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Bill Williams Indicators

Liquidity Sweep Master 2ND INDICATOR (NEW)advanced smart money and price action indicator designed to help traders identify market structure shifts, liquidity sweeps, and trend continuation setups in real time. The indicator automatically detects and labels Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL) while drawing a clean ZigZag structure for easier market visualization. Built-in liquidity sweep detection highlights potential reversal zones using bullish and bearish liquidity boxes after stop hunts occur. This tool is perfect for ICT concepts, Smart Money Concepts (SMC), scalping, futures trading, forex, and intraday trading strategies. Traders can use the structure and liquidity sweeps to plan precise entries, stop losses above or below sweep zones, and take profit targets based on market structure or risk-to-reward setups.
Pine Scriptยฎ indicator
by arreolajuliojr969
Linda Raschke Scalping - Box SignalStrategy Description (Short & Sharp) Linda Raschke Scalping is a mean-reversion scalping strategy that combines EMA 20 cross with MACD zero-line crossover, waiting for confirmation from the second event within a maximum of 5 bars. Core Logic: Setup: Price crosses EMA 20 (with bullish/bearish candle) OR MACD crosses zero line Entry: Second event must occur within 5 bars to confirm the signal Direction: Both price and MACD must align in the same direction Filters Applied: MACD Noise Filter โ€“ Ignores tiny crossovers below a minimum threshold to avoid whipsaws Time Filter โ€“ Limits trading to specific sessions (e.g., high-liquidity hours) Best Suited For: Instruments: Liquid forex pairs (EUR/USD, GBP/USD, USD/JPY), index futures (ES, NQ) Timeframes: 1-min to 5-min charts (true scalping) Session: High-volume periods (London open, NY open, London-NY overlap) Signal Types: ๐ŸŸข LONG: Price crosses above EMA 20 โ†’ wait for MACD above zero | OR MACD crosses above zero โ†’ wait for price above EMA 20 ๐Ÿ”ด SHORT: Price crosses below EMA 20 โ†’ wait for MACD below zero | OR MACD crosses below zero โ†’ wait for price below EMA 20 Key Advantage: Reduces false signals by requiring dual confirmation from both momentum (MACD) and trend (EMA), plus noise filtering for choppy markets.
Pine Scriptยฎ indicator
by Phuphiemzz
Williams %R Jaggedness fix The standard Williams %R is extremely jagged. Relying on a naive (Highest - Close) / (Highest - Lowest) look-back formula makes it a victim of spatial illusion. It is highly vulnerable to "salt-and-pepper" noise, intraday microstructure stop-hunts, and high-frequency volatility spikes. It generates an erratic, jagged signal that triggers false regime shifts, trapping retail liquidity. Solving the jaggedness problem is not about applying a single, lagging moving average. It requires a continuous-time signal processing pipeline. I developed 4, sovereign hypotheses to isolate the true kinematic intent of the market. โ–บ HYPOTHESIS I: The Robust Nonlinear Butterworth %R (RNB-R) The Mechanism: Amplitude and Noise Filtering. The Execution: We cleanse the raw data using a 3-period Median Filter to instantly reject 1-bar liquidity sweeps without introducing lag. The resulting %R is then dynamically smoothed via a Volatility-Adaptive SuperSmoother. The lookback adapts kinematicallyโ€”tightening during explosive volatility to capture breakouts, and expanding during consolidation to ignore chop. โ–บ HYPOTHESIS II: The Decycled Zero-Lag Cycle Oscillator (DZL-R) The Mechanism: Frequency Cancellation. The Execution: We abandon the concept of "averaging" entirely. Using a 48-bar High-Pass filter, we isolate and subtract the high-frequency spectral noise directly from the price (Decycling). By mapping the Williams %R onto this Decycled Price, we produce a zero-lag, wave-like signal that perfectly reflects pure trend movement while ignoring micro-structural noise. โ–บ HYPOTHESIS III: The IMF-Extracted Persistent Shape Wave (IMF-W) The Mechanism: Spectral Shape Fitting & Empirical Mode Decomposition (EMD). The Execution: We deconstruct the continuous price manifold into its intrinsic cyclical modes. We discard IMF 1 (high-frequency noise) and the residual (ultra-slow drift). By reconstructing the asset using only IMF 2 and IMF 3, we force the Williams %R to measure purely persistent, rhythmic structural cycles. โ–บ HYPOTHESIS IV: The Bipolar Inverse Fisher Williams %R (BIF-R) The Mechanism: Probability Distribution Transformation. The Execution: To maximize state persistence, we smooth the standard oscillator with a 2-pole Gaussian filter, normalize it, and compress it through an Inverse Fisher Transform. This mathematical thermodynamic shift forces the oscillator into a bimodal, polarized state. It snaps quickly between extremes and stays there, eliminating nervous jaggedness in favor of pure regime tokenization.
Pine Scriptยฎ indicator
by mjrodriguezorlich69
Saeu v5 SMC+ Fixed//@version=6 strategy( "Saeu v5 SMC+ Fixed", overlay=true, initial_capital=1000, commission_value=0.04) // ===================================================== // ์ž…๋ ฅ // ===================================================== risk_pct = input.float(1.0, "Risk %") * 0.01 atr_sl = input.float(1.5, "Stop ATR") atr_tp1 = input.float(2.5, "TP1 ATR") atr_tp2 = input.float(4.0, "TP2 ATR") use_fvg = input.bool(true, "Use FVG") use_mtf = input.bool(true, "Use MTF") use_vol = input.bool(true, "Use Volume") start_h = input.int(0, "Start Hour") end_h = input.int(0, "End Hour") // ===================================================== // ์ง€ํ‘œ // ===================================================== ema50 = ta.ema(close, 50) ema200 = ta.ema(close, 200) atr14 = ta.atr(14) rsi14 = ta.rsi(close, 14) = ta.dmi(14, 14) sma20 = ta.sma(close, 20) volMa = ta.sma(volume, 20) // ===================================================== // FVG // ===================================================== fvg_bull = low > high fvg_bear = high < low // ===================================================== // MTF // ===================================================== mtf_ema50 = request.security( syminfo.tickerid, "15", ta.ema(close, 50)) mtf_bull = close > mtf_ema50 // ===================================================== // ์กฐ๊ฑด // ===================================================== long_cond = close > ema50 and close > ema200 and rsi14 > 50 and adx >= 20 short_cond = close < ema50 and close < ema200 and rsi14 < 50 and adx >= 20 // ===================================================== // FVG ํ•„ํ„ฐ // ===================================================== if use_fvg long_cond := long_cond and fvg_bull short_cond := short_cond and fvg_bear // ===================================================== // MTF ํ•„ํ„ฐ // ===================================================== if use_mtf long_cond := long_cond and mtf_bull short_cond := short_cond and not mtf_bull // ===================================================== // ๊ฑฐ๋ž˜๋Ÿ‰ ํ•„ํ„ฐ // ===================================================== if use_vol long_cond := long_cond and volume > volMa short_cond := short_cond and volume > volMa // ===================================================== // ์‹œ๊ฐ„ ํ•„ํ„ฐ // ===================================================== time_ok = (start_h == end_h) or (hour >= start_h and hour <= end_h) long_cond := long_cond and time_ok short_cond := short_cond and time_ok // ===================================================== // ์ˆ˜๋Ÿ‰ ๊ณ„์‚ฐ // ===================================================== risk_cap = strategy.initial_capital * risk_pct qty = risk_cap / (atr14 * atr_sl * syminfo.pointvalue) qty := math.max(math.floor(qty), 1) // ===================================================== // ๋กฑ // ===================================================== if long_cond and strategy.position_size == 0 strategy.entry( "L", strategy.long, qty=qty) sl = close - atr14 * atr_sl tp1 = close + atr14 * atr_tp1 tp2 = close + atr14 * atr_tp2 strategy.exit( "L TP1", "L", limit=tp1, stop=sl, qty_percent=50) strategy.exit( "L TP2", "L", limit=tp2, stop=sl, qty_percent=100) // ===================================================== // ์ˆ // ===================================================== if short_cond and strategy.position_size == 0 strategy.entry( "S", strategy.short, qty=qty) sl = close + atr14 * atr_sl tp1 = close - atr14 * atr_tp1 tp2 = close - atr14 * atr_tp2 strategy.exit( "S TP1", "S", limit=tp1, stop=sl, qty_percent=50) strategy.exit( "S TP2", "S", limit=tp2, stop=sl, qty_percent=100) // ===================================================== // ์‹œ๊ฐํ™” // ===================================================== plot(ema50, color=color.orange) plot(ema200, color=color.blue) plotshape( long_cond, title="LONG", style=shape.labelup, location=location.belowbar, color=color.green) plotshape( short_cond, title="SHORT", style=shape.labeldown, location=location.abovebar, color=color.red)
Pine Scriptยฎ strategy
by klz840307
MTF Flow Liquidity Bands PROMTF Flow Liquidity Bands PRO is a smooth multi-timeframe liquidity and flow visualization system designed to map market structure, trend pressure, volatility expansion, and dynamic liquidity zones directly on the price chart. Unlike traditional EMA channels, Bollinger Bands, or Keltner Channels, this indicator creates organic โ€œbreathingโ€ liquidity envelopes that adapt to momentum, volatility flow, and multi-timeframe market structure. The system was specifically designed for fast-moving markets such as: NASDAQ / US100 BTCUSD XAUUSD major Forex pairs but it can also be used on most liquid assets. Core Concept The indicator models the market as a dynamic liquidity flow system rather than a simple moving average trend. It combines: smoothed EMA structure flow expansion volatility pressure multi-timeframe liquidity curves adaptive envelopes to create smooth institutional-style market zones. The result is: no stair-stepping no rigid channels no aggressive EMA noise Instead, the bands behave like flowing liquidity tunnels. What The Indicator Shows The system displays multiple stacked liquidity bands: Chart TF โ†’ local microstructure x5 โ†’ intraday flow x15 โ†’ session trend structure H1 โ†’ dominant trend body H4 โ†’ macro directional flow D1 โ†’ institutional equilibrium / market magnet Each timeframe acts like a dynamic liquidity layer. Smaller timeframes react faster. Higher timeframes react slower and smoother. How The Bands Work Each band consists of: Basis Line Upper Liquidity Band Lower Liquidity Band The bands expand and contract dynamically depending on: momentum volatility flow pressure trend acceleration The system does NOT use fixed volatility calculations like Bollinger Bands. Instead, it measures: the distance between fast and slow smoothed flows directional pressure volatility curvature This creates organic market envelopes that โ€œbreatheโ€ with price action. What The Colors Mean Each timeframe has its own color. Color intensity and transparency help visualize: active trend flow weakening momentum liquidity compression expansion phases When bands become tighter: market compression increases breakout probability rises When bands expand: momentum and volatility increase trend continuation becomes more likely How To Trade It 1. Trend Alignment The strongest trends occur when: Chart TF x5 x15 H1 all point in the same direction. This creates full liquidity alignment. Example: all bands rising all bands stacked upward price holding above band midlines โ†’ strong bullish trend environment. 2. Liquidity Compression When bands tighten and compress: volatility is decreasing energy is building Compression often appears before: breakouts NY session expansions trend acceleration Tight stacked bands usually indicate: low volatility equilibrium upcoming expansion phase 3. Expansion Trading When bands rapidly widen: volatility expands liquidity imbalance appears directional momentum increases This is often the best phase for: trend continuation trades momentum scalps breakout entries Especially on NASDAQ and BTC. 4. Mean Reversion Price often overextends beyond local bands while still remaining inside higher timeframe bands. Example: price aggressively breaks Chart TF band but H1/H4 bands remain intact This frequently leads to: pullbacks liquidity reversion trend resets Higher timeframe bands act like liquidity magnets. 5. Daily Band (D1) The D1 band is not intended for precise entries. It acts as: institutional equilibrium macro liquidity zone long-term magnet field When price reaches extreme distance from the D1 structure: probability of exhaustion increases reversals become more likely Best Use Cases This system works exceptionally well for: NASDAQ scalping BTC momentum trading Gold trend trading intraday liquidity analysis It is especially effective in: trending markets momentum environments volatility expansion phases Recommended Trading Style Best suited for: scalping intraday trading momentum trading trend continuation liquidity-based execution Less suitable for: illiquid assets extremely choppy low-volume markets Key Advantages Smooth non-stepped curves Organic liquidity structure Multi-timeframe flow visualization Dynamic volatility adaptation Excellent trend clarity Strong compression/expansion detection Institutional-style market behavior Important Notes This indicator is NOT: a signal generator a predictive AI system an orderflow tool a volume profile It is a market structure and liquidity flow framework designed to help traders: understand trend pressure identify volatility states visualize liquidity expansion trade with higher timeframe flow alignment rather than against it.
Pine Scriptยฎ indicator
by Sachse-1980
three StochasticTriple Stochastic Waves ๋‹จ๊ธฐ ยท ์ค‘๊ธฐ ยท ์žฅ๊ธฐ ์Šคํ† ์บ์Šคํ‹ฑ 3๊ฐœ๋ฅผ ํ•œ ํ™”๋ฉด์—์„œ ๋™์‹œ์— ํ™•์ธํ•˜๋Š” ๋ฉ€ํ‹ฐํƒ€์ž„ํ”„๋ ˆ์ž„ ๋ชจ๋ฉ˜ํ…€ ์ง€ํ‘œ Overview This indicator overlays three Stochastic oscillators โ€” fast (5/3/3), medium (14/3/3), and slow (21/3/3) โ€” on a single pane. By visualizing all three waves simultaneously, traders can instantly identify momentum alignment across short, mid, and long-term cycles without switching timeframes. ์„ธ ๊ฐœ์˜ ์Šคํ† ์บ์Šคํ‹ฑ(5/3/3, 14/3/3, 21/3/3)์„ ํ•˜๋‚˜์˜ ํŒจ๋„์— ๊ฒน์ณ์„œ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค. ๋‹จ๊ธฐยท์ค‘๊ธฐยท์žฅ๊ธฐ ๋ชจ๋ฉ˜ํ…€์˜ ํ๋ฆ„์„ ํƒ€์ž„ํ”„๋ ˆ์ž„ ์ „ํ™˜ ์—†์ด ํ•œ๋ˆˆ์— ๋น„๊ตํ•  ์ˆ˜ ์žˆ์–ด, ์ถ”์„ธ ์ „ํ™˜ ์‹œ์ ๊ณผ ๊ณผ๋งค์ˆ˜/๊ณผ๋งค๋„ ๊ตฌ๊ฐ„์„ ๋ณด๋‹ค ์ •๋ฐ€ํ•˜๊ฒŒ ํฌ์ฐฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. Settings / ์„ค์ •๊ฐ’ Wave 1 (๋‹จ๊ธฐ) โ€” 5 / 3 / 3 Wave 2 (์ค‘๊ธฐ) โ€” 14 / 3 / 3 Wave 3 (์žฅ๊ธฐ) โ€” 21 / 3 / 3 How to use / ์‚ฌ์šฉ ๋ฐฉ๋ฒ• โ‘  Triple alignment (3ํŒŒ ์ •๋ ฌ) When all three waves are simultaneously below 20 or above 80, the signal has the highest reliability. ์„ธ ํŒŒ๋™์ด ๋™์‹œ์— 20 ์ดํ•˜(๊ณผ๋งค๋„) ๋˜๋Š” 80 ์ด์ƒ(๊ณผ๋งค์ˆ˜) ๊ตฌ๊ฐ„์— ์ง„์ž…ํ•˜๋ฉด ์‹ ๋ขฐ๋„ ๋†’์€ ์ง„์ž… ์‹œ์ ์œผ๋กœ ํŒ๋‹จํ•ฉ๋‹ˆ๋‹ค. โ‘ก Wave sequence (ํŒŒ๋™ ์ˆœ์„œ ํ™•์ธ) A reversal is more likely when Wave 1 (fast) turns first, followed by Wave 2, then Wave 3. ๋‹จ๊ธฐ(5) โ†’ ์ค‘๊ธฐ(14) โ†’ ์žฅ๊ธฐ(21) ์ˆœ์„œ๋กœ ๋ฐฉํ–ฅ์ด ์ „ํ™˜๋  ๋•Œ ์ถ”์„ธ ์ „ํ™˜ ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์Šต๋‹ˆ๋‹ค. โ‘ข Divergence (๋‹ค์ด๋ฒ„์ „์Šค ํฌ์ฐฉ) Compare price action against the slow wave (21/3/3) to spot hidden divergences. ์žฅ๊ธฐ ํŒŒ๋™(21/3/3)๊ณผ ๊ฐ€๊ฒฉ์˜ ๋ฐฉํ–ฅ์ด ์—‡๊ฐˆ๋ฆฌ๋Š” ๋‹ค์ด๋ฒ„์ „์Šค๋ฅผ ๊ด€์ฐฐํ•˜๋ฉด ์ถ”์„ธ ์•ฝํ™”๋ฅผ ๋ฏธ๋ฆฌ ๊ฐ์ง€ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. Notes / ์œ ์˜์‚ฌํ•ญ This indicator works best with additional confirmation (volume, price structure) and is not a standalone signal. ๋‹ค๋ฅธ ์ง€ํ‘œ(๊ฑฐ๋ž˜๋Ÿ‰, ์บ”๋“คํŒจํ„ด ๋“ฑ)์™€ ํ•จ๊ป˜ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์„ ๊ถŒ์žฅํ•˜๋ฉฐ, ๋‹จ๋… ๋งค๋งค ์‹ ํ˜ธ๋กœ ์‚ฌ์šฉํ•˜์ง€ ๋งˆ์„ธ์š”. Suitable for all timeframes. Recommended: 1H and above for swing trading. ๋ชจ๋“  ํƒ€์ž„ํ”„๋ ˆ์ž„์—์„œ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•˜๋ฉฐ, ์Šค์œ™ ํŠธ๋ ˆ์ด๋”ฉ์—๋Š” 1์‹œ๊ฐ„๋ด‰ ์ด์ƒ์„ ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค. Tags: stochastic, momentum, oscillator, multi-timeframe, overbought oversold
Pine Scriptยฎ indicator
by siuuu0619
Smart Money Pro - ICT/FVG + Volume Profile//@version=5 indicator("Smart Money Pro - ICT/FVG + Volume Profile", overlay=true, max_bars_back=500, max_lines_count=500, max_boxes_count=500, max_labels_count=500) // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // SETTINGS // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• grp1 = "๐ŸŽฏ Signal Settings" swingLen = input.int(10, "Swing Length", minval=3, maxval=50, group=grp1) riskReward1 = input.float(1.0, "TP1 RR", minval=0.5, step=0.5, group=grp1) riskReward2 = input.float(2.0, "TP2 RR", minval=1.0, step=0.5, group=grp1) riskReward3 = input.float(3.0, "TP3 RR", minval=1.5, step=0.5, group=grp1) grp2 = "๐Ÿ“ฆ FVG Settings" showFVG = input.bool(true, "Show FVG", group=grp2) fvgBullColor = input.color(color.new(color.green, 80), "Bullish FVG", group=grp2) fvgBearColor = input.color(color.new(color.red, 80), "Bearish FVG", group=grp2) grp3 = "๐ŸŒ Session Settings" showSessions = input.bool(true, "Show Sessions", group=grp3) showLondon = input.bool(true, "London (08:00-17:00 GMT)", group=grp3) showNY = input.bool(true, "New York (13:00-22:00 GMT)", group=grp3) showTokyo = input.bool(true, "Tokyo (00:00-09:00 GMT)", group=grp3) showSydney = input.bool(true, "Sydney (21:00-06:00 GMT)", group=grp3) londonColor = input.color(color.new(#2196F3, 90), "London Color", group=grp3) nyColor = input.color(color.new(#FF5722, 90), "New York Color", group=grp3) tokyoColor = input.color(color.new(#9C27B0, 90), "Tokyo Color", group=grp3) sydneyColor = input.color(color.new(#4CAF50, 90), "Sydney Color", group=grp3) grp4 = "๐ŸŽจ Visual Settings" showLabels = input.bool(true, "Show Entry/SL/TP Labels", group=grp4) labelSize = input.string("normal", "Label Size", options= , group=grp4) grp5 = "๐Ÿ“Š Volume Profile Settings" showVP = input.bool(true, "Show Volume Profile", group=grp5) vpRange = input.int(100, "Bars Back (Range)", minval=10, maxval=500, group=grp5) vpRows = input.int(30, "Rows", minval=10, maxval=100, group=grp5) vpWidth = input.int(8, "Bar Width", minval=1, maxval=20, group=grp5) vpBullCol = input.color(color.new(#26A69A, 60), "Bull Volume Color", group=grp5) vpBearCol = input.color(color.new(#EF5350, 60), "Bear Volume Color", group=grp5) vpPocCol = input.color(color.new(#FFD700, 0), "POC Color", group=grp5) showPOC = input.bool(true, "Show POC Line", group=grp5) showVAH = input.bool(true, "Show VAH/VAL (70%)", group=grp5) // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // SWING HIGH / LOW // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• swingHigh = ta.pivothigh(high, swingLen, swingLen) swingLow = ta.pivotlow(low, swingLen, swingLen) var float lastSwingHigh = na var float lastSwingLow = na if not na(swingHigh) lastSwingHigh := swingHigh if not na(swingLow) lastSwingLow := swingLow // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // MARKET STRUCTURE // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• var float structureHigh = na var float structureLow = na var bool bullishBias = false var bool bearishBias = false if not na(swingHigh) if swingHigh > structureHigh or na(structureHigh) structureHigh := swingHigh bullishBias := true bearishBias := false if not na(swingLow) if swingLow < structureLow or na(structureLow) structureLow := swingLow bearishBias := true bullishBias := false // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // EMA // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ema20 = ta.ema(close, 20) ema50 = ta.ema(close, 50) // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // FVG DETECTION // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• bullFVG = low > high bearFVG = high < low if showFVG if bullFVG box.new(bar_index , low, bar_index + 20, high , border_color=color.new(color.green, 60), bgcolor=fvgBullColor, border_width=1) if bearFVG box.new(bar_index , high, bar_index + 20, low , border_color=color.new(color.red, 60), bgcolor=fvgBearColor, border_width=1) // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // BUY / SELL SIGNAL // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• bullSignal = bullFVG and close > open and bullishBias and ta.crossover(close, ema20) bearSignal = bearFVG and close < open and bearishBias and ta.crossunder(close, ema20) // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // LABEL SIZE FUNCTION // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• getLabelSize() => switch labelSize "tiny" => size.tiny "small" => size.small "large" => size.large => size.normal // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // BUY - SL / TP // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• if bullSignal and not na(lastSwingLow) sl = lastSwingLow - syminfo.mintick * 5 risk = close - sl tp1 = close + risk * riskReward1 tp2 = close + risk * riskReward2 tp3 = close + risk * riskReward3 if showLabels label.new(bar_index, low - risk * 0.3, "โ–ฒ BUY Entry: " + str.tostring(close, "#.#####") + " SL: " + str.tostring(sl, "#.#####") + " TP1: " + str.tostring(tp1, "#.#####") + " TP2: " + str.tostring(tp2, "#.#####") + " TP3: " + str.tostring(tp3, "#.#####"), color=color.new(#00E676, 10), textcolor=color.white, style=label.style_label_up, size=getLabelSize()) line.new(bar_index, sl, bar_index+30, sl, color=color.red, width=2, style=line.style_dashed) line.new(bar_index, tp1, bar_index+30, tp1, color=color.new(color.green, 50), width=1, style=line.style_dotted) line.new(bar_index, tp2, bar_index+30, tp2, color=color.green, width=1, style=line.style_dotted) line.new(bar_index, tp3, bar_index+30, tp3, color=color.new(#00E676, 0), width=2, style=line.style_dotted) // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // SELL - SL / TP // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• if bearSignal and not na(lastSwingHigh) sl = lastSwingHigh + syminfo.mintick * 5 risk = sl - close tp1 = close - risk * riskReward1 tp2 = close - risk * riskReward2 tp3 = close - risk * riskReward3 if showLabels label.new(bar_index, high + risk * 0.3, "โ–ผ SELL Entry: " + str.tostring(close, "#.#####") + " SL: " + str.tostring(sl, "#.#####") + " TP1: " + str.tostring(tp1, "#.#####") + " TP2: " + str.tostring(tp2, "#.#####") + " TP3: " + str.tostring(tp3, "#.#####"), color=color.new(#FF1744, 10), textcolor=color.white, style=label.style_label_down, size=getLabelSize()) line.new(bar_index, sl, bar_index+30, sl, color=color.red, width=2, style=line.style_dashed) line.new(bar_index, tp1, bar_index+30, tp1, color=color.new(color.green, 50), width=1, style=line.style_dotted) line.new(bar_index, tp2, bar_index+30, tp2, color=color.green, width=1, style=line.style_dotted) line.new(bar_index, tp3, bar_index+30, tp3, color=color.new(#00E676, 0), width=2, style=line.style_dotted) // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // FIXED RANGE VOLUME PROFILE - ะ—าฎาฎะ ะขะะ›ะ” // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• if showVP and barstate.islast float rangeHigh = na float rangeLow = na for i = 0 to vpRange - 1 rangeHigh := na(rangeHigh) ? high : math.max(rangeHigh, high ) rangeLow := na(rangeLow) ? low : math.min(rangeLow, low ) rowSize = (rangeHigh - rangeLow) / vpRows volByRow = array.new_float(vpRows, 0.0) bullVolRow = array.new_float(vpRows, 0.0) bearVolRow = array.new_float(vpRows, 0.0) for i = 0 to vpRange - 1 rowIdx = int((close - rangeLow) / rowSize) rowIdx := math.min(math.max(rowIdx, 0), vpRows - 1) vol = volume array.set(volByRow, rowIdx, array.get(volByRow, rowIdx) + vol) if close >= open array.set(bullVolRow, rowIdx, array.get(bullVolRow, rowIdx) + vol) else array.set(bearVolRow, rowIdx, array.get(bearVolRow, rowIdx) + vol) maxVol = array.max(volByRow) pocIdx = array.indexof(volByRow, maxVol) totalVol = array.sum(volByRow) // VAH/VAL ั‚ะพะพั†ะพั… vaVol = totalVol * 0.70 cumVol = array.get(volByRow, pocIdx) vahIdx = pocIdx valIdx = pocIdx upIdx = pocIdx + 1 downIdx = pocIdx - 1 while cumVol < vaVol upVol = upIdx <= vpRows - 1 ? array.get(volByRow, upIdx) : 0.0 downVol = downIdx >= 0 ? array.get(volByRow, downIdx) : 0.0 if upVol >= downVol cumVol += upVol vahIdx := upIdx upIdx += 1 else cumVol += downVol valIdx := downIdx downIdx -= 1 if upIdx > vpRows - 1 and downIdx < 0 break // โ”€โ”€ ะ—าฎาฎะ ะขะะ›ะ” ะทัƒั€ะฐั… โ”€โ”€ // Range ัั…ะปัั… bar-ะฐะฐั ะทาฏาฏะฝ ั‚ะธะนัˆ startBar = bar_index - vpRange // range-ะธะนะฝ ะทาฏาฏะฝ ะทะฐั…ั‹ะฝ bar endBar = bar_index // ะพะดะพะพะณะธะนะฝ bar for r = 0 to vpRows - 1 rowBottom = rangeLow + r * rowSize rowTop = rowBottom + rowSize rowVol = array.get(volByRow, r) bullVol = array.get(bullVolRow, r) barLen = int(rowVol / maxVol * vpWidth) bullLen = int(bullVol / maxVol * vpWidth) bearLen = barLen - bullLen // Bull ั…ัััะณ (ะทาฏาฏะฝ ะทะฐั…ะฐะฐั ะฑะฐั€ัƒัƒะฝ ั‚ะธะนัˆ) if bullLen > 0 box.new(startBar, rowTop, startBar + bullLen, rowBottom, border_color=color.new(#26A69A, 40), bgcolor=vpBullCol, border_width=0) // Bear ั…ัััะณ if bearLen > 0 box.new(startBar + bullLen, rowTop, startBar + barLen, rowBottom, border_color=color.new(#EF5350, 40), bgcolor=vpBearCol, border_width=0) // POC ัˆัƒะณะฐะผ if showPOC pocPrice = rangeLow + pocIdx * rowSize + rowSize / 2 line.new(startBar, pocPrice, endBar, pocPrice, color=vpPocCol, width=2, style=line.style_dashed) label.new(startBar - 1, pocPrice, "POC", color=color.new(#FFD700, 20), textcolor=color.new(#FFD700, 0), style=label.style_label_right, size=size.tiny) // VAH / VAL ัˆัƒะณะฐะผ if showVAH vahPrice = rangeLow + vahIdx * rowSize + rowSize / 2 valPrice = rangeLow + valIdx * rowSize + rowSize / 2 line.new(startBar, vahPrice, endBar, vahPrice, color=color.new(#90CAF9, 0), width=1, style=line.style_dotted) line.new(startBar, valPrice, endBar, valPrice, color=color.new(#90CAF9, 0), width=1, style=line.style_dotted) label.new(startBar - 1, vahPrice, "VAH", color=color.new(#90CAF9, 20), textcolor=color.new(#90CAF9, 0), style=label.style_label_right, size=size.tiny) label.new(startBar - 1, valPrice, "VAL", color=color.new(#90CAF9, 20), textcolor=color.new(#90CAF9, 0), style=label.style_label_right, size=size.tiny) // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // SESSIONS // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• if showSessions londonOpen = hour(time, "GMT+0") >= 8 and hour(time, "GMT+0") < 17 nyOpen = hour(time, "GMT+0") >= 13 and hour(time, "GMT+0") < 22 tokyoOpen = hour(time, "GMT+0") >= 0 and hour(time, "GMT+0") < 9 sydneyOpen = hour(time, "GMT+0") >= 21 or hour(time, "GMT+0") < 6 var box londonBox = na var box nyBox = na var box tokyoBox = na var box sydneyBox = na if showLondon if londonOpen and not londonOpen londonBox := box.new(bar_index, high, bar_index, low, border_color=color.new(#2196F3, 60), bgcolor=londonColor, border_width=1) label.new(bar_index, high, "London", color=color.new(#2196F3, 30), textcolor=color.new(#2196F3, 0), style=label.style_label_down, size=size.tiny) if londonOpen and not na(londonBox) box.set_right(londonBox, bar_index) box.set_top(londonBox, math.max(box.get_top(londonBox), high)) box.set_bottom(londonBox, math.min(box.get_bottom(londonBox), low)) if showNY if nyOpen and not nyOpen nyBox := box.new(bar_index, high, bar_index, low, border_color=color.new(#FF5722, 60), bgcolor=nyColor, border_width=1) label.new(bar_index, high, "New York", color=color.new(#FF5722, 30), textcolor=color.new(#FF5722, 0), style=label.style_label_down, size=size.tiny) if nyOpen and not na(nyBox) box.set_right(nyBox, bar_index) box.set_top(nyBox, math.max(box.get_top(nyBox), high)) box.set_bottom(nyBox, math.min(box.get_bottom(nyBox), low)) if showTokyo if tokyoOpen and not tokyoOpen tokyoBox := box.new(bar_index, high, bar_index, low, border_color=color.new(#9C27B0, 60), bgcolor=tokyoColor, border_width=1) label.new(bar_index, high, "Tokyo", color=color.new(#9C27B0, 30), textcolor=color.new(#9C27B0, 0), style=label.style_label_down, size=size.tiny) if tokyoOpen and not na(tokyoBox) box.set_right(tokyoBox, bar_index) box.set_top(tokyoBox, math.max(box.get_top(tokyoBox), high)) box.set_bottom(tokyoBox, math.min(box.get_bottom(tokyoBox), low)) if showSydney if sydneyOpen and not sydneyOpen sydneyBox := box.new(bar_index, high, bar_index, low, border_color=color.new(#4CAF50, 60), bgcolor=sydneyColor, border_width=1) label.new(bar_index, high, "Sydney", color=color.new(#4CAF50, 30), textcolor=color.new(#4CAF50, 0), style=label.style_label_down, size=size.tiny) if sydneyOpen and not na(sydneyBox) box.set_right(sydneyBox, bar_index) box.set_top(sydneyBox, math.max(box.get_top(sydneyBox), high)) box.set_bottom(sydneyBox, math.min(box.get_bottom(sydneyBox), low)) // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // EMA PLOT // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• plot(ema20, "EMA 20", color=color.new(#FFD700, 0), linewidth=1) plot(ema50, "EMA 50", color=color.new(#FF6B6B, 0), linewidth=1) // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• // SIGNAL SHAPES // โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• plotshape(bullSignal, "BUY", shape.labelup, location.belowbar, color=color.new(#00E676, 0), text="BUY", textcolor=color.white, size=size.normal) plotshape(bearSignal, "SELL", shape.labeldown, location.abovebar, color=color.new(#FF1744, 0), text="SELL", textcolor=color.white, size=size.normal) plotshape(not bullSignal and not bearSignal, "Dot", shape.circle, location.belowbar, color=color.new(color.gray, 85), size=size.tiny)
Pine Scriptยฎ indicator
by gokobe
Fibonacci Retracement Low Fibonacci Retracement Low for bitcoin and other coins. # Fibonacci Retracement Low โ€” Bitcoin & Altcoins ## ๐Ÿ“ What is Fibonacci Retracement? Fibonacci Retracement is a technical analysis tool derived from the **Fibonacci sequence**, a mathematical series discovered by Leonardo Fibonacci in the 13th century. The sequence โ€” 0, 1, 1, 2, 3, 5, 8, 13, 21... โ€” produces a ratio (~1.618) known as the **Golden Ratio (ฯ†)**, which appears repeatedly in nature, art, and financial markets. In trading, key retracement levels are calculated as: - **23.6%** โ€” shallow pullback zone - **38.2%** โ€” moderate support/resistance - **50.0%** โ€” psychological midpoint (not a Fibonacci number, but widely respected) - **61.8%** โ€” the "Golden Pocket," most critical level - **78.6%** โ€” deep retracement, often a last line of defense before trend invalidation --- ## ๐Ÿ” Theoretical Background ### Why Does It Work in Markets? Markets are driven by **human psychology**, and crowd behavior tends to cluster around mathematically significant levels. Traders worldwide watch the same Fibonacci levels, creating **self-fulfilling prophecies** โ€” the more traders act on a level, the more significant that level becomes. ### Retracement vs. Reversal A retracement is a **temporary price pullback** within a larger trend. The core thesis of Fibonacci Retracement analysis is: > *"A strong trending asset will not give back all its gains โ€” it will retrace to a predictable mathematical level and resume its primary trend."* The chart identifies the **Retracement Low**, meaning the deepest point of a corrective wave before the next major upward impulse. --- ## โ‚ฟ Bitcoin & Altcoin Context ### Bitcoin as the Anchor Bitcoin dominates the crypto market, and its Fibonacci structure sets the **macro framework** for the entire cycle. Historically: | Cycle | Retracement Level | Outcome | |---|---|---| | 2018โ€“2019 Bear | ~84% drawdown | Bounced at 0.786 | | 2020 COVID Crash | ~50% level | V-shape recovery | | 2021โ€“2022 Bear | ~77% drawdown | Major accumulation zone | ### Altcoin Behavior Altcoins tend to **amplify** Bitcoin's Fibonacci structure: - They retrace **deeper** (often 85โ€“95%) - But they also **bounce harder** from key levels - The 61.8% and 78.6% zones act as **high-probability accumulation targets** for risk-on capital rotation --- ## ๐Ÿ“Š Practical Application When the chart marks the **Fibonacci Retracement Low**, it signals: 1. **Price has reached a historically significant mathematical support** 2. **Risk/reward is favorable** โ€” downside is limited relative to potential upside 3. **Confluence with other indicators** (volume, RSI divergence, on-chain data) strengthens the signal 4. **Macro cycle positioning** โ€” these lows often coincide with the final capitulation phase before a new bull run --- ## โš ๏ธ Key Caveats - Fibonacci levels are **not guarantees** โ€” they are probability zones - In extreme bear markets, price can **overshoot** below the 78.6% level temporarily - Always combine with **volume analysis**, **market structure**, and **macro conditions** - Bitcoin halving cycles historically influence which Fibonacci level acts as the ultimate bottom --- The identification of a Fibonacci Retracement Low, particularly across both Bitcoin and altcoins simultaneously, is often interpreted as a **generational buying opportunity** โ€” a zone where patient, thesis-driven investors accumulate positions before the next major market expansion phase.
Pine Scriptยฎ indicator
by dhkvmf3377