Sree Daily RangeVery simple indicator to draw support and resistance levels given the price. It creates a given lebel at the level
Penunjuk dan strategi
Pivot Points High Low (With confirm bar)This script simply adds a visual circle confirmation to visualise the bar when the pivot has been confirmed. It's based on Pivot Points High Low scripts
UM OBV with Signal (EMA/SMA/WMA/NWE)SUMMARY
A visual OBV trend tool that highlights bullish and bearish volume pressure using smart smoothing and intuitive color-coding.
โธป
WHY THIS INDICATOR?
There are only three variables you can adjust on a chart: price, volume, and time. I wanted a good volume indicator.
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DESCRIPTION
This tool extends classic On-Balance Volume with selectable trend smoothing (EMA, SMA, WMA, or NWE) and visual directional coloring on both OBV and the Signal line. Green shows bullish volume flow, red shows bearish volume flow. Optional crossover markers help confirm shifts in buying pressure.
Nadaraya-Watson Regression (NWE) provides a smooth, non-MA alternative for filtering volume trend noise, and optional dual-NWE coloring helps reduce false flips in choppy markets.
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THE CHART
The indicator is added twice at the bottom; once with a 21 EMA and again with a 55 SMA. The chart has text and illustrations to show where the OBV flipped colors. More red equals more selling pressure. More green equals more buying volume or pressure.
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DEFAULTS
โข OBV smoothing length = 3
โข Signal = 21 EMA
โข Crossover bubbles are hidden/off by default
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SUGGESTED USES
โข Combine with price structure, momentum, or volatility tools to confirm trend strength.
โข Try switching between EMA and NWE on faster intraday charts to see volume trend earlier.
โข Use crossover signals as secondary confirmation rather than standalone entries.
โข Use this indicator with your other favorite indicators for confirmation.
โข Select timeframes suitable to your style of trading.
โข I use the 30-minute, 6-hour, and Daily timeframes.
โข I question myself if I am buying something with this indicator being red.
โข Experiment with various timeframes and settings.
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AUTHOR OBSERVATIONS
OBV often turns before priceโespecially when volume surges ahead of breakout levels.
NWE tends to smooth choppy OBV much better than traditional moving averages in noisy markets.
Look for Signal color flips at key support/resistance or volatility inflection points.
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ALERTS
Right-click the indicator and choose Add alertโฆ โ two presets are available:
โข Bullish OBV Turning Up
โข Bearish OBV Turning Down
RSI + MACD Day Trading Toolkit//@version=6
indicator("RSI + MACD Day Trading Toolkit", overlay = true)
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// 1. INPUTS
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// RSI settings
rsiLength = input.int(14, "RSI Length")
rsiOverbought = input.float(70, "RSI Overbought Level", minval = 50, maxval = 100)
rsiOversold = input.float(30, "RSI Oversold Level", minval = 0, maxval = 50)
// MACD settings (classic 12 / 26 / 9)
macdFastLength = input.int(12, "MACD Fast Length")
macdSlowLength = input.int(26, "MACD Slow Length")
macdSignalLength = input.int(9, "MACD Signal Length")
// Risk model selection
riskModel = input.string("ATR", "Risk Model", options = )
// ATR-based SL/TP
atrLength = input.int(14, "ATR Length")
atrSLMult = input.float(1.5, "SL ATR Multiplier", minval = 0.1, step = 0.1)
atrTPMult = input.float(2.5, "TP ATR Multiplier", minval = 0.1, step = 0.1)
// Percent-based SL/TP (for scalping on very tight spreads)
slPercent = input.float(0.5, "SL % (when Risk Model = Percent)", minval = 0.05, step = 0.05)
tpPercent = input.float(1.0, "TP % (when Risk Model = Percent)", minval = 0.05, step = 0.05)
// Visual / styling
showSLTPLines = input.bool(true, "Plot Stop Loss / Take Profit Lines")
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// 2. CORE INDICATORS: RSI & MACD
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
rsiValue = ta.rsi(close, rsiLength)
// Manual MACD calculation (avoids tuple unpacking issues)
macdFastEMA = ta.ema(close, macdFastLength)
macdSlowEMA = ta.ema(close, macdSlowLength)
macdValue = macdFastEMA - macdSlowEMA
macdSignal = ta.ema(macdValue, macdSignalLength)
macdHist = macdValue - macdSignal
atrValue = ta.atr(atrLength)
// Hide internal plots from price scale (still accessible if you change display)
plot(rsiValue, "RSI", display = display.none)
plot(macdValue, "MACD", display = display.none)
plot(macdSignal, "MACD Sig", display = display.none)
plot(macdHist, "MACD Hist", display = display.none)
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// 3. SIGNAL LOGIC (ENTRY CONDITIONS)
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
//
// Idea:
// - LONG bias: RSI emerges from oversold AND MACD crosses above signal below zero
// - SHORT bias: RSI falls from overbought AND MACD crosses below signal above zero
//
// Combines momentum (RSI) with trend confirmation (MACD).
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// RSI events
rsiBullCross = ta.crossover(rsiValue, rsiOversold) // RSI crosses UP out of oversold
rsiBearCross = ta.crossunder(rsiValue, rsiOverbought) // RSI crosses DOWN from overbought
// MACD crossover with trend filter
macdBullCross = ta.crossover(macdValue, macdSignal) and macdValue < 0 // Bullish cross below zero-line
macdBearCross = ta.crossunder(macdValue, macdSignal) and macdValue > 0 // Bearish cross above zero-line
// Raw (ungated) entry signals
rawLongSignal = rsiBullCross and macdBullCross
rawShortSignal = rsiBearCross and macdBearCross
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// 4. STATE MANAGEMENT (SIMULATED POSITION TRACKING)
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
//
// position: 1 = long
// -1 = short
// 0 = flat
//
// We track entry price and SL/TP levels as if this were a strategy.
// This is still an indicator โ it just computes and plots the logic.
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
var int position = 0
var float longEntryPrice = na
var float shortEntryPrice = na
var float longSL = na
var float longTP = na
var float shortSL = na
var float shortTP = na
// Per-bar flags (for plotting / alerts)
var bool longEntrySignal = false
var bool shortEntrySignal = false
var bool longExitSignal = false
var bool shortExitSignal = false
// Reset per-bar flags each bar
longEntrySignal := false
shortEntrySignal := false
longExitSignal := false
shortExitSignal := false
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// 5. EXIT LOGIC (STOP LOSS / TAKE PROFIT / OPPOSITE SIGNAL)
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
//
// Exits are evaluated BEFORE new entries on each bar.
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// Stop-loss / take-profit hits for existing positions
longStopHit = position == 1 and not na(longSL) and low <= longSL
longTakeHit = position == 1 and not na(longTP) and high >= longTP
shortStopHit = position == -1 and not na(shortSL) and high >= shortSL
shortTakeHit = position == -1 and not na(shortTP) and low <= shortTP
// Opposite signals can also close positions
reverseToShort = position == 1 and rawShortSignal
reverseToLong = position == -1 and rawLongSignal
// Combine exit conditions
longExitNow = longStopHit or longTakeHit or reverseToShort
shortExitNow = shortStopHit or shortTakeHit or reverseToLong
// Register exits and flatten position
if longExitNow and position == 1
longExitSignal := true
position := 0
longEntryPrice := na
longSL := na
longTP := na
if shortExitNow and position == -1
shortExitSignal := true
position := 0
shortEntryPrice := na
shortSL := na
shortTP := na
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// 6. ENTRY LOGIC WITH RISK MODEL (SL/TP CALCULATION)
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
//
// Only take a new trade when flat.
// SL/TP are calculated relative to entry price using either ATR or Percent.
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
if position == 0
// Long entry
if rawLongSignal
position := 1
longEntryPrice := close
if riskModel == "ATR"
longSL := longEntryPrice - atrValue * atrSLMult
longTP := longEntryPrice + atrValue * atrTPMult
else // Percent model
longSL := longEntryPrice * (1.0 - slPercent / 100.0)
longTP := longEntryPrice * (1.0 + tpPercent / 100.0)
longEntrySignal := true
// Short entry
else if rawShortSignal
position := -1
shortEntryPrice := close
if riskModel == "ATR"
shortSL := shortEntryPrice + atrValue * atrSLMult
shortTP := shortEntryPrice - atrValue * atrTPMult
else // Percent model
shortSL := shortEntryPrice * (1.0 + slPercent / 100.0)
shortTP := shortEntryPrice * (1.0 - tpPercent / 100.0)
shortEntrySignal := true
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// 7. PLOTTING: ENTRIES, EXITS, STOPS & TARGETS
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// Entry markers
plotshape(longEntrySignal, title = "Long Entry", style = shape.triangleup, location = location.belowbar, color = color.new(color.lime, 0), size = size.small, text = "LONG")
plotshape(shortEntrySignal, title = "Short Entry", style = shape.triangledown, location = location.abovebar, color = color.new(color.red, 0), size = size.small, text = "SHORT")
// Exit markers (generic exits: SL, TP or reversal)
plotshape(longExitSignal, title = "Long Exit", style = shape.xcross, location = location.abovebar, color = color.new(color.orange, 0), size = size.tiny, text = "LX")
plotshape(shortExitSignal, title = "Short Exit", style = shape.xcross, location = location.belowbar, color = color.new(color.orange, 0), size = size.tiny, text = "SX")
// Optional: show SL/TP levels on chart while in position
plot(showSLTPLines and position == 1 ? longSL : na, title = "Long Stop Loss", style = plot.style_linebr, color = color.new(color.red, 0), linewidth = 1)
plot(showSLTPLines and position == 1 ? longTP : na, title = "Long Take Profit", style = plot.style_linebr, color = color.new(color.lime, 0), linewidth = 1)
plot(showSLTPLines and position == -1 ? shortSL : na, title = "Short Stop Loss", style = plot.style_linebr, color = color.new(color.red, 0), linewidth = 1)
plot(showSLTPLines and position == -1 ? shortTP : na, title = "Short Take Profit", style = plot.style_linebr, color = color.new(color.lime, 0), linewidth = 1)
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// 8. ALERT CONDITIONS
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
//
// Configure TradingView alerts using these conditions.
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// Entry alerts
alertcondition(longEntrySignal, title = "Long Entry (RSI+MACD)", message = "RSI+MACD: Long entry signal")
alertcondition(shortEntrySignal, title = "Short Entry (RSI+MACD)", message = "RSI+MACD: Short entry signal")
// Exit alerts (by type: SL vs TP vs reversal)
alertcondition(longStopHit, title = "Long Stop Loss Hit", message = "RSI+MACD: Long STOP LOSS hit")
alertcondition(longTakeHit, title = "Long Take Profit Hit", message = "RSI+MACD: Long TAKE PROFIT hit")
alertcondition(shortStopHit, title = "Short Stop Loss Hit", message = "RSI+MACD: Short STOP LOSS hit")
alertcondition(shortTakeHit, title = "Short Take Profit Hit", message = "RSI+MACD: Short TAKE PROFIT hit")
alertcondition(reverseToShort, title = "Long Exit by Reverse Signal", message = "RSI+MACD: Long exit by SHORT reverse signal")
alertcondition(reverseToLong, title = "Short Exit by Reverse Signal", message = "RSI+MACD: Short exit by LONG reverse signal")
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
// 9. QUICK USAGE NOTES
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
//
// - Indicador, nรฃo estratรฉgia: ele simula posiรงรฃo, SL/TP e sinais de saรญda.
// - Para backtest/auto, basta portar a mesma lรณgica para um script `strategy()`
// usando `strategy.entry` e `strategy.exit`.
// - Em day trade, teste ATR vs Percent e ajuste os multiplicadores ao ativo.
//โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Liquidity Heatmap [Eหฃ]๐ง Liquidity Heatmap - Free Indicator
Overview
The Liquidity Heatmap reveals where stop losses are clustered in the market - the hidden liquidity zones that smart money targets. This indicator automatically identifies Buy-Side Liquidity (BSL) above price and Sell-Side Liquidity (SSL) below price, showing you exactly where institutional traders are likely to hunt for stops before major moves.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ฏ What This Indicator Does
Identifies Liquidity Zones:
โข Buy-Side Liquidity (BSL) - Stop losses from SHORT positions clustered above price
โข Sell-Side Liquidity (SSL) - Stop losses from LONG positions clustered below price
โข Automatically clusters nearby levels into high-probability zones
โข Shows liquidity strength (1-5+) - higher numbers = more stops = bigger target
โข Removes swept liquidity in real-time as price takes out stops
Visual Display:
โข ๐ด Red Zones Above Price = Buy-Side Liquidity (shorts' stops)
โข ๐ข Green Zones Below Price = Sell-Side Liquidity (longs' stops)
โข Thicker/Darker Zones = Higher liquidity concentration
โข BSL/SSL Labels = Show exact strength count
โข Triangle Markers = Liquidity sweep alerts (when price takes stops)
Smart Features:
โข Auto-removes old liquidity (customizable lookback period)
โข Clusters nearby levels to reduce noise
โข Tracks liquidity strength and age
โข Updates in real-time as new swing points form
โข Alerts when major liquidity zones are swept
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ How To Use This Indicator
Understanding Liquidity Concepts
What is Liquidity?
Liquidity refers to clusters of stop loss orders sitting in the market. These stops represent:
โข Long traders' stop losses (below support) = Sell-Side Liquidity
โข Short traders' stop losses (above resistance) = Buy-Side Liquidity
Why Does This Matter?
โข Institutions NEED liquidity to fill large orders
โข Price often "sweeps" liquidity zones before reversing
โข Major liquidity = major target for smart money
โข Understanding liquidity = understanding market maker behavior
The Liquidity Cycle:
1. Retail traders place stops at obvious levels (swing highs/lows)
2. Smart money identifies these clusters
3. Price is pushed to sweep the stops (liquidity grab)
4. Institutions fill their orders with this liquidity
5. Price reverses in the opposite direction
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ก Trading Strategies
Strategy 1: Liquidity Sweep Reversals
Best For: Swing trading, catching reversals
Timeframes: 15min, 1H, 4H, Daily
Entry Setup:
1. Identify strong Sell-Side Liquidity (SSL) zone below price
2. Wait for price to sweep down into the SSL zone
3. Look for rejection/reversal candle pattern (pin bar, engulfing)
4. Enter LONG after sweep and reversal confirmation
5. Stop loss: Below the swept liquidity zone
6. Target: Opposite liquidity zone or key resistance
Why It Works: Smart money sweeps stops to fill buy orders, then pushes price higher
Example:
โข SSL zone at $45,000 with strength 3
โข Price drops to $44,950, sweeps the SSL
โข Strong bullish reversal candle forms
โข Enter long at $45,100
โข Target: BSL zone at $47,000
Strategy 2: Liquidity-to-Liquidity Runs
Best For: Day trading, scalping
Timeframes: 5min, 15min, 1H
Entry Setup:
1. Price sweeps Sell-Side Liquidity below and reverses up
2. Identify Buy-Side Liquidity zone above
3. Enter LONG targeting the BSL zone above
4. Exit near/at the BSL zone (don't wait for sweep)
5. Stop loss: Below recent swing low
Why It Works: Price moves from liquidity pool to liquidity pool
Variation - Reverse for Shorts:
โข BSL sweep above โ Look for SSL zone below
โข Enter short targeting lower liquidity
Strategy 3: Liquidity Avoidance (Stop Placement)
Best For: Improving win rate on existing strategies
Timeframes: All
Rules:
1. NEVER place stops exactly at obvious liquidity zones
2. Place stops beyond the liquidity zone with buffer
3. Or place stops before the liquidity zone (tighter, riskier)
4. Monitor liquidity strength - avoid zones with strength 3+
Why It Works: Market makers hunt obvious stop clusters
Example:
โข Trading long, swing low at $100 (SSL zone, strength 4)
โข Bad: Stop at $99.50 (will get swept)
โข Better: Stop at $98.50 (beyond the liquidity)
โข Alternative: Stop at $100.50 (tighter, before sweep zone)
Strategy 4: Confluence Trading
Best For: High probability setups
Timeframes: 1H, 4H, Daily
Entry Setup:
1. Find liquidity zone that aligns with:
โข Major support/resistance level
โข Fibonacci retracement (0.618, 0.786)
โข Trendline
โข Round psychological number ($50,000, $2,000, etc)
2. Wait for sweep of this high-confluence zone
3. Enter on reversal with multiple confirmations
4. Larger position size justified by confluence
Why It Works: Multiple factors = institutional interest = higher probability
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ๏ธ Settings Explained
Core Settings
Swing Detection Length (Default: 10)
โข Number of bars left/right to identify swing highs and lows
โข Lower values (5-8): More sensitive, more liquidity zones, more noise
โข Higher values (12-20): Less sensitive, only major swings, cleaner chart
โข Recommended: 8-10 for intraday, 10-15 for swing trading
Liquidity Lookback Bars (Default: 100)
โข How many historical bars to track liquidity zones
โข Lower values (50-75): Shows only recent liquidity
โข Higher values (100-200): Shows longer-term liquidity clusters
โข Zones older than this are automatically removed
โข Recommended: 100-150 for most timeframes
Zone Proximity % (Default: 0.5)
โข Percentage threshold to group nearby levels into single zone
โข Lower values (0.2-0.4): Keeps levels separate, more zones
โข Higher values (0.6-1.0): Aggressive clustering, fewer zones
โข Recommended: 0.4-0.6 for crypto, 0.3-0.5 for forex, 0.5-0.8 for stocks
Visualization Settings
Show Buy-Side Liquidity
โข Toggle ON/OFF red zones above price
โข Turn OFF if only interested in downside liquidity
Show Sell-Side Liquidity
โข Toggle ON/OFF green zones below price
โข Turn OFF if only interested in upside liquidity
Show Liquidity Labels
โข Toggle BSL/SSL labels with strength numbers
โข Turn OFF for cleaner chart appearance
โข Keep ON to see exact liquidity strength
Display Style
โข Boxes: Filled rectangular zones (best for visualizing strength)
โข Lines: Horizontal dashed lines (minimal, clean look)
โข Both: Boxes + Lines (maximum visibility)
Color Intensity
โข Low: 85% transparency (subtle, less distracting)
โข Medium: 75% transparency (balanced visibility)
โข High: 65% transparency (bold, maximum visibility)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ฑ Info Panel Guide
Located in the top-right corner, the info panel provides real-time liquidity statistics:
Buy-Side Zones
โข Count of active BSL zones above current price
โข Higher number = More upside targets for price
Sell-Side Zones
โข Count of active SSL zones below current price
โข Higher number = More downside targets for price
Total Zones
โข Combined count of all active liquidity
โข Useful for gauging overall market structure
Nearest BSL
โข Distance in % to closest Buy-Side Liquidity above
โข Example: +2.5% means BSL is 2.5% above current price
โข Quick reference for next upside target
Nearest SSL
โข Distance in % to closest Sell-Side Liquidity below
โข Example: -1.8% means SSL is 1.8% below current price
โข Quick reference for next downside target
Liquidity Bias
โข โฌ๏ธ Bullish : More BSL than SSL (upside targets dominate)
โข โฌ๏ธ Bearish : More SSL than BSL (downside targets dominate)
โข โ๏ธ Balanced: Equal liquidity on both sides (range-bound)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Understanding Liquidity Strength
What Do The Numbers Mean?
Strength 1 : Single swing point
โข Light liquidity, minor target
โข Can be ignored in trending markets
โข Useful in ranging/choppy conditions
Strength 2-3 : Moderate liquidity cluster
โข Multiple nearby swing points merged
โข Decent target for intraday moves
โข Watch for potential sweeps
Strength 4-5 : Strong liquidity cluster
โข Major cluster of stops
โข High-probability target for institutions
โข Expect reactions when swept
Strength 6+ : Extreme liquidity pool
โข Massive stop cluster (rare)
โข Critical zone - high probability of sweep
โข Often marks major support/resistance
โข Ideal for confluence setups
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ฑ Alert Setup
This indicator includes 2 powerful alert types:
1. Buy-Side Liquidity Sweep
โข Triggers when price sweeps BSL zone above
โข Shows potential bullish reversal opportunity
โข Often precedes upward continuation after sweep
2. Sell-Side Liquidity Sweep
โข Triggers when price sweeps SSL zone below
โข Shows potential bearish reversal opportunity
โข Often precedes downward continuation after sweep
To Set Up Alerts:
1. Click the "Alert" button (clock icon) in TradingView
2. Condition: Select "Liquidity Heatmap"
3. Choose alert type: BSL Sweep or SSL Sweep
4. Configure notification method (push, email, webhook)
5. Click "Create"
Pro Tip: Set alerts for both BSL and SSL sweeps to catch opportunities in both directions
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Pro Tips & Best Practices
โ
DO:
โข Wait for confirmation - Don't enter immediately on sweep, wait for reversal pattern
โข Combine with trend - SSL sweeps in uptrends = higher probability longs
โข Check multiple timeframes - 1H liquidity + 4H liquidity = strongest zones
โข Monitor strength - Focus on zones with strength 3+
โข Use proper risk management - Liquidity sweeps can go further than expected
โข Watch for re-sweeps - Sometimes liquidity zones get swept multiple times
โข Consider volume - High volume sweeps = stronger reversal potential
โ ๏ธ DON'T:
โข Don't fade strong trends - In strong trends, sweeps often continue rather than reverse
โข Don't overtrade - Not every sweep is a tradeable setup
โข Don't ignore context - Check broader market conditions and news
โข Don't use alone - Combine with price action, support/resistance, and other analysis
โข Don't place stops at liquidity - Your stops will be hunted
โข Don't expect perfection
DrCID CLUB (HM SYSTEM)Blank line is RSI (9 days) line
Green line is EMA (3 days) line
Red line is WMA (21 days) line
when RSI EMA line above 50 & WMA is below both ,it is buy signal
when RSI EMA line below 50 & WMA is above both ,it is sell signal
EMA/SMA Crossover Signals๐ EMA/SMA Crossover Signals
A professional trading indicator that identifies golden and death crosses between a customizable EMA and SMA with clear BUY/SELL labels displayed directly on your chart.
๐ฏ Key Features:
โ
Customizable Moving Averages - Adjust both EMA and SMA periods to match your trading strategy
โ
Clear Signal Labels - Large, color-coded "BUY" and "SELL" labels that are impossible to miss
โ
Adjustable Label Positioning - Control the vertical distance of signal labels from price action
โ
Professional Color Customization - Change colors for both moving averages and signals to match your theme
โ
Label Size Options - Choose from 4 different sizes (Tiny, Small, Normal, Large)
โ
Audio Alerts - Get notified instantly when crossovers occur
โ
Overlay Display - Signals appear directly on your price chart for better context
๐ How It Works:
๐ข BUY Signal: Triggered when the EMA crosses above the SMA (bullish crossover)
๐ด SELL Signal: Triggered when the EMA crosses below the SMA (bearish crossover)
โ๏ธ Customizable Settings:
Moving Averages:
- EMA Period (Default: 8)
- SMA Period (Default: 200)
Colors:
- EMA Color
- SMA Color
- Buy Signal Color
- Sell Signal Color
Signal Settings:
- Signal Vertical Offset
- Label Vertical Offset
- Label Size
๐ก Best For:
- Day Trading (1-5 min timeframes)
- Swing Trading (4H-Daily)
- Trend Following Strategies
- Identifying momentum shifts
- Confirming market structure changes
๐ Perfect for traders using ICT, Wyckoff, and institutional trading methodologies
Use this indicator as part of your complete trading system. Always combine with proper risk management and additional confluence factors.
Pivots MonthlyTraditional monthly pivots based on the prior months OHLC, anchored from the 17:00CT reopen that starts the new trading month.
Yesterday High LineYesterdays High Line Green Dotted Line. Just a line at the high point reached in yesterdays trading cycle
VWMA Deviation Band (Higher TF Anchor)helps spot price being far away from moving average signal possible returne
Wick to Body Ratio TableHello, I'm Gomaa if don't know me and if you want to know more about me follow me on my social media accounts which my propose to teach people "How To Learn".
Use this link so you can find me: linktr.ee
Overview
The "Wick to Body Ratio Table" is a comprehensive analytical tool designed to provide traders with detailed insights into candle structure and price movement dynamics. This indicator breaks down each candle into its component parts and displays real-time statistics in an easy-to-read table format.
What It Does
This indicator analyzes the current candle and displays four key metrics for each component:
Ratio to Body - How large each wick is compared to the candle body
Percentage of Total - What portion of the entire candle each component represents
Move Percentage - The actual price movement as a percentage from the opening price
Component breakdown - Upper wick, body, lower wick, and totals
Key Features
Real-Time Analysis:
Updates automatically with every price tick on the current candle
Works seamlessly across ALL timeframes (1 second to monthly charts)
No lag or delay in calculations
Comprehensive Metrics:
Upper Wick: Shows rejection from higher prices and selling pressure
Closed Body: Displays the actual price change from open to close (bullish=green, bearish=red)
Lower Wick: Indicates rejection from lower prices and buying pressure
Total Wick: Combined wick analysis for overall volatility assessment
Whole Candle: Complete range from high to low with total movement percentage
Visual Design:
Color-coded rows for easy identification
Clear headers for each metric column
Positioned at top-right of chart (non-intrusive)
Professional table format with borders and proper spacing
How to Interpret the Data
Ratio to Body Column:
A ratio of 2.0x means that component is twice the size of the body
N/A appears for doji candles (when body = 0)
Higher ratios indicate stronger rejection or indecision
% of Total Column:
Shows what percentage each part contributes to the whole candle
All percentages always add up to 100%
Helps identify if price spent more time in wicks or body
Move % Column:
Calculated from the opening price
Shows actual volatility during the candle period
Example: 0.5% body with 3% total candle = high volatility but little net movement
Trading Applications
1. Rejection Analysis:
Long upper wicks at resistance = strong selling pressure
Long lower wicks at support = strong buying pressure
Wick-to-body ratios above 2:1 suggest significant rejection
2. Volatility Assessment:
Compare body move % to whole candle move %
Large difference indicates choppy price action
Small difference indicates trending movement
3. Candle Patterns:
Identify doji, hammer, shooting star patterns quantitatively
Measure strength of pin bars and rejection candles
Compare current candle structure to historical patterns
4. Market Sentiment:
Body % > 70% = strong directional movement
Wick % > 60% = indecision and rejection
Balanced distribution = consolidation
Settings & Customization
Table position can be modified in the code (top_right, top_left, bottom_right, bottom_left)
Colors can be adjusted for different components
Text size can be changed (size.small, size.normal, size.large)
Decimal precision can be modified in the str.tostring() functions
Best Practices
Use on higher timeframes (15m+) for more reliable signals
Combine with support/resistance levels for context
Look for extreme ratios (>3:1) for high-probability setups
Monitor the move % to gauge true volatility vs. net movement
Technical Details
Written in Pine Script v5
Zero division protection built-in
Handles all edge cases (gaps, doji, extreme wicks)
Lightweight and efficient (minimal CPU usage)
Liquidity Sweep Indicator (Signal-based SL + BE/TP)I created a more advanced version of my Liquidity Sweep Indicator. Open source, but I dont recommend to create a TV-strategy from the code because you should combine it with price action an chart analysis! Have fun :)
Obsidian Flux Matrix# Obsidian Flux Matrix | JackOfAllTrades
Made with my Senior Level AI Pine Script v6 coding bot for the community!
Narrative Overview
Obsidian Flux Matrix (OFM) is an open-source Pine Script v6 study that fuses social sentiment, higher timeframe trend bias, fair-value-gap detection, liquidity raids, VWAP gravitation, session profiling, and a diagnostic HUD. The layout keeps the obsidian palette so critical overlays stay readable without overwhelming a price chart.
Purpose & Scope
OFM focuses on actionable structure rather than marketing claims. It documents every driver that powers its confluence engine so reviewers understand what triggers each visual.
Core Analytical Pillars
1. Social Pulse Engine
Sentiment Webhook Feed: Accepts normalized scores (-1 to +1). Signals only arm when the EMA-smoothed value exceeds the `sentimentMin` input (0.35 by default).
Volume Confirmation: Requires local volume > 30-bar average ร `volSpikeMult` (default 2.0) before sentiment flags.
EMA Cross Validation: Fast EMA 8 crossing above/below slow EMA 21 keeps momentum aligned with flow.
Momentum Alignment: Multi-timeframe momentum composite must agree (positive for longs, negative for shorts).
2. Peer Momentum Heatmap
Multi-Timeframe Blend: RSI + Stoch RSI fetched via request.security() on 1H/4H/1D by default.
Composite Scoring: Each timeframe votes +1/-1/0; totals are clamped between -3 and +3.
Intraday Readability: Configurable band thickness (1-5) so scalpers see context without losing space.
Dynamic Opacity: Stronger agreement boosts column opacity for quick bias checks.
3. Trend & Displacement Framework
Dual EMA Ribbon: Cyan/magenta ribbon highlights immediate posture.
HTF Bias: A higher-timeframe EMA (default 55 on 4H) sets macro direction.
Displacement Score: Body-to-ATR ratio (>1.4 default) detects impulses that seed FVGs or VWAP raids.
ATR Normalization: All thresholds float with volatility so the study adapts to assets and regimes.
4. Intelligent Fair Value Gap (FVG) System
Gap Detection: Three-candle logic (bullish: low > high ; bearish: high < low ) with ATR-sized minimums (0.15 ร ATR default).
Overlap Prevention: Price-range checks stop redundant boxes.
Spacing Control: `fvgMinSpacing` (default 5) avoids stacking from the same impulse.
Storage Caps: Max three FVGs per side unless the user widens the limit.
Session Awareness: Kill zone filters keep taps focused on London/NY if desired.
Auto Cleanup: Boxes delete when price closes beyond their invalidation level.
5. VWAP Magnet + Liquidity Raid Engine
Session or Rolling VWAP: Toggle resets to match intraday or rolling preferences.
Equal High/Low Scanner: Looks back 20 bars by default for liquidity pools.
Displacement Filter: ATR multiplier ensures raids represent genuine liquidity sweeps.
Mean Reversion Focus: Signals fire when price displaces back toward VWAP following a raid.
6. Session Range Breakout System
Initial Balance Tracking: First N bars (15 default) define the session box.
Breakout Logic: Requires simultaneous liquidity spikes, nearby FVG activity, and supportive momentum.
Z-Score Volume Filter: >1.5ฯ by default to filter noisy moves.
7. Lifestyle Liquidity Scanner
Volume Z-Scores: 50-bar baseline highlights statistically significant spikes.
Smart Money Footprints: Bottom-of-chart squares color-code buy vs sell participation.
Panel Memory: HUD logs the last five raid timestamps, direction, and normalized size.
8. Risk Matrix & Diagnostic HUD
HUD Structure: Table in the top-right summarizes HTF bias, sentiment, momentum, range state, liquidity memory, and current risk references.
Signal Tags: Aggregates SPS, FVG, VWAP, Range, and Liquidity states into a compact string.
Risk Metrics: Swing-based stops (5-bar lookback) + ATR targets (1.5ร default) keep risk transparent.
Signal Families & Alerts
Social Pulse (SPS): Volume-confirmed sentiment alignment; triangle markers with โSPSโ.
Kill-Zone FVG: Session + HTF alignment + FVG tap; arrow markers plus SL/TP labels.
Local FVG: Captures local reversals when HTF bias has not flipped yet.
VWAP Raid: Equal-high/low raids that snap toward VWAP; โVWAPโ label markers.
Range Breakout: Initial balance violations with liquidity and imbalance confirmation; circle markers.
Liquidity Spike: Z-score spikes โฅ threshold; square markers along the baseline.
Visual Design & Customization
Theme Palette: Primary background RGB (12,6,24). Accent shading RGB (26,10,48). Long accents RGB (88,174,255). Short accents RGB (219,109,255).
Stylized Candles: Optional overlay using theme colors.
Signal Toggles: Independently enable markers, heatmap, and diagnostics.
Label Spacing: Auto-spacing enforces โฅ4-bar gaps to prevent text overlap.
Customization & Workflow Notes
Adjust ATR/FVG thresholds when volatility shifts.
Re-anchor sentiment to your webhook cadence; EMA smoothing (default 5) dampens noise.
Reposition the HUD by editing the `table.new` coordinates.
Use multiples of the chart timeframe for HTF requests to minimize load.
Session inputs accept exchange-local time; align them to your market.
Performance & Compliance
Pure Pine v6: Single-line statements, no `lookahead_on`.
Resource Safe: Arrays trimmed, boxes limited, `request.security` cached.
Repaint Awareness: Signals confirm on close; alerts mirror on-chart logic.
Runtime Safety: Arrays/loops guard against `na`.
Use Cases
Measure when social sentiment aligns with structure.
Plan ICT-style intraday rebalances around session-specific FVG taps.
Fade VWAP raids when displacement shows exhaustion.
Watch initial balance breaks backed by statistical volume.
Keep risk/target references anchored in ATR logic.
Signal Logic Snapshot
Social Pulse Long/Short: `sentimentEMA` gated by `sentimentMin`, `volSpike`, EMA 8/21 cross, and `momoComposite` sign agreement. Keeps hype tied to structural follow-through.
Kill-Zone FVG Long/Short: Requires session filter, HTF EMA bias alignment, and an active FVG tap (`bullFvgTap` / `bearFvgTap`). Labels include swing stops + ATR targets pulled from `swingLookback` and `liqTargetMultiple`.
Local FVG Long/Short: Uses `localBullish` / `localBearish` heuristics (EMA slope, displacement, sequential closes) to surface intraday reversals even when HTF bias has not flipped.
VWAP Raids: Detect equal-high/equal-low sweeps (`raidHigh`, `raidLow`) that revert toward `sessionVwap` or rolling VWAP when displacement exceeds `vwapAlertDisplace`.
Range Breakouts: Combine `rangeComplete`, breakout confirmation, liquidity spikes, and nearby FVG activity for statistically backed initial balance breaks.
Liquidity Spikes: Volume Z-score > `zScoreThreshold` logs direction, size, and timestamp for the HUD and optional review workflows.
Session Logic & VWAP Handling
Kill zone + NY session inputs use TradingViewโs session strings; `f_inSession()` drives both visual shading and whether FVG taps are tradeable when `killZoneOnly` is true.
Session VWAP resets using cumulative price ร volume sums that restart when the daily timestamp changes; rolling VWAP falls back to `ta.vwap(hlc3)` for instruments where daily resets are less relevant.
Initial balance box (`rangeBars` input) locks once complete, extends forward, and stays on chart to contextualize later liquidity raids or breakouts.
Parameter Reference
Trend: `emaFastLen`, `emaSlowLen`, `htfResolution`, `htfEmaLen`, `showEmaRibbon`, `showHtfBiasLine`.
Momentum: `tf1`, `tf2`, `tf3`, `rsiLen`, `stochLen`, `stochSmooth`, `heatmapHeight`.
Volume/Liquidity: `volLookback`, `volSpikeMult`, `zScoreLen`, `zScoreThreshold`, `equalLookback`.
VWAP & Sessions: `vwapMode`, `showVwapLine`, `vwapAlertDisplace`, `killSession`, `nySession`, `showSessionShade`, `rangeBars`.
FVG/Risk: `fvgMinTicks`, `fvgLookback`, `fvgMinSpacing`, `killZoneOnly`, `liqTargetMultiple`, `swingLookback`.
Visualization Toggles: `showSignalMarkers`, `showHeatmapBand`, `showInfoPanel`, `showStylizedCandles`.
Workflow Recipes
Kill-Zone Continuation: During the defined kill session, look for `killFvgLong` or `killFvgShort` arrows that line up with `sentimentValid` and positive `momoComposite`. Use the HUDโs risk readout to confirm SL/TP distances before entering.
VWAP Raid Fade: Outside kill zone, track `raidToVwapLong/Short`. Confirm the candle body exceeds the displacement multiplier, and price crosses back toward VWAP before considering reversions.
Range Break Monitor: After the initial balance locks, mark `rangeBreakLong/Short` circles only when the momentum band is >0 or <0 respectively and a fresh FVG box sits near price.
Liquidity Spike Review: When the HUD shows โLiquidityโ timestamps, hover the plotted squares at chart bottom to see whether spikes were buy/sell oriented and if local FVGs formed immediately after.
Metadata
Author: officialjackofalltrades
Platform: TradingView (Pine Script v6)
Category: Sentiment + Liquidity Intelligence
Hope you Enjoy!
Multi EMA (10)Allows you to add and configure up to 10 EMAs to your chart with a single indicator. Enjoy.
EMA Color Cross + Trend Bars + Background BY ฤฐNCEBACAK//@version=5
indicator("EMA Color Cross + Trend Bars + Background", overlay=true)
// EMA ayarlarฤฑ
shortEMA = input.int(9, "Short EMA")
longEMA = input.int(21, "Long EMA")
emaShort = ta.ema(close, shortEMA)
emaLong = ta.ema(close, longEMA)
// Trend yรถnรผ
trendUp = emaShort > emaLong
trendDown = emaShort < emaLong
// EMA รงizgileri trend yรถnรผne gรถre renk deฤiลtirsin
plot(emaShort, color=trendUp ? color.green : color.red, linewidth=4)
plot(emaLong, color=trendUp ? color.green : color.red, linewidth=4)
// Barlarฤฑ trend yรถnรผne gรถre renklendir
barcolor(trendUp ? color.green : color.red)
// Arka plan trend yรถnรผne gรถre
bgcolor(trendUp ? color.new(color.green, 85) : color.new(color.red, 85))
// Kesiลim sinyalleri ve oklar
longSignal = ta.crossover(emaShort, emaLong)
shortSignal = ta.crossunder(emaShort, emaLong)
plotshape(longSignal, title="Long", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.large)
plotshape(shortSignal, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.large)
โช SILVER โ RISK MATRIX + UQ vC (Final HUD)Silver RISK MATRIX + UQ vC is an advanced Pine Script v5 indicator for silver futures (SIL) trading, featuring a 3-column bottom-right HUD combining a 7-factor risk matrix with UQ predictive scoring. It quantifies position, structure, trend conflicts, impulse, volume, fake breaks, and VWAP deviation into total risk levels (LOW/MEDIUM/HIGH) while fusing predictive BUY/SELL probabilities with directional risk and multi-timeframe trend boosts.โ
Risk Matrix Breakdown
Position Risk
Measures % distance to 18-period support/resistance: <0.10% resistance = high risk (๐ฅ๐ฅ), <0.25% = medium (๐งโฌ), <0.10% support = safe (๐ฉโฌ). Silver-tuned for tight proximity sensitivity.โ
Structure Risk
Detects pivot-based CHoCH conflicts (close breaks prior HH/HL but structure opposes) or fake breaks, scoring 2 for conflicts using tight 2-left/2-right pivots suited to silver's volatility.โ
Other Factors
Trend Conf: 5m vs 30m EMA40 mismatch (2 points).
Impulse: Body >1.2x 4-period EMA abs body (exhaustion).
Volume: >3.2x/2.2x 20-SMA thresholds for extreme/obvious surges.
Fake Break: Wick >1.2x body (top/bottom).
VWAP: >1.2%/0.6% deviation. Total โฅ6=HIGH (red), โฅ3=MEDIUM (orange).โ
UQ Predictive Engine
Base Prediction
Averages flow (OBV+price), momentum (RSI/MFI), VWAP, trend (EMA20/50), turbo (BB width expansion) into pred_buy/sell (0-1 normalized).โ
Directional Risk
BUY risk weights fakeUp wicks, impulse, bear vol, low position; SELL mirrors. Clamped 0-1.โ
Trend Boost
Adds 15% for 2H alignment, 10% for 30m, 5% for VWAP (directional).โ
Final Fusion
BUY_FINAL = 55% pred + 25% risk + 20% boost; normalized vs SELL counterpart. Displays blocks (๐ฉ๐ฉ๐ฉ๐ฉ=โฅ80%) and stars (โญโญโญโญโญ=โฅ85%).โ
HUD Layout & Usage
20-row table separates RISK MATRIX (rows 1-10) from UQ (11-18): metric | visual box/block | Chinese explanation. Perfect for silver's high-volatility scalping, balancing exhaustive risk scanning with probabilistic edge quantification. Ready in both English and Chinese
โญ Silver HUD v15.1 โ Full Notes Version (3-Column HUD)Silver HUD v15.1 is a comprehensive Pine Script v5 indicator designed for micro silver futures (SIL) trading on TradingView. It overlays a 3-column HUD table displaying real-time analysis across multiple engines including trend, flow, momentum, pullback, turbo (breakout), divergence, volume, and 2H structure. The system generates weighted BUY/SELL scores and final signals with risk warnings, optimized for 5m charts with 30m support/resistance levels.โ
Core Components
Support/Resistance & Trade Levels
Pulls 30m lowest low (support) and highest high (resistance) for entry/stop/TP calculation. Entry defaults to support, stop loss at support - 0.10, with ATR-based TPs (1x/2x/3x). Risk per lot factors SIL contract specs (1000oz, $5/tick). Alerts when price nears support within 0.05.โ
Multi-Engine Analysis
TREND: EMA20/50 + VWAP direction (UP/DOWN/MIXED).
FLOW: CCIOBV (CCI+OBV) + QQE momentum sync.
MOMENTUM: RSI/MFI >55 (UP) or <45 (DOWN).
PB (Pullback): EMA20 deviation (-0.4% to +1.2% = OK; flags CHASE/DEEP).
TURBO: ATR percentile + BB width squeeze for BREAKOUT/EXHAUST.
Scores weight flow (30%), momentum (25%), PB (25%), trend/turbo (10-20%). BUY โฅ75, SELL โฅ72 triggers raw signals.โ
Advanced Features
2H Structure: Detects HH/HL/LL/LH swings for macro bias (UP/DOWN/MIXED).
SELL System: Distinguishes SELL-ALERT (exhaustion) vs full SELL-REVERSAL (multi-condition bear flip).
Divergence & Volume: RSI-based bear/bull div on swing highs/lows; surge detection (>2x vol MA or 80th percentile).
Final Signal: Combines raw scores with filters (no DEEP PB for BUY, 2H tiebreaker); RISK flags conflicts like div or trend mismatches.โ
HUD Display & Usage
Renders a bottom-right table with metric, status (color-coded), and Chinese explanations. Stars rate scores (โ
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=90+). Ideal for high-frequency SIL traders monitoring multi-timeframe confluence on 5m charts.
21D EMA STRUCTUREAs an intermediate-term swing trader, the 21-day moving average is the backbone of my system. Over time, Iโve simplified my approach to the point where this is really the only indicator I keep on my charts โ aside from a few key lines to help define structure and pivots.
TWAP (Monthly 1700CT)This TWAP is Anchored to the 1700CT open of the day prior to the new month trading day. New Month TWAP.
Moving Average + Candle LeverageWhat if you could extract more value from each trade based on your stop loss and entry, increasing your leverage safely? Could your winning trades be even more profitable?
This indicator uses a single selectable moving average (SMA, EMA, WMA, HMA, or VWMA) to calculate safe leverage per candle, allowing traders to maximize each trade within a defined stop loss. Actual profit remains variable depending on market movement and applied leverage.
How signals appear and how leverage is determined
L (green): signals that price crossed above the moving average (potential long entry).
S (red): signals that price crossed below the moving average (potential short entry).
Each crossover shows a label with โxโ, indicating the theoretical safe leverage for that candle.
How safe leverage is calculated:
Long: close รท (close โ candle low)
Short: close รท (candle high โ close)
How leverage is applied:
Identify the signal candle and record close, high, and low.
Calculate the difference between the close price and the stop price (low for Long, high for Short).
The percentage difference between these prices is our safe leverage: the smaller the difference, the higher the leverage possible, always respecting the stop loss.
The โxโ label shows this maximum leverage, protecting the position balance using the candleโs stop loss.
Actual profit will still depend on market movement, but the stop loss is already defined and secure.
Main benefits:
Maximize trade potential with known stop loss
Plan entries and position sizing safely
Clearly visualize safe leverage per candle
Simple, efficient, and educational
Disclaimer:
The indicator does not execute trades automatically and is not a full trading system. It is intended solely for educational purposes and safe leverage management.
My WatchlistUse Case
Do you belong to a group of traders that post key levels based on their technical analysis to be utilized for trading opportunities? The goal of this indicator is to reduce your daily prep time by allowing you to paste in the actual level values instead of trying to manually create each of the horizontal lines.
How it works
Simply enter the values of the key levels for the tickers that you would like to plot horizontal lines for. If you don't want to plot a level just leave the value as zero and it will be ignored.
Settings
You can enable/disable any of the levels
You can change the colors of the levels
You can add Previous Day High and Previous Day Low levels to the chart
MM Wash Detector - Child WordsName: MM Wash Detector โ Child Words
MM = Market Maker (the big players who can push the price around to grab other peopleโs money/liquidity).
What it looks at:
This indicator looks at weekly candles (big picture, not tiny intraday moves) and checks for two things:
Bear Wash (BW) โ โPrice got pushed downโ:
The candle had a long lower wick (price went down a lot)
The body of the candle is small (not much net movement down)
Volume is okay (not too low)
Interpretation: The big players tried to push the price down to make people sell, but the price recovered.
Child-friendly label: โPrice went down, maybe now it goes up ๐โ
Bull Wash (SW) โ โPrice got pushed upโ:
The candle had a long upper wick (price went up a lot)
The body of the candle is small (not much net movement up)
Volume is okay (not too low)
Interpretation: The big players tried to push the price up to make people buy, but the price fell back.
Child-friendly label: โPrice went up, maybe now it goes down ๐ฏโ
Stock Relative Strength Rotation Graph๐ Visualizing Market Rotation & Momentum (Stock RSRG)
This tool visualizes the sector rotation of your watchlist on a single graph. Instead of checking 40 different charts, you can see the entire market cycle in one view. It plots Relative Strength (Trend) vs. Momentum (Velocity) to identify which assets are leading the market and which are lagging.
๐ Credits & Disclaimer
Original Code: Adapted from the open-source " Relative Strength Scatter Plot " by LuxAlgo.
Trademark: This tool is inspired by Relative Rotation Graphsยฎ. Relative Rotation Graphsยฎ is a registered trademark of JOOS Holdings B.V. This script is neither endorsed, nor sponsored, nor affiliated with them.
๐ How It Works (The Math)
The script calculates two metrics for every symbol against a benchmark (Default: SPX):
X-Axis (RS-Ratio): Is the trend stronger than the benchmark? (>100 = Yes)
Y-Axis (RS-Momentum): Is the trend accelerating? (>100 = Yes)
๐งฉ The 4 Market Quadrants
๐ฉ Leading (Top-Right): Strong Trend + Accelerating. (Best for holding).
๐ฆ Improving (Top-Left): Weak Trend + Accelerating. (Best for entries).
โฌ Weakening (Bottom-Right): Strong Trend + Decelerating. (Watch for exits).
๐ฅ Lagging (Bottom-Left): Weak Trend + Decelerating. (Avoid).
โจ Significant Improvements
This open-source version adds unique features not found in standard rotation scripts:
๐ Quick-Input Engine: Paste up to 40 symbols as a single comma-separated list (e.g., NVDA, AMD, TSLA). No more individual input boxes.
๐ฏ Quadrant Filtering: You can now hide specific quadrants (like "Lagging") to clear the noise and focus only on actionable setups.
๐ Trajectory Trails: Visualizes the historical path of the rotation so you can see the direction of momentum.
๐ ๏ธ How to Use
Paste Watchlist: Go to settings and paste your symbols (e.g., US Sectors: XLK, XLF, XLE...).
Find Entries: Look for tails moving from Improving โ Leading.
Find Exits: Be cautious when tails move from Leading โ Weakening.
Zoom: Use the "Scatter Plot Resolution" setting to zoom in or out if dots are bunched up.
