(bar_index - 311, lowestpl - zonePerc , bar_index, lowestpl - zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na) linefill.new(highest_fill1, highest_fill2, hi_col) linefill.new(lowest_fill1 , lowest_fill2 , lo_col) if (not na(ph) or not na(pl)) for x = 0 to array.size(sr_lines) - 1 array.set(sr_levs, x, array.get(sr_levels, x)) for x = 0 to array.size(sr_lines) - 1 line.delete(array.get(sr_lines, x)) line.delete(array.get(sr_linesH, x)) line.delete(array.get(sr_linesL, x)) linefill.delete(array.get(sr_linesF, x)) if (not na(array.get(sr_levs, x)) and enableSR) line_col = close >= array.get(sr_levs, x) ? colorSup : colorRes array.set(sr_lines, x, line.new(bar_index - 355, array.get(sr_levs, x), bar_index, array.get(sr_levs, x), xloc.bar_index, expandSR ? extend.both : extend.right, line_col, style, lineWidth)) if useZones array.set(sr_linesH, x, line.new(bar_index - 355, array.get(sr_levs, x) + zonePerc, bar_index, array.get(sr_levs, x) + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)) array.set(sr_linesL, x, line.new(bar_index - 355, array.get(sr_levs, x) - zonePerc, bar_index, array.get(sr_levs, x) - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)) array.set(sr_linesF, x, linefill.new(array.get(sr_linesH, x), array.get(sr_linesL, x), line_col)) for x = 0 to array.size(sr_labels) - 1 label.delete(array.get(sr_labels, x)) if (not na(array.get(sr_levs, x)) and enableSR) lab_loc = close >= array.get(sr_levs, x) ? label.style_label_up : label.style_label_down lab_col = close >= array.get(sr_levs, x) ? colorSup : colorRes array.set(sr_labels, x, label.new(bar_index + label_loc, array.get(sr_levs, x), str.tostring(math.round_to_mintick(array.get(sr_levs, x))), color=lab_col , textcolor=#000000, style=lab_loc)) hlabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, highestph, "High Level : " + str.tostring(highestph), color=hi_col, textcolor=#000000, style=label.style_label_down) : na llabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, lowestpl , "Low Level : " + str.tostring(lowestpl) , color=lo_col, textcolor=#000000, style=label.style_label_up ) : na // Get components rsi = ta.rsi(close, 28) //rsiOb = rsi > 78 and rsi > ta.ema(rsi, 10) //rsiOs = rsi < 27 and rsi < ta.ema(rsi, 10) rsiOb = rsi > 65 and rsi > ta.ema(rsi, 10) rsiOs = rsi < 35 and rsi < ta.ema(rsi, 10) dHigh = securityNoRep(syminfo.tickerid, "D", high ) dLow = securityNoRep(syminfo.tickerid, "D", low ) dClose = securityNoRep(syminfo.tickerid, "D", close ) ema = ta.ema(close, 144) emaBull = close > ema equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() and not timeframe.isseconds higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() or timeframe.isseconds too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10) securityNoRep1(sym, res, src) => bool bull_ = na bull_ := equal_tf(res) ? src : bull_ bull_ := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) : bull_ bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) + (timeframe.isseconds ? "S" : "") : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src) if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res) bull_ := array.pop(bull_array) array.clear(bull_array) bull_ // === BASE FUNCTIONS === // Returns MA input selection variant, default to SMA if blank or typo. variant(type, src, len, offSig, offALMA) => v1 = ta.sma(src, len) // Simple v2 = ta.ema(src, len) // Exponential v3 = 2 * v2 - ta.ema(v2, len) // Double Exponential v4 = 3 * (v2 - ta.ema(v2, len)) + ta.ema(ta.ema(v2, len), len) // Triple Exponential v5 = ta.wma(src, len) // Weighted v6 = ta.vwma(src, len) // Volume Weighted v7 = 0.0 sma_1 = ta.sma(src, len) // Smoothed v7 := na(v7 ) ? sma_1 : (v7 * (len - 1) + src) / len v8 = ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len))) // Hull v9 = ta.linreg(src, len, offSig) // Least Squares v10 = ta.alma(src, len, offALMA, offSig) // Arnaud Legoux v11 = ta.sma(v1, len) // Triangular (extreme smooth) // SuperSmoother filter // 2013 John F. Ehlers a1 = math.exp(-1.414 * 3.14159 / len) b1 = 2 * a1 * math.cos(1.414 * 3.14159 / len) c2 = b1 c3 = -a1 * a1 c1 = 1 - c2 - c3 v12 = 0.0 v12 := c1 * (src + nz(src )) / 2 + c2 * nz(v12 ) + c3 * nz(v12 ) type == 'EMA' ? v2 : type == 'DEMA' ? v3 : type == 'TEMA' ? v4 : type == 'WMA' ? v5 : type == 'VWMA' ? v6 : type == 'SMMA' ? v7 : type == 'HullMA' ? v8 : type == 'LSMA' ? v9 : type == 'ALMA' ? v10 : type == 'TMA' ? v11 : type == 'SSMA' ? v12 : v1 // security wrapper for repeat calls reso(exp, use, res) => security_1 = request.security(syminfo.tickerid, res, exp, gaps = barmerge.gaps_off, lookahead = barmerge.lookahead_on) use ? security_1 : exp // === /BASE FUNCTIONS === // === SERIES SETUP === closeSeries = variant(basisType, close , basisLen, offsetSigma, offsetALMA) openSeries = variant(basisType, open , basisLen, offsetSigma, offsetALMA) // === /SERIES === // Get Alternate resolution Series if selected. closeSeriesAlt = reso(closeSeries, useRes, stratRes) openSeriesAlt = reso(openSeries, useRes, stratRes) // lxTrigger = false sxTrigger = false leTrigger = ta.crossover (closeSeriesAlt, openSeriesAlt) seTrigger = ta.crossunder(closeSeriesAlt, openSeriesAlt) G_RISK = '■ ' + 'Risk Management' //#region ———— <↓↓↓ G_RISK ↓↓↓> { // ——————————— //Tooltip T_LVL = '(%) Exit Level' T_QTY = '(%) Adjust trade exit volume' T_MSG = 'Paste JSON message for your bot' //Webhook Message O_LEMSG = 'Long Entry' O_LXMSGSL = 'Long SL' O_LXMSGTP1 = 'Long TP1' O_LXMSGTP2 = 'Long TP2' O_LXMSGTP3 = 'Long TP3' O_LXMSG = 'Long Exit' O_SEMSG = 'Short Entry' O_SXMSGSL = 'Short SL' O_SXMSGA = 'Short TP1' O_SXMSGB = 'Short TP2' O_SXMSGC = 'Short TP3' O_SXMSGX = 'Short Exit' // ——————————— | | | Line length guide | i_lxLvlTP1 = input.float (0.2, 'Level TP1' , group = G_RISK, tooltip = T_LVL) i_lxQtyTP1 = input.float (80.0, 'Qty TP1' , group = G_RISK, tooltip = T_QTY) i_lxLvlTP2 = input.float (0.5, 'Level TP2' , group = G_RISK, tooltip = T_LVL) i_lxQtyTP2 = input.float (10.0, 'Qty TP2' , group = G_RISK, tooltip = T_QTY) i_lxLvlTP3 = input.float (7.0, 'Level TP3' , group = G_RISK, tooltip = T_LVL) i_lxQtyTP3 = input.float (2, 'Qty TP3' , group = G_RISK, tooltip = T_QTY) i_lxLvlSL = input.float (0.5, 'Stop Loss' , group = G_RISK, tooltip = T_LVL) i_sxLvlTP1 = i_lxLvlTP1 i_sxQtyTP1 = i_lxQtyTP1 i_sxLvlTP2 = i_lxLvlTP2 i_sxQtyTP2 = i_lxQtyTP2 i_sxLvlTP3 = i_lxLvlTP3 i_sxQtyTP3 = i_lxQtyTP3 i_sxLvlSL = i_lxLvlSL G_MSG = '■ ' + 'Webhook Message' i_leMsg = input.string (O_LEMSG ,'Long Entry' , group = G_MSG, tooltip = T_MSG) i_lxMsgSL = input.string (O_LXMSGSL ,'Long SL' , group = G_MSG, tooltip = T_MSG) i_lxMsgTP1 = input.string (O_LXMSGTP1,'Long TP1' , group = G_MSG, tooltip = T_MSG) i_lxMsgTP2 = input.string (O_LXMSGTP2,'Long TP2' , group = G_MSG, tooltip = T_MSG) i_lxMsgTP3 = input.string (O_LXMSGTP3,'Long TP3' , group = G_MSG, tooltip = T_MSG) i_lxMsg = input.string (O_LXMSG ,'Long Exit' , group = G_MSG, tooltip = T_MSG) i_seMsg = input.string (O_SEMSG ,'Short Entry' , group = G_MSG, tooltip = T_MSG) i_sxMsgSL = input.string (O_SXMSGSL ,'Short SL' , group = G_MSG, tooltip = T_MSG) i_sxMsgTP1 = input.string (O_SXMSGA ,'Short TP1' , group = G_MSG, tooltip = T_MSG) i_sxMsgTP2 = input.string (O_SXMSGB ,'Short TP2' , group = G_MSG, tooltip = T_MSG) i_sxMsgTP3 = input.string (O_SXMSGC ,'Short TP3' , group = G_MSG, tooltip = T_MSG) i_sxMsg = input.string (O_SXMSGX ,'Short Exit' , group = G_MSG, tooltip = T_MSG) i_src = close G_DISPLAY = 'Display' // i_alertOn = input.bool (true, 'Alert Labels On/Off' , group = G_DISPLAY) i_barColOn = input.bool (true, 'Bar Color On/Off' , group = G_DISPLAY) // ——————————— // @function Calculate the Take Profit line, and the crossover or crossunder f_tp(_condition, _conditionValue, _leTrigger, _seTrigger, _src, _lxLvlTP, _sxLvlTP)=> var float _tpLine = 0.0 _topLvl = _src + (_src * (_lxLvlTP / 100)) _botLvl = _src - (_src * (_sxLvlTP / 100)) _tpLine := _condition != _conditionValue and _leTrigger ? _topLvl : _condition != -_conditionValue and _seTrigger ? _botLvl : nz(_tpLine ) // @function Similar to "ta.crossover" or "ta.crossunder" f_cross(_scr1, _scr2, _over)=> _cross = _over ? _scr1 > _scr2 and _scr1 < _scr2 : _scr1 < _scr2 and _scr1 > _scr2 // ——————————— // var float condition = 0.0 var float slLine = 0.0 var float entryLine = 0.0 // entryLine := leTrigger and condition <= 0.0 ? close : seTrigger and condition >= 0.0 ? close : nz(entryLine ) // slTopLvl = i_src + (i_src * (i_lxLvlSL / 100)) slBotLvl = i_src - (i_src * (i_sxLvlSL / 100)) slLine := condition <= 0.0 and leTrigger ? slBotLvl : condition >= 0.0 and seTrigger ? slTopLvl : nz(slLine ) slLong = f_cross(low, slLine, false) slShort = f_cross(high, slLine, true ) // = f_tp(condition, 1.2,leTrigger, seTrigger, i_src, i_lxLvlTP3, i_sxLvlTP3) = f_tp(condition, 1.1,leTrigger, seTrigger, i_src, i_lxLvlTP2, i_sxLvlTP2) = f_tp(condition, 1.0,leTrigger, seTrigger, i_src, i_lxLvlTP1, i_sxLvlTP1) tp3Long = f_cross(high, tp3Line, true ) tp3Short = f_cross(low, tp3Line, false) tp2Long = f_cross(high, tp2Line, true ) tp2Short = f_cross(low, tp2Line, false) tp1Long = f_cross(high, tp1Line, true ) tp1Short = f_cross(low, tp1Line, false) switch leTrigger and condition <= 0.0 => condition := 1.0 seTrigger and condition >= 0.0 => condition := -1.0 tp3Long and condition == 1.2 => condition := 1.3 tp3Short and condition == -1.2 => condition := -1.3 tp2Long and condition == 1.1 => condition := 1.2 tp2Short and condition == -1.1 => condition := -1.2 tp1Long and condition == 1.0 => condition := 1.1 tp1Short and condition == -1.0 => condition := -1.1 slLong and condition >= 1.0 => condition := 0.0 slShort and condition <= -1.0 => condition := 0.0 lxTrigger and condition >= 1.0 => condition := 0.0 sxTrigger and condition <= -1.0 => condition := 0.0 longE = leTrigger and condition <= 0.0 and condition == 1.0 shortE = seTrigger and condition >= 0.0 and condition == -1.0 longX = lxTrigger and condition >= 1.0 and condition == 0.0 shortX = sxTrigger and condition <= -1.0 and condition == 0.0 longSL = slLong and condition >= 1.0 and condition == 0.0 shortSL = slShort and condition <= -1.0 and condition == 0.0 longTP3 = tp3Long and condition == 1.2 and condition == 1.3 shortTP3 = tp3Short and condition == -1.2 and condition == -1.3 longTP2 = tp2Long and condition == 1.1 and condition == 1.2 shortTP2 = tp2Short and condition == -1.1 and condition == -1.2 longTP1 = tp1Long and condition == 1.0 and condition == 1.1 shortTP1 = tp1Short and condition == -1.0 and condition == -1.1 // ——————————— { // if strategy.position_size <= 0 and longE and barstate.isconfirmed strategy.entry( 'Long', strategy.long, alert_message = i_leMsg, comment = 'LE') if strategy.position_size > 0 and condition == 1.0 strategy.exit( id = 'LXTP1', from_entry = 'Long', qty_percent = i_lxQtyTP1, limit = tp1Line, stop = slLine, comment_profit = 'LXTP1', comment_loss = 'SL', alert_profit = i_lxMsgTP1, alert_loss = i_lxMsgSL) if strategy.position_size > 0 and condition == 1.1 strategy.exit( id = 'LXTP2', from_entry = 'Long', qty_percent = i_lxQtyTP2, limit = tp2Line, stop = slLine, comment_profit = 'LXTP2', comment_loss = 'SL', alert_profit = i_lxMsgTP2, alert_loss = i_lxMsgSL) if strategy.position_size > 0 and condition == 1.2 strategy.exit( id = 'LXTP3', from_entry = 'Long', qty_percent = i_lxQtyTP3, limit = tp3Line, stop = slLine, comment_profit = 'LXTP3', comment_loss = 'SL', alert_profit = i_lxMsgTP3, alert_loss = i_lxMsgSL) if longX strategy.close( 'Long', alert_message = i_lxMsg, comment = 'LX') // if strategy.position_size >= 0 and shortE and barstate.isconfirmed strategy.entry( 'Short', strategy.short, alert_message = i_leMsg, comment = 'SE') if strategy.position_size < 0 and condition == -1.0 strategy.exit( id = 'SXTP1', from_entry = 'Short', qty_percent = i_sxQtyTP1, limit = tp1Line, stop = slLine, comment_profit = 'SXTP1', comment_loss = 'SL', alert_profit = i_sxMsgTP1, alert_loss = i_sxMsgSL) if strategy.position_size < 0 and condition == -1.1 strategy.exit( id = 'SXTP2', from_entry = 'Short', qty_percent = i_sxQtyTP2, limit = tp2Line, stop = slLine, comment_profit = 'SXTP2', comment_loss = 'SL', alert_profit = i_sxMsgTP2, alert_loss = i_sxMsgSL) if strategy.position_size < 0 and condition == -1.2 strategy.exit( id = 'SXTP3', from_entry = 'Short', qty_percent = i_sxQtyTP3, limit = tp3Line, stop = slLine, comment_profit = 'SXTP3', comment_loss = 'SL', alert_profit = i_sxMsgTP3, alert_loss = i_sxMsgSL) if shortX strategy.close( 'Short', alert_message = i_sxMsg, comment = 'SX') // ——————————— c_tp = leTrigger or seTrigger ? na : condition == 0.0 ? na : color.green c_entry = leTrigger or seTrigger ? na : condition == 0.0 ? na : color.blue c_sl = leTrigger or seTrigger ? na : condition == 0.0 ? na : color.red p_tp1Line = plot ( condition == 1.0 or condition == -1.0 ? tp1Line : na, title = "TP Line 1", color = c_tp, linewidth = 1, style = plot.style_linebr) p_tp2Line = plot ( condition == 1.0 or condition == -1.0 or condition == 1.1 or condition == -1.1 ? tp2Line : na, title = "TP Line 2", color = c_tp, linewidth = 1, style = plot.style_linebr) p_tp3Line = plot ( condition == 1.0 or condition == -1.0 or condition == 1.1 or condition == -1.1 or condition == 1.2 or condition == -1.2 ? tp3Line : na, title = "TP Line 3", color = c_tp, linewidth = 1, style = plot.style_linebr) p_entryLine = plot ( condition >= 1.0 or condition <= -1.0 ? entryLine : na, title = "Entry Line", color = c_entry, linewidth = 1, style = plot.style_linebr) p_slLine = plot ( condition == 1.0 or condition == -1.0 or condition == 1.1 or condition == -1.1 or condition == 1.2 or condition == -1.2 ? slLine : na, title = "SL Line", color = c_sl, linewidth = 1, style = plot.style_linebr) fill( p_tp3Line, p_entryLine, color = leTrigger or seTrigger ? na :color.new(color.green, 90)) fill( p_entryLine, p_slLine, color = leTrigger or seTrigger ? na :color.new(color.red, 90)) // plotshape( i_alertOn and longE, title = 'Long', text = 'Long', textcolor = color.white, color = color.green, style = shape.labelup, size = size.tiny, location = location.belowbar) plotshape( i_alertOn and shortE, title = 'Short', text = 'Short', textcolor = color.white, color = color.red, style = shape.labeldown, size = size.tiny, location = location.abovebar) plotshape( i_alertOn and (longX or shortX) ? close : na, title = 'Close', text = 'Close', textcolor = color.white, color = color.gray, style = shape.labelup, size = size.tiny, location = location.absolute) l_tp = i_alertOn and (longTP1 or shortTP1) ? close : na plotshape( l_tp, title = "TP1 Cross", text = "TP1", textcolor = color.white, color = color.olive, style = shape.labelup, size = size.tiny, location = location.absolute) plotshape( i_alertOn and (longTP2 or shortTP2) ? close : na, title = "TP2 Cross", text = "TP2", textcolor = color.white, color = color.olive, style = shape.labelup, size = size.tiny, location = location.absolute) plotshape( i_alertOn and (longTP3 or shortTP3) ? close : na, title = "TP3 Cross", text = "TP3", textcolor = color.white, color = color.olive, style = shape.labelup, size = size.tiny, location = location.absolute) plotshape( i_alertOn and (longSL or shortSL) ? close : na, title = "SL Cross", text = "SL", textcolor = color.white, color = color.maroon, style = shape.labelup, size = size.tiny, location = location.absolute) // plot( na, title = "─── ───", editable = false, display = display.data_window) plot( condition, title = "condition", editable = false, display = display.data_window) plot( strategy.position_size * 100, title = ".position_size", editable = false, display = display.data_window) //#endregion } // ——————————— <↑↑↑ G_RISK ↑↑↑> //#region ———— <↓↓↓ G_SCRIPT02 ↓↓↓> { // @function Queues a new element in an array and de-queues its first element. f_qDq(_array, _val) => array.push(_array, _val) _return = array.shift(_array) _return var line a_slLine = array.new_line(1) var line a_entryLine = array.new_line(1) var line a_tp3Line = array.new_line(1) var line a_tp2Line = array.new_line(1) var line a_tp1Line = array.new_line(1) var label a_slLabel = array.new_label(1) var label a_tp3label = array.new_label(1) var label a_tp2label = array.new_label(1) var label a_tp1label = array.new_label(1) var label a_entryLabel = array.new_label(1) newEntry = longE or shortE entryIndex = 1 entryIndex := newEntry ? bar_index : nz(entryIndex ) lasTrade = bar_index >= entryIndex l_right = 10 line.delete( f_qDq(a_slLine, line.new( entryIndex, slLine, last_bar_index + l_right, slLine, style = line.style_solid, color = c_sl))) line.delete( f_qDq(a_entryLine, line.new( entryIndex, entryLine, last_bar_index + l_right, entryLine, style = line.style_solid, color = color.blue))) line.delete( f_qDq(a_tp3Line, line.new( entryIndex, tp3Line, last_bar_index + l_right, tp3Line, style = line.style_solid, color = c_tp))) line.delete( f_qDq(a_tp2Line, line.new( entryIndex, tp2Line, last_bar_index + l_right, tp2Line, style = line.style_solid, color = c_tp))) line.delete( f_qDq(a_tp1Line, line.new( entryIndex, tp1Line, last_bar_index + l_right, tp1Line, style = line.style_solid, color = c_tp))) label.delete( f_qDq(a_slLabel, label.new( last_bar_index + l_right, slLine, 'SL: ' + str.tostring(slLine, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_sl))) label.delete( f_qDq(a_entryLabel, label.new( last_bar_index + l_right, entryLine, 'Entry: ' + str.tostring(entryLine, '##.###'), style = label.style_label_left, textcolor = color.white, color = color.blue))) label.delete( f_qDq(a_tp3label, label.new( last_bar_index + l_right, tp3Line, 'TP3: ' + str.tostring(tp3Line, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_tp))) label.delete( f_qDq(a_tp2label, label.new( last_bar_index + l_right, tp2Line, 'TP2: ' + str.tostring(tp2Line, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_tp))) label.delete( f_qDq(a_tp1label, label.new( last_bar_index + l_right, tp1Line, 'TP1: ' + str.tostring(tp1Line, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_tp))) // ——————————— // if longE or shortE or longX or shortX alert(message = 'Any Alert', freq = alert.freq_once_per_bar_close) if longE alert(message = 'Long Entry', freq = alert.freq_once_per_bar_close) if shortE alert(message = 'Short Entry', freq = alert.freq_once_per_bar_close) if longX alert(message = 'Long Exit', freq = alert.freq_once_per_bar_close) if shortX alert(message = 'Short Exit', freq = alert.freq_once_per_bar_close) //#endregion } // ——————————— <↑↑↑ G_SCRIPT03 ↑↑↑>
אינדיקטור Pine Script®
מאת ‎zh_nnurmuhanov‎
Мой скрипт// © Buzzara // ================================= // PLEASE SUPPORT THE TEAM // ================================= // // Telegram: t.me a_trade// ================================= //@version=5 VERSION = ' Buzzara2.0' strategy('ALGOX V6_1_24', shorttitle = '🚀〄 Buzzara2.0 〄🚀'+ VERSION, overlay = true, explicit_plot_zorder = true, pyramiding = 0, default_qty_type = strategy.percent_of_equity, initial_capital = 1000, default_qty_value = 1, calc_on_every_tick = false, process_orders_on_close = true) G_SCRIPT01 = '■ ' + 'SAIYAN OCC' //#region ———— <↓↓↓ G_SCRIPT01 ↓↓↓> { // === INPUTS === res = input.timeframe('15', 'TIMEFRAME', group ="NON REPAINT") useRes = input(true, 'Use Alternate Signals') intRes = input(10, 'Multiplier for Alernate Signals') basisType = input.string('ALMA', 'MA Type: ', options= ) basisLen = input.int(50, 'MA Period', minval=1) offsetSigma = input.int(5, 'Offset for LSMA / Sigma for ALMA', minval=0) offsetALMA = input.float(2, 'Offset for ALMA', minval=0, step=0.01) scolor = input(false, 'Show coloured Bars to indicate Trend?') delayOffset = input.int(0, 'Delay Open/Close MA', minval=0, step=1, tooltip = 'Forces Non-Repainting') tradeType = input.string('BOTH', 'What trades should be taken : ', options = ) //=== /INPUTS === h = input(false, 'Signals for Heikin Ashi Candles') //INDICATOR SETTINGS swing_length = input.int(10, 'Swing High/Low Length', group = 'Settings', minval = 1, maxval = 50) history_of_demand_to_keep = input.int(20, 'History To Keep', minval = 5, maxval = 50) box_width = input.float(2.5, 'Supply/Demand Box Width', group = 'Settings', minval = 1, maxval = 10, step = 0.5) //INDICATOR VISUAL SETTINGS show_zigzag = input.bool(false, 'Show Zig Zag', group = 'Visual Settings', inline = '1') show_price_action_labels = input.bool(false, 'Show Price Action Labels', group = 'Visual Settings', inline = '2') supply_color = input.color(#00000000, 'Supply', group = 'Visual Settings', inline = '3') supply_outline_color = input.color(#00000000, 'Outline', group = 'Visual Settings', inline = '3') demand_color = input.color(#00000000, 'Demand', group = 'Visual Settings', inline = '4') demand_outline_color = input.color(#00000000, 'Outline', group = 'Visual Settings', inline = '4') bos_label_color = input.color(#00000000, 'BOS Label', group = 'Visual Settings', inline = '5') poi_label_color = input.color(#00000000, 'POI Label', group = 'Visual Settings', inline = '7') poi_border_color = input.color(#00000000, 'POI border', group = 'Visual Settings', inline = '7') swing_type_color = input.color(#00000000, 'Price Action Label', group = 'Visual Settings', inline = '8') zigzag_color = input.color(#00000000, 'Zig Zag', group = 'Visual Settings', inline = '9') //END SETTINGS // FUNCTION TO ADD NEW AND REMOVE LAST IN ARRAY f_array_add_pop(array, new_value_to_add) => array.unshift(array, new_value_to_add) array.pop(array) // FUNCTION SWING H & L LABELS f_sh_sl_labels(array, swing_type) => var string label_text = na if swing_type == 1 if array.get(array, 0) >= array.get(array, 1) label_text := 'HH' else label_text := 'LH' label.new( bar_index - swing_length, array.get(array,0), text = label_text, style = label.style_label_down, textcolor = swing_type_color, color = swing_type_color, size = size.tiny) else if swing_type == -1 if array.get(array, 0) >= array.get(array, 1) label_text := 'HL' else label_text := 'LL' label.new( bar_index - swing_length, array.get(array,0), text = label_text, style = label.style_label_up, textcolor = swing_type_color, color = swing_type_color, size = size.tiny) // FUNCTION MAKE SURE SUPPLY ISNT OVERLAPPING f_check_overlapping(new_poi, box_array, atrValue) => atr_threshold = atrValue * 2 okay_to_draw = true for i = 0 to array.size(box_array) - 1 top = box.get_top(array.get(box_array, i)) bottom = box.get_bottom(array.get(box_array, i)) poi = (top + bottom) / 2 upper_boundary = poi + atr_threshold lower_boundary = poi - atr_threshold if new_poi >= lower_boundary and new_poi <= upper_boundary okay_to_draw := false break else okay_to_draw := true okay_to_draw // FUNCTION TO DRAW SUPPLY OR DEMAND ZONE f_supply_demand(value_array, bn_array, box_array, label_array, box_type, atrValue) => atr_buffer = atrValue * (box_width / 10) box_left = array.get(bn_array, 0) box_right = bar_index var float box_top = 0.00 var float box_bottom = 0.00 var float poi = 0.00 if box_type == 1 box_top := array.get(value_array, 0) box_bottom := box_top - atr_buffer poi := (box_top + box_bottom) / 2 else if box_type == -1 box_bottom := array.get(value_array, 0) box_top := box_bottom + atr_buffer poi := (box_top + box_bottom) / 2 okay_to_draw = f_check_overlapping(poi, box_array, atrValue) // okay_to_draw = true //delete oldest box, and then create a new box and add it to the array if box_type == 1 and okay_to_draw box.delete( array.get(box_array, array.size(box_array) - 1) ) f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = supply_outline_color, bgcolor = supply_color, extend = extend.right, text = 'SUPPLY', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) box.delete( array.get(label_array, array.size(label_array) - 1) ) f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = poi_border_color, bgcolor = poi_border_color, extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) else if box_type == -1 and okay_to_draw box.delete( array.get(box_array, array.size(box_array) - 1) ) f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = demand_outline_color, bgcolor = demand_color, extend = extend.right, text = 'DEMAND', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) box.delete( array.get(label_array, array.size(label_array) - 1) ) f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = poi_border_color, bgcolor = poi_border_color, extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) // FUNCTION TO CHANGE SUPPLY/DEMAND TO A BOS IF BROKEN f_sd_to_bos(box_array, bos_array, label_array, zone_type) => if zone_type == 1 for i = 0 to array.size(box_array) - 1 level_to_break = box.get_top(array.get(box_array,i)) // if ta.crossover(close, level_to_break) if close >= level_to_break copied_box = box.copy(array.get(box_array,i)) f_array_add_pop(bos_array, copied_box) mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2 box.set_top(array.get(bos_array,0), mid) box.set_bottom(array.get(bos_array,0), mid) box.set_extend( array.get(bos_array,0), extend.none) box.set_right( array.get(bos_array,0), bar_index) box.set_text( array.get(bos_array,0), 'BOS' ) box.set_text_color( array.get(bos_array,0), bos_label_color) box.set_text_size( array.get(bos_array,0), size.small) box.set_text_halign( array.get(bos_array,0), text.align_center) box.set_text_valign( array.get(bos_array,0), text.align_center) box.delete(array.get(box_array, i)) box.delete(array.get(label_array, i)) if zone_type == -1 for i = 0 to array.size(box_array) - 1 level_to_break = box.get_bottom(array.get(box_array,i)) // if ta.crossunder(close, level_to_break) if close <= level_to_break copied_box = box.copy(array.get(box_array,i)) f_array_add_pop(bos_array, copied_box) mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2 box.set_top(array.get(bos_array,0), mid) box.set_bottom(array.get(bos_array,0), mid) box.set_extend( array.get(bos_array,0), extend.none) box.set_right( array.get(bos_array,0), bar_index) box.set_text( array.get(bos_array,0), 'BOS' ) box.set_text_color( array.get(bos_array,0), bos_label_color) box.set_text_size( array.get(bos_array,0), size.small) box.set_text_halign( array.get(bos_array,0), text.align_center) box.set_text_valign( array.get(bos_array,0), text.align_center) box.delete(array.get(box_array, i)) box.delete(array.get(label_array, i)) // FUNCTION MANAGE CURRENT BOXES BY CHANGING ENDPOINT f_extend_box_endpoint(box_array) => for i = 0 to array.size(box_array) - 1 box.set_right(array.get(box_array, i), bar_index + 100) // stratRes = timeframe.ismonthly ? str.tostring(timeframe.multiplier * intRes, '###M') : timeframe.isweekly ? str.tostring(timeframe.multiplier * intRes, '###W') : timeframe.isdaily ? str.tostring(timeframe.multiplier * intRes, '###D') : timeframe.isintraday ? str.tostring(timeframe.multiplier * intRes, '####') : '60' src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead = barmerge.lookahead_off) : close // CALCULATE ATR atrValue = ta.atr(50) // CALCULATE SWING HIGHS & SWING LOWS swing_high = ta.pivothigh(high, swing_length, swing_length) swing_low = ta.pivotlow(low, swing_length, swing_length) // ARRAYS FOR SWING H/L & BN var swing_high_values = array.new_float(5,0.00) var swing_low_values = array.new_float(5,0.00) var swing_high_bns = array.new_int(5,0) var swing_low_bns = array.new_int(5,0) // ARRAYS FOR SUPPLY / DEMAND var current_supply_box = array.new_box(history_of_demand_to_keep, na) var current_demand_box = array.new_box(history_of_demand_to_keep, na) // ARRAYS FOR SUPPLY / DEMAND POI LABELS var current_supply_poi = array.new_box(history_of_demand_to_keep, na) var current_demand_poi = array.new_box(history_of_demand_to_keep, na) // ARRAYS FOR BOS var supply_bos = array.new_box(5, na) var demand_bos = array.new_box(5, na) //END CALCULATIONS // NEW SWING HIGH if not na(swing_high) //MANAGE SWING HIGH VALUES f_array_add_pop(swing_high_values, swing_high) f_array_add_pop(swing_high_bns, bar_index ) if show_price_action_labels f_sh_sl_labels(swing_high_values, 1) f_supply_demand(swing_high_values, swing_high_bns, current_supply_box, current_supply_poi, 1, atrValue) // NEW SWING LOW else if not na(swing_low) //MANAGE SWING LOW VALUES f_array_add_pop(swing_low_values, swing_low) f_array_add_pop(swing_low_bns, bar_index ) if show_price_action_labels f_sh_sl_labels(swing_low_values, -1) f_supply_demand(swing_low_values, swing_low_bns, current_demand_box, current_demand_poi, -1, atrValue) f_sd_to_bos(current_supply_box, supply_bos, current_supply_poi, 1) f_sd_to_bos(current_demand_box, demand_bos, current_demand_poi, -1) f_extend_box_endpoint(current_supply_box) f_extend_box_endpoint(current_demand_box) channelBal = input.bool(false, "Channel Balance", group = "CHART") lr_slope(_src, _len) => x = 0.0, y = 0.0, x2 = 0.0, xy = 0.0 for i = 0 to _len - 1 val = _src per = i + 1 x += per y += val x2 += per * per xy += val * per _slp = (_len * xy - x * y) / (_len * x2 - x * x) _avg = y / _len _int = _avg - _slp * x / _len + _slp lr_dev(_src, _len, _slp, _avg, _int) => upDev = 0.0, dnDev = 0.0 val = _int for j = 0 to _len - 1 price = high - val if price > upDev upDev := price price := val - low if price > dnDev dnDev := price price := _src val += _slp // = ta.kc(close, 80, 10.5) = ta.kc(close, 80, 9.5) = ta.kc(close, 80, 8) = ta.kc(close, 80, 3) barsL = 10 barsR = 10 pivotHigh = fixnan(ta.pivothigh(barsL, barsR) ) pivotLow = fixnan(ta.pivotlow(barsL, barsR) ) source = close, period = 150 = lr_slope(source, period) = lr_dev(source, period, s, a, i) y1 = low - (ta.atr(30) * 2), y1B = low - ta.atr(30) y2 = high + (ta.atr(30) * 2), y2B = high + ta.atr(30) x1 = bar_index - period + 1, _y1 = i + s * (period - 1), x2 = bar_index, _y2 = i //Functions //Line Style function get_line_style(style) => out = switch style '???' => line.style_solid '----' => line.style_dashed ' ' => line.style_dotted //Function to get order block coordinates get_coordinates(condition, top, btm, ob_val)=> var ob_top = array.new_float(0) var ob_btm = array.new_float(0) var ob_avg = array.new_float(0) var ob_left = array.new_int(0) float ob = na //Append coordinates to arrays if condition avg = math.avg(top, btm) array.unshift(ob_top, top) array.unshift(ob_btm, btm) array.unshift(ob_avg, avg) ob := ob_val //Function to remove mitigated order blocks from coordinate arrays remove_mitigated(ob_top, ob_btm, ob_left, ob_avg, target, bull)=> mitigated = false target_array = bull ? ob_btm : ob_top for element in target_array idx = array.indexof(target_array, element) if (bull ? target < element : target > element) mitigated := true array.remove(ob_top, idx) array.remove(ob_btm, idx) array.remove(ob_avg, idx) array.remove(ob_left, idx) mitigated //Function to set order blocks set_order_blocks(ob_top, ob_btm, ob_left, ob_avg, ext_last, bg_css, border_css, lvl_css)=> var ob_box = array.new_box(0) var ob_lvl = array.new_line(0) //Global elements var os = 0 var target_bull = 0. var target_bear = 0. // Create non-repainting security function rp_security(_symbol, _res, _src) => request.security(_symbol, _res, _src ) htfHigh = rp_security(syminfo.tickerid, res, high) htfLow = rp_security(syminfo.tickerid, res, low) // Main Indicator // Functions smoothrng(x, t, m) => wper = t * 2 - 1 avrng = ta.ema(math.abs(x - x ), t) smoothrng = ta.ema(avrng, wper) * m rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100 securityNoRep(sym, res, src) => request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) swingPoints(prd) => pivHi = ta.pivothigh(prd, prd) pivLo = ta.pivotlow (prd, prd) last_pivHi = ta.valuewhen(pivHi, pivHi, 1) last_pivLo = ta.valuewhen(pivLo, pivLo, 1) hh = pivHi and pivHi > last_pivHi ? pivHi : na lh = pivHi and pivHi < last_pivHi ? pivHi : na hl = pivLo and pivLo > last_pivLo ? pivLo : na ll = pivLo and pivLo < last_pivLo ? pivLo : na f_chartTfInMinutes() => float _resInMinutes = timeframe.multiplier * ( timeframe.isseconds ? 1 : timeframe.isminutes ? 1. : timeframe.isdaily ? 60. * 24 : timeframe.isweekly ? 60. * 24 * 7 : timeframe.ismonthly ? 60. * 24 * 30.4375 : na) f_kc(src, len, sensitivity) => basis = ta.sma(src, len) span = ta.atr(len) wavetrend(src, chlLen, avgLen) => esa = ta.ema(src, chlLen) d = ta.ema(math.abs(src - esa), chlLen) ci = (src - esa) / (0.015 * d) wt1 = ta.ema(ci, avgLen) wt2 = ta.sma(wt1, 3) f_top_fractal(_src) => _src < _src and _src < _src and _src > _src and _src > _src f_bot_fractal(_src) => _src > _src and _src > _src and _src < _src and _src < _src top_fractal = f_top_fractal(src) bot_fractal = f_bot_fractal(src) f_fractalize (_src) => top_fractal ? 1 : bot_fractal ? -1 : 0 f_findDivs(src, topLimit, botLimit) => fractalTop = f_fractalize(src) > 0 and src >= topLimit ? src : na fractalBot = f_fractalize(src) < 0 and src <= botLimit ? src : na highPrev = ta.valuewhen(fractalTop, src , 0) highPrice = ta.valuewhen(fractalTop, high , 0) lowPrev = ta.valuewhen(fractalBot, src , 0) lowPrice = ta.valuewhen(fractalBot, low , 0) bearSignal = fractalTop and high > highPrice and src < highPrev bullSignal = fractalBot and low < lowPrice and src > lowPrev // Get user input enableSR = input(false , "SR On/Off", group="SR") colorSup = input(#00000000 , "Support Color", group="SR") colorRes = input(#00000000 , "Resistance Color", group="SR") strengthSR = input.int(2 , "S/R Strength", 1, group="SR") lineStyle = input.string("Dotted", "Line Style", , group="SR") lineWidth = input.int(2 , "S/R Line Width", 1, group="SR") useZones = input(true , "Zones On/Off", group="SR") useHLZones = input(true , "High Low Zones On/Off", group="SR") zoneWidth = input.int(2 , "Zone Width %", 0, tooltip = "it's calculated using % of the distance between highest/lowest in last 300 bars", group="SR") expandSR = input(true , "Expand SR") // Get components rb = 10 prd = 284 ChannelW = 10 label_loc = 55 style = lineStyle == "Solid" ? line.style_solid : lineStyle == "Dotted" ? line.style_dotted : line.style_dashed ph = ta.pivothigh(rb, rb) pl = ta.pivotlow (rb, rb) sr_levels = array.new_float(21, na) prdhighest = ta.highest(prd) prdlowest = ta.lowest(prd) cwidth = percWidth(prd, ChannelW) zonePerc = percWidth(300, zoneWidth) aas = array.new_bool(41, true) u1 = 0.0, u1 := nz(u1 ) d1 = 0.0, d1 := nz(d1 ) highestph = 0.0, highestph := highestph lowestpl = 0.0, lowestpl := lowestpl var sr_levs = array.new_float(21, na) label hlabel = na, label.delete(hlabel ) label llabel = na, label.delete(llabel ) var sr_lines = array.new_line(21, na) var sr_linesH = array.new_line(21, na) var sr_linesL = array.new_line(21, na) var sr_linesF = array.new_linefill(21, na) var sr_labels = array.new_label(21, na) if (not na(ph) or not na(pl)) for x = 0 to array.size(sr_levels) - 1 array.set(sr_levels, x, na) highestph := prdlowest lowestpl := prdhighest countpp = 0 for x = 0 to prd if na(close ) break if not na(ph ) or not na(pl ) highestph := math.max(highestph, nz(ph , prdlowest), nz(pl , prdlowest)) lowestpl := math.min(lowestpl, nz(ph , prdhighest), nz(pl , prdhighest)) countpp += 1 if countpp > 40 break if array.get(aas, countpp) upl = (not na(ph ) and (ph != 0) ? high : low ) + cwidth dnl = (not na(ph ) and (ph != 0) ? high : low ) - cwidth u1 := countpp == 1 ? upl : u1 d1 := countpp == 1 ? dnl : d1 tmp = array.new_bool(41, true) cnt = 0 tpoint = 0 for xx = 0 to prd if na(close ) break if not na(ph ) or not na(pl ) chg = false cnt += 1 if cnt > 40 break if array.get(aas, cnt) if not na(ph ) if high <= upl and high >= dnl tpoint += 1 chg := true if not na(pl ) if low <= upl and low >= dnl tpoint += 1 chg := true if chg and cnt < 41 array.set(tmp, cnt, false) if tpoint >= strengthSR for g = 0 to 40 by 1 if not array.get(tmp, g) array.set(aas, g, false) if (not na(ph ) and countpp < 21) array.set(sr_levels, countpp, high ) if (not na(pl ) and countpp < 21) array.set(sr_levels, countpp, low ) // Plot var line highest_ = na, line.delete(highest_) var line lowest_ = na, line.delete(lowest_) var line highest_fill1 = na, line.delete(highest_fill1) var line highest_fill2 = na, line.delete(highest_fill2) var line lowest_fill1 = na, line.delete(lowest_fill1) var line lowest_fill2 = na, line.delete(lowest_fill2) hi_col = close >= highestph ? colorSup : colorRes lo_col = close >= lowestpl ? colorSup : colorRes if enableSR highest_ := line.new(bar_index - 311, highestph, bar_index, highestph, xloc.bar_index, expandSR ? extend.both : extend.right, hi_col, style, lineWidth) lowest_ := line.new(bar_index - 311, lowestpl , bar_index, lowestpl , xloc.bar_index, expandSR ? extend.both : extend.right, lo_col, style, lineWidth) if useHLZones highest_fill1 := line.new(bar_index - 311, highestph + zonePerc, bar_index, highestph + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na) highest_fill2 := line.new(bar_index - 311, highestph - zonePerc, bar_index, highestph - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na) lowest_fill1 := line.new(bar_index - 311, lowestpl + zonePerc , bar_index, lowestpl + zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na) lowest_fill2 := line.new(bar_index - 311, lowestpl - zonePerc , bar_index, lowestpl - zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na) linefill.new(highest_fill1, highest_fill2, hi_col) linefill.new(lowest_fill1 , lowest_fill2 , lo_col) if (not na(ph) or not na(pl)) for x = 0 to array.size(sr_lines) - 1 array.set(sr_levs, x, array.get(sr_levels, x)) for x = 0 to array.size(sr_lines) - 1 line.delete(array.get(sr_lines, x)) line.delete(array.get(sr_linesH, x)) line.delete(array.get(sr_linesL, x)) linefill.delete(array.get(sr_linesF, x)) if (not na(array.get(sr_levs, x)) and enableSR) line_col = close >= array.get(sr_levs, x) ? colorSup : colorRes array.set(sr_lines, x, line.new(bar_index - 355, array.get(sr_levs, x), bar_index, array.get(sr_levs, x), xloc.bar_index, expandSR ? extend.both : extend.right, line_col, style, lineWidth)) if useZones array.set(sr_linesH, x, line.new(bar_index - 355, array.get(sr_levs, x) + zonePerc, bar_index, array.get(sr_levs, x) + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)) array.set(sr_linesL, x, line.new(bar_index - 355, array.get(sr_levs, x) - zonePerc, bar_index, array.get(sr_levs, x) - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)) array.set(sr_linesF, x, linefill.new(array.get(sr_linesH, x), array.get(sr_linesL, x), line_col)) for x = 0 to array.size(sr_labels) - 1 label.delete(array.get(sr_labels, x)) if (not na(array.get(sr_levs, x)) and enableSR) lab_loc = close >= array.get(sr_levs, x) ? label.style_label_up : label.style_label_down lab_col = close >= array.get(sr_levs, x) ? colorSup : colorRes array.set(sr_labels, x, label.new(bar_index + label_loc, array.get(sr_levs, x), str.tostring(math.round_to_mintick(array.get(sr_levs, x))), color=lab_col , textcolor=#000000, style=lab_loc)) hlabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, highestph, "High Level : " + str.tostring(highestph), color=hi_col, textcolor=#000000, style=label.style_label_down) : na llabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, lowestpl , "Low Level : " + str.tostring(lowestpl) , color=lo_col, textcolor=#000000, style=label.style_label_up ) : na // Get components rsi = ta.rsi(close, 28) //rsiOb = rsi > 78 and rsi > ta.ema(rsi, 10) //rsiOs = rsi < 27 and rsi < ta.ema(rsi, 10) rsiOb = rsi > 65 and rsi > ta.ema(rsi, 10) rsiOs = rsi < 35 and rsi < ta.ema(rsi, 10) dHigh = securityNoRep(syminfo.tickerid, "D", high ) dLow = securityNoRep(syminfo.tickerid, "D", low ) dClose = securityNoRep(syminfo.tickerid, "D", close ) ema = ta.ema(close, 144) emaBull = close > ema equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() and not timeframe.isseconds higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() or timeframe.isseconds too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10) securityNoRep1(sym, res, src) => bool bull_ = na bull_ := equal_tf(res) ? src : bull_ bull_ := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) : bull_ bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) + (timeframe.isseconds ? "S" : "") : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src) if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res) bull_ := array.pop(bull_array) array.clear(bull_array) bull_ // === BASE FUNCTIONS === // Returns MA input selection variant, default to SMA if blank or typo. variant(type, src, len, offSig, offALMA) => v1 = ta.sma(src, len) // Simple v2 = ta.ema(src, len) // Exponential v3 = 2 * v2 - ta.ema(v2, len) // Double Exponential v4 = 3 * (v2 - ta.ema(v2, len)) + ta.ema(ta.ema(v2, len), len) // Triple Exponential v5 = ta.wma(src, len) // Weighted v6 = ta.vwma(src, len) // Volume Weighted v7 = 0.0 sma_1 = ta.sma(src, len) // Smoothed v7 := na(v7 ) ? sma_1 : (v7 * (len - 1) + src) / len v8 = ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len))) // Hull v9 = ta.linreg(src, len, offSig) // Least Squares v10 = ta.alma(src, len, offALMA, offSig) // Arnaud Legoux v11 = ta.sma(v1, len) // Triangular (extreme smooth) // SuperSmoother filter // 2013 John F. Ehlers a1 = math.exp(-1.414 * 3.14159 / len) b1 = 2 * a1 * math.cos(1.414 * 3.14159 / len) c2 = b1 c3 = -a1 * a1 c1 = 1 - c2 - c3 v12 = 0.0 v12 := c1 * (src + nz(src )) / 2 + c2 * nz(v12 ) + c3 * nz(v12 ) type == 'EMA' ? v2 : type == 'DEMA' ? v3 : type == 'TEMA' ? v4 : type == 'WMA' ? v5 : type == 'VWMA' ? v6 : type == 'SMMA' ? v7 : type == 'HullMA' ? v8 : type == 'LSMA' ? v9 : type == 'ALMA' ? v10 : type == 'TMA' ? v11 : type == 'SSMA' ? v12 : v1 // security wrapper for repeat calls reso(exp, use, res) => security_1 = request.security(syminfo.tickerid, res, exp, gaps = barmerge.gaps_off, lookahead = barmerge.lookahead_on) use ? security_1 : exp // === /BASE FUNCTIONS === // === SERIES SETUP === closeSeries = variant(basisType, close , basisLen, offsetSigma, offsetALMA) openSeries = variant(basisType, open , basisLen, offsetSigma, offsetALMA) // === /SERIES === // Get Alternate resolution Series if selected. closeSeriesAlt = reso(closeSeries, useRes, stratRes) openSeriesAlt = reso(openSeries, useRes, stratRes) // lxTrigger = false sxTrigger = false leTrigger = ta.crossover (closeSeriesAlt, openSeriesAlt) seTrigger = ta.crossunder(closeSeriesAlt, openSeriesAlt) G_RISK = '■ ' + 'Risk Management' //#region ———— <↓↓↓ G_RISK ↓↓↓> { // ——————————— //Tooltip T_LVL = '(%) Exit Level' T_QTY = '(%) Adjust trade exit volume' T_MSG = 'Paste JSON message for your bot' //Webhook Message O_LEMSG = 'Long Entry' O_LXMSGSL = 'Long SL' O_LXMSGTP1 = 'Long TP1' O_LXMSGTP2 = 'Long TP2' O_LXMSGTP3 = 'Long TP3' O_LXMSG = 'Long Exit' O_SEMSG = 'Short Entry' O_SXMSGSL = 'Short SL' O_SXMSGA = 'Short TP1' O_SXMSGB = 'Short TP2' O_SXMSGC = 'Short TP3' O_SXMSGX = 'Short Exit' // ——————————— | | | Line length guide | i_lxLvlTP1 = input.float (0.2, 'Level TP1' , group = G_RISK, tooltip = T_LVL) i_lxQtyTP1 = input.float (80.0, 'Qty TP1' , group = G_RISK, tooltip = T_QTY) i_lxLvlTP2 = input.float (0.5, 'Level TP2' , group = G_RISK, tooltip = T_LVL) i_lxQtyTP2 = input.float (10.0, 'Qty TP2' , group = G_RISK, tooltip = T_QTY) i_lxLvlTP3 = input.float (7.0, 'Level TP3' , group = G_RISK, tooltip = T_LVL) i_lxQtyTP3 = input.float (2, 'Qty TP3' , group = G_RISK, tooltip = T_QTY) i_lxLvlSL = input.float (0.5, 'Stop Loss' , group = G_RISK, tooltip = T_LVL) i_sxLvlTP1 = i_lxLvlTP1 i_sxQtyTP1 = i_lxQtyTP1 i_sxLvlTP2 = i_lxLvlTP2 i_sxQtyTP2 = i_lxQtyTP2 i_sxLvlTP3 = i_lxLvlTP3 i_sxQtyTP3 = i_lxQtyTP3 i_sxLvlSL = i_lxLvlSL G_MSG = '■ ' + 'Webhook Message' i_leMsg = input.string (O_LEMSG ,'Long Entry' , group = G_MSG, tooltip = T_MSG) i_lxMsgSL = input.string (O_LXMSGSL ,'Long SL' , group = G_MSG, tooltip = T_MSG) i_lxMsgTP1 = input.string (O_LXMSGTP1,'Long TP1' , group = G_MSG, tooltip = T_MSG) i_lxMsgTP2 = input.string (O_LXMSGTP2,'Long TP2' , group = G_MSG, tooltip = T_MSG) i_lxMsgTP3 = input.string (O_LXMSGTP3,'Long TP3' , group = G_MSG, tooltip = T_MSG) i_lxMsg = input.string (O_LXMSG ,'Long Exit' , group = G_MSG, tooltip = T_MSG) i_seMsg = input.string (O_SEMSG ,'Short Entry' , group = G_MSG, tooltip = T_MSG) i_sxMsgSL = input.string (O_SXMSGSL ,'Short SL' , group = G_MSG, tooltip = T_MSG) i_sxMsgTP1 = input.string (O_SXMSGA ,'Short TP1' , group = G_MSG, tooltip = T_MSG) i_sxMsgTP2 = input.string (O_SXMSGB ,'Short TP2' , group = G_MSG, tooltip = T_MSG) i_sxMsgTP3 = input.string (O_SXMSGC ,'Short TP3' , group = G_MSG, tooltip = T_MSG) i_sxMsg = input.string (O_SXMSGX ,'Short Exit' , group = G_MSG, tooltip = T_MSG) i_src = close G_DISPLAY = 'Display' // i_alertOn = input.bool (true, 'Alert Labels On/Off' , group = G_DISPLAY) i_barColOn = input.bool (true, 'Bar Color On/Off' , group = G_DISPLAY) // ——————————— // @function Calculate the Take Profit line, and the crossover or crossunder f_tp(_condition, _conditionValue, _leTrigger, _seTrigger, _src, _lxLvlTP, _sxLvlTP)=> var float _tpLine = 0.0 _topLvl = _src + (_src * (_lxLvlTP / 100)) _botLvl = _src - (_src * (_sxLvlTP / 100)) _tpLine := _condition != _conditionValue and _leTrigger ? _topLvl : _condition != -_conditionValue and _seTrigger ? _botLvl : nz(_tpLine ) // @function Similar to "ta.crossover" or "ta.crossunder" f_cross(_scr1, _scr2, _over)=> _cross = _over ? _scr1 > _scr2 and _scr1 < _scr2 : _scr1 < _scr2 and _scr1 > _scr2 // ——————————— // var float condition = 0.0 var float slLine = 0.0 var float entryLine = 0.0 // entryLine := leTrigger and condition <= 0.0 ? close : seTrigger and condition >= 0.0 ? close : nz(entryLine ) // slTopLvl = i_src + (i_src * (i_lxLvlSL / 100)) slBotLvl = i_src - (i_src * (i_sxLvlSL / 100)) slLine := condition <= 0.0 and leTrigger ? slBotLvl : condition >= 0.0 and seTrigger ? slTopLvl : nz(slLine ) slLong = f_cross(low, slLine, false) slShort = f_cross(high, slLine, true ) // = f_tp(condition, 1.2,leTrigger, seTrigger, i_src, i_lxLvlTP3, i_sxLvlTP3) = f_tp(condition, 1.1,leTrigger, seTrigger, i_src, i_lxLvlTP2, i_sxLvlTP2) = f_tp(condition, 1.0,leTrigger, seTrigger, i_src, i_lxLvlTP1, i_sxLvlTP1) tp3Long = f_cross(high, tp3Line, true ) tp3Short = f_cross(low, tp3Line, false) tp2Long = f_cross(high, tp2Line, true ) tp2Short = f_cross(low, tp2Line, false) tp1Long = f_cross(high, tp1Line, true ) tp1Short = f_cross(low, tp1Line, false) switch leTrigger and condition <= 0.0 => condition := 1.0 seTrigger and condition >= 0.0 => condition := -1.0 tp3Long and condition == 1.2 => condition := 1.3 tp3Short and condition == -1.2 => condition := -1.3 tp2Long and condition == 1.1 => condition := 1.2 tp2Short and condition == -1.1 => condition := -1.2 tp1Long and condition == 1.0 => condition := 1.1 tp1Short and condition == -1.0 => condition := -1.1 slLong and condition >= 1.0 => condition := 0.0 slShort and condition <= -1.0 => condition := 0.0 lxTrigger and condition >= 1.0 => condition := 0.0 sxTrigger and condition <= -1.0 => condition := 0.0 longE = leTrigger and condition <= 0.0 and condition == 1.0 shortE = seTrigger and condition >= 0.0 and condition == -1.0 longX = lxTrigger and condition >= 1.0 and condition == 0.0 shortX = sxTrigger and condition <= -1.0 and condition == 0.0 longSL = slLong and condition >= 1.0 and condition == 0.0 shortSL = slShort and condition <= -1.0 and condition == 0.0 longTP3 = tp3Long and condition == 1.2 and condition == 1.3 shortTP3 = tp3Short and condition == -1.2 and condition == -1.3 longTP2 = tp2Long and condition == 1.1 and condition == 1.2 shortTP2 = tp2Short and condition == -1.1 and condition == -1.2 longTP1 = tp1Long and condition == 1.0 and condition == 1.1 shortTP1 = tp1Short and condition == -1.0 and condition == -1.1 // ——————————— { // if strategy.position_size <= 0 and longE and barstate.isconfirmed strategy.entry( 'Long', strategy.long, alert_message = i_leMsg, comment = 'LE') if strategy.position_size > 0 and condition == 1.0 strategy.exit( id = 'LXTP1', from_entry = 'Long', qty_percent = i_lxQtyTP1, limit = tp1Line, stop = slLine, comment_profit = 'LXTP1', comment_loss = 'SL', alert_profit = i_lxMsgTP1, alert_loss = i_lxMsgSL) if strategy.position_size > 0 and condition == 1.1 strategy.exit( id = 'LXTP2', from_entry = 'Long', qty_percent = i_lxQtyTP2, limit = tp2Line, stop = slLine, comment_profit = 'LXTP2', comment_loss = 'SL', alert_profit = i_lxMsgTP2, alert_loss = i_lxMsgSL) if strategy.position_size > 0 and condition == 1.2 strategy.exit( id = 'LXTP3', from_entry = 'Long', qty_percent = i_lxQtyTP3, limit = tp3Line, stop = slLine, comment_profit = 'LXTP3', comment_loss = 'SL', alert_profit = i_lxMsgTP3, alert_loss = i_lxMsgSL) if longX strategy.close( 'Long', alert_message = i_lxMsg, comment = 'LX') // if strategy.position_size >= 0 and shortE and barstate.isconfirmed strategy.entry( 'Short', strategy.short, alert_message = i_leMsg, comment = 'SE') if strategy.position_size < 0 and condition == -1.0 strategy.exit( id = 'SXTP1', from_entry = 'Short', qty_percent = i_sxQtyTP1, limit = tp1Line, stop = slLine, comment_profit = 'SXTP1', comment_loss = 'SL', alert_profit = i_sxMsgTP1, alert_loss = i_sxMsgSL) if strategy.position_size < 0 and condition == -1.1 strategy.exit( id = 'SXTP2', from_entry = 'Short', qty_percent = i_sxQtyTP2, limit = tp2Line, stop = slLine, comment_profit = 'SXTP2', comment_loss = 'SL', alert_profit = i_sxMsgTP2, alert_loss = i_sxMsgSL) if strategy.position_size < 0 and condition == -1.2 strategy.exit( id = 'SXTP3', from_entry = 'Short', qty_percent = i_sxQtyTP3, limit = tp3Line, stop = slLine, comment_profit = 'SXTP3', comment_loss = 'SL', alert_profit = i_sxMsgTP3, alert_loss = i_sxMsgSL) if shortX strategy.close( 'Short', alert_message = i_sxMsg, comment = 'SX') // ——————————— c_tp = leTrigger or seTrigger ? na : condition == 0.0 ? na : color.green c_entry = leTrigger or seTrigger ? na : condition == 0.0 ? na : color.blue c_sl = leTrigger or seTrigger ? na : condition == 0.0 ? na : color.red p_tp1Line = plot ( condition == 1.0 or condition == -1.0 ? tp1Line : na, title = "TP Line 1", color = c_tp, linewidth = 1, style = plot.style_linebr) p_tp2Line = plot ( condition == 1.0 or condition == -1.0 or condition == 1.1 or condition == -1.1 ? tp2Line : na, title = "TP Line 2", color = c_tp, linewidth = 1, style = plot.style_linebr) p_tp3Line = plot ( condition == 1.0 or condition == -1.0 or condition == 1.1 or condition == -1.1 or condition == 1.2 or condition == -1.2 ? tp3Line : na, title = "TP Line 3", color = c_tp, linewidth = 1, style = plot.style_linebr) p_entryLine = plot ( condition >= 1.0 or condition <= -1.0 ? entryLine : na, title = "Entry Line", color = c_entry, linewidth = 1, style = plot.style_linebr) p_slLine = plot ( condition == 1.0 or condition == -1.0 or condition == 1.1 or condition == -1.1 or condition == 1.2 or condition == -1.2 ? slLine : na, title = "SL Line", color = c_sl, linewidth = 1, style = plot.style_linebr) fill( p_tp3Line, p_entryLine, color = leTrigger or seTrigger ? na :color.new(color.green, 90)) fill( p_entryLine, p_slLine, color = leTrigger or seTrigger ? na :color.new(color.red, 90)) // plotshape( i_alertOn and longE, title = 'Long', text = 'Long', textcolor = color.white, color = color.green, style = shape.labelup, size = size.tiny, location = location.belowbar) plotshape( i_alertOn and shortE, title = 'Short', text = 'Short', textcolor = color.white, color = color.red, style = shape.labeldown, size = size.tiny, location = location.abovebar) plotshape( i_alertOn and (longX or shortX) ? close : na, title = 'Close', text = 'Close', textcolor = color.white, color = color.gray, style = shape.labelup, size = size.tiny, location = location.absolute) l_tp = i_alertOn and (longTP1 or shortTP1) ? close : na plotshape( l_tp, title = "TP1 Cross", text = "TP1", textcolor = color.white, color = color.olive, style = shape.labelup, size = size.tiny, location = location.absolute) plotshape( i_alertOn and (longTP2 or shortTP2) ? close : na, title = "TP2 Cross", text = "TP2", textcolor = color.white, color = color.olive, style = shape.labelup, size = size.tiny, location = location.absolute) plotshape( i_alertOn and (longTP3 or shortTP3) ? close : na, title = "TP3 Cross", text = "TP3", textcolor = color.white, color = color.olive, style = shape.labelup, size = size.tiny, location = location.absolute) plotshape( i_alertOn and (longSL or shortSL) ? close : na, title = "SL Cross", text = "SL", textcolor = color.white, color = color.maroon, style = shape.labelup, size = size.tiny, location = location.absolute) // plot( na, title = "─── ───", editable = false, display = display.data_window) plot( condition, title = "condition", editable = false, display = display.data_window) plot( strategy.position_size * 100, title = ".position_size", editable = false, display = display.data_window) //#endregion } // ——————————— <↑↑↑ G_RISK ↑↑↑> //#region ———— <↓↓↓ G_SCRIPT02 ↓↓↓> { // @function Queues a new element in an array and de-queues its first element. f_qDq(_array, _val) => array.push(_array, _val) _return = array.shift(_array) _return var line a_slLine = array.new_line(1) var line a_entryLine = array.new_line(1) var line a_tp3Line = array.new_line(1) var line a_tp2Line = array.new_line(1) var line a_tp1Line = array.new_line(1) var label a_slLabel = array.new_label(1) var label a_tp3label = array.new_label(1) var label a_tp2label = array.new_label(1) var label a_tp1label = array.new_label(1) var label a_entryLabel = array.new_label(1) newEntry = longE or shortE entryIndex = 1 entryIndex := newEntry ? bar_index : nz(entryIndex ) lasTrade = bar_index >= entryIndex l_right = 10 line.delete( f_qDq(a_slLine, line.new( entryIndex, slLine, last_bar_index + l_right, slLine, style = line.style_solid, color = c_sl))) line.delete( f_qDq(a_entryLine, line.new( entryIndex, entryLine, last_bar_index + l_right, entryLine, style = line.style_solid, color = color.blue))) line.delete( f_qDq(a_tp3Line, line.new( entryIndex, tp3Line, last_bar_index + l_right, tp3Line, style = line.style_solid, color = c_tp))) line.delete( f_qDq(a_tp2Line, line.new( entryIndex, tp2Line, last_bar_index + l_right, tp2Line, style = line.style_solid, color = c_tp))) line.delete( f_qDq(a_tp1Line, line.new( entryIndex, tp1Line, last_bar_index + l_right, tp1Line, style = line.style_solid, color = c_tp))) label.delete( f_qDq(a_slLabel, label.new( last_bar_index + l_right, slLine, 'SL: ' + str.tostring(slLine, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_sl))) label.delete( f_qDq(a_entryLabel, label.new( last_bar_index + l_right, entryLine, 'Entry: ' + str.tostring(entryLine, '##.###'), style = label.style_label_left, textcolor = color.white, color = color.blue))) label.delete( f_qDq(a_tp3label, label.new( last_bar_index + l_right, tp3Line, 'TP3: ' + str.tostring(tp3Line, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_tp))) label.delete( f_qDq(a_tp2label, label.new( last_bar_index + l_right, tp2Line, 'TP2: ' + str.tostring(tp2Line, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_tp))) label.delete( f_qDq(a_tp1label, label.new( last_bar_index + l_right, tp1Line, 'TP1: ' + str.tostring(tp1Line, '##.###'), style = label.style_label_left, textcolor = color.white, color = c_tp))) // ——————————— // if longE or shortE or longX or shortX alert(message = 'Any Alert', freq = alert.freq_once_per_bar_close) if longE alert(message = 'Long Entry', freq = alert.freq_once_per_bar_close) if shortE alert(message = 'Short Entry', freq = alert.freq_once_per_bar_close) if longX alert(message = 'Long Exit', freq = alert.freq_once_per_bar_close) if shortX alert(message = 'Short Exit', freq = alert.freq_once_per_bar_close) //#endregion } // ——————————— <↑↑↑ G_SCRIPT03 ↑↑↑>
אינדיקטור Pine Script®
מאת ‎zh_nnurmuhanov‎
DevDashboardLibraryThis is a helper library designed to encapsulate the rendering logic for an information panel (dashboard) in Pine Script indicators. Purpose The main goal of this library is to streamline the main indicator code by offloading all the work of creating and populating a table into a separate, reusable function. This makes the main script cleaner, more readable, and easier to maintain. How to Use The library exports one main function: drawDashboard(). This function takes the ID of an existing table and a set of text and color data as input, then populates the table's cells to form a neat and informative dashboard. Authorship This library was created and modified by user Dev0880 for personal use in their projects.
ספריית Pine Script®
מאת ‎Dev0880‎
Scalp Flags — Price Action EMA/RSI//@version=5 indicator("TEST FLAGS OVERLAY", overlay=true) // simple EMAs fast = ta.ema(close, 9) slow = ta.ema(close, 21) // signals buy = ta.crossover(fast, slow) sell = ta.crossunder(fast, slow) // draw on price panel plotshape(buy, title="BUY", location=location.belowbar, style=shape.labelup, color=color.green, text="BUY", size=size.small) plotshape(sell, title="SELL", location=location.abovebar, style=shape.labeldown, color=color.red, text="SELL", size=size.small) // show EMAs for verification plot(fast, color=color.new(color.green, 0)) plot(slow, color=color.new(color.red, 0))
אינדיקטור Pine Script®
מאת ‎rdrajnikanth‎
TAUtilityLibLibrary "TAUtilityLib" Technical Analysis Utility Library - Collection of functions for market analysis, smoothing, scaling, and structure detection log_snapshot(label1, val1, label2, val2, label3, val3, label4, val4, label5, val5)   Creates formatted log snapshot with 5 labeled values   Parameters:      label1 (string)      val1 (float)      label2 (string)      val2 (float)      label3 (string)      val3 (float)      label4 (string)      val4 (float)      label5 (string)      val5 (float)   Returns: void (logs to console) f_get_next_tf(tf, steps)   Gets next higher timeframe(s) from current   Parameters:      tf (string) : Current timeframe string      steps (string) : "1 TF Higher" for next TF, any other value for 2 TFs higher   Returns: Next timeframe string or na if at maximum f_get_prev_tf(tf)   Gets previous lower timeframe from current   Parameters:      tf (string) : Current timeframe string   Returns: Previous timeframe string or na if at minimum supersmoother(_src, _length)   Ehler's SuperSmoother - low-lag smoothing filter   Parameters:      _src (float) : Source series to smooth      _length (simple int) : Smoothing period   Returns: Smoothed series butter_smooth(src, len)   Butterworth filter for ultra-smooth price filtering   Parameters:      src (float) : Source series      len (simple int) : Filter period   Returns: Butterworth smoothed series f_dynamic_ema(source, dynamic_length)   Dynamic EMA with variable length   Parameters:      source (float) : Source series      dynamic_length (float) : Dynamic period (can vary bar to bar)   Returns: Dynamically adjusted EMA dema(source, length)   Double Exponential Moving Average (DEMA)   Parameters:      source (float) : Source series      length (simple int) : Period for DEMA calculation   Returns: DEMA value f_scale_percentile(primary_line, secondary_line, x)   Scales secondary line to match primary line using percentile ranges   Parameters:      primary_line (float) : Reference series for target scale      secondary_line (float) : Series to be scaled      x (int) : Lookback bars for percentile calculation   Returns: Scaled version of secondary_line calculate_correlation_scaling(demamom_range, demamom_min, correlation_range, correlation_min)   Calculates scaling factors for correlation alignment   Parameters:      demamom_range (float) : Range of primary series      demamom_min (float) : Minimum of primary series      correlation_range (float) : Range of secondary series      correlation_min (float) : Minimum of secondary series   Returns: tuple for alignment getBB(src, length, mult, chartlevel)   Calculates Bollinger Bands with chart level offset   Parameters:      src (float) : Source series      length (simple int) : MA period      mult (simple float) : Standard deviation multiplier      chartlevel (simple float) : Vertical offset for plotting   Returns: tuple get_mrc(source, length, mult, mult2, gradsize)   Mean Reversion Channel with multiple bands and conditions   Parameters:      source (float) : Price source      length (simple int) : Channel period      mult (simple float) : First band multiplier      mult2 (simple float) : Second band multiplier      gradsize (simple float) : Gradient size for zone detection   Returns: analyzeMarketStructure(highFractalBars, highFractalPrices, lowFractalBars, lowFractalPrices, trendDirection)   Analyzes market structure for ChoCH and BOS patterns   Parameters:      highFractalBars (array) : Array of high fractal bar indices      highFractalPrices (array) : Array of high fractal prices      lowFractalBars (array) : Array of low fractal bar indices      lowFractalPrices (array) : Array of low fractal prices      trendDirection (int) : Current trend (1=up, -1=down, 0=neutral)   Returns: - change signals and new trend direction
ספריית Pine Script®
מאת ‎cybermediaboy‎
ScalpZone — EMA+RSI+ATR (Nifty/Sensex)//@version=5 indicator("ScalpZone — EMA+RSI+ATR (Nifty/Sensex)", overlay=true, shorttitle="ScalpZone v2") // === Inputs === fastLen = input.int(9, title="Fast EMA", minval=1) slowLen = input.int(21, title="Slow EMA", minval=1) rsiLen = input.int(7, title="RSI Length", minval=1) rsi_high = input.int(70, title="RSI Overbought") rsi_low = input.int(35, title="RSI Oversold (for entries)") atrLen = input.int(14, title="ATR Length") atrMult = input.float(1.5, title="ATR Multiplier (trailing stop)") useStrictPullback = input.bool(true, title="Require pullback candle (close < fast EMA) for entry") showStops = input.bool(true, title="Show trailing stop line") showEMAs = input.bool(true, title="Show EMAs") // === Core indicators === emaFast = ta.ema(close, fastLen) emaSlow = ta.ema(close, slowLen) rsiVal = ta.rsi(close, rsiLen) atr = ta.atr(atrLen) // === Trend detection === bullTrend = emaFast > emaSlow bearTrend = emaFast < emaSlow // Pullback pullback = close < emaFast // Entry conditions longCondition = bullTrend and (not useStrictPullback or pullback) and (rsiVal > rsi_low and rsiVal < rsi_high) and close > open and close > emaFast shortCondition = bearTrend and (not useStrictPullback or not pullback) and (rsiVal < rsi_high and rsiVal > rsi_low) and close < open and close < emaFast // === Trailing stops === var float longTrail = na var float shortTrail = na if (longCondition) longTrail := close - atr * atrMult else if not na(longTrail) longTrail := math.max(longTrail, close - atr * atrMult) if (shortCondition) shortTrail := close + atr * atrMult else if not na(shortTrail) shortTrail := math.min(shortTrail, close + atr * atrMult) // Exit signals longExit = not na(longTrail) and close < longTrail shortExit = not na(shortTrail) and close > shortTrail // === Dynamic EMA colors === emaFastColor = emaFast > emaSlow ? color.green : color.red emaSlowColor = color.orange // === Plots === // Signals plotshape(longCondition, title="Long Entry", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.tiny, text="LONG") plotshape(shortCondition, title="Short Entry", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny, text="SHORT") plotshape(longExit, title="Long Exit", location=location.abovebar, color=color.orange, style=shape.xcross, size=size.tiny, text="EXIT") plotshape(shortExit, title="Short Exit", location=location.belowbar, color=color.orange, style=shape.xcross, size=size.tiny, text="EXIT") // EMAs (with visibility toggle) plot(emaFast, title="EMA Fast", color=emaFastColor, linewidth=2, display = showEMAs ? display.all : display.none) plot(emaSlow, title="EMA Slow", color=emaSlowColor, linewidth=2, display = showEMAs ? display.all : display.none) // Trailing stops (with visibility toggle) plot(longTrail, title="Long Trail", style=plot.style_linebr, linewidth=2, color=color.green, display = showStops ? display.all : display.none) plot(shortTrail, title="Short Trail", style=plot.style_linebr, linewidth=2, color=color.red, display = showStops ? display.all : display.none) // RSI (hidden panel — you can enable in Style menu) plot(rsiVal, title="RSI", color=color.blue, display=display.none) hline(rsi_high, "RSI High", color=color.gray, linestyle=hline.style_dotted) hline(rsi_low, "RSI Low", color=color.gray, linestyle=hline.style_dotted) // === Alerts === alertcondition(longCondition, title="ScalpZone Long", message="ScalpZone: LONG signal on {{ticker}} {{interval}} — Close: {{close}}") alertcondition(shortCondition, title="ScalpZone Short", message="ScalpZone: SHORT signal on {{ticker}} {{interval}} — Close: {{close}}") alertcondition(longExit, title="ScalpZone Long Exit", message="ScalpZone: EXIT LONG on {{ticker}} {{interval}} — Close: {{close}}") alertcondition(shortExit, title="ScalpZone Short Exit", message="ScalpZone: EXIT SHORT on {{ticker}} {{interval}} — Close: {{close}}")
אינדיקטור Pine Script®
מאת ‎rdrajnikanth‎
Today's 5min HH/LL LinesOverview This indicator identifies the highest high (HH) and lowest low (LL) formed by the first 5 one-minute candles of the current trading day. Once calculated, it plots continuous horizontal lines at those price levels for the remainder of the day. How it works The script internally requests 1-minute data for the current symbol, regardless of your chart’s timeframe. At the start of each new trading day, it resets counters. It captures the highest high and lowest low across the first five completed 1-minute candles. After the 5th one-minute bar closes, it draws: A green horizontal line at the highest high. A red horizontal line at the lowest low. These lines extend to the right, covering the entire trading session, and automatically scale with zoom/pan. At the next session, the old lines are deleted and recalculated for the new day. Use cases Helps spot early intraday support and resistance zones. Useful for breakout or reversal strategies that monitor when price breaches the first 5-minute range (derived from 5x1m bars). Can be combined with volume, momentum, or candlestick signals for high-probability entries. Key features Works on any timeframe — always uses 1-minute data for precision. Shows lines only for the current day (no clutter from prior sessions). Lines are dynamic and adaptive — they remain fixed at the calculated price but extend continuously across the chart.
אינדיקטור Pine Script®
מאת ‎TheSkeletor‎
Universal MA Playground🔥 Universal MA Playground — Test Any Moving Average Combo With Style Experiment with 14 moving average types, crossovers, and themes in one flexible indicator What it is A universal moving average playground with 14 MA types, customizable auto/manual lengths, and multiple color themes. It highlights crossovers with glowing lines, background tint, and theme-based styling. Intended as a flexible exploration tool, not a standalone trading system. Why combine multiple MAs? Each moving average has unique strengths: EMA (Exponential) → reacts faster to price changes. SMA (Simple) → smooth, classic trend measure. HMA (Hull) → reduces lag, sharper turns. TEMA/DEMA → smoother than EMA, responsive to reversals. ALMA, McGinley, LSMA → adaptive, less noisy. VWAP & Rolling VWAP → volume-weighted trend with session or rolling lookback. By testing crossovers between any two types, traders can see where different smoothing methods align, helping filter weak or lagging signals. How it works MA1 & MA2: Choose any type (SMA, EMA, HMA, VWAP, etc.). Lengths: Each MA defaults to its standard (e.g. EMA=21, SMA=20, HMA=21). Manual override option available. Visuals: Lines change color by theme. Fill between MAs highlights when MA1 > MA2 (bull) or MA1 < MA2 (bear). Optional background glow reinforces bias. Themes: Classic, Neon, Dark Glow, Ice & Fire, Minimalist, Cyberpunk, Nature. What’s original here Full library of 14 MA types in one script. Auto-length detection with manual override toggle. Theme engine for line, fill, and glow styles. VWAP handling: true session VWAP intraday, fallback VWMA on higher timeframes. Clean visual crossover highlights without extra clutter. Inputs & settings MA Types: SMA, EMA, WMA, VWMA, RMA, DEMA, TEMA, T3, HMA, ALMA, McGinley, LSMA, VWAP, Rolling VWAP. Lengths: Auto (standard defaults) or manual override. Theme selector: 7 presets. Background glow: ON/OFF. How to read Two selected MAs are plotted. Fill between them shows bias (green for MA1 above, red for MA1 below). Triangle markers show crossover points. Background glow (optional) highlights overall state. Suggested use Test different MA pairs (e.g. EMA21 vs HMA50, VWAP vs SMA20). Use as trend confirmation or visual exploration, not a standalone system. Works on all timeframes; useful both intraday and swing. Limitations VWAP only works intraday; on higher TF it falls back to VWMA(20). Not a trading system by itself. Use with structure, risk management, and confluence. Signals may lag in sideways markets. Credits Standard MAs are public domain (SMA, EMA, HMA, VWAP, etc.). Universal combination, auto/manual logic, and theme design: NICK789. Disclaimer Educational use only; not financial advice. No guarantees of accuracy or profitability. Markets involve risk; past performance does not guarantee results.
אינדיקטור Pine Script®
מאת ‎NICK789‎
ATR Histogram vs High-Low//@version=5 indicator("RSI+Price Confluence", overlay=false) rsiSrc = input(close) rsiLen = input.int(14) emaRSI = input.int(9) wmaRSI = input.int(45) tf = input.timeframe("60") emaF = input.int(21) emaS = input.int(52) // Lấy EMA và WMA của RSI HTF chỉ trong 1 lần request ema_rsi = request.security(syminfo.tickerid, tf, ta.ema(ta.rsi(rsiSrc, rsiLen), emaRSI)) wma_rsi = request.security(syminfo.tickerid, tf, ta.wma(ta.rsi(rsiSrc, rsiLen), wmaRSI)) // Xác định lực RSI luc_up = ema_rsi > wma_rsi luc_down = ema_rsi < wma_rsi // Lực giá (EMA nhanh & chậm) gia_up = ta.ema(close, emaF) > ta.ema(close, emaS) gia_down = ta.ema(close, emaF) < ta.ema(close, emaS) // Tín hiệu cuối cùng isUP = luc_up and gia_up isDOWN = luc_down and gia_down isNEU = not isUP and not isDOWN // Vẽ cột tín hiệu, color= đầy đủ plot(isUP ? 1 : na, title="UP", style=plot.style_columns, color=color.green, linewidth=6) plot(isDOWN ? -1 : na, title="DOWN", style=plot.style_columns, color=color.red, linewidth=6) plot(isNEU ? 0 : na, title="NEU", style=plot.style_columns, color=color.yellow, linewidth=6) // Đường zero hline(0, "", color=color.gray, linestyle=hline.style_dotted)
אינדיקטור Pine Script®
מאת ‎ticasrnarusrtst2306‎