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لbsm15// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org // © LuxAlgo //@version=5 indicator("لbsm15", overlay = true, max_lines_count = 500, max_boxes_count = 500, max_bars_back = 3000) //------------------------------------------------------------------------------ //Settings //-----------------------------------------------------------------------------{ liqGrp = 'Liquidity Detection' liqLen = input.int (7, title = 'Detection Length', minval = 3, maxval = 13, inline = 'LIQ', group = liqGrp) liqMar = 10 / input.float (6.9, 'Margin', minval = 4, maxval = 9, step = 0.1, inline = 'LIQ', group = liqGrp) liqBuy = input.bool (true, 'Buyside Liquidity Zones, Margin', inline = 'Buyside', group = liqGrp) marBuy = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Buyside', group = liqGrp) cLIQ_B = input.color (color.new(#4caf50, 0), '', inline = 'Buyside', group = liqGrp) liqSel = input.bool (true, 'Sellside Liquidity Zones, Margin', inline = 'Sellside', group = liqGrp) marSel = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Sellside', group = liqGrp) cLIQ_S = input.color (color.new(#f23645, 0), '', inline = 'Sellside', group = liqGrp) lqVoid = input.bool (false, 'Liquidity Voids, Bullish', inline = 'void', group = liqGrp) cLQV_B = input.color (color.new(#4caf50, 0), '', inline = 'void', group = liqGrp) cLQV_S = input.color (color.new(#f23645, 0), 'Bearish', inline = 'void', group = liqGrp) lqText = input.bool (false, 'Label', inline = 'void', group = liqGrp) mode = input.string('Present', title = 'Mode', options = , inline = 'MOD', group = liqGrp) visLiq = input.int (3, '    # Visible Levels', minval = 1, maxval = 50, inline = 'MOD', group = liqGrp) //-----------------------------------------------------------------------------} //General Calculations //-----------------------------------------------------------------------------{ maxSize = 50 atr = ta.atr(10) atr200 = ta.atr(200) per = mode == 'Present' ? last_bar_index - bar_index <= 500 : true //-----------------------------------------------------------------------------} //User Defined Types //-----------------------------------------------------------------------------{ // @type used to store pivot high/low data // // @field d (array) The array where the trend direction is to be maintained // @field x (array) The array where the bar index value of pivot high/low is to be maintained // @field y (array) The array where the price value of pivot high/low is to be maintained type ZZ int d int x float y // @type bar properties with their values // // @field o (float) open price of the bar // @field h (float) high price of the bar // @field l (float) low price of the bar // @field c (float) close price of the bar // @field i (int) index of the bar type bar float o = open float h = high float l = low float c = close int i = bar_index // @type liquidity object definition // // @field bx (box) box maitaing the liquity level margin extreme levels // @field bxz (box) box maitaing the liquity zone margin extreme levels // @field bxt (box) box maitaing the labels // @field brZ (bool) mainains broken zone status // @field brL (bool) mainains broken level status // @field ln (line) maitaing the liquity level line // @field lne (line) maitaing the liquity extended level line type liq box bx box bxz box bxt bool brZ bool brL line ln line lne //-----------------------------------------------------------------------------} //Variables //-----------------------------------------------------------------------------{ var ZZ aZZ = ZZ.new( array.new (maxSize, 0), array.new (maxSize, 0), array.new (maxSize, na) ) bar b = bar.new() var liq b_liq_B = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na))) var liq b_liq_S = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na))) var b_liq_V = array.new_box() var int dir = na, var int x1 = na, var float y1 = na, var int x2 = na, var float y2 = na //-----------------------------------------------------------------------------} //Functions/methods //-----------------------------------------------------------------------------{ // @function maintains arrays // it prepends a `value` to the arrays and removes their oldest element at last position // @param aZZ (UDT, array, array>) The UDT obejct of arrays // @param _d (array) The array where the trend direction is maintained // @param _x (array) The array where the bar index value of pivot high/low is maintained // @param _y (array) The array where the price value of pivot high/low is maintained // // @returns none method in_out(ZZ aZZ, int _d, int _x, float _y) => aZZ.d.unshift(_d), aZZ.x.unshift(_x), aZZ.y.unshift(_y), aZZ.d.pop(), aZZ.x.pop(), aZZ.y.pop() // @function (build-in) sets the maximum number of bars that is available for historical reference max_bars_back(time, 1000) //-----------------------------------------------------------------------------} //Calculations //-----------------------------------------------------------------------------{ x2 := b.i - 1 ph = ta.pivothigh(liqLen, 1) pl = ta.pivotlow (liqLen, 1) if ph dir := aZZ.d.get(0) x1 := aZZ.x.get(0) y1 := aZZ.y.get(0) y2 := nz(b.h ) if dir < 1 aZZ.in_out(1, x2, y2) else if dir == 1 and ph > y1 aZZ.x.set(0, x2), aZZ.y.set(0, y2) if per count = 0 st_P = 0. st_B = 0 minP = 0. maxP = 10e6 for i = 0 to maxSize - 1 if aZZ.d.get(i) == 1 if aZZ.y.get(i) > ph + (atr / liqMar) break else if aZZ.y.get(i) > ph - (atr / liqMar) and aZZ.y.get(i) < ph + (atr / liqMar) count += 1 st_B := aZZ.x.get(i) st_P := aZZ.y.get(i) if aZZ.y.get(i) > minP minP := aZZ.y.get(i) if aZZ.y.get(i) < maxP maxP := aZZ.y.get(i) if count > 2 getB = b_liq_B.get(0) if st_B == getB.bx.get_left() getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar)) getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar)) else b_liq_B.unshift( liq.new( box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)), box.new(na, na, na, na, bgcolor = color(na), border_color = color(na)), box.new(st_B, st_P, b.i + 10, st_P, text = 'Buyside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_bottom, text_color = color.new(cLIQ_B, 25), bgcolor = color(na), border_color = color(na)), false, false, line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_B, 0)), line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_B, 0), style = line.style_dotted)) ) alert('buyside liquidity level detected/updated for ' + syminfo.ticker) if b_liq_B.size() > visLiq getLast = b_liq_B.pop() getLast.bx.delete() getLast.bxz.delete() getLast.bxt.delete() getLast.ln.delete() getLast.lne.delete() if pl dir := aZZ.d.get (0) x1 := aZZ.x.get (0) y1 := aZZ.y.get (0) y2 := nz(b.l ) if dir > -1 aZZ.in_out(-1, x2, y2) else if dir == -1 and pl < y1 aZZ.x.set(0, x2), aZZ.y.set(0, y2) if per count = 0 st_P = 0. st_B = 0 minP = 0. maxP = 10e6 for i = 0 to maxSize - 1 if aZZ.d.get(i) == -1 if aZZ.y.get(i) < pl - (atr / liqMar) break else if aZZ.y.get(i) > pl - (atr / liqMar) and aZZ.y.get(i) < pl + (atr / liqMar) count += 1 st_B := aZZ.x.get(i) st_P := aZZ.y.get(i) if aZZ.y.get(i) > minP minP := aZZ.y.get(i) if aZZ.y.get(i) < maxP maxP := aZZ.y.get(i) if count > 2 getB = b_liq_S.get(0) if st_B == getB.bx.get_left() getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar)) getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar)) else b_liq_S.unshift( liq.new( box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)), box.new(na, na, na, na, bgcolor=color(na), border_color=color(na)), box.new(st_B, st_P, b.i + 10, st_P, text = 'Sellside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_top, text_color = color.new(cLIQ_S, 25), bgcolor=color(na), border_color=color(na)), false, false, line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_S, 0)), line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_S, 0), style = line.style_dotted)) ) alert('sellside liquidity level detected/updated for ' + syminfo.ticker) if b_liq_S.size() > visLiq getLast = b_liq_S.pop() getLast.bx.delete() getLast.bxz.delete() getLast.bxt.delete() getLast.ln.delete() getLast.lne.delete() for i = 0 to b_liq_B.size() - 1 x = b_liq_B.get(i) if not x.brL x.lne.set_x2(b.i) if b.h > x.bx.get_top() x.brL := true x.brZ := true alert('buyside liquidity level breached for ' + syminfo.ticker) x.bxz.set_lefttop(b.i - 1, math.min(x.ln.get_y1() + marBuy * (atr), b.h)) x.bxz.set_rightbottom(b.i + 1, x.ln.get_y1()) x.bxz.set_bgcolor(color.new(cLIQ_B, liqBuy ? 73 : 100)) else if x.brZ if b.l > x.ln.get_y1() - marBuy * (atr) and b.h < x.ln.get_y1() + marBuy * (atr) x.bxz.set_right(b.i + 1) x.bxz.set_top(math.max(b.h, x.bxz.get_top())) if liqBuy x.lne.set_x2(b.i + 1) else x.brZ := false for i = 0 to b_liq_S.size() - 1 x = b_liq_S.get(i) if not x.brL x.lne.set_x2(b.i) if b.l < x.bx.get_bottom() x.brL := true x.brZ := true alert('sellside liquidity level breached for ' + syminfo.ticker) x.bxz.set_lefttop(b.i - 1, x.ln.get_y1()) x.bxz.set_rightbottom(b.i + 1, math.max(x.ln.get_y1() - marSel * (atr), b.l)) x.bxz.set_bgcolor(color.new(cLIQ_S, liqSel ? 73 : 100)) else if x.brZ if b.l > x.ln.get_y1() - marSel * (atr) and b.h < x.ln.get_y1() + marSel * (atr) x.bxz.set_rightbottom(b.i + 1, math.min(b.l, x.bxz.get_bottom())) if liqSel x.lne.set_x2(b.i + 1) else x.brZ := false if lqVoid and per bull = b.l - b.h > atr200 and b.l > b.h and b.c > b.h bear = b.l - b.h > atr200 and b.h < b.l and b.c < b.l if bull l = 13 if bull st = math.abs(b.l - b.l ) / l for i = 0 to l - 1 array.push(b_liq_V, box.new(b.i - 2, b.l + i * st, b.i, b.l + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) )) else st = math.abs(b.l - b.h ) / l for i = 0 to l - 1 if lqText and i == 0 array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_bottom, text_color = na, border_color = na, bgcolor = color.new(cLQV_B, 90) )) else array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) )) if bear l = 13 if bear st = math.abs(b.h - b.h) / l for i = 0 to l - 1 array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) )) else st = math.abs(b.l - b.h) / l for i = 0 to l - 1 if lqText and i == l - 1 array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_top, text_color = na, border_color = na, bgcolor = color.new(cLQV_S, 90) )) else array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) )) if b_liq_V.size() > 0 qt = b_liq_V.size() for bn = qt - 1 to 0 if bn < b_liq_V.size() cb = b_liq_V.get(bn) ba = math.avg(cb.get_bottom(), cb.get_top()) if math.sign(b.c - ba) != math.sign(b.c - ba) or math.sign(b.c - ba) != math.sign(b.l - ba) or math.sign(b.c - ba) != math.sign(b.h - ba) b_liq_V.remove(bn) else cb.set_right(b.i + 1) if b.i - cb.get_left() > 21 cb.set_text_color(color.new(color.gray, 25)) //-----------------------------------------------------------------------------}
אינדיקטור Pine Script®
מאת ‎bsamasaeid11‎
SuperTrend Zone Rejection [STRZ] CONCEPT - This indicator identifies trend-continuation setups by combining the Super Trend with dynamic Average True Range (ATR) value zones. It highlights specific price action behaviour's—specifically wick rejections and momentum closes—that occur during pullbacks into the trend baseline. HOW IT WORKS - The script operates on three logic gates: >> Trend Filter: Uses a standard Super Trend (Factor 3, Period 10 default) to define market direction. >> Dynamic Zones: Projects a volatility-based zone (default 2.0x ATR) above or below the Super Trend line to define a valid pullback area. >> Signal Detection: Identifies specific candle geometries occurring within these zones. >> Rejection: Candles with significant wicks testing the zone support/resistance. >> Momentum: Candles that open within the zone and close in the upper/lower quartile of their range. FEATURES - >> Dynamic Channel: Visualizes the active buy/sell zone using a continuous, non-repainting box. >> Volatile Filtering: Filters out low-volatility candles (doji's/noise) based on minimum ATR size. >> Visuals: Color-coded trend visualization with distinct signal markers for qualified entries. SETTINGS - >> Super Trend: Adjustable Factor and ATR Period. >> Zone Multiplier: Controls the width of the pullback zone relative to ATR. >> Visuals: Customizable colours for zones and signals to fit light/dark themes.
אינדיקטור Pine Script®
מאת ‎siddarth_banakar3‎
Supercombine BreakoutSupercombine Breakout combines an adaptive EMA volatility channel with ATR-powered take profits and stops to capture sharp breakouts and avoid noisy chop. One position at a time, clear rules, and fully parameterized so you can tune it to your market and timeframe. How to Use Apply to trending or breakout-friendly markets (indices, majors, strong trends). Tune lookback and multiplier to match volatility and timeframe. ATR settings let you tighten or relax TP/SL behavior. For live trading, consider adding: Time filters (sessions), Higher-timeframe trend filters, Volume or confirmation signals.
אסטרטגיית Pine Script®
מאת ‎BestTraderAnakin‎
KuberakshKuberaksh is a dynamic, trend-following indicator designed to identify market direction and potential reversals with high clarity. Built on the core logic of the HalfTrend, this script provides traders with clean, actionable signals and visual confirmation of channel deviation. 🔑 Key Features & Logic Adaptive Trend Detection: The indicator calculates the main trend line (ht) by tracking the price using an Average True Range (ATR) and combining it with Exponential Moving Average (EMA) principles applied to the highest and lowest prices. Deviation Ribbons: It plots dynamic ATR High and ATR Low ribbons around the HalfTrend line, colored green (buy) or red (sell), which visually represent the current market volatility and channel extremes. Reversal Signals: Clear Buy and Sell signals are generated when the price breaks the prior trend channel and the internal high/low tracking confirms a switch in direction. These signals are marked by arrows and optional labels.
אינדיקטור Pine Script®
מאת ‎venkatasangaiah_b‎
Stat Map Pro: Z-Score + RSI + Vol + Div StatMap Ultimate is a multi‑factor statistical mapping tool designed to give traders a deeper view of market extremes, momentum, and hidden divergences. By combining Z‑Score analysis, RSI momentum signals, volume spikes, and divergence detection, this indicator helps you spot high‑probability turning points and confluence setups with clarity. 🔑 Key Features - Z‑Score Candles: Price is normalized against its statistical mean, showing how far OHLC values deviate from equilibrium. This makes overbought/oversold zones (+2σ / ‑2σ) visually clear. - RSI Integration: Candle coloring adapts to RSI momentum, highlighting bullish/ bearish bias and extreme conditions (OB/OS). - Volume Spike Detection: Borders and wicks turn gold when volume exceeds a customizable threshold, signaling strong participation. - Divergence Mapping: Automatic detection of bullish and bearish divergences between price and Z‑Score pivots, plotted directly on the chart. - Confluence Signals: Simple circle markers highlight extreme setups where Z‑Score and RSI align, helping traders identify potential reversals. 🎯 How to Use - Watch for Z‑Score extremes (+2σ / ‑2σ) combined with RSI OB/OS for potential turning points. - Use gold volume spikes to confirm strong market interest. - Pay attention to divergence labels (Bull Div / Bear Div) for early reversal clues. - Combine signals for high‑confidence entries/exits in your trading strategy. ⚡ Why It’s Powerful Stat Map Pro transforms raw price, momentum, and volume data into a unified statistical framework. Instead of relying on a single indicator, you get a multi‑layered confluence map that highlights when markets are stretched, exhausted, or primed for reversal.
אינדיקטור Pine Script®
מאת ‎badjosbbq‎
1
Buy/Sell Signals [WynTrader]Hello dear Friend Here is a new version ( B-S_251121_wt ) of my Buy/Sell Signals indicator. Some calculation updates and useful enhancements have been applied. Concepts This Buy/Sell Signals indicator generates Buy/Sell signals as accurately as possible, identifying trend changes. Compared to other tools that detect trend shifts, this one is simple, easy to use, and demonstrates its efficiency on its own. - Its features are carefully designed to minimize false signals while ensuring optimal signal placement. - The Table results allow you to quickly evaluate signal performance, both on their own and compared to a Buy & Hold strategy. - The Table calculations are fully synchronized with the visible chart (WYSIWYG – What You See Is What You Get). You can also scroll the chart across different date ranges to see how a stock or product performs under various market conditions. - Seeing Buy/Sell signals on a chart is appealing, but assessing their performance in a Table makes it even more convincing. And without running a full backtest, you can get a clear overview of overall performance immediately. Features This indicator generates Buy/Sell signals using: - Fast and Slow Moving Averages (adjustable). - Bollinger Bands (adjustable). - Filters (optional, adjustable) to refine signals, including : Bollinger Bands Lookback Trend Filter; High-Low vs Candle Range Threshold %; Distance from Fast and Slow MAs Threshold %. - Results are displayed in a Table on the chart, based on the currently visible start and end dates. Functionality - The indicator aims to confirm trend changes through timely Buy/Sell signals. - It uses two Moving Averages and Bollinger Bands, combined with filters such as BB Lookback, -- The variable settings have been tested with a mix of manual and AI testing to find the optimal configuration. You can adjust the variables to suit your goals. - The design is simple, with clear parameters and instant readability of Buy/Sell Signals on the chart and in the Table results, without complex interpretation needed. - It works effectively by requiring both trend confirmation and volatility control management. - Signals are timed to be as accurate as possible, avoiding futile weak or false ones. - A Table shows the effectiveness of the signals on the current visible chart, providing immediate, realistic feedback. The Buy & Hold strategy results are also included for comparison with the Buy/Sell swing strategy. The Buy & Hold results start from the first Buy signal to ensure a fair comparison. - Changing the parameters instantly updates the Table, giving a quick, at-a-glance performance check. Caution - No technical tool is perfect; it cannot predict disasters, wars, or the actions of large fund managers or short sellers. - After testing thousands of TradingView indicators over 24 years, I’ve found none to be 100% accurate all the time. - This Buy/Sell Signals indicator may outperform some others but is still not perfect. So, just be aware, and don’t be fooled by this tool.
אינדיקטור Pine Script®
מאת ‎Wyn-Trader‎
Grok/Claude Quantum Signal Pro * Grok/Claude X Series*Grok/Claude Quantum Signal Pro This is a TradingView indicator focused on catching momentum reversals at price extremes, with a sophisticated divergence detection system as its standout feature. The "Quantum" branding is marketing flair — under the hood, it's a well-structured combination of momentum oscillators, volatility bands, and divergence analysis working together to identify high-probability turning points. Core Philosophy The indicator asks: "Is price at an extreme level where momentum is exhausted, and is there evidence that a reversal or continuation is likely?" It approaches this by requiring multiple confirming factors before generating a signal. Price must be at a band extreme, momentum indicators must be at extreme readings, and the market must be trending (not choppy). Optionally, it can also require RSI divergence and volume confirmation. The Dynamic Envelope Bands The foundation is an adaptive channel built around a moving average (EMA or SMA, user's choice). The bands extend above and below this centerline using ATR (Average True Range) multiplied by a dynamic factor. What makes these bands "adaptive" is that the multiplier adjusts based on ADX — when trends are stronger, the bands widen to accommodate larger directional moves. In weaker trend environments, the bands stay tighter. This helps the bands stay relevant across different market conditions rather than being too loose in quiet markets or too tight during volatile trends. The centerline itself is color-coded based on its slope: green when rising, red when falling, yellow when flat. This gives immediate visual feedback on short-term directional bias. The Multi-Layer Filter System Signals must pass through several filters before being displayed. Here's what each filter does: FilterWhat It ChecksDefault StateADX TrendingIs ADX above threshold (20)? Avoids signals in choppy, directionless marketsRequired (always on)RSI ExtremesIs RSI oversold (<30) for buys, overbought (>70) for sells?Required (always on)Fisher TransformIs Fisher below -2.0 for buys, above +2.0 for sells? Confirms momentum exhaustionRequired (always on)Trend AlignmentIs price above/below the trend EMA in the right direction?Optional (off by default)Volume SurgeIs current volume significantly above average?Optional (off by default)DivergenceIs there an active RSI divergence pattern?Optional (off by default) The Fisher Transform The Fisher Transform is a lesser-known oscillator that converts price into a Gaussian normal distribution, making extreme values much more pronounced. When Fisher readings hit +2.0 or -2.0, it indicates statistically significant momentum exhaustion. By requiring both RSI and Fisher to be at extremes simultaneously, the indicator filters out many false signals that would occur using just one oscillator. The Detrended Price Oscillator (DPO) The indicator also calculates DPO, which removes the trend component from price to show where current price sits relative to a historical average. This is displayed in the info panel as a percentage — positive values mean price is extended above its typical level, negative values mean it's extended below. This helps gauge how "stretched" price is from its mean. RSI Divergence Detection — The Core Feature This is where the indicator really shines. It detects both regular divergences (reversal signals) and hidden divergences (continuation signals). Regular Divergences Regular divergences suggest potential reversals: Regular Bullish Divergence: Price makes a lower low, but RSI makes a higher low. This indicates that despite price falling further, selling momentum is actually weakening — a potential bottom signal. These are marked with cyan/light blue solid lines on the chart. Regular Bearish Divergence: Price makes a higher high, but RSI makes a lower high. Despite price rising further, buying momentum is weakening — a potential top signal. Also marked with cyan solid lines. Hidden Divergences Hidden divergences suggest trend continuation (often overlooked by traders): Hidden Bullish Divergence: Price makes a higher low, but RSI makes a lower low. The uptrend is healthy (higher lows in price), but RSI dipped lower, creating a "hidden" bullish setup that often precedes another leg up. Marked with purple dashed lines. Hidden Bearish Divergence: Price makes a lower high, but RSI makes a higher high. The downtrend structure is intact, but RSI bounced higher, suggesting another leg down is coming. Also marked with purple dashed lines. The divergence detection uses pivot points (local highs and lows) to identify the comparison points. Users can adjust the pivot lookback (how many bars to use for pivot identification) and the maximum lookback window for finding divergence pairs. Signal Generation Logic A buy signal fires when all these conditions align: Market is trending (ADX above threshold) RSI is in oversold territory (below 30) Fisher Transform is oversold (below -2.0) Plus any optional filters that are enabled A sell signal requires the mirror conditions: trending market, overbought RSI (above 70), and overbought Fisher (above +2.0). There's also a cooldown mechanism requiring at least 5 bars between signals to prevent clustering. Visual Elements The indicator provides layered visual information: Adaptive bands with color-coded centerline (green/red/yellow based on slope) Cloud fill between bands, colored by trend direction Signal arrows (triangles) at entry points Price labels showing exact entry price at each signal Divergence lines connecting the pivot points that form the divergence pattern Divergence labels ("REG BULL", "HID BEAR", etc.) with tooltips explaining what each pattern means Info panel showing current status of all indicators and any active divergences The Info Panel The top-right panel displays real-time status for all the indicator components. Each row is color-coded to show whether that factor is currently bullish, bearish, or neutral. The last two rows specifically track whether regular and hidden divergences are currently active, making it easy to see at a glance if a divergence pattern has recently formed. Alert System The indicator includes a comprehensive alert system covering not just buy/sell signals, but also "setup building" conditions (when RSI and Fisher are at extremes but ADX hasn't confirmed yet), market regime changes (trending to ranging and vice versa), and individual divergence detections for all four types. Summary This indicator is designed for traders who want to catch reversals at price extremes with multiple layers of confirmation. Its strength lies in the divergence detection system, which identifies both potential reversals and trend continuation setups. The modular filter system lets users dial in their preferred level of strictness — from the default configuration that requires just the core filters, to a highly selective mode requiring trend alignment, volume confirmation, and divergence all at once. It's best suited for swing trading or identifying key turning points on higher timeframes.
אינדיקטור Pine Script®
מאת ‎ralis24‎
Grok/Claude AI Neural Fusion Pro * Grok/Claude X SeriesGrok/Claude AI Neural Fusion Pro This is a TradingView indicator that combines multiple technical analysis methods into a unified scoring system to identify trading opportunities. Despite the "Neural" and "AI" branding, it's not actually using machine learning — it's a sophisticated blend of traditional indicators weighted together to produce a single decision-aiding score. Core Philosophy The indicator attempts to answer the question: "How bullish or bearish is the current market environment, and when should I consider entering a trade?" It does this by calculating a "GXS Score" (ranging from -1 to +1) that aggregates five different market dimensions: trend strength, momentum, volume, price structure, and price action quality. Each dimension contributes to the final score based on user-defined weights. The Dynamic Bands System Rather than using standard Bollinger Bands, this indicator creates adaptive bands that expand and contract based on market conditions. The bands are built around a midpoint calculated from Heikin Ashi candles (smoothed price bars that filter out noise), then extended outward using ATR (Average True Range) multiplied by a dynamic factor. What makes these bands "dynamic" is that the multiplier adjusts based on two factors: the Chaikin Oscillator (which measures buying/selling pressure through accumulation/distribution) and ADX (trend strength). When there's strong directional pressure or a powerful trend, the bands widen to accommodate larger price swings. In quieter markets, they tighten. The Five Scoring Components The GXS Score is built from five weighted components: ComponentDefault WeightWhat It MeasuresTrend Strength30%ADX direction and magnitude — is there a real trend, and which way?Momentum25%RSI, MACD, Stochastic, CCI, Rate of Change, plus divergence detectionVolume20%On-Balance Volume slope and whether volume confirms price movementPrice Structure15%Where price sits within the bands, plus volatility regimePrice Action10%Ratio of bullish vs bearish candles over recent bars Trend Strength Component This component only contributes to the score when ADX indicates a trending market (above the threshold, default 24). If DI+ exceeds DI-, the score tilts bullish; if DI- dominates, it tilts bearish. In ranging markets, this component essentially zeros out, preventing false trend signals during choppy conditions. Momentum Component This is the most complex component, combining six sub-indicators. RSI is normalized around the 50 level. MACD histogram is standardized against its own volatility. Stochastic and CCI contribute bonus points at extreme levels (oversold/overbought). Rate of Change adds directional bias for strong moves. Finally, divergence detection looks for situations where price makes new highs/lows but RSI doesn't confirm — a classic reversal warning. Volume Component The indicator tracks On-Balance Volume (a cumulative measure of buying vs selling pressure) and compares it to its moving average. When OBV is rising above its average during an uptrend, that's confirmation. The volume rate of change also contributes — surging volume adds conviction to signals. Price Structure Component This measures where the current price sits within the dynamic bands. If price is in the bottom 20% of the band range, that's bullish (potential bounce zone). If it's in the top 20%, that's bearish (potential resistance). The component also factors in volatility regime — low volatility environments get a slight bullish bias (breakouts tend to follow compression), while high volatility gets a bearish bias (exhaustion risk). Price Action Component A simple measure of recent candle character. If 70%+ of the last 10 candles were bullish (closed higher than they opened), the score tilts positive. Heavy bearish candle dominance tilts it negative. Signal Generation Buy and sell signals are generated when price touches or breaches the dynamic bands, but only if several filters pass: ADX Filter (optional): Requires the market to be trending, avoiding signals in choppy conditions RSI Filter (optional): For buys, RSI must be oversold (below 30); for sells, RSI must be overbought (above 70) Cooldown Period: Prevents signal spam by requiring a minimum number of bars between signals (default 6) The indicator also tracks "zones" based purely on the GXS Score. When the score exceeds the buy threshold (default 0.12) during a trending market, a green cloud appears between the bands. When it drops below the sell threshold (default -0.12), a red cloud appears. These zones indicate favorable conditions even without a specific band-touch signal. Trend Strength Meter Separate from the GXS Score, the indicator calculates a "Trend Strength" percentage (0-100%) displayed in the info table. This combines ADX strength (40% weight), slope consistency (30% — how steady is the price direction), volume alignment (20% — is volume confirming the move), and momentum agreement (10% — are multiple indicators pointing the same direction). This helps traders gauge how reliable the current trend is. Visual Elements The indicator provides multiple visual layers that can be toggled on or off: Dynamic bands (blue midline, red upper, green lower) Signal clouds between the bands when in buy/sell zones Background shading indicating bullish (green) or bearish (red) regime Triangle arrows at signal points with configurable sizes Price labels showing exact entry prices at signals ADX strength dots at the bottom (white = weak, orange = moderate, blue = strong) Info table with current readings for all key metrics Debug panel (optional) showing individual component scores Summary This is essentially a "committee voting" system where multiple technical indicators each cast votes on market direction, and those votes are weighted and summed into a single score. The dynamic bands provide context for where price is relative to recent volatility, while the various filters help avoid low-quality signals. It's designed for traders who want a synthesized view of market conditions rather than watching a dozen separate indicators.
אינדיקטור Pine Script®
מאת ‎ralis24‎
4
Grok/Claude MoneyLine Fusion * Grok/Claude X SeriesMoneyLine Fusion Indicator This is a technical analysis indicator designed to help traders identify potential buy and sell opportunities in the market. It combines several well-known trading concepts into one unified tool, displaying visual bands on the chart and generating signals when multiple conditions align. The Core Concept: The "Money Line" At the heart of this indicator is something called the Money Line, which is essentially a smoothed trend line calculated using linear regression over the last 16 bars (by default). Think of it as a "best fit" line through recent prices that shows you the general direction the market is heading. The indicator colors this line green when the trend is rising, red when it's falling, and yellow when it's essentially flat or undecided. The Dynamic Bands Surrounding the Money Line are upper and lower bands that expand and contract based on market volatility. These bands use the ATR (Average True Range) to measure how much the price typically moves. Here's where it gets clever: the bands also factor in the ADX indicator (which measures trend strength). When the market is trending strongly, the bands widen more aggressively to account for bigger price swings. When the trend is weak, they stay tighter. This adaptive behavior helps the indicator adjust to different market conditions automatically. The area between the bands is shaded in the trend color (green, red, or yellow) to give you a quick visual of the current market bias. How Buy and Sell Signals Are Generated The indicator doesn't just look at one thing — it requires multiple conditions to align before triggering a signal. This is designed to filter out false signals and only alert you when several factors agree. Signal TypeRequired ConditionsBUYFisher Transform is below -2.0 (oversold), Aroon Up is low (below 20), Aroon Down is high (above 80), and optionally a positive TA ScoreSELLFisher Transform is above +2.0 (overbought), Aroon Up is high (above 80), Aroon Down is low (below 20), and optionally a negative TA Score Fisher Transform is a mathematical technique that converts price data into a bell curve distribution, making extreme readings (overbought/oversold) easier to spot. Aroon measures how long it's been since the highest high or lowest low. When Aroon Down is high and Aroon Up is low, it suggests recent price action has been dominated by lows — a potential reversal setup for a buy. The indicator also prevents signal spam by requiring at least 5 bars between signals of the same type. The TA Scoring System Behind the scenes, the indicator calculates a composite score based on four different technical indicators: MACD — Momentum and trend direction (scores -2 to +2) DMI — Directional movement comparing buyers vs sellers (scores -2 to +2) MFI — Money Flow Index, similar to RSI but incorporates volume (scores -2 to +2) RSI — Classic overbought/oversold measure (scores -1 to +1) These scores are added together, and the result is displayed in the info panel with labels like "very bullish," "slightly bearish," or "neutral." You can optionally require a minimum TA score before signals trigger, adding another layer of confirmation. Visual Display Elements The indicator offers several optional display features: Shaded bands between upper and lower lines Buy/Sell labels directly on the chart showing the entry price Bright blue candle highlighting when a signal fires Info panel in the corner showing the Money Line value, volatility percentile, RSI, and TA score Score dots at the bottom of the chart (green for bullish, red for bearish, yellow for neutral) Debug table for troubleshooting that shows real-time values of Fisher, Aroon, and signal conditions In Summary This indicator is essentially a multi-factor confirmation system. Rather than relying on a single indicator that might give many false signals, it waits until the trend direction (Money Line), momentum extremes (Fisher Transform), price cycle position (Aroon), and overall technical picture (TA Score) all point in the same direction. The adaptive bands help visualize where price "should" be trading given current volatility and trend strength. It's designed for traders who prefer fewer but higher-conviction signals.
אינדיקטור Pine Script®
מאת ‎ralis24‎
Grok/Claude AI Regime Engine • Grok/Claude X SeriesGrok/Claude AI Regime Engine This is a TradingView indicator designed to identify market regimes (bullish, bearish, or neutral) and generate buy/sell signals based on multiple technical factors working together. Core Concept At its heart, this indicator tries to answer a simple question: "What kind of market are we in right now, and when should I consider buying or selling?" It does this by blending several well-known technical analysis tools into a unified system. Think of it as a dashboard that synthesizes multiple indicators into clear, actionable information. How It Determines Market Regime The indicator creates what it calls a "Money Line" by combining two exponential moving averages (EMAs) — a fast one (default 8 periods) and a slow one (default 24 periods). These are weighted together, with the fast EMA getting 60% influence by default. This blended line serves as the primary trend reference. Bullish regime is declared when the short EMA crosses above the long EMA, provided the RSI isn't already in overbought territory. Bearish regime kicks in when the opposite happens — short EMA crosses below long, as long as RSI isn't oversold. Neutral regime occurs when the indicator detects sideways, choppy conditions. The neutral detection is particularly interesting. It uses two optional methods: one looks at how flat the Money Line's slope is (compared to recent volatility via ATR), and the other checks how close together the two EMAs are as a percentage of price. When the market is grinding sideways, these methods help the indicator avoid falsely calling a trend. Signal Generation Logic Buy and sell signals are generated using Donchian Channel breakouts as the trigger mechanism. The Donchian Channel tracks the highest high and lowest low over a lookback period (default 20 bars), using the previous bar's values to avoid repainting issues. A buy signal fires when price touches or breaks below the lower Donchian band, suggesting a potential reversal from oversold conditions. A sell signal fires when price reaches the upper band. However, these raw breakout signals pass through several filters before being displayed: FilterPurposeADX thresholdOnly signals when the market has sufficient trend strength (default: ADX > 25)RSI filterBuy signals require RSI to be oversold; sell signals require overbought RSICooldown periodPrevents signal spam by requiring a minimum number of bars between signalsClose confirmationOptional setting to require a candle close beyond the band, not just a wick Additional Metrics Displayed The indicator calculates and displays several supplementary metrics in an information panel. ADX (Average Directional Index) measures trend strength — values below 15 suggest a weak, ranging market, while above 25 indicates a strong trend. The colored dots at the bottom of the chart reflect this: white for weak, orange for moderate, blue for strong. BBWP (Bollinger Band Width Percentile) measures current volatility relative to historical volatility over roughly a year of data. High readings suggest volatility expansion; low readings suggest compression, which often precedes significant moves. Alerts and Notifications The indicator generates alerts in two scenarios: when the market regime changes (bullish to bearish, etc.) and when buy/sell signals trigger. Alert messages include the ticker symbol, timeframe, current price, RSI, ADX, and other relevant context so you can quickly assess the situation without opening the chart. Visual Customization Users can toggle various display elements on or off, including the EMA lines, Donchian bands, shaded regime zones between the bands, and price labels at signal points. The shading between the upper and lower bands changes color based on the current regime — green for bullish, magenta for bearish, and blue for neutral — providing an at-a-glance view of market conditions over time. Summary This is essentially a trend-following system with mean-reversion entry signals, filtered by momentum and trend strength indicators. It's designed to help traders identify favorable market conditions and time entries while avoiding signals during choppy, directionless periods. The multiple confirmation layers aim to reduce false signals, though like any technical system, it will still produce losing trades in certain market conditions.
אינדיקטור Pine Script®
מאת ‎ralis24‎
RC - Crypto Scalper v3Cryptocurrency scalping strategy for perpetual futures with risk management and automation capabilities. ## Strategy Overview This strategy identifies high-probability scalping opportunities in cryptocurrency perpetual futures markets using adaptive position sizing, dynamic stop losses, and intelligent exit management to maintain consistent risk-adjusted returns across varying market conditions. ## Technical Foundation The strategy employs exponential moving averages for trend detection, Bollinger Bands for volatility measurement and mean reversion signals, RSI for momentum confirmation and overbought/oversold conditions, ATR for dynamic volatility-based stop placement, and VWAP for institutional price level identification. These technical indicators are combined with volume analysis and optional multi-timeframe confirmation to filter low-probability setups. ## Entry Methodology The strategy identifies trading opportunities using three complementary approaches that can be enabled individually or in combination: Momentum-Based Entries: Detects directional price movements aligned with short-term and intermediate-term trend indicators, with momentum oscillator confirmation to avoid entries at exhaustion points. Volume analysis provides additional confirmation of institutional participation. Mean Reversion Entries: Identifies price extremes using statistical volatility bands combined with momentum divergence, targeting high-probability reversal zones in ranging market conditions. Entries require initial price structure confirmation to reduce false signals. Institutional Flow Entries: Monitors volume-weighted price levels to identify areas where institutional orders are likely concentrated, entering on confirmed breaks of these key levels with supporting directional bias from trend indicators. Each methodology uses distinct combinations of the technical indicators mentioned above, with specific parameter relationships and confirmation requirements that can be customized based on trader preference and market conditions. ## Exit Framework Adaptive Stop Loss: Uses ATR-based stops (default 0.7x multiplier on 14-period ATR) that automatically adjust to current market volatility. Stop distance expands during volatile periods to avoid premature stops while tightening during consolidation to protect capital. Alternative percentage-based stops available for traders preferring fixed-distance risk management. Trailing Profit System: Employs a dual-target exit approach combining fixed limit orders with dynamic trailing stops. The system activates trailing stops when positions reach profitable thresholds, allowing winning trades to capture extended moves while protecting accumulated gains. The high fixed limit (6R default) serves as a ceiling for exceptional moves while the trailing mechanism handles the majority of exits at optimal profit levels. Time-Based Management: Implements maximum holding period constraints (50 bars default) to prevent capital from being trapped in directionless price action. This ensures consistent capital turnover and prevents the strategy from holding through extended consolidation periods. Breakeven Protection: Automatically adjusts stop loss to entry price plus commission costs once trades reach predefined profit thresholds (0.7R default), eliminating downside risk on positions that have demonstrated directional follow-through. ## Risk Management Position Sizing: Dynamic position sizing based on account equity percentage risk model (2% default). Calculates optimal position size based on entry price, stop distance, and account risk tolerance. Includes maximum position exposure caps and minimum position size thresholds to ensure practical trade execution. Daily Loss Limits: Automatic trading suspension when intraday losses exceed configured threshold (5% of equity default). Prevents catastrophic drawdown days and removes emotional decision-making during adverse market conditions. Resets automatically at the start of each new trading day. Leverage Controls: Comprehensive leverage monitoring with built-in liquidation protection for margined positions. Strategy calculates liquidation prices based on leverage settings and automatically closes positions approaching critical margin levels, preventing forced liquidations. Exposure Management: Multiple layers of position size controls including maximum position value as percentage of equity (50% default), leverage-adjusted margin requirements, and minimum capital availability thresholds before opening new positions. ## Market Filters Session-Based Filtering: Configurable trading windows for Asian (00:00-08:00 UTC), London (08:00-16:00 UTC), and New York (13:00-21:00 UTC) sessions. Allows traders to focus on specific market hours or avoid illiquid periods based on their asset and trading style. Volatility Requirements: Minimum and maximum ATR percentage thresholds ensure strategy only operates within optimal volatility ranges. Prevents trading during both insufficient movement periods and extreme volatility events where execution quality deteriorates. Trend Alignment: Optional higher timeframe trend filter ensures directional bias aligns with broader market structure, reducing counter-trend entries during strong directional moves. Volume Confirmation: Configurable volume requirements for entry validation, ensuring sufficient market participation and reducing false signals during low-liquidity periods. ## Automation Support Built-in webhook integration generates JSON payloads compatible with popular broker automation platforms. Alert system provides comprehensive notifications for all entry signals, exit executions, risk limit breaches, and daily trading status updates. Supports both automated and manual execution workflows. ## Settings Explanation Initial Capital: $5,000 Selected as realistic starting point for retail traders entering crypto futures markets. Strategy scales proportionally - larger accounts show similar percentage returns with proportionally larger absolute gains and position sizes. Risk Per Trade: 2% Conservative default providing significant drawdown tolerance. With 51% historical win rate and positive expectancy, risking 2% per trade allows for extended losing streaks without account impairment. Adjustable from 0.5% (very conservative) to 5% (aggressive, experienced traders only). Leverage: 10x Standard cross-margin leverage for cryptocurrency perpetual futures. Combined with 2% risk setting and maximum 50% equity position size caps, actual exposure remains controlled despite leverage. Built-in liquidation protection provides additional safety layer. Commission: 0.055% Modeled on major exchange maker fee structures (Bybit, Binance Futures). **Slippage: 50 ticks** Ultra-conservative slippage assumption representing extreme worst-case execution scenarios. ETH perpetual tick size is $0.01, therefore 50 ticks equals $0.50 per side or $1.00 round trip slippage per trade. Real-world slippage on 30-minute timeframe typically ranges from 2-5 ticks ($0.02-0.05 round trip) under normal conditions, with 10-20 ticks during highly volatile periods. The 50-tick setting assumes every single trade executes during extreme market stress conditions. This ultra-conservative modeling approach means real-world trading performance under typical market conditions may exceed backtest results, as the strategy has been tested under punishing execution cost assumptions that represent worst-case scenarios rather than expected outcomes. Stop Loss: ATR-based (0.7x multiplier) Volatility-adaptive stops optimized for 30-minute cryptocurrency perpetuals. The 0.7x multiplier balances protection against premature stops due to normal market noise. Lower multipliers (0.5-0.6x) suitable for lower timeframes, higher multipliers (0.8-1.2x) for higher timeframes. Take Profit: 6R (Risk:Reward) High target designed to work in conjunction with trailing stop system rather than as primary exit mechanism. Historical analysis shows most profitable trades exit via trailing stops at lower multiples, with the 6R limit capturing occasional extended moves. This configuration allows the trailing stop system to operate optimally while providing upside capture on exceptional price runs. Trailing Stop: Activates at 1R | Offset 0.5R Trailing mechanism engages when position reaches 1:1 risk-reward, then maintains 0.5R distance from peak favourable price. This configuration allows profitable trades room to develop while protecting accumulated gains from reversals. Maximum Holding Period: 50 bars Automatic exit trigger after 50 bars (25 hours on 30-minute timeframe) prevents capital commitment to non-trending price action. Adjustable based on timeframe and trading style preferences. ## Backtest Performance Test Period: November 2023 - November 2025 (2 years) Asset: ETH/USDT Perpetual Futures Timeframe: 30 minutes Initial Capital: $5,000 Performance Metrics: - Final Equity: $25,353.99 - Net Profit: $20,353.99 - Total Return: 407.08% - Annualized Return: ~204% - Total Trades: 2,549 - Winning Trades: 1,308 (51.28%) - Losing Trades: 1,241 (48.72%) - Profit Factor: 1.215 - Sharpe Ratio: 0.813 - Sortino Ratio: 6.428 - Maximum Drawdown: 11.53% - Average Drawdown: <2% Trade Statistics: - Average Win: 1.15% per trade - Average Loss: -0.98% per trade - Win/Loss Ratio: 1.17:1 - Largest Win: 7.14% - Largest Loss: -2.31% - Average Trade Duration: ~8 hours - Trades Per Month: ~106 Cost Analysis: - Total Commission Paid: $21,277.06 - Commission as % of Gross Profit: 18.5% - Modeled Slippage Impact: $2,549.00 (50 ticks per trade) - Total Trading Costs: $23,826.06 - Net Profit After All Costs: $20,353.99 Risk-Adjusted Performance: - Return/Max DD Ratio: 35.3 - Profit Per Trade: $7.98 average - Risk of Ruin: <0.001% (with 2% risk, 51% win rate, 1.17 R:R) ## Bear Market Validation To validate robustness across different market conditions, the strategy was additionally tested during the 2022 cryptocurrency bear market: Test Period: May 2022 - November 2022 (7 months) Market Conditions: ETH declined 57% (from ~$2,900 to ~$1,200) Bear Market Results: - Net Profit: $4,959.69 - Return: 99.19% - Total Trades: 845 - Win Rate: 51.72% - Maximum Drawdown: 18.54% - Profit Factor: 1.235 - Outperformance vs Buy & Hold: +156.3% The strategy demonstrated profitable performance during severe market decline, with short positions showing particular strength (54.1% win rate on shorts vs 49.4% on longs). This validates that the edge is not dependent on bullish market conditions and the multiple entry methodologies adapt naturally to different market environments. ## Recommended Usage Optimal Timeframes: - Primary: 30-minute (tested and optimized) - Alternative: 1-hour (more selective, fewer trades) - Not recommended: <15-minute (execution quality deteriorates) Suitable Assets: High-liquidity cryptocurrency perpetual futures recommended: - BTC/USDT (>$2B daily volume) - ETH/USDT (>$1B daily volume) - SOL/USDT, AVAX/USDT (>$100M daily volume) - Avoid low-liquidity pairs (<$50M daily volume) Risk Configuration: - Conservative: 1-1.5% per trade - Moderate: 2-3% per trade (default: 2%) - Aggressive: 3-5% per trade (requires discipline) ## Important Considerations Backtesting vs Live Trading: Always paper trade first. Real-world results vary based on execution quality, broker-specific factors, network latency, and individual trade management decisions. Backtest performance represents historical simulation with ultra-conservative cost assumptions, not guaranteed future results. Market Conditions: Strategy designed for liquid, actively-traded markets. Performance characteristics: - Strong trends: Optimal (trailing stops capture extended moves) - Ranging markets: Moderate (mean reversion component provides edge) - Low volatility: Reduced (ATR filter prevents most entries) - Extreme volatility: Protected (maximum volatility filter prevents entries) Cost Impact: Commission represents approximately 18.5% of gross profit in backtests. The 50-tick slippage assumption is deliberately punitive - typical execution will likely be 5-10x better (2-10 ticks actual vs 50 ticks modeled), meaning real-world net results may significantly exceed backtest performance under normal market conditions. Execution Quality: 30-minute timeframe provides sufficient time for order placement and management. Automated execution recommended for consistency. Manual execution requires discipline to follow signals without hesitation or second-guessing. Starting Procedures: 1. Run backtest on your specific asset and timeframe 2. Paper trade for minimum 50 trades or 2 weeks 3. Start with minimum position sizes (0.5-1% risk) 4. Gradually scale to target risk levels as confidence builds 5. Monitor actual execution costs vs backtest assumptions ## Strategy Limitations - Requires liquid markets; performance degrades significantly on low-volume pairs - No built-in news event calendar; traders should manually avoid scheduled high-impact events - Weekend/holiday trading may experience wider spreads and different price behaviour - Does not model spread costs (assumes mid-price fills); add 1-2 ticks additional cost for market orders - Performance during market structure changes (regime shifts) may differ from backtest period - Requires consistent monitoring during active trading hours for optimal automated execution - Slippage assumptions are deliberately extreme; actual slippage will typically be much lower ## Risk Disclosure Cryptocurrency trading involves substantial risk of loss. Leverage amplifies both gains and losses. This strategy will experience losing streaks and drawdowns. The 11.53% maximum historical drawdown in bull market testing and 18.54% in bear market testing do not represent ceilings - larger drawdowns are possible and should be expected in live trading. Past performance does not guarantee future results. Market conditions evolve, and historical edge may diminish or disappear. No strategy works in all market conditions. The strategy has been tested with extremely conservative slippage assumptions (50 ticks per trade) that significantly exceed typical execution costs; this provides a safety margin but does not eliminate risk. Capital at Risk: Only trade with capital you can afford to lose completely. The strategy's positive historical performance across both bull and bear markets does not eliminate the possibility of significant losses or account impairment. Not Financial Advice: This strategy is an educational tool, not investment advice. Users are solely responsible for their trading decisions, risk management, and outcomes. The developer assumes no liability for trading losses. Leverage Warning: Trading with leverage can result in losses exceeding initial investment. Ensure you understand leverage mechanics and liquidation risks before using leveraged products. ## Technical Requirements - TradingView Premium subscription (for strategy testing and alerts) - Understanding of risk management principles - Familiarity with perpetual futures mechanics - Broker account supporting crypto perpetuals (if trading live) - For automation: Webhook-compatible execution platform ## Version History v3.0 - November 2025 (Initial Release) - Multi-methodology entry system (Momentum, Mean Reversion, VWAP) - Comprehensive risk management framework - Adaptive exit system with trailing stops - Session and volatility filtering - Webhook automation support - Validated across bull market (2024-25) and bear market (2022) periods - Tested with ultra-conservative 50-tick slippage assumptions Disclaimer: This strategy is provided "as-is" for educational purposes. Past performance does not indicate future results. All backtests conducted with 50-tick slippage (ultra-conservative assumptions). Actual trading costs typically significantly lower. Trade responsibly and at your own risk.
אסטרטגיית Pine Script®
מאת ‎RealisticCrypto1‎
Displacement Intelligence Channel (DIC) @darshaksscThe Displacement Intelligence Channel (DIC) is a clean, minimal, non-repainting analytical tool designed to help traders observe how price behaves around its dynamic equilibrium. It does not generate buy/sell signals, does not predict future price movement, and should not be interpreted as financial advice. All calculations are based strictly on confirmed historical bars. ⭐ What This Indicator Does Price constantly fluctuates between expansion (large moves) and compression (small moves). The DIC analyzes these changes through: Displacement (how far price moves per bar) ATR response (how volatility reacts over time) Dynamic width calculation (channel widens or tightens as volatility changes) EMA-based core midline (a smooth equilibrium reference) The result is a smart two-line channel that adapts to market conditions without cluttering the chart. This is NOT a fair value gap, moving average ribbon, or premium/discount model. It is a purely mathematical displacement-ATR engine. ⭐ How It Works The indicator builds three elements: 1. Intelligence Midline A smooth EMA that acts as the channel’s core “equilibrium.” It gives a stable reference of where price is gravitating during the current session or trend. 2. Adaptive Upper Boundary Calculated using displacement + ATR. When volatility increases, the channel expands outward. When volatility compresses, the channel tightens. 3. Adaptive Lower Boundary Mirrors the upper boundary. Also expands and contracts based on market conditions. All lines update only on confirmed bar closes, keeping the script non-repainting. ⭐ What to Look For (Purely Analytical) This indicator does not imply trend continuation, reversal, or breakout. Instead, here’s what traders typically observe: 1. Price Reactions Around the Midline Price often oscillates around the midline during equilibrium phases. Strong deviation from the midline highlights expansion or momentum phases. 2. Channel Expansion / Contraction Wider channel → increased volatility, displacement, and uncertainty Tighter channel → compression and calm conditions Traders may use this for context only — not for decision-making. 3. Respect of Channel Boundary When market structure respects the upper/lower channel lines, it simply indicates volatility boundaries, not overbought/oversold conditions. ⭐ How to Add This Indicator Open TradingView Select any chart Click Indicators → Invite-Only Scripts / My Scripts Choose “Displacement Intelligence Channel (DIC)” The channel will appear automatically on the chart ⭐ Recommended Settings (Optional) These settings do not change signals (because the indicator has none). They only adjust sensitivity: Center EMA Length (default 34) Smoother or faster midline Displacement Lookback (default 21) Controls how much recent displacement affects width ATR Lookback (default 21) Governs how volatility is interpreted Min/Max Multipliers Limits how tight or wide the channel can expand Adjust them cautiously for different timeframes or asset classes. ⭐ Important Notes This tool is non-repainting It does not use future data It does not repaint previous channel widths It follows TradingView House Rules It contains no signals, no alerts, and no predictions The DIC is designed for visual context only and should be used as an analytical overlay, not as a stand-alone decision tool. ⭐ Disclaimer This script is strictly for informational and educational purposes only. It does not provide or imply any trading signals, financial advice, or expected outcomes. Always do your own research and consult a licensed financial professional before making trading decisions.
אינדיקטור Pine Script®
מאת ‎darshakssc‎
HD Trades📊 ICT Confluence Toolkit (FVG, OB, SMT) This All-in-One indicator is designed for Smart Money Concepts (SMC) traders, providing visual confirmation and signaling for three critical Inner Circle Trader (ICT) tools directly on your chart: Fair Value Gaps (FVG), Order Blocks (OB), and Smart Money Technique (SMT) Divergence. It eliminates the need to load multiple indicators, streamlining your analysis for high-probability setups. 🔑 Key Features 1. Fair Value Gaps (FVG) Automatic Detection: Instantly highlights bullish (buy-side) and bearish (sell-side) imbalances using the standard three-candle pattern. Real-Time Mitigation: Gaps are drawn until price trades into the FVG zone, at which point the indicator automatically "mitigates" and removes the box, ensuring your chart stays clean. 2. Order Blocks (OB) Impulse-Based Logic: Identifies valid Order Blocks (the last opposing candle) confirmed by a strong, structure-breaking impulse move, quantified using an Average True Range (ATR) multiplier for dynamic sensitivity. Mitigation Tracking: Bullish OBs are tracked until broken below the low, and Bearish OBs until broken above the high, distinguishing between active supply/demand zones. 3. SMT Divergence (Smart Money Technique) Multi-Asset Comparison: Utilizes the Pine Script request.security() function to compare the swing structure of the current chart against a correlated asset (e.g., EURUSD vs. GBPUSD, or ES vs. NQ). Signal Labels: Plots clear 🐂 SMT (Bullish) or 🐻 SMT (Bearish) labels directly on the chart when a divergence in market extremes is detected, signaling a potential reversal or continuation based on internal market weakness. ⚙️ Customization All three components are toggleable and feature customizable colors and lookback periods, allowing you to fine-tune the indicator to your specific trading strategy and preferred timeframes. Crucial Setup: For SMT Divergence to function, you must enter a correlated symbol (e.g., NQ1!, ES1!, or a related Forex pair) in the indicator settings.
אינדיקטור Pine Script®
מאת ‎harmanbhangu4‎
Daily 12/21 EMA OverlayDaily 12/21 EMA Overlay This indicator projects the daily 12 and 21 EMAs onto any timeframe as a soft, semi-transparent band. It is designed to give a constant higher-timeframe bias and dynamic support/resistance reference while you execute your systems on lower timeframes (4H, 1H, 15m, etc.). The script uses request.security() to calculate the 12/21 EMAs on the daily chart only, then overlays those values on your current timeframe without recalculating them locally. This means the band always represents the true daily 12/21 EMAs, regardless of the chart you are viewing. Key Features: Fixed daily 12/21 EMA band, visible on all timeframes Faded lines and fill to keep focus on your active intraday tools Simple, minimal inputs (fast length, slow length, colors, band visibility) Ideal as a higher-timeframe “backdrop” for systems built around EMA trend, rejections, or liquidity sweeps How to Use Add the indicator on any symbol and timeframe Keep your normal intraday EMAs (e.g., EMA 12/21) for execution Note: You can change the bands to not just be 12 or 21, you can change them if needed for your own systems or emas that you use. This tool is intentionally lightweight: it does one job—showing the true daily EMA structure across all timeframes—and leaves trade execution logic to your primary system.
אינדיקטור Pine Script®
מאת ‎IsopodGod‎
J&A Sessions & NewsProject J&A: Session Ranges is a precision-engineered tool designed for professional traders who operate based on Time & Price. Unlike standard session indicators that clutter the chart with background colors, this tool focuses on Dynamic Price Ranges to help you visualize the Highs, Lows, and liquidity pools of each session. It is pre-configured for Frankfurt Time (Europe/Berlin) but is fully customizable for any global location. Key Features 1. Dynamic Session Ranges (The Boxes) Instead of vertical stripes, this indicator draws Boxes that encapsulate the entire price action of a session. Real-Time Tracking: The box automatically expands to capture the Highest High and Lowest Low of the current session. Visual Clarity: Instantly see the trading range of Asia, London, and New York to identify breakouts or range-bound conditions. 2. The "Lunch Break" Logic (Unique Feature) Institutional volume often dies down during lunch hours. This indicator allows you to Split the Session to account for these breaks. Enabled: The script draws two separate boxes (Morning Session vs. Afternoon Session), allowing you to see fresh ranges after the lunch accumulation. Disabled: The script draws one continuous box for the full session. 3. Manual High-Impact News Scheduler Never get caught on the wrong side of a spike. Since TradingView scripts cannot access live calendars, this tool includes a Manual Scheduler for risk management. Input: Simply input the time of high-impact events (e.g., CPI, NFP) from ForexFactory into the settings. Visual: A dashed line appears on the chart at the exact news time. Audio Alert: The system triggers an alarm 10 minutes before the event, giving you time to manage positions or exit trades. Default Configuration (Frankfurt Time) Asian Session: 01:00 - 10:00 (Lunch disabled) London Session: 09:00 - 17:30 (Lunch: 12:00-13:00) New York Session: 14:00 - 22:00 (Lunch: 18:00-19:00) How to Use Setup: Apply the indicator. The default timezone is Europe/Berlin. If you live elsewhere, simply change the "Your Timezone" setting to your local time (e.g., America/New_York), and the boxes will align automatically. Daily Routine: Check the economic calendar in the morning. If there is a "Red Folder" event at 14:30, open the indicator settings and enter 14:30 into the News Scheduler. Trade: Use the Session Highs and Lows as liquidity targets or breakout levels. Settings & Customization Timezone: Full support for major global trading hubs. Colors: Customize the Box fill and Border colors for every session. Labels: Rename sessions (e.g., "Tokyo" instead of "Asia") via the settings menu.
אינדיקטור Pine Script®
מאת ‎jaberahmadanb‎
CSP Institutional Filter PRO This indicator evaluates whether a ticker qualifies for a high-probability Cash-Secured Put (CSP) based on an institutional options-selling framework. It checks RSI, momentum, support levels, ATR-based risk, IVR, DTE, and earnings timing to determine if the setup meets either the Standard CSP Module (30–45 DTE) or the Pre-Earnings CSP Module (7–21 days before earnings). The script visually marks valid setups, highlights risk zones, and provides an on-chart diagnostic summary.
אינדיקטור Pine Script®
מאת ‎juliocesarconde‎