MarketStructureLab - SR Zones (Free)📌 MarketStructureLab — SR Zones is a structure-based indicator that automatically identifies key support and resistance zones using market structure logic, not subjective manual levels.
The indicator analyzes:
• local highs and lows (pivot points),
• clusters nearby price extremes,
• builds S/R zones based on their strength (number of price reactions).
🔍 What the indicator shows
• 🟢 Support zones — areas of increased demand
• 🔴 Resistance zones — areas of increased supply
• Price labels with level value and distance from the current price in %
The more reactions price has within a zone, the more significant it becomes.
⚙️ Key features
• Based on market structure, not fixed levels
• Works on any instrument (stocks, futures, crypto, FX)
• Suitable for all timeframes
• No repainting
• Supports alerts on level breaks
⚠️ Important
This indicator does not generate trade signals and does not make predictions.
It is designed to help traders analyze market context and make independent decisions.
Recommended to use with
• market state analysis (Trend / Range),
• volume,
• proper risk management.
📎 Updates and future developments
This indicator is part of the MarketStructureLab project.
Follow the author’s profile to stay updated on new tools and improvements.
אינדיקטורים ואסטרטגיות
Peak Rejection LevelsPeak Rejection Levels is a price-action–based indicator designed to automatically identify strong rejection levels at swing highs and swing lows.
It highlights areas where price attempted to move further but was firmly rejected, often acting as key support or resistance zones.
The indicator is especially useful for :
Intraday and swing trading
Identifying high-probability rejection zones
Support/resistance mapping based on pure price action
Confluence with trend, structure, or indicator-based strategies
📈 What Is a “Peak Rejection”?
A peak rejection is defined using strict price-action rules:
🔺 Swing High Rejection (Resistance)
A swing high is marked as a rejection when:
The candle is a confirmed swing high
The candle has an upper wick
The upper wick is larger than the candle body
The wick represents the highest price of the swing
This indicates strong selling pressure and rejection from higher prices
🔻 Swing Low Rejection (Support)
A swing low is marked as a rejection when:
The candle is a confirmed swing low
The candle has a lower wick
The lower wick is larger than the candle body
The wick represents the lowest price of the swing
This indicates strong buying pressure and rejection from lower prices
When these conditions are met, the indicator draws a horizontal level at the rejection wick.
🧠 Key Features
✅ Works on any timeframe
✅ Non-repainting (uses confirmed swings)
✅ Automatically removes broken levels
✅ Automatically removes old levels based on time
✅ Clean and uncluttered chart output
✅ Pure price-action logic (no indicators, no lag)
Moving Average Exponential//@version=6
indicator(title="Moving Average Exponential", shorttitle="EMA", overlay=true, timeframe="", timeframe_gaps=true)
len = input.int(9, minval=1, title="Length")
src = input(close, title="Source")
offset = input.int(title="Offset", defval=0, minval=-500, maxval=500, display = display.data_window)
out = ta.ema(src, len)
plot(out, title="EMA", color=color.blue, offset=offset)
// Smoothing MA inputs
GRP = "Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("None", "Type", options = , group = GRP, display = display.data_window)
var isBB = maTypeInput == "SMA + Bollinger Bands"
maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window, active = maTypeInput != "None")
bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window, active = isBB)
var enableMA = maTypeInput != "None"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(out, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(out, maLengthInput) * bbMultInput : na
plot(smoothingMA, "EMA-based MA", color=color.yellow, display = enableMA ? display.all : display.none, editable = enableMA)
bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none, editable = isBB)
Trade ChecklistICT trading checklist. This checklist helps you mark out confluences so you can rate the trade you're about to take and be able to decide if its a good trade or you should skip it. Enjoy
[COG] NautilusOverview
This indicator combines multiple technical analysis tools to identify high-probability entry points in trending markets. It uses moving average crossovers for trend direction, Bollinger Bands for mean reversion opportunities, and optional filters to reduce false signals and avoid choppy market conditions.
What Makes This Indicator Unique
Heiken Ashi Toggle:
All calculations can be performed on either regular or Heiken Ashi candles with a single click
Multi-Layer Filtering System: Four independent filters work together to improve signal quality
First Entry Detection: Automatically identifies and labels the first signal after a trend change
Anti-Overtrading Protection: Built-in cooldown mechanism prevents signal spam
Core Components
1. Trend Detection (EMA/SMA Crossover)
The indicator uses a 15-period EMA and 50-period SMA to determine market direction. Buy signals only occur when EMA > SMA, and sell signals only when EMA < SMA.
// Trend Detection
bullishTrend = ema15 > sma50
bearishTrend = ema15 < sma50
2. Bollinger Bands Mean Reversion
Entry signals trigger when price touches or penetrates the Bollinger Bands, indicating potential reversal or pullback opportunities within the established trend.
//Bollinger Band Touch Detection
lowerBandTouch = selectedLow <= bbLower
upperBandTouch = selectedHigh >= bbUpper
// Base Entry Conditions
baseBuySignal = bullishTrend and lowerBandTouch and bullishClose
baseSellSignal = bearishTrend and upperBandTouch and bearishClose
3. Candle Confirmation
Signals require a bullish candle close (close > open) for buy signals and bearish candle close (close < open) for sell signals, ensuring momentum alignment.
// Candle Close Type
bullishClose = selectedClose > selectedOpen
bearishClose = selectedClose < selectedOpen
Optional Filters (All Toggleable)
Filter 1: StochRSI Momentum
Ensures entries occur during oversold/overbought conditions. Buy signals require StochRSI < 20, sell signals require StochRSI > 80.
// StochRSI Calculation
rsi = ta.rsi(stochRSISource, rsiLength)
stochRSI_K = ta.sma(ta.stoch(rsi, rsi, rsi, stochRSILength), stochKSmooth)
// Filter Conditions
stochRSIOversoldCondition = stochRSI_K < stochRSIOversold
stochRSIOverboughtCondition = stochRSI_K > stochRSIOverbought
Filter 2: MA Separation (Anti-Chop)
Blocks signals when moving averages are too close together, indicating sideways/choppy market conditions. Default threshold is 1% separation.
// Calculate percentage separation between EMA and SMA
maSeparationPct = (math.abs(ema15 - sma50) / sma50) * 100
// MA separation filter condition
maSeparationValid = maSeparationPct >= maSeparationThreshold
Why this matters: When the 15 EMA and 50 SMA are very close (< 1% apart), the market is typically consolidating. Signals in these conditions have lower win rates.
Filter 3: Cooldown Period
Prevents over-trading by blocking new signals for a specified number of bars (default: 10) after a signal occurs. Buy and sell cooldowns are tracked separately.
// Variables to track the bar index of the last signal
var int lastBuySignalBar = na
var int lastSellSignalBar = na
// Calculate bars since last signal
barsSinceLastBuy = na(lastBuySignalBar) ? 999999 : bar_index - lastBuySignalBar
// Cooldown filter condition
buyCooldownValid = barsSinceLastBuy >= cooldownBars
// Update tracking when signal fires
if buySignal
lastBuySignalBar := bar_index
Advanced Features
Heiken Ashi Mode
Toggle between regular candles and Heiken Ashi candles for all calculations. Heiken Ashi candles smooth price action and can reduce false signals in volatile markets.
// Fetch Heiken Ashi OHLC values
= request.security(
ticker.heikinashi(syminfo.tickerid),
timeframe.period,
)
// Select which OHLC to use based on toggle
selectedClose = useHeikenAshi ? haClose : close
First Entry Detection
Automatically identifies and labels the first signal after a trend change with "1. Trend Cycle Entry" text. This helps traders distinguish between fresh trend entries and continuation signals.
// Detect trend changes
trendChangedToBullish = bullishTrend and not bullishTrend
// Reset tracking when trend changes
if trendChangedToBullish
hadBuySignalInCurrentBullTrend := false
// Identify first signal in new trend
isFirstBuyInTrendCycle = buySignal and not hadBuySignalInCurrentBullTrend
How Signals Are Generated
The indicator uses a layered approach where each condition must be satisfied:
// Apply all filters
buySignal = enableBuySignals and baseBuySignal and
(not enableStochRSIFilter or stochRSIOversoldCondition) and
(not enableMASeparationFilter or maSeparationValid) and
(not enableCooldownFilter or buyCooldownValid)
Buy Signal Requirements:
✅ 15 EMA above 50 SMA (bullish trend)
✅ Candle low touches or goes below lower Bollinger Band
✅ Candle closes bullish (green)
✅ (Optional) StochRSI < 20
✅ (Optional) MA separation > threshold %
✅ (Optional) Cooldown period expired
Sell Signal Requirements:
✅ 15 EMA below 50 SMA (bearish trend)
✅ Candle high touches or goes above upper Bollinger Band
✅ Candle closes bearish (red)
✅ (Optional) StochRSI > 80
✅ (Optional) MA separation > threshold %
✅ (Optional) Cooldown period expired
Customization Options
Moving Averages:
Adjustable EMA length (default: 15)
Adjustable SMA length (default: 50)
Source selection (Close, Open, High, Low, HL2, HLC3, OHLC4)
Bollinger Bands:
Adjustable length (default: 20)
MA type selection (SMA, EMA, SMMA, WMA, VWMA)
Adjustable standard deviation multiplier (default: 2.0)
StochRSI Filter:
Adjustable RSI length (default: 14)
Adjustable Stochastic length (default: 14)
Customizable oversold/overbought levels (default: 20/80)
MA Separation Filter:
Adjustable minimum separation percentage (default: 1.0%)
Cooldown Filter:
Adjustable cooldown period in bars (default: 10)
Visual Settings:
Customizable colors for all elements
Adjustable line widths
Toggle first entry labels on/off
How to Use
Basic Setup: Apply the indicator to your chart. By default, it shows moving averages, Bollinger Bands, and entry signals.
Choose Your Mode: Enable Heiken Ashi mode if you prefer smoother signals and are willing to accept some lag.
Enable Filters: Start with all filters disabled to see raw signals. Then enable filters one by one:
Start with MA Separation filter to avoid choppy markets
Add StochRSI filter to catch better momentum conditions
Add Cooldown filter to prevent over-trading
Adjust Parameters: Tune the parameters based on your timeframe and trading style:
Lower timeframes: Consider shorter cooldown periods
Higher timeframes: May want tighter MA separation requirements
Watch for First Entry Labels: The "1. Trend Cycle Entry" label highlights the highest-probability signals occurring right after trend changes.
Important Notes
⚠️ This indicator does not repaint. All signals appear on closed candles only.
⚠️ Past performance is not indicative of future results. This indicator should be used as part of a complete trading strategy with proper risk management.
⚠️ Filters reduce signal frequency: Enabling multiple filters will significantly reduce the number of signals. This is intentional to improve quality over quantity.
⚠️ Heiken Ashi mode considerations: While HA mode smooths signals, it can also introduce lag. Test both modes on your preferred timeframe.
Best Practices
Always backtest on your preferred timeframe before live trading
Start conservative with tighter filters, then loosen if needed
Pay special attention to "First Entry" signals for highest probability setups
Use appropriate position sizing and stop losses
Consider market conditions: trending vs ranging
Disclaimer
This indicator is for educational purposes only and should not be considered financial advice. Trading involves substantial risk of loss. Always do your own research and consider your risk tolerance before trading.
ElectZA MACD Range Momentum Filter**ElectZA MACD Range Momentum Filter (EZ_RangeMACD)** is a clean MACD-style momentum tool that helps you avoid choppy, low-volatility periods. It uses **ATR compression** to detect when price is likely ranging (and visually shades those zones), then **filters signals** so buy/sell triggers only appear when the market is *not* in a range. You get a color-coded histogram (gray in ranges, green/red in trends), classic MACD + signal lines, and optional crossover/crossunder markers to highlight higher-quality momentum shifts.
**Disclaimer:**
This indicator/script is provided for **educational and informational purposes only** and does **not** constitute financial, investment, or trading advice. Trading and investing involve **significant risk**, and you may lose some or all of your capital. Past performance is **not** indicative of future results. Always do your own research, test strategies on a demo account, and consider seeking advice from a qualified financial professional. By using this script, you agree that you are solely responsible for any trading decisions and outcomes.
Trend Signal GridTrend Signal Grid
Based on Trend Direction & Force Index - TDFI by Causecelebre, the TDFI Grid is a multi-timeframe momentum indicator that builds on the original TDFI concept. It calculates TDFI across three user-selectable timeframes using three different lookback periods, creating a 3×3 consensus grid (9 readings total).
Each cell is classified as bullish, bearish, or neutral based on configurable upper and lower thresholds. When a majority of the 9 readings align in the same direction (default 65%), the indicator triggers a directional signal — either GRID UP or GRID DOWN. Alerts fire automatically on new signals so you never miss a shift.
How it works
The indicator uses a smoothed EMA-based momentum calculation, normalises the output against its recent highest absolute value, and then maps it across your chosen timeframes and lookback lengths. The results are displayed in a clean on-chart table showing the state of each timeframe/lookback combination at a glance.
Settings:
Timeframe 1, 2, 3 — Choose any three timeframes (defaults to 1m, 5m, 15m).
LB1, LB2, LB3 — Lookback periods for each TDFI calculation.
UP / DOWN thresholds — Controls how far the TDFI must move before a cell registers as bullish or bearish.
Majority — The percentage of the 9 cells that must agree to trigger a signal.
Table position — Place the grid anywhere on your chart.
Best used for
Trading setups where you need to confirm momentum alignment across multiple timeframes before entering or scaling a position. Works well on forex and metals.
US30 AsianRange 1900-0000 LIMIT OCO (1pct risk) 120 fib 30/150asian sweep at the 120 fib, aiming for 150 pips long and short buy limits set, once one is hit for the day cancel the opposite limit straight away
ATR-Based Z-Score (with Signal Line)The ATR-Based Z-Score is an advanced, volatility-normalized oscillator designed to identify extreme price deviations more reliably than the standard Z-Score.
By replacing the traditional Standard Deviation with the Average True Range (ATR) in the denominator, this indicator eliminates the "volatility paradox" where rapid price spikes cause standard oscillators to prematurely return to zero, even as the price continues to crash.
Why this version is superior
In a classic Z-Score calculation:
Z = (Price - SMA) / (Standard Deviation)
A sudden impulsive price drop causes the Standard Deviation to explode. Because you are dividing by a rapidly increasing number, the Z-Score often "rises" while the price is still falling.
The ATR-Based Solution:
Z = (Price - SMA) / ATR
By using a long-period ATR as the denominator, the volatility measure remains stable and "clean." This ensures that the indicator’s troughs align much more accurately with actual price bottoms, staying in the oversold territory until the momentum truly shifts.
Key Features
Volatility Cleaning: The ATR-normalization prevents the indicator from "flattening out" during impulsive price movements.
Integrated Signal Line: A customizable Moving Average of the Z-Score values helps filter noise and confirms entry/exit points.
Independent Periods: You can set the Price MA (responsiveness) and the ATR (volatility baseline) separately to fine-tune the indicator to different timeframes.
How to Trade with it
1. Mean Reversion (Buy the Dip / Sell the Rip)
Long: Wait for the Z-Score to drop below a significant level (e.g., -10.0). Enter when the Z-Score crosses back above its Signal Line.
Short: Wait for the Z-Score to rise above +10.0 and enter when it crosses below the Signal Line.
2. Breakout Trading
A strong push of the Z-Score beyond the +/- 7.0 levels can indicate a powerful trend breakout.
In this case, the Signal Line crossover serves as an effective Exit Signal, telling you that the initial momentum of the breakout is fading.
Summary
✅ This indicator is designed for traders who find standard oscillators too "nervous" during volatile periods. By decoupling price deviation from immediate variance spikes, the ATR-Based Z-Score provides a rock-solid foundation for identifying true market extremes and high-probability reversal points.
A+ ORB VWAP EMA Alerts//@version=5
indicator("A+ ORB VWAP EMA Alerts", overlay = true)
// ORB levels (set these from LuxAlgo each morning)
orbHigh = input.float(0.0, "ORB High", step = 0.1)
orbLow = input.float(0.0, "ORB Low", step = 0.1)
// EMAs and VWAP
emaFast = ta.ema(close, 9)
emaSlow = ta.ema(close, 21)
vwapVal = ta.vwap(hlc3)
// Conditions
longCond = (close > orbHigh) and (close > vwapVal) and (emaFast > emaSlow)
shortCond = (close < orbLow) and (close < vwapVal) and (emaFast < emaSlow)
// Alerts (single-line, plain ASCII)
alertcondition(longCond, "A+ LONG SETUP ORB VWAP EMA", "A+ LONG: ORB High accepted, above VWAP, EMA9 > EMA21 (5m close).")
alertcondition(shortCond, "A+ SHORT SETUP ORB VWAP EMA", "A+ SHORT: ORB Low accepted, below VWAP, EMA9 < EMA21 (5m close).")
Nasser kurdi | PRO PACK nasser kurdi fulllllll before
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Custom Extreme Support & Resistance (ORB Framework)//@version=5
indicator("A+ ORB VWAP EMA Master Alerts", overlay=true)
// === USER INPUTS ===
orbHigh = input.float(na, "ORB High (from LuxAlgo)")
orbLow = input.float(na, "ORB Low (from LuxAlgo)")
emaFastLen = 9
emaSlowLen = 21
// === INDICATORS ===
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
vwapVal = ta.vwap(hlc3)
// === CONDITIONS ===
// LONG
longCond =
close > orbHigh and
close > vwapVal and
emaFast > emaSlow
// SHORT
shortCond =
close < orbLow and
close < vwapVal and
emaFast < emaSlow
// === ALERTS ===
alertcondition(
longCond,
title="A+ LONG SETUP – ORB + VWAP + EMA",
message="A+ LONG SETUP CONFIRMED (5m close): ORB High accepted, price above VWAP, EMA 9 > EMA 21. Wait for pullback/continuation."
)
alertcondition(
shortCond,
title="A+ SHORT SETUP – ORB + VWAP + EMA",
message="A+ SHORT SETUP CONFIRMED (5m close): ORB Low accepted, price below VWAP, EMA 9 < EMA 21. Wait for rejection/continuation."
)
Testthis is a test script
bool newClosed = strategy.closedtrades > strategy.closedtrades
if newClosed
int last = strategy.closedtrades - 1
// 最新平仓 trade 的关键信息
string eid = strategy.closedtrades.entry_id(last)
float epx = strategy.closedtrades.entry_price(last)
string xid = strategy.closedtrades.exit_id(last)
float xpx = strategy.closedtrades.exit_price(last)
float pnl = strategy.closedtrades.profit(last) // 注意：单位是策略币种/合约计价（受 commission 等影响）
// 判断是不是“止损”触发（看 exit_id）
bool isStop = str.startswith(xid, "S_SL_")
string msg = "CLOSED TRADE (new) " +"entry: " + eid + " @ " + str.tostring(epx) + " " +"exit : " + xid + " @ " + str.tostring(xpx) + " " +"pnl : " + str.tostring(pnl) + " " +"isStop=" + str.tostring(isStop)
label.new(bar_index, high, msg, style=label.style_label_down, textalign=text.align_left)
Kotegawa Dip ReversalTakashi Kotegawa trading indicator
it is meant to buy cheap japanese stocks when they are below vwap
Buyside & Sellside Liquidity (5m & 15m)liquidity blocks
sellside liquidity
buyside liquidity
inverse liquidity blocks
Bullish Divergent Bar DCA Strategy [Skyrexio]Overview
Bullish Divergent Bar DCA Strategy is a long-only, multi-layer Dollar-Cost Averaging (DCA) strategy that builds positions around bullish divergent bars formed below the Williams Alligator. It detects potential local bottoms and then scales into the move using up to four pyramiding entries, each with its own size and price threshold. The strategy optionally incorporates Market Facilitation Index (MFI) and Awesome Oscillator (AO) momentum to strengthen reversal confirmation and uses ATR-based take profit on the averaged entry price.
Unique Features
Layered DCA entries with equity-based sizing . It supports up to four DCA layers, where each additional layer is opened only after a configurable percentage drawdown from the first entry and position size is computed as a fraction of current equity via a geometric weighting scheme.
Optional AO and MFI confirmation . Users can require Awesome Oscillator momentum divergence, MFI/volume “squat” bars, or both to confirm that the reversal bar is accompanied by capitulation and weakening downside momentum.
ATR-based dynamic take profit . Take profit is defined as a multiple of ATR added to the current average entry price, automatically adjusting exits to prevailing volatility.
Built-in DCA visualization . The script can plot the initial entry level and all DCA thresholds to make the averaging structure and risk visually transparent on the chart.
Methodology
The core entry logic starts from a bullish divergent bar definition: the bar must close above its midpoint (close > hl2) and be the lowest low within the user-defined lookback window, flagging a local swing low. On top of this, the bar must form entirely below all three Alligator lines, ensuring that the pattern appears after a sustained downside move rather than inside noise.
If enabled, AO adds a momentum filter by requiring the Awesome Oscillator difference to be negative (descending bar on AO histogram), signaling fading downside momentum at the potential bottom. If the MFI filter is enabled, the bar (or one of the last two bars) must be a “squat” bar where spread narrows while volume increases, approximating effort vs. result exhaustion.
Once a valid bullish reversal bar is detected and the time is within the configured trading window, the strategy opens the first DCA layer using a stop entry at the bar’s high (confirmation level), only entering if price actually breaks the bar high. Additional layers (second, third, and fourth entries) are only allowed if price trades below percentage thresholds from the first entry price and a new valid bullish reversal bar forms, thereby averaging down into deep pullbacks while still requiring fresh reversal evidence.
While any DCA position is open, the strategy continuously recalculates the take profit as the current volume-weighted average entry price plus ATR multiplied by a user-defined factor. All individual entries share the same take profit level through separate strategy exit calls, so the entire stacked position exits together once price has moved sufficiently above the averaged entry.
Strategy settings
In the inputs window, users can configure the following strategy settings:
sourceUuid / secretToken: Identifiers used to format JSON alerts for automated execution through webhooks.
Trade Start Date/Time: Beginning of the backtest/live-trading window.
Trade Stop Date/Time: End of the backtest/live-trading window.
Show DCA Levels (default = false): Toggles plotting of the initial entry level and all three DCA thresholds on the chart.
Enable MFI (default = false): Enables the MFI-style volume/spread filter.
Enable AO (default = false): Enables Awesome Oscillator confirmation.
Number Of Bar For Lowest Bar (default = 7): Lookback window used to identify the lowest low bar for the bullish reversal bar condition.
Layer 2 Threshold Percent (default = 4.0): Percentage drop from the first layer price that must be reached to allow the second DCA entry.
Layer 3 Threshold Percent (default = 10.0): Percentage drop from the first layer price required to unlock the third DCA layer.
Layer 4 Threshold Percent (default = 22.0): Percentage drop from the first layer price required to unlock the fourth DCA layer.
Position Size Multiplier (default = 2.0): Multiplier used in the geometric weighting scheme to determine how much equity is allocated to each additional DCA layer.
Number Of ATR For Take Profit (default = 2.0): ATR multiple added to the current average entry price to calculate the shared take profit for all open layers.
Users can refine these parameters during backtesting to fit the volatility profile and structure of the specific asset and timeframe.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is Williams Alligator, MFI and AO.
let’s start with the Williams Alligator. Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Market Facilitation Index (MFI) is a technical indicator that measures the price movement per unit of volume, helping traders gauge the efficiency of price movement in relation to trading volume. Here's how you can calculate it:
MFI = (High−Low)/Volume
MFI can be used in combination with volume, so we can divide 4 states. Bill Williams introduced these to help traders interpret the interaction between volume and price movement. Here’s a quick summary:
Green Window (Increased MFI & Increased Volume): Indicates strong momentum with both price and volume increasing. Often a sign of trend continuation, as both buying and selling interest are rising.
Fake Window (Increased MFI & Decreased Volume): Shows that price is moving but with lower volume, suggesting weak support for the trend. This can signal a potential end of the current trend.
Squat Window (Decreased MFI & Increased Volume): Shows high volume but little price movement, indicating a tug-of-war between buyers and sellers. This often precedes a breakout as the pressure builds.
Fade Window (Decreased MFI & Decreased Volume): Indicates a lack of interest from both buyers and sellers, leading to lower momentum. This typically happens in range-bound markets and may signal consolidation before a new move.
For our purposes we are interested in squat bars. This is the sign that volume cannot move the price easily. This type of bar increases the probability of trend reversal. In this indicator we added to enable the MFI filter of reversal bars. If potential divergent bar or two preceding bars have squat state this bar can be interpret as a reversal one.
The strategy intentionally focuses on bullish divergent bars forming at local lows and below the Alligator to catch potential exhaustion points in downtrends where risk/reward becomes asymmetric. The Alligator (Jaw, Teeth, Lips) acts as a dynamic structure filter: requiring price to be below all three lines before reversal helps avoid chasing minor pullbacks inside an ongoing uptrend and instead concentrates entries on deeper corrections where mean reversion potential is higher.
The custom bullish divergent bar rule (close above midpoint and being the lowest low over N bars) approximates a local capitulation candle, which often precedes short squeezes or at least strong reactions. By combining this with AO and MFI-style filters, the strategy further increases the likelihood that the pattern coincides with downside momentum(as a confirmation that current trend is downward, AO difference < 0) and effort vs. result anomalies (squat bars), which is common signatures of trend exhaustion.
The DCA structure is designed to deploy capital progressively rather than all at once: the first entry is triggered only if price confirms the reversal by breaking above the bar’s high, while subsequent layers require both a deeper discount relative to the initial entry and a new bullish reversal signal. Percentage thresholds from the first entry ensure that each additional allocation is made at meaningfully better prices, improving the blended entry level and reducing the break-even distance.
Finally, using ATR as the basis for take profit aligns exits with current volatility. A fixed-percentage target can be too tight in volatile regimes or too loose in quiet markets, whereas ATR-based targets scale with average bar range. Applying ATR to the evolving average entry price of all open layers keeps the risk/reward framework consistent across different volatility regimes and DCA configurations.
Backtest Results
Operating window: Date range of backtests is 2025.01.01 - 2026.01.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Maximum Single Position Loss: -6.56%
Maximum Single Profit: +4.92%
Net Profit: +934.08 USDT (+9.34%)
Total Trades: 121 (82.64% win rate)
Profit Factor: 2.948
Maximum Accumulated Loss: 624.72 USDT (-6.15%)
Average Profit per Trade: 7.72 USDT (+0.37%)
Average Trade Duration: 60 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
You should run your own backtests on the target asset and timeframe (for example, BTC/USDT on intraday charts) and adjust threshold percentages, layer sizing, and ATR take profit factor to match your risk tolerance and market conditions.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart.
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Cyberpunk Pattern Engine⚡ Cyberpunk Pattern Engine: Neon Technical Analysis
Upgrade your chart aesthetics while maintaining surgical precision. The Cyberpunk Pattern Engine is a high-performance pattern recognition script designed to identify classic reversal formations with a futuristic, neon-soaked visual style.
🛠️ Key Features
・Automated Pattern Detection: Real-time identification of four major price action structures:
・Double Top (DT) - Neon Pink
・Double Bottom (DB) - Neon Cyan
・Head & Shoulders (H&S) - Neon Green
・Inverse H&S (iH&S) - Neon Gold
・Cyber-Visuals: Uses the linefill engine to create semi-transparent glowing triangles, making chart patterns instantly recognizable without cluttering your price action.
・Dual-Language Support: Toggle labels between English and Japanese with a single click.
・Sensitivity Control: Adjust the "Pivot Period" and "Max Difference %" to filter out market noise and find only the most textbook-perfect setups.
🚀 How to Use
1. Pivot Period: Larger values find long-term trends; smaller values find scalp opportunities.
2. Max Difference: Controls how "equal" the tops/bottoms must be. Decrease for strict perfection, increase for more frequent signals.
3. Confirmation: The engine paints the completed pattern once the price crosses the neckline (confirmation level).
日本語版 (Japanese Description)
⚡ Cyberpunk Pattern Engine: ネオン・テクニカル・エンジン
チャート分析に「美学」と「精度」を。Cyberpunk Pattern Engineは、伝統的なチャートパターンを検出し、近未来的なサイバーパンク・スタイルで可視化する高性能インジケーターです。
🛠️ 主な機能
・自動パターン検出: 主要な4つの反転パターンをリアルタイムで識別します：
・ダブルトップ (DT) - ネオンピンク
・ダブルボトム (DB) - ネオンシアン
・三尊 / Head & Shoulders (H&S) - ネオングリーン
・逆三尊 / Inverse H&S (iH&S) - ネオンゴールド
・サイバー・ビジュアル: linefill機能を駆使し、半透明の光る三角形で描画。チャートの視認性を損なうことなく、瞬時に形状を把握できます。
・2ヶ国語対応: ラベル表示を日本語と英語で切り替え可能。
・感度カスタマイズ: 参照期間（Pivot Period）や許容誤差（Max Diff %）を調整することで、ノイズを排除し、自身のトレードスタイルに最適な形状のみを抽出できます。
🚀 使い方
1. 参照期間 (Pivot Period): 数値を大きくすると長期足レベルの大きな波を、小さくするとスキャルピング向けの小さな波を検出します。
2. 許容誤差: 頂点や肩の高さがどれくらい揃っていればパターンとみなすかを調整します。厳格な判断には数値を下げてください。
3. 確定条件: 価格がネックラインをブレイクし、パターンが完成したタイミングで描画が実行されます。
Pattern Multi-TF DashboardPattern indicator is a comprehensive market analysis tool designed to identify the three primary phases of price action: Contraction, Expansion, and Trend. By combining technical momentum (ADX) with price range volatility, this script provides a "top-down" view of the market, allowing traders to see how lower-timeframe price action fits into the broader market cycle.
Core Logic & Market Phases
The indicator classifies market conditions based on a proprietary blend of ADX (Average Directional Index) and price deviation from the Fair Market Value (FMV).
🟦 Contraction (Blue): Identified when ADX is low and price is consolidating within a narrow range relative to the FMV. This represents "market value" where orders are being accumulated.
🟧 Expansion (Orange): Triggered when ADX begins to rise and price pushes away from the FMV. This represents the initial breakout phase where the market is seeking a new value area.
🟩 Trend (Green): Confirmed when ADX remains high and price maintains direction. This is the "momentum" phase of the cycle.
⬜ Neutral (Gray): Default state when neither contraction nor strong momentum is detected.
Key Features
Multi-TF Dashboard: A dynamic, real-time table displaying the Phase, Bias (Bullish/Bearish), and FMV price for eight different timeframes (1m through Monthly).
Visual Bias Tracking: The "Bias" column is color-coded (Green for Bullish, Red for Bearish) based on whether price is trading above or below the Fair Market Value (Mid-point of the range).
On-Chart Inefficiencies (FVG): Automatically plots Green/Red triangles to highlight Fair Value Gaps, identifying areas of price imbalance where liquidity may be resting.
HTF FMV Overlay: Plots the Fair Market Value (Mid-line) of a user-defined Higher Timeframe (e.g., 4H) directly onto your current chart for easy trend reference.
Optimized Performance: Built specifically for Pine Script® v6, the dashboard is designed to update only on the most recent bar to ensure zero chart lag during manual scrolling.
How to Use
Identify the HTF Phase: Look at the background color of your chart to see the 4H or Daily phase.
Check for Alignment: Use the Dashboard to see if the 1m and 5m biases match the HTF bias.
Find Entry: Look for Inefficiencies (FVGs) that align with the Expansion or Trend phases for high-probability entry points.
CTR Weekly MA + 1D MA (improved)This does what the previous version does but more. I've added color candles to match the three weekly MAs. It helps show the stronger pullback as it goes deeper into each of the 3 weekly MAs and once the pullback is over and price goes back above or below the lowest or highest MA (depending on whether you are trading in a bear market or bull market) the candle colors will turn bright green or bright red.
Universal HVN Volume Nodes DetectorAdvanced multi-timeframe High Volume Nodes (HVN) detector.
Identifies the most significant volume-based price reaction zones.
Designed for Gold, Silver and Crypto markets.
JOWY LA VERDADERA ESTRUCTURABasically it is an indicator that perfectly represents the typical BoS Market structure in the fastest way. It is advisable to study several temporalities at the same time and not focus on just one.
Alg0 Hal0 RSI 4555
The Alg0 ۞ Hal0 RSI 4555 is a trend-following momentum indicator designed to capture high-probability entries during market pullbacks. It combines a customizable Trend Filter (Moving Average) with a specialized "Armed & Triggered" RSI logic to avoid choppy markets and fakeouts.
1. How the Logic Works
This indicator uses a two-step process to generate signals, ensuring you only enter when momentum is confirmed.
The Trend Filter: The background color tells you the primary trend. If the price is above the Moving Average, the background is Green (Bullish). If below, it is Red (Bearish).
The "Arming" Phase: To prevent chasing "overbought" prices, the script must first see a pullback.
Longs: RSI must drop below 40 while the trend is Bullish.
Shorts: RSI must rise above 60 while the trend is Bearish.
The Trigger: Once "Armed," the script waits for a momentum shift.
LONG Signal: RSI crosses above 55.
SHORT Signal: RSI crosses below 45.
2. Key Visual Features
Dynamic Background: Instantly identifies the macro trend based on your chosen MA (SMA, EMA, HMA, WMA, or ALMA).
Momentum Labels: "LONG" and "SHORT" labels appear directly on the chart when all conditions are met.
Divergence Detection: Automatically plots Bullish and Bearish divergences to warn you of potential trend exhaustion.
Customizable Levels: The four key RSI levels (60, 55, 45, 40) are fully adjustable to fit different assets or timeframes.
3. Settings Guide
RSI Settings: Adjust the RSI length (default is 14) and toggle Divergence labels on/off.
Background Logic: Choose your preferred Moving Average style. ALMA is recommended for the smoothest trend filtering, while SMA/EMA are better for classic trend following.
Custom Levels: Fine-tune the 45/55 trigger points. For more aggressive entries, move these closer to the 50-midline. For more conservative entries, spread them further apart.
4. Best Practices
The "Neutral Zone": The area between 45 and 55 is the "No Man's Land." Wait for a clean candle close and a label before entering a trade.
Risk Management: Use the Recent Swing High/Low or the Trend MA as a logical stop-loss level.
EZ Range MACD + DASH - ELECTZA**EZ Range MACD + DASH – ELECTZA**
A streamlined MACD momentum indicator built to reduce false signals in choppy markets. It combines a classic **MACD + Signal + Histogram** display with an **ATR-based range detector** that identifies low-volatility compression zones. When the market is ranging, momentum is muted and the script prioritizes “WAIT” conditions to help you avoid noise. Clear **BUY/SELL arrows** print only when MACD crossovers occur outside of detected range conditions. The built-in **dashboard** (bottom-right) gives a quick at-a-glance read of the **Overall Market State** (Bullish / Bearish / Ranging) plus the current **trade recommendation** (Buy / Sell / Wait), making it easy to track momentum and market quality without clutter.
**Disclaimer:**
This indicator/script is provided for **educational and informational purposes only** and does **not** constitute financial, investment, or trading advice. Trading and investing involve **significant risk**, and you may lose some or all of your capital. Past performance is **not** indicative of future results. Always do your own research, use proper risk management, and consider consulting a qualified financial professional. By using this script, you agree that you are solely responsible for any trading decisions and outcomes.
