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ค้นหาในสคริปต์สำหรับ "乌德勒支+VS+赫拉克勒斯"

Delta Arrows Only//@version=5 indicator("Delta Arrows Only", overlay=true) // 输入参数 sidd_time_res_for_delta = input.timeframe('1', "Lower TimeFrame", options= ) show_as_pcent = input.bool(false, "Delta as % of Volume") // 从低时间框架获取 volume 和 candle 方向 array sidd_ltf_volume = request.security_lower_tf(syminfo.tickerid, sidd_time_res_for_delta, volume) array sidd_ltf_close_minus_open = request.security_lower_tf(syminfo.tickerid, sidd_time_res_for_delta, math.sign(close-open)) sidd_test_pos_volume = array.new_float() sidd_test_neg_volume = array.new_float() for i = 0 to array.size(sidd_ltf_close_minus_open)-1 if array.size(sidd_ltf_close_minus_open) > i+1 if array.get(sidd_ltf_close_minus_open, i) < 0 array.push(sidd_test_neg_volume, nz(array.get(sidd_ltf_volume, i))) else if array.get(sidd_ltf_close_minus_open, i) > 0 array.push(sidd_test_pos_volume, nz(array.get(sidd_ltf_volume, i))) sidd_plot = nz(array.sum(sidd_test_pos_volume)) - nz(array.sum(sidd_test_neg_volume)) sidd_plot := show_as_pcent ? ((sidd_plot / volume) * 100) : sidd_plot // 条件逻辑：K线 vs Delta isBullish = close > open isBearish = close < open isDeltaRed = sidd_plot < 0 isDeltaGreen = sidd_plot > 0 // 🚀 主图箭头 plotshape(isBullish and isDeltaRed, title="Bearish Delta on Bullish Candle", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.small) plotshape(isBearish and isDeltaGreen, title="Bullish Delta on Bearish Candle", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.small)
อินดิเคเตอร์ Pine Script®
โดย Jordan522
Power Balance ForecasterHey trader buddy! Remember the old IBM 5150 on Wall Street back in the 80s? :) Well, I wanted to pay tribute to it with this retro-style code when MS DOS and CRT screens were the cutting edge of technology... Analysis of the balance of power between buyers and sellers with price predictions What This Indicator Does The Power Balance Forecaster indicator analyzes the relationship between buyer and seller strength to predict future price movements. Here's what it does in detail: Main Features: Power Balance Analysis: Calculates real-time percentage of buyer power vs seller power Price Predictions: Estimates next closing level based on current momentum Market State Detection: Identifies 5 different market conditions Visual Signals: Shows directional arrows and price targets How the Trading Logic Works Power Balance Calculation: Analyzes Consecutive Bars - Counts consecutive bullish and bearish bars Calculates Momentum - Uses ATR-normalized momentum to measure trend strength Determines Market State - Assigns one of 5 market states based on conditions Market States: Bull Control: Strong uptrend (75% buyer power) Bear Control: Strong downtrend (75% seller power) Buying Pressure: Bullish pressure (65% buyer power) Selling Pressure: Bearish pressure (65% seller power) Balance Area: Market in equilibrium (50/50) Prediction System: Bullish Condition: Buyer power > 55% + Positive momentum = Bullish prediction Bearish Condition: Seller power > 55% + Negative momentum = Bearish prediction Price Target: Based on ATR multiplied by timeframe factor Configurable Parameters: Analysis Sensitivity (5-50): Controls how responsive the indicator is Low values (5-15): More sensitive, ideal for scalping High values (30-50): More stable, ideal for swing trading Table Position: Choose from 9 positions to display the data table Trading Signals: Green Triangle ▲: Bullish signal, price expected to increase Green Triangle ▼: Bearish signal, price expected to decrease Dashed Line: Shows the price target projection Label: Displays the exact target value Recommended Timeframes: Lower Timeframes (1-15 minutes): Sensitivity: 10-20 Automatic Low TF mode Higher Timeframes (1 hour - 1 day): Sensitivity: 25-40 Automatic High TF mode Important Notes: Always use this indicator in combination with: Market context analysis Proper risk management Confirmation from other indicators Mandatory stop losses The indicator works best in trending markets and may be less effective during extreme consolidation periods.
อินดิเคเตอร์ Pine Script®
โดย LanfryBil
[Asian Range + Sweeps]Main Features Asian Range (S2) — fully configurable session band (start/end, hour:minute) with automatic detection and visual high/low markers. HOD/LOD (S1) — adaptive cutoff logic for Forex vs Indices, with optional manual override. Gap Correction — optional true HOD/LOD detection using a 1-minute base with overnight gap adjustment. Sweep Detection — real-time alerts for S1 and S2 sweeps, with independent cooldown control to avoid duplicate signals. Visual Controls — customizable colors, line thickness, and transparency. KeepDays Setting — allows you to manage how many past session drawings are preserved on the chart
อินดิเคเตอร์ Pine Script®
โดย mariniuk
celenni//@version=6 strategy("Cruce SMA 5/20 – v6 (const TF, gap en puntos SOLO cortos, next bar open, 1 trade/ventana, anti-flip)", overlay = true, initial_capital = 10000, default_qty_type = strategy.percent_of_equity, default_qty_value = 10, pyramiding = 0) // === CONSTANTES === const string TF = "15" // fija el timeframe de cálculo (ej. "5","15","30","60","120","240","D") const string SYM_ALLOWED = "QQQ" // símbolo permitido // === Inputs === confirmOnClose = input.bool(true, "Confirmar señal al cierre (evita repaint)") maxGapPtsShort = input.float(0.50, "Máx gap permitido en CORTOS (puntos)", 0.0, 1e6) lenFast = input.int(5, "SMA rápida", 1) lenSlow = input.int(20, "SMA lenta", 2) tpPts = input.float(20.0, "Take Profit (puntos)", 0.01) slPts = input.float(5.0, "Stop Loss (puntos)", 0.01) // Ventanas (NY) useSessions = input.bool(true, "Usar ventanas NY") sess1 = input.session("1000-1130", "Ventana 1 (NY)") sess2 = input.session("1330-1600", "Ventana 2 (NY)") flatOutside = input.bool(true, "Cerrar posición al salir de la ventana") // === Utilidades === isAllowedSymbol() => (syminfo.ticker == SYM_ALLOWED) or str.contains(str.upper(syminfo.ticker), str.upper(SYM_ALLOWED)) // === Series MTF (cálculo en TF) === closeTF = request.security(syminfo.tickerid, TF, close, barmerge.gaps_off, barmerge.lookahead_off) smaFast = ta.sma(closeTF, lenFast) smaSlow = ta.sma(closeTF, lenSlow) // Señales MTF sin repaint longSignalTF = request.security(syminfo.tickerid, TF, ta.crossover(ta.sma(close, lenFast), ta.sma(close, lenSlow)), barmerge.gaps_off, barmerge.lookahead_off) shortSignalTF = request.security(syminfo.tickerid, TF, ta.crossunder(ta.sma(close, lenFast), ta.sma(close, lenSlow)), barmerge.gaps_off, barmerge.lookahead_off) // === Sesiones (evaluadas en el TF del gráfico, zona NY) === inSess1 = useSessions ? not na(time(timeframe.period, sess1, "America/New_York")) : true inSess2 = useSessions ? not na(time(timeframe.period, sess2, "America/New_York")) : true inSession = inSess1 or inSess2 // Inicio de ventanas y contadores (1 trade por ventana) var bool wasIn1 = false, wasIn2 = false win1Start = inSess1 and not wasIn1 win2Start = inSess2 and not wasIn2 wasIn1 := inSess1 wasIn2 := inSess2 var int tradesWin1 = 0, tradesWin2 = 0 if win1Start tradesWin1 := 0 if win2Start tradesWin2 := 0 justOpened = strategy.position_size != 0 and strategy.position_size == 0 if justOpened if inSess1 tradesWin1 += 1 if inSess2 tradesWin2 += 1 canTakeMore = (inSess1 and tradesWin1 < 1) or (inSess2 and tradesWin2 < 1) or (not useSessions) // === Filtro NO-GAP SOLO para CORTOS (en PUNTOS) === // Compara OPEN actual vs CLOSE previo; se evalúa en la barra donde se EJECUTA (apertura actual). gapPts = math.abs(open - close ) shortGapOK = maxGapPtsShort <= 0 ? true : (gapPts <= maxGapPtsShort) // === Anti-flip y gating === isFlat = strategy.position_size == 0 canSignal = (not confirmOnClose or barstate.isconfirmed) canTrade = isAllowedSymbol() and inSession and canTakeMore and canSignal // === ENTRADAS (se colocan al cierre; se llenan en la apertura siguiente) === // Largos: sin filtro de gap if canTrade and isFlat and longSignalTF strategy.entry("Long", strategy.long) // Cortos: requieren shortGapOK if canTrade and isFlat and shortSignalTF and shortGapOK strategy.entry("Short", strategy.short) // === TP/SL en puntos === if strategy.position_size > 0 e = strategy.position_avg_price strategy.exit("TP/SL Long", from_entry="Long", limit=e + tpPts, stop=e - slPts) if strategy.position_size < 0 e = strategy.position_avg_price strategy.exit("TP/SL Short", from_entry="Short", limit=e - tpPts, stop=e + slPts) // === Cierre fuera de sesión === if flatOutside and not inSession and strategy.position_size != 0 strategy.close_all("Fuera de sesión") // === Visual === plot(smaFast, color=color.new(color.teal, 0), title="SMA 5 ("+TF+")") plot(smaSlow, color=color.new(color.orange, 0), title="SMA 20 ("+TF+")") plotshape(longSignalTF and canTrade and isFlat, title="Compra", style=shape.triangleup, location=location.belowbar, color=color.new(color.teal,0), size=size.tiny, text="Long") plotshape(shortSignalTF and canTrade and isFlat and shortGapOK, title="Venta", style=shape.triangledown, location=location.abovebar, color=color.new(color.red,0), size=size.tiny, text="Short")
กลยุทธ์ Pine Script®
โดย joss0614
Iron Condor & Butterfly VisualizerIt helps you visualize and manage your option spread by: Plotting strike prices and breakeven lines directly on the chart. Showing profit/loss zones, adjustment zones, and alerts when price nears critical levels. Calculating risk/reward, probability of profit, theta decay, IV condition, and trade score. 🎯 2. Inputs & Configuration You input your trade details as a comma-separated string: For an Iron Condor ShortCall, LongCall, ShortPut, LongPut, Credit, Contracts, Target% Example: 626,628,620,618,1.20,1,30 For a Butterfly Spread LowerWing, Body, UpperWing, Debit, Contracts, Target% Example: 600,620,640,2.50,2,50 The indicator automatically parses this and knows which strategy type you selected. You can also control: Visuals (profit zones, breakevens, labels) Risk (stop loss %, adjustment zones) Account/risk sizing Market conditions (IV Rank, current IV, DTE) ⚙️ 3. Data Parsing & Strategy Recognition The code reads your pasted string, splits it by commas, and determines: Which strikes are short vs long (or wings/body for Butterfly) Whether the strategy is credit (Iron Condor) or debit (Butterfly) Calculates net credit/debit, contract size, and profit target 📈 4. Profit/Loss Calculations It dynamically calculates: Max Profit Iron Condor: net credit × 100 × contracts Butterfly: (wing width − debit) × 100 × contracts Max Loss Iron Condor: difference between strikes minus credit Butterfly: debit × 100 × contracts Breakeven points Iron Condor: short strikes ± net credit Butterfly: body ± debit Current P&L relative to the live price (close). ⚖️ 5. Risk & Position Sizing It checks: Stop-loss trigger (% of max loss) Adjustment alert if price nears short strikes Recommended contract size based on account size and % risk per trade Actual % of account at risk ⏱️ 6. Time Decay & IV Analysis If you input days to expiration, it shows: Theta (approx daily time decay) Decay progress bar (% of 30-day cycle) IV condition: Green: favorable (>50 IV Rank) Yellow: neutral (30–50) Red: poor (<30) 🧮 7. Trade Scoring It gives a Trade Score (0–100) based on: IV Rank (favorable market) Risk/Reward ratio Probability of profit Default 20 baseline points This helps gauge whether the setup is statistically attractive. 🧠 8. Visualizations When the indicator runs, it draws on your chart: Lines Red = short strikes Orange dashed = long strikes Yellow dotted = breakeven levels Boxes Green = profit zone Orange shaded = adjustment zones (approaching danger) Labels (optional) Strike labels (call/put prices) Info box summarizing: Profit, loss, risk/reward Breakevens, theta, target, gamma risk flag 🚨 9. Alerts The script triggers TradingView alerts when: Price nears call or put adjustment zones Profit target is hit Stop loss is hit These help you manage the trade without constant monitoring. 🧭 10. In Practice You’d: Copy the option strikes and trade details from your broker or analyzer. Paste them into 📋 PASTE YOUR TRADE DATA HERE. The indicator plots: Profit/loss region Adjustment warnings Key metrics Alerts if your trade is in danger or near target.
อินดิเคเตอร์ Pine Script®
โดย Prospecttrades
Fractal Directional Bias: HH/HL vs LL/LHThis indicator is to help user to identify Directional Bias based on William Fractal. It allows user to input the Fractal Depth. For example of Fractal Depth = 3 Swing High: Current Candle High is higher than both the previous and the next Candle High Swing Low: Current Candle Low is lower than both the previous and the next Candle Low With Swing High and Swing Low identified, the indicator further categorised it into HH, HL, LH, LL. The indicator plot the background: Green: When the first HH or HL detected Red: When the first LL or LH detected Note: The change of colour seems like have 2 candles delayed (for fractal depth 3) because it need 3 candles to detect the swing high and swing low.
อินดิเคเตอร์ Pine Script®
โดย glennleekg
Local Hurst Slope [Dynamic Regime]1. HOW THE INDICATOR WORKS (Math → Market Edge)Step Math Market Intuition 1. Log-Returns r_t = log(P_t / P_{t-1}) Removes scale, makes series stationary 2. R/S per τ R = max(cum_dev) - min(cum_dev) S = stdev(segment) Measures memory strength over window τ 3. H(τ) = log(R/S) / log(τ) Di Matteo (2007) H > 0.5 → Trend memory H < 0.5 → Mean-reversion 4. Slope = dH/d(log τ) Linear regression of H vs log(τ) Slope > 0.12 → Trend accelerating Slope < -0.08 → Reversion emerging LEADING EDGE: The slope changes 3–20 bars BEFORE price confirms → You enter before the crowd, exit before the trap Slope > +0.12 + Strong Trend = Bullish = Long Slope +0.05 to +0.12 = Weak Trend = Cautious = Hold/Trail Slope -0.05 to +0.05 = Random = No Edge Slope-0.08 to -0.05 = Weak Reversion = Bearish setup = Prepare Short Slope < -0.08 = Strong Reversion = Bearish= Short PRO TIPS Only trade in direction of 200-day SMA Filters false signals Avoid trading 3 days before/after earnings Volatility kills edge Use on ETFs (SPY, QQQ) Cleaner than single stocks Combine with RSI(14) RSI < 30 + Hurst short = nuclear reversal
อินดิเคเตอร์ Pine Script®
โดย chuckb504
Ethereum Sleepy Wallets – 6-Month DormancyWhat This Indicator Does It measures how many Ethereum addresses have been completely inactive for at least 6 months (≥ 180 days) — using official Glassnode and CryptoQuant on-chain metrics. This reveals deep conviction among long-term ETH holders Core Concept: Direct 6-Month Dormancy The indicator uses two precise on-chain signals: Total Unique ETH Addresses From GLASSNODE:ETH_ADDRESSES or CRYPTOQUANT:ETH_TOTAL_ADDRESSES Counts every address ever used on Ethereum Addresses Inactive ≥ 180 Days From GLASSNODE:ETH_ADDRESSES_GREATER_THAN_180_DAYS Counts every address that has not sent or received ETH in 6+ months Sleepy ETH = Dormant ≥ 180 Days Sleepy Ratio % = (Sleepy / Total) × 100 This is not an estimate — it’s direct, real dormancy. Why 6-Month Dormancy Matters Short-term activity (7-day) = noise from DeFi, NFTs, trading 180-day inactivity = true HODLing — coins untouched through entire market cycles Historically: Rising dormancy → supply drying up → bullish pressure Falling dormancy → long-term holders selling → bearish warning How It Works (Step-by-Step) Fetches daily data from Glassnode (Pro+) or CryptoQuant (free) Selects real data if available; otherwise uses robust fallback Calculates raw sleepy wallets = addresses inactive ≥ 180 days Smooths the signal with a 21-day simple moving average (SMA) to filter noise Computes Sleepy Ratio % for instant conviction reading Displays live info table with exact values on every bar How to Use It Signal Interpretation Suggested Action Sleepy Ratio > 75% and rising Extreme long-term HODLing Strong accumulation — buy/hold Smooth Sleepy trending up Dormancy growing over 21 days Bullish supply shock forming Sleepy Ratio < 68% and falling Long-term coins re-entering circulation Caution — possible distribution Smooth Sleepy dropping fast HODLers breaking after 6+ months Bearish warning — consider exits Use on Daily (D) or Weekly (W) charts for clean, reliable signals. Pro+ vs Free Mode Mode Data Source Accuracy Pro+ (Glassnode ON) Real 180-day dormancy metric 100% precise Free (Glassnode OFF) CryptoQuant + price-scaled estimate ~80% historical correlation Toggle in settings: Use Glassnode Data What Makes This Indicator Original First open-source script to directly plot Ethereum’s 6-month dormancy using official ADDRESSES_GREATER_THAN_180_DAYS No fake math — uses true inactivity, not active address subtraction Dual-source logic ensures usability on any TradingView plan Dual output: raw sleepy count + 21-day SMA for precision and trend Live info table shows real-time values and data source
อินดิเคเตอร์ Pine Script®
โดย bristleconewealth
Dynamic Liquidity HeatMap Profile [BigBeluga]🔵 OVERVIEW The Dynamic Liquidity HeatMap Profile is a smart-flow liquidity tracker that maps where stop-loss clusters and resting limit orders are likely positioned. Instead of traditional volume profiles based only on executed transactions, this tool projects probable liquidity pools — areas where traders are trapped or positioned and where smart money may hunt stops or fill orders. It dynamically scans recent price swings, builds liquidity zones above and below price, and visualizes them as a heat map + histogram — highlighting areas with the greatest liquidity attraction. Orange highlights the highest-concentration liquidity (POC), making potential sweep targets obvious. 🔵 CONCEPTS Liquidity pools form above swing highs (buy stops) and below swing lows (sell stops). Market makers & large players often push price into these zones to trigger stops and capture liquidity. The indicator uses recent volatility + volume expansion to estimate where these pools exist. Horizontal heat bars show depth and intensity of probable liquidity. Profile side histogram displays buy-side vs sell-side liquidity distribution. 🔵 FEATURES Dynamic Liquidity Detection — finds potential stop-loss clusters from recent swing behavior. Dual-Side Heatmap — split liquidity view above (short stops) and below (long stops) current price. Volume-Weighted Levels — higher volatility & volume = deeper liquidity expectation. Real-Time Heat Coloring • Lime = liquidity below price (potential buy-side fuel) • Blue = liquidity above price (potential sell-side fuel) • Orange = peak liquidity (POC) Liquidity Profile Histogram — plotted at right side, layered by strength. Auto-Cleaning Engine — removes invalidated liquidity after breaks. Adjustable lookback window and bin resolution . 🔵 HOW TO USE Look for price moving toward dense liquidity zones — high probability of wick raids or sweeps. Orange POC often acts as magnet — strong target zone for smart money. Combine with SFP / BOS logic to time reversals after liquidity hunts. In trend, price repeatedly sweeps opposite-side liquidity before continuation. Use liquidity walls as bias filters — heavy liquidity above often precedes downward move, and vice-versa. Great for scalping sessions, indices, FX, BTC, ETH. 🔵 CONCLUSION The Dynamic Liquidity HeatMap Profile gives traders a tactical edge by revealing where the market’s hidden liquidity resides. It highlights where shorts and longs are positioned, identifies likely sweep zones, and marks the most attractive liquidity magnet (POC). Use it to anticipate stop hunts, avoid getting trapped, and align with smart-money flow instead of fighting it.
อินดิเคเตอร์ Pine Script®
โดย BigBeluga
25
BUY LOW, BUY MORE, SELL HIGH -BUFFET STRATEGY LITE__________________________________________________________________________ Buy Low, Buy More, Sell High With Buffett Meter (LITE – JTMarketAI) __________________________________________________________________________ Category: Quantitative Momentum & Liquidity Flow Author: JTMarketAI Architecture: Non-Repainting This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge. This is a patient, conviction-based accumulation engine designed for equities. It is not a scalp bot. __________________________________________________________________________ Core Features __________________________________________________________________________ Non-repainting (confirmed bars only) Synthetic HTF OHLC (no lookahead) Dynamic trailing exit preserves ~80–87% of peak profit Bull vs Bear liquidity dominance and flow imbalance Rolling lowest-low tracking (LLL) NY-session alignment (default) Buffett Macro Meter integration Technical Highlights Flow-confidence derived from volume-order pressure Adaptive KAMA smoothing for lower-lag confirmation Daily > Weekly > Monthly synthetic aggregation LLL progression display for trend exhaustion Fully profiler-optimized Supports averaging down when pyramiding enabled __________________________________________________________________________ Why It Does Not Repaint __________________________________________________________________________ All state updates occur only on confirmed bars Synthetic HTFs built without lookahead Persistent arrays freeze historical values Trailing highs updated only after confirmation No forward-reference to future bars __________________________________________________________________________ Lite Edition Notes __________________________________________________________________________ Manual trading focused Buffett Meter enabled Up to 20 trades per session Visual dashboard included No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost) __________________________________________________________________________ Limitations __________________________________________________________________________ Best on intraday equities (1m–4h) Designed for US stocks only High-resource if full visuals enabled Avoid penny stocks and extremely low-volume tickers Does not guard against after-hours gaps or major news moves __________________________________________________________________________ Warnings __________________________________________________________________________ Contrarian scaling requires discipline and patience Expect longer-duration trades, not rapid scalps Use on quality tickers unlikely to permanently collapse Confirm price behavior outside cash session Test manually before automating anything Not suitable for every market environment or asset Notes on Philosophy This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength. __________________________________________________________________________ Disclaimer __________________________________________________________________________ For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management. __________________________________________________________________________ Hashtags __________________________________________________________________________ #buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
กลยุทธ์ Pine Script®
โดย JTMarketAI
1
BUY LOW, BUY MORE, SELL HIGH - MARKET FLOW STRATEGY LITE TV Description - Buffett Meter Lite body{font-family:Arial,Helvetica,sans-serif;max-width:900px;margin:32px auto;line-height:1.4} h1,h2{margin:16px 0 8px} Buy Low, Buy More, Sell High With Buffett Meter (Lite v1283 – JTM) Category: Quantitative Momentum & Liquidity Flow Author: JTM Architecture: Non-Repainting This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge. This is a patient, conviction-based accumulation engine designed for equities. It is not a scalp bot. Core Features Non-repainting (confirmed bars only) Synthetic HTF OHLC (no lookahead) Dynamic trailing exit preserves ~80–87% of peak profit Bull vs Bear liquidity dominance and flow imbalance Rolling lowest-low tracking (LLL) NY-session alignment (default) Buffett Macro Meter integration Technical Highlights Flow-confidence derived from volume-order pressure Adaptive KAMA smoothing for lower-lag confirmation Daily &gt; Weekly &gt; Monthly synthetic aggregation LLL progression display for trend exhaustion Fully profiler-optimized Supports averaging down when pyramiding enabled Why It Does Not Repaint All state updates occur only on confirmed bars Synthetic HTFs built without lookahead Persistent arrays freeze historical values Trailing highs updated only after confirmation No forward-reference to future bars Lite Edition Notes Manual trading focused Buffett Meter enabled Limit of 20 trades per session Buffet Meter dashboard included No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost) Limitations Best on intraday equities (1m–4h) Designed for US stocks only High-resource if full visuals enabled Avoid penny stocks and extremely low-volume tickers Does not guard against after-hours gaps or major news moves Warnings Contrarian scaling requires discipline and patience Expect longer-duration trades, not rapid scalps Use on quality tickers unlikely to permanently collapse Confirm price behavior outside cash session Test manually before automating anything Not suitable for every market environment or asset Notes on Philosophy This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength. This is edge-based, not “trade every wiggle” logic “Be fearful when others are greedy, and greedy when others are fearful.” — Buffett “The stock market transfers money from the impatient to the patient.” — Buffett Disclaimer For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management. Hashtags #buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
กลยุทธ์ Pine Script®
โดย JTMarketAI
1
Yang-Zhang Volatility (YZVol) by CoryP1990 – Quant ToolkitThe Yang-Zhang Volatility (YZVol) estimator measures realized volatility using both overnight gaps and intraday moves. It combines three components: overnight returns, open-to-close returns, and the Rogers–Satchell term, weighted by Zhang’s k to reduce bias. How to read it Line color: Green when YZVol is rising (volatility expansion), Red when falling (volatility compression). Background: Green tint = above High-vol threshold (active regime). Red tint = below Low-vol threshold (quiet regime). Units: Displays Daily % by default on any timeframe (values are normalized to daily). An optional toggle shows Annualized % (√252 × Daily %). Typical uses Spot transitions between quiet and active regimes. Compare realized vol vs implied vol or a risk-target. Adapt position sizing to volatility clustering. Defaults Length = 20 High-vol threshold = 5% (Daily) Low-vol threshold = 1% (Daily) Optional: Annualized % display Example — SPY (1D) During the 2020 crash, YZVol surged to 5.8 % per day, capturing the height of pandemic-era volatility before compressing into a calm regime through 2021. Volatility re-expanded in 2022 due to reinflamed COVID fears and gradually stabilized through 2023. A sharp, liquidity-driven volatility event in August 2024 caused another brief YZVol surge, reflecting the historic one-day VIX spike triggered by market-wide risk-off flows and thin pre-market liquidity. A second, policy-driven expansion followed in April–May 2025, coinciding with the renewed U.S.–China tariff conflict and a sharp equity pullback. Since mid-2025, YZVol has settled near 1 % per day, with the red background confirming that realized volatility has once again compressed into a quiet, low-risk regime. Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
อินดิเคเตอร์ Pine Script®
โดย CoryP1990
Ulcer Index (UI) by CoryP1990 – Quant ToolkitThe Ulcer Index measures downside volatility, i.e. how deep and persistent drawdowns are from recent highs. Unlike standard deviation, which treats upside and downside equally, the Ulcer Index focuses purely on pain . It’s a favorite of risk-adjusted performance metrics like the Martin Ratio. How it works Computes the RMS (root-mean-square) of drawdowns over a look-back window. Rising UI → drawdowns worsening (stress increasing). Falling UI → drawdowns shrinking (recovery phase). Red line = Ulcer Index rising. Lime line = Ulcer Index falling. Red background = High-risk regime (above threshold). Green background = Low-risk regime (below threshold). Use cases Gauge portfolio stress levels and timing of recovery phases. Identify “calm vs storm” periods for position sizing. Combine with volatility or sentiment measures for regime classification. Defaults Length = 14 High-risk threshold = 10 Low-risk threshold = 5 Example — NVIDIA (NVDA, 1D) During the sharp decline through 2022, the Ulcer Index repeatedly spiked above 10 while the background turned red, highlighting an extended high-stress drawdown phase. As NVDA began recovering in early 2023, the UI line switched to lime and drifted below 5, marking a transition into a low-risk regime. Throughout 2024–2025, the index stayed mostly sub-5 with brief red pulses on minor corrections, which is clear evidence that downside volatility has remained contained during the broader uptrend. Part of the Quant Toolkit - a series of transparent, open-source indicators designed for professional-grade analytics and education. Built by CoryP1990.
อินดิเคเตอร์ Pine Script®
โดย CoryP1990
Monthly Color Marker V4 ## 📊 Monthly Color Marker - Historical Month Highlighting ### Overview A unique indicator that allows rapid identification of all monthly candles from a specific month across multiple years. The indicator marks candles with different colors based on their direction (bullish/bearish), enabling quick analysis of seasonal patterns and cyclical behavior of stocks or assets. ### 🎯 Purpose - **Identify Seasonal Patterns (Seasonality)** - Discover recurring trends in specific months - **Quick Historical Analysis** - Visual representation of monthly performance over the years - **Direction Recognition** - Instant understanding of whether a month tends to be bullish or bearish - **Seasonal Trading Planning** - Build strategies based on cyclical patterns ### ⚙️ Adjustable Parameters 1. **Month to Mark (1-12)** - Select the desired month for analysis - 1 = January, 2 = February... 12 = December - Default: 11 (November) 2. **Years Back (1-50)** - Determines how many years back to scan - Recommended: 10-25 years for statistically reliable data - Default: 25 years 3. **Bullish Candle Color** - Color for marking bullish candles (close > open) - Default: Green - Customizable to your personal color scheme 4. **Bearish Candle Color** - Color for marking bearish candles (close < open) - Default: Red - Customizable to your personal color scheme 5. **Show Current Year** - Whether to include the current month in the marking - Useful when the month hasn't finished yet - Default: Yes ### 📈 How to Use the Indicator #### Step 1: Adding to Chart 1. Switch to **Monthly timeframe** - Required! 2. Add the indicator to your chart 3. Select the month you want to analyze #### Step 2: Initial Analysis - **Count green vs red candles** - What's the ratio? - **Look for patterns** - Are there years where the month always rises/falls? - **Identify outliers** - Years where behavior was different #### Step 3: Making Decisions - **Mostly green** → Statistically, the month tends to rise - **Mostly red** → Statistically, the month tends to fall - **Mixed** → No clear seasonal pattern ### 💡 Usage Examples **Example 1: "Santa Claus Rally"** - Select month 12 (December) - Check if there are mostly green candles - If yes, this confirms the well-known year-end rally effect **Example 2: "September Effect"** - Select month 9 (September) - Historically, September is considered a weak month - Do the data support this for this stock? **Example 3: Quarterly Earnings** - Identify which month earnings are released - Check the historical response - Plan entry/exit accordingly ### 🔍 Combining with Other Indicators This indicator works excellently with: - **Historical Monthly Levels** (the first indicator) - Identify nearby price levels - **Volume Profile** - Check volume during those months - **RSI/MACD** - Identify momentum strength in specific months ### ⚠️ Important Notes 1. **Must use Monthly timeframe!** The indicator won't work correctly on other timeframes 2. **Statistical Sample** - More years = more reliable analysis 3. **Not a Guarantee** - Past performance doesn't guarantee future results, use additional analysis 4. **Adjust Colors** - If hard to see, change colors in settings ### 🎨 Tips for Optimal Experience - **Zoom Out** - See more years at a glance - **Clean Chart** - Remove unnecessary indicators for clear analysis - **Compare Stocks** - Check multiple stocks for the same month - **Document Findings** - Take screenshots and save insights for future reference ### 📊 Recommended Statistics After identifying an interesting month: - Calculate success rate (green / total candles) - Check average volatility - Identify outlier years and investigate what happened - Plan entry/exit strategy ### 🚀 Who Is This Indicator For? ✅ **Swing Traders** - Plan medium-term trades ✅ **Seasonal Investors** - Exploit cyclical patterns ✅ **Technical Analysts** - Understand historical behavior ✅ **Portfolio Managers** - Time entries and exits --- ### 📝 Summary The Monthly Color Marker indicator is a powerful and easy-to-use tool for identifying seasonal patterns. The combination of clear visualization with flexible parameters makes it an essential tool for any trader seeking a statistical edge in the market. **Recommendation:** Start with 25 years back, analyze 2-3 key months, and build a data-driven strategy. --- **Version:** 4.0 **Compatibility:** Pine Script v5 **Timeframe:** Monthly only **Author:** 954 ## 📊 Monthly Color Marker - סימון חודשים היסטוריים ### תיאור כללי אינדיקטור ייחודי המאפשר לזהות במהירות את כל הנרות החודשיים מחודש ספציפי לאורך השנים. האינדיקטור מסמן את הנרות בצבעים שונים בהתאם לכיוון התנועה (עלייה/ירידה), ומאפשר ניתוח מהיר של דפוסים עונתיים והתנהגות מחזורית של המניה או הנכס. ### 🎯 מטרת האינדיקטור - **זיהוי דפוסים עונתיים (Seasonality)** - מציאת מגמות חוזרות בחודשים מסוימים - **ניתוח היסטורי מהיר** - ראייה ויזואלית של ביצועי החודש לאורך השנים - **זיהוי כיווניות** - הבנה מיידית האם החודש נוטה להיות שורי או דובי - **תכנון מסחר עונתי** - בניית אסטרטגיות מבוססות מחזוריות ### ⚙️ פרמטרים מתכווננים 1. **חודש לסימון (1-12)** - בחירת החודש הרצוי לניתוח - 1 = ינואר, 2 = פברואר... 12 = דצמבר - ברירת מחדל: 11 (נובמבר) 2. **שנים אחורה (1-50)** - קובע כמה שנים אחורה לסרוק - מומלץ: 10-25 שנים לקבלת תמונה סטטיסטית מהימנה - ברירת מחדל: 25 שנים 3. **צבע נר עולה** - צבע לסימון נרות שורים (close > open) - ברירת מחדל: ירוק - ניתן להתאים לסכמת הצבעים האישית 4. **צבע נר יורד** - צבע לסימון נרות דוביים (close < open) - ברירת מחדל: אדום - ניתן להתאים לסכמת הצבעים האישית 5. **צבע את השנה הנוכחית** - האם לכלול את החודש הנוכחי בסימון - שימושי כאשר החודש טרם הסתיים - ברירת מחדל: כן ### 📈 איך להשתמש באינדיקטור #### שלב 1: הוספה לגרף 1. עבור לטיימפריים **חודשי (Monthly)** - חובה! 2. הוסף את האינדיקטור לגרף 3. בחר את החודש שאתה רוצה לנתח #### שלב 2: ניתוח ראשוני - **ספור נרות ירוקים מול אדומים** - מה היחס? - **חפש דפוסים** - האם יש שנים שבהן החודש תמיד עולה/יורד? - **זהה חריגים** - שנים שבהן ההתנהגות הייתה שונה #### שלב 3: קבלת החלטות - **רוב ירוקים** → סטטיסטית החודש נוטה לעלות - **רוב אדומים** → סטטיסטית החודש נוטה לרדת - **מעורב** → אין דפוס עונתי ברור ### 💡 דוגמאות שימוש **דוגמה 1: "Santa Claus Rally"** - בחר חודש 12 (דצמבר) - בדוק אם יש רוב נרות ירוקים - אם כן, זה מאשר את האפקט הידוע של עליות בסוף השנה **דוגמה 2: "September Effect"** - בחר חודש 9 (ספטמבר) - היסטורית, ספטמבר נחשב לחודש חלש - האם הנתונים תומכים בכך במניה זו? **דוגמה 3: דיווחים רבעוניים** - זהה בחודש אילו נפרסמים דיווחים - בדוק את התגובה ההיסטורית - תכנן כניסה/יציאה בהתאם ### 🔍 שילוב עם אינדיקטורים אחרים האינדיקטור עובד מצוין בשילוב עם: - **Historical Monthly Levels** (האינדיקטור הראשון) - זיהוי רמות מחיר קרובות - **Volume Profile** - בדיקת ווליום באותם חודשים - **RSI/MACD** - זיהוי כוח המומנטום בחודשים ספציפיים ### ⚠️ הערות חשובות 1. **חובה להשתמש בטיימפריים חודשי!** האינדיקטור לא יעבוד נכון בטיימפריים אחרים 2. **מדגם סטטיסטי** - ככל שיש יותר שנים, הניתוח מהימן יותר 3. **לא ערובה** - עבר לא מבטיח עתיד, השתמש בניתוח נוסף 4. **התאם צבעים** - אם קשה לראות, שנה את הצבעים בהגדרות ### 🎨 טיפים לחוויית שימוש מיטבית - **זום אאוט** - ראה יותר שנים במבט אחד - **נקה גרף** - הסר אינדיקטורים מיותרים לניתוח ברור - **השווה מניות** - בדוק מספר מניות לאותו חודש - **תעד ממצאים** - צלם מסך ושמור תובנות לעתיד ### 📊 סטטיסטיקה מומלצת לאחר שזיהית חודש מעניין: - חשב אחוז הצלחה (ירוקים / כל הנרות) - בדוק תנודתיות ממוצעת - זהה שנים חריגות ובדוק מה קרה אז - תכנן אסטרטגיית כניסה/יציאה ### 🚀 למי מתאים האינדיקטור? ✅ **סווינג טריידרים** - תכנון עסקאות לטווח בינוני ✅ **משקיעים עונתיים** - ניצול דפוסים מחזוריים ✅ **אנליסטים טכניים** - הבנת התנהגות היסטורית ✅ **מנהלי תיקים** - תזמון כניסות ויציאות --- ### 📝 סיכום אינדיקטור Monthly Color Marker הוא כלי חזק וקל לשימוש לזיהוי דפוסים עונתיים. השילוב של ויזואליזציה ברורה עם פרמטרים גמישים הופך אותו לכלי חיוני לכל טריידר המחפש יתרון סטטיסטי בשוק. **המלצה:** התחל עם 25 שנים אחורה, נתח 2-3 חודשים מרכזיים, ובנה אסטרטגיה מבוססת נתונים. --- **גרסה:** 4.0 **תאימות:** Pine Script v5 **טיימפריים:** חודשי בלבד **מחבר:** [954 ---
อินดิเคเตอร์ Pine Script®
โดย shmuel954
[KF] Multi-Duration Rate Expectations IndicatorAfter last fed cut in Oct then following jump in rates, I was frustrated at not having access to good rate expectations vs actual because the market usually prices in prior to fed action. This indicator was developed to make futures market rate expectations accessible and interpretable without requiring professional bond analytics systems. Summary This Pine Script indicator reveals what the futures market expects for interest rates across three key durations: Fed Funds (overnight), 2-Year, and 10-Year Treasury yields. By comparing futures-implied rates against current spot yields, it provides a clear visual signal of whether the market expects rates to rise, fall, or remain steady. Understanding Rate Futures Fed Funds futures (ZQ1!) use a simple design where the expected rate equals 100 minus the futures price. If ZQ1! trades at 96.12, the market expects a 3.88% Fed Funds rate. Treasury futures work differently - they trade as bond prices (typically 102-115) that move inversely to yields. Converting Treasury futures to implied yields requires complex bond mathematics involving duration and conversion factors. This indicator solves the Treasury futures complexity by implementing a self-calibrating sensitivity model. It observes the historical relationship between futures prices and yields, then uses this to project rate expectations. The model also compares front-month to next-month contracts to detect expected rate direction, automatically adapting as market conditions change. How to Use Add the indicator to any chart and select your desired duration in the settings. The display shows the futures-implied rate, current yield, and the difference between them. Green indicates the market expects higher rates, red means lower expectations, and gray shows expectations in line with current rates. The indicator excels at identifying divergences between market expectations and current rates, which often precede rate movements or futures repricing. Comparing expectations across different durations reveals insights about yield curve positioning and Fed policy anticipation. Technical Note While Fed Funds futures provide exact rate expectations, Treasury futures conversions are sophisticated approximations that provide reliable directional signals and reasonable magnitude estimates sufficient for most trading applications.
อินดิเคเตอร์ Pine Script®
โดย Kanefire
DRACO Tomas Delta (Custom/Monthly)🐉 DRACO Delta SessionBox (Custom / Monthly) Overview The DRACO Delta SessionBox is an advanced visual and analytical tool designed to measure and display cumulative buying and selling pressure (Δ — delta) within a user-defined time window, such as a specific custom date range, a recurring monthly period, or the entire current month. It visually represents market accumulation or distribution phases by calculating an approximate delta — the imbalance between bullish and bearish volume — and then aggregates it inside a dynamic “box” that spans only the selected time window. Core Concept Delta in this context is an approximation of the real order-flow delta (buy vs sell volume difference). Since TradingView doesn’t provide raw tick-by-tick trade direction data, this indicator uses a proxy formula based on OHLC and volume data: Δ per bar = Volume × ( Close − Open ) max ⁡ ( High − Low , Tick Size ) Δ per bar=Volume× max(High−Low,Tick Size) (Close−Open) ​ This gives a very effective approximation of intrabar directional pressure — whether volume was dominated by buyers (Δ > 0) or sellers (Δ < 0). Modes The indicator can operate in three distinct modes: 🕒 Custom DateTime The user manually sets an exact date & time range (From – To). The box only measures delta and volume accumulation within this window. Ideal for analyzing specific events, like FOMC weeks, quarterly earnings, or macro periods. 📆 Monthly Window The user selects start and end days of the month (e.g. 5–20). The same window repeats automatically every month. Useful for identifying recurring accumulation or distribution cycles within months. 🧭 Whole Month Automatically measures and visualizes delta for the entire current calendar month. The box resets when a new month begins. Provides a macro-level view of monthly directional bias.
อินดิเคเตอร์ Pine Script®
โดย tomasgudanavicius
Directional Volume Cloud MTFThe Directional Volume Cloud MTF transforms raw volume into a visually intuitive cloud histogram that highlights directional bias and exhaustion zones. 🔍 Core Logic - Volume bias is calculated using candle direction (bullish/bearish) and smoothed via EMA. - Bias strength is normalized against average volume to produce a ratio from -1 to +1. - Color and opacity dynamically reflect bias direction and strength — pale clouds indicate weak volume, while vivid clouds signal strong conviction. Features - Customizable bullish/bearish colors - Dynamic opacity based on volume strength - Declining volume signals for potential reversals - Multi-timeframe bias overlay (e.g., daily bias on intraday chart) 📈 Use Cases - Spot volume exhaustion before reversals - Confirm breakout strength with bias intensity - Compare short-term vs long-term volume pressure Whether you're scalping intraday moves or validating swing setups, this cloud-based volume heatmap offers a clean, modular way to visualize market conviction.
อินดิเคเตอร์ Pine Script®
โดย Sjswoop