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브레드쓰 인디케이터

Quantum Mean Reversion Oscillator[Pineify]Quantum Mean Reversion Oscillator - Statistical Z-Score Based Trading Signals The Quantum Mean Reversion Oscillator (QMR) is a statistically-driven momentum indicator designed to identify high-probability mean reversion opportunities in any market. Built on the foundation of Z-score analysis, this oscillator measures how far price has deviated from its statistical mean, expressed in standard deviations. When price stretches too far from equilibrium, it tends to snap back—this indicator captures those precise moments. Key Features Z-Score based oscillator measuring price deviation from dynamic mean Adaptive EMA-based mean calculation for responsive trend detection Customizable standard deviation multiplier for volatility adjustment Built-in smoothing to filter market noise and reduce false signals Visual gradient glow effect showing momentum intensity Clear overbought/oversold threshold levels at +2.0 and -2.0 Automatic buy and sell signal generation on mean reversion events Pre-configured alert conditions for automated trading workflows How It Works The indicator employs a three-step calculation process rooted in statistical analysis: Dynamic Mean Calculation: Rather than using a simple moving average, the oscillator uses an Exponential Moving Average (EMA) as the basis. This makes the mean more responsive to recent price action while still maintaining statistical validity. Z-Score Computation: The core of this indicator is the Z-score formula: (Price - Mean) / Standard Deviation. This transforms raw price data into a normalized scale where values represent how many standard deviations price has moved from its mean. A reading of +2.0 means price is two standard deviations above average—a statistically significant extreme. Noise Reduction: The raw Z-score is smoothed using a Simple Moving Average to eliminate whipsaws and provide cleaner, more actionable signals. Trading Ideas and Insights Mean reversion is one of the most fundamental concepts in quantitative trading. Markets tend to oscillate around fair value, and extreme deviations often precede reversals. The QMR Oscillator quantifies this behavior: When the oscillator exceeds +2.0, price is statistically overbought—approximately 95% of price action occurs below this level under normal distribution When the oscillator drops below -2.0, price is statistically oversold—a zone where buying pressure typically emerges The crossback signals (crossing back inside from extremes) indicate the reversion has begun, providing entry timing This approach works particularly well in ranging markets and can identify exhaustion points in trending markets where pullbacks are likely. How Multiple Indicators Work Together The QMR Oscillator integrates three complementary statistical concepts into a unified framework: EMA for Mean: Provides a responsive baseline that adapts to changing market conditions faster than traditional SMA, ensuring the "fair value" reference point stays relevant. Standard Deviation for Volatility: Automatically adjusts the oscillator's sensitivity based on current market volatility. During high volatility, larger price moves are required to reach extreme readings, preventing false signals. SMA Smoothing: Applied as a final filter to remove noise without introducing significant lag, balancing responsiveness with reliability. These three components work synergistically—the EMA tracks the trend, standard deviation normalizes for volatility, and smoothing ensures signal quality. Unique Aspects Statistical Foundation: Unlike arbitrary oscillator boundaries, the +/-2.0 levels have statistical meaning—representing approximately 2 standard deviations from the mean Visual Gradient System: The glow effect intensifies as price moves further from equilibrium, providing intuitive visual feedback on momentum strength Adaptive Sensitivity: The deviation multiplier allows traders to adjust how extreme price must move before triggering signals, accommodating different trading styles and market conditions How to Use Add the indicator to your chart and observe the oscillator's position relative to the zero line and threshold levels Look for buy signals (B markers) when the oscillator crosses back above -2.0 from oversold territory Look for sell signals (S markers) when the oscillator crosses back below +2.0 from overbought territory Use the gradient glow intensity to gauge momentum strength—brighter colors indicate more extreme conditions Set up alerts using the built-in alert conditions for automated notifications Customization Mean Lookback (default: 20): Controls the EMA period for mean calculation. Shorter periods increase sensitivity; longer periods provide smoother readings Deviation Multiplier (default: 2.0): Adjusts how many standard deviations define the bands. Higher values require more extreme moves for signals Smoothing (default: 3): Controls noise filtering. Increase for smoother signals in choppy markets Bullish/Bearish Glow Colors: Customize the visual appearance to match your chart theme Show Reversion Signals: Toggle buy/sell markers on or off Conclusion The Quantum Mean Reversion Oscillator provides traders with a statistically rigorous tool for identifying mean reversion opportunities. By combining Z-score analysis with adaptive volatility measurement and intelligent smoothing, it offers a systematic approach to finding high-probability reversal points. Whether used as a standalone indicator or as confirmation for other analysis methods, the QMR Oscillator brings quantitative precision to mean reversion trading strategies.
Pine Script® 인디케이터
Pineify의
Session Liquidity Trading PlanAmateurs trade on emotion. Professionals trade with a plan. The Session Liquidity Trading Plan is a professional pre-trade checklist designed to help traders approach the market with structure, discipline, and consistency. This tool acts as a decision-support panel, allowing you to manually confirm key liquidity-based conditions before executing a trade. Each confirmed condition contributes to a weighted trade score, giving you an instant view of setup quality. Instead of chasing the market, this panel encourages patience and rule-based execution — two traits consistently found among profitable traders. 🔑 Key Features • Clean top-right trading panel • Manual confirmation checklist for maximum flexibility • Weighted Trade Score (0–100) for setup grading • Built for liquidity-based and session-focused traders • Promotes disciplined, high-quality trade selection • Works across all instruments and timeframes 📊 Checklist Includes: ✔ Asia High/Low Sweep ✔ 5/15 Minute Market Shift ✔ OTE Retracement ✔ Targeting Buy/Sell Side Liquidity When all conditions align, traders gain confidence in the strength of their setup.
Pine Script® 인디케이터
vusumuzinkomo1의
Kinetic Delta Lockout System StrategyTitle Kinetic Delta Lockout System Version and compatibility Pine Script v6 used All request.security calls use lookahead off Strategy execution uses standard candles only Signals can update while a bar is forming and settle on bar close. For conservative workflows select alerts on bar close Summary in one paragraph Kinetic Delta Lockout System is a session scoped intraday strategy for ES and NQ on 10 minute charts that trades only when a lower timeframe cumulative volume delta regime flip aligns with a volatility spread filter. It focuses on catching directional bursts while explicitly limiting activity after a losing trade. The core novelty is the fusion of anchored lower timeframe CVD regime shifts with an ATR percent spread gate, wrapped in a strict daily loss lockout to reduce churn and slippage during noisy conditions. Add it to a clean chart, keep the session windows consistent, and treat the signals as a structured decision framework rather than a forecast. Scope and intent Markets. Optimized for ES and NQ index futures. Designed for liquid index futures with reliable volume Timeframes. Intraday, with the default demo optimized for 10 minute charts Default demo used in the publication. ES1! on 10 minute Purpose. Capture intraday regime shifts in volume flow and volatility context while avoiding repeated trades after a loss Limits. This is a strategy. Orders are simulated by the TradingView engine on standard candles only Originality and usefulness This strategy is not a simple combination of common indicators. It uses a single regime variable, anchored cumulative volume delta built from lower timeframe signed volume, and triggers only when that regime crosses through zero. It then applies a volatility context gate defined as the difference between fast and slow ATR percent, which is a portable unit across related index futures. Finally, it adds a behavioral risk control: a hard stop trading rule after the first losing trade of the day. This combination addresses a specific failure mode: repeated flip trades during intraday chop, where costs and slippage can dominate. Unique concept or fusion. Anchored lower timeframe CVD regime flips plus ATR percent spread gating plus daily stop after first losing trade What failure mode it addresses. False starts and repeated flips during chop, especially after early day losses Testability. Each gate is exposed in Inputs so users can isolate what is driving each entry Portable yardstick. ATR is converted to percent of price so the volatility filter scales across ES and NQ Method overview in plain language Base measures Range basis. True Range smoothed with two ATR windows, a slow baseline and a fast baseline Yardstick. ATR percent equals ATR divided by price in percent. The filter uses the spread between fast ATR percent and slow ATR percent Components Anchored CVD. The script aggregates signed volume from a lower timeframe into a cumulative series and resets it on the chosen reset basis. Signed volume is positive when the bar is classified as buy side and negative otherwise CVD smoothing. A simple moving average of anchored CVD defines the regime line used for cross events ATR percent spread. The strategy requires fast ATR percent to exceed slow ATR percent, indicating short term expansion relative to baseline. Longs also require the spread to remain below a cap Session windows. Entries are only allowed inside the entry window. Positions are forcibly flattened inside the force flat window Daily loss lockout. After the first losing trade of the day, the strategy stops taking new entries until the next day Fusion rule Session gate must be ON and force flat must be OFF Daily lockout must be OFF ATR percent spread must be positive. Longs additionally require spread below the long cap CVD regime must produce a valid cross event and directional confirmations must align Signal rule Long suggestion appears when the smoothed CVD crosses above zero, the candle closes above its open, the anchored CVD is rising versus the prior bar, and the ATR spread is positive but below the long cap Short suggestion appears when the smoothed CVD crosses below zero, the anchored CVD is below its smoothing line and falling versus the prior bar, and the ATR spread is positive No new entries occur after the first losing trade of the day when the lockout is enabled What you will see on the chart Entry markers. Strategy entries labeled A for longs and B for shorts Exit behavior. Positions are closed when force flat is active, when outside the entry window, after lockout, or when an opposite signal occurs while in a position Optional diagnostic lines. Anchored CVD and its smoothing line can be shown to confirm regime flips Protected publication note This strategy is published as a protected script. The implementation details and source code are intentionally hidden, while the full methodology, logic structure, inputs, and usage guidelines are disclosed in this description. The purpose of protection is to preserve the integrity of the execution logic and prevent accidental modification or misuse of internal mechanisms, not to obscure how the strategy works or how it should be evaluated. Users are encouraged to assess the behavior through the visible signals, documented rules, and Strategy Tester results rather than relying on source inspection. Inputs with guidance Setup Reset basis (empty = chart). Defines when the anchored CVD resets. Blank uses the chart timeframe. Higher anchors reduce resets and can reduce flip frequency Entry window. Times when new positions are allowed Force flat window. Times when all positions are closed and no new entries occur Clock. Timezone used for session windows and the daily lockout day boundary Logic Smoothing. SMA length applied to anchored CVD. Typical range 3 to 20. Higher reduces sensitivity and trade frequency ATR slow. Baseline ATR length. Typical range 10 to 30 ATR fast. Short term ATR length. Typical range 2 to 10 Long cap. Upper bound for the ATR spread for long entries. Typical range 0.05 to 0.20 Risk Stop after first red trade. If enabled, once a losing trade closes, the strategy stops taking new entries until the next day Usage recipes Intraday trend focus for ES and NQ 10 minute Reset basis. Chart Smoothing. 5 Entry window. 09:45 to 12:45 New York time Force flat window. 13:30 to 16:00 New York time ATR slow 14, ATR fast 3, Long cap 0.10 Stop after first red trade ON More selective regime focus Increase Smoothing to 8 or 10 to reduce flip entries Reduce Long cap to tighten long entries during volatility expansion Keep Stop after first red trade ON for better chop control Broader session participation Extend Entry window earlier or later, but keep Force flat near the close Keep volatility settings unchanged first, then adjust only one parameter at a time Properties visible in this publication Initial capital 25000 Base currency Default Default order size 1 contract fixed Pyramiding 0 Commission 3 USD per contract Slippage 5 ticks Process orders on close ON Recalculate after order is filled ON Calc on every tick OFF Bar magnifier OFF Using standard OHLC OFF Strategy uses standard candles only All security calls use lookahead off Realism and responsible publication This script is for education and research only. Not investment advice Past results never guarantee future outcomes Commission and slippage vary by venue and broker. Backtests are approximations Signals can change intrabar and settle on bar close. Use on bar close alerts for conservative workflows Honest limitations and failure modes Intraday chop can create multiple regime flips. Smoothing and the daily lockout reduce but do not eliminate this risk Economic releases can invalidate volatility assumptions and increase slippage beyond modeled values Session windows depend on timezone and exchange calendar. Verify windows when changing instrument or venue If you apply this to symbols with unreliable volume, the CVD component can degrade Backtests do not include all real world frictions such as partial fills, queue priority, or variable spreads Open source reuse and credits None Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs. Strategy notice Orders are simulated by the TradingView engine on standard candles. request.security uses lookahead off everywhere. Non standard chart types are not supported for strategies. Entries and exits Entry logic. Long when smoothed anchored CVD crosses above zero with bullish candle confirmation, rising anchored CVD, and positive ATR spread below the long cap. Short when smoothed anchored CVD crosses below zero with anchored CVD below its smoother and falling, and positive ATR spread Exit logic. Close positions during the force flat window, outside the entry window, after daily lockout, or when an opposite signal appears while holding a position Risk model. Daily lockout after the first losing trade when enabled. No fixed stop or target is included by default Position sizing Fixed size. Default is 1 contract. Adjust based on your risk tolerance and venue constraints Dataset and sample size Default test window. Feb 2024 to Feb 2026 on ES1! 10 minute Trade count. Depends on session settings and costs. The published settings generate more than 100 trades for statistical relevance Account and sizing assumptions used in this publication For the examples shown in this publication, the strategy is configured with an initial capital of 25,000 to approximate a small intraday futures account under typical day trading margin assumptions. Position sizing is fixed to the minimum of one contract to keep exposure simple and conservative and to avoid compounding effects that can distort backtest interpretation. These settings are used only to standardize the simulation and make results easier to compare across sessions and market conditions. They do not imply suitability for any specific account size or trading arrangement, and users should adapt capital and sizing to their own risk constraints and broker requirements.
Pine Script™ 전략
exlux의
Multi-Metric Valuation IndicatorMulti-Metric Valuation Indicator - Accumulation/Distribution Signal This indicator combines six proven technical metrics into a single composite valuation score to help identify optimal accumulation and distribution zones for any asset. Built with the Mayer Multiple as its foundation, it provides a comprehensive view of whether an asset is overvalued or undervalued. Core Components: Mayer Multiple - Compares current price to 200-day moving average (traditional Bitcoin valuation metric) RSI (Relative Strength Index) - Identifies overbought/oversold momentum conditions Bollinger Band Position - Measures price location within volatility bands 50-Day MA Deviation - Tracks short-term trend strength Rate of Change (ROC) - Captures momentum shifts Volume Analysis - Confirms price moves with relative volume strength How It Works: Each metric is scored from -1 (extremely undervalued) to +1 (extremely overvalued) using granular thresholds. These scores are averaged into a composite valuation score that oscillates around zero: < -0.4: Strong Accumulation Zone (dark green background) -0.4 to -0.2: Accumulation Zone (light green background) -0.2 to +0.2: Neutral Zone (gray background) +0.2 to +0.4: Distribution Zone (light red background) > +0.4: Strong Distribution Zone (dark red background) Key Features: Real-time scoring table displays all component values and their individual scores Color-coded composite line (green = undervalued, red = overvalued) Background shading for instant visual signal recognition Built-in alerts for strong accumulation/distribution crossovers Fully customizable inputs for all parameters Clean, efficient code using ternary operators and one-line declarations Best Use Cases: Long-term position accumulation strategies Identifying macro market tops and bottoms Dollar-cost averaging entry/exit planning Multi-timeframe confirmation (works on daily, weekly, monthly charts) Risk management and position sizing decisions Interpretation: When the composite score drops below -0.4, multiple metrics simultaneously indicate undervaluation - a historically favorable accumulation opportunity. Conversely, scores above +0.4 suggest distribution may be prudent as multiple indicators flash overbought signals. The indicator is most powerful when combined with fundamental analysis and proper risk management. It's designed to keep emotions in check during extreme market conditions.
Pine Script® 인디케이터
MonkeyPhone의
1
KAPISH Weekly Open + Trailing SLThis script is a highly precise, rule-based breakout strategy designed to trade the Weekly Open price level. It is built for a "Jane Street" style of disciplined execution, meaning it prioritizes confirmation over speed to avoid market noise and "fakeouts."Here is the structural breakdown of how the script functions:1. The Core Anchor: Weekly OpenThe strategy uses the Weekly Open as its "Fair Value" line.It assumes that if price holds above the Weekly Open, the weekly trend is bullish.If price holds below, the trend is bearish.It applies your 0.01 buffer to ensure the breakout is meaningful and not just a "touch" of the level.2. The Precision Filter: 2-Candle DelayThis is the most critical part of the logic. Most retail traders enter the moment a level is crossed. This script does the opposite:Step 1: Price crosses the Weekly Open $\pm$ 0.01. (Marked by a tiny gray circle).Step 2: The script waits for two full candles to close.Step 3: On the third candle, it checks: "Is price still above/below the Weekly Open?"Result: If yes, it fires the BUY/SELL 2QTY signal. This filters out "stop-hunts" where price spikes and immediately reverses.3. Professional Trade Management (The "Split-Exit")Instead of exiting the whole trade at once, the script manages 2 Units (QTY) differently:Target 1 (TP1): A fixed "offload" point. This is designed to capture quick profit and reduce the risk of the trade.Target 2 (TP2) + Trailing SL: The second unit is the "runner."It aims for a larger target.It utilizes a Trailing Stop Loss that "climbs" behind the price. If price moves 30 points in your favor, the stop loss moves up 30 points automatically.
Pine Script™ 전략
kandoikapish47의
MarketStructureLab - Swing Reversion Zones (FREE)Swing Reversion Zones is an indicator designed to analyze price reversions to market structure after impulsive moves. The indicator builds a smoothed structural baseline and a dynamic deviation range, highlighting areas where price statistically tends to slow down, react, or retrace. What it shows • Zones of potential overbought and oversold conditions • Areas where price reverts back to structure • Context for pullback-based entries rather than entries in the middle of a move How to use • Trading swing movements within an existing trend • Identifying price reactions near the range boundaries • Confirming long and short setups in combination with market structure Features • Adaptive smoothing without reliance on static levels • Works across all markets and timeframes Important This indicator is not a signal system and does not make predictions. It highlights reaction and reversion zones relative to market structure. Trade decisions remain the trader’s responsibility. Designed for traders who focus on structure, context, and market reaction.
Pine Script® 인디케이터
MarketStructureLab의
3
OCTOPUS-Advanced Market Scanner [v24.6]OCTOPUS — Advanced Crypto Market Scanner Overview OCTOPUS is a professional-grade multi-asset momentum and relative strength scanner specifically engineered for the high-velocity Cryptocurrency Market. By scanning 15 of the most liquid crypto assets simultaneously, it identifies institutional participation, capital rotation, and high-probability breakout setups in real-time. Unlike standard lagging indicators, OCTOPUS utilizes a multi-layered evaluation system to rank coins based on volume surges, alpha generation (RS), and localized volatility contraction. Core Logic & Scoring Engine The indicator processes real-time data through a sophisticated evaluation framework (Core Engine v7), assigning a "Score" (0–5) to each asset. This comprehensive scoring engine evaluates the crypto market through four primary lenses: Volume Velocity: Compares current volume against a 20-period SMA. It captures the "Institutional Footprint" when volume significantly exceeds the user-defined Volume Multiplier. Impulse Sensitivity: Monitors price change percentage. It filters out market noise and highlights assets entering a "State of Trend." Relative Strength (RS Δ): Essential for crypto trading, this calculates the "Alpha" of each coin by comparing its performance against a Macro Proxy (e.g., BTC, HBAR, or a Custom Ticker). This highlights which altcoins are leading the market during Bitcoin's movements. Institutional Pockets: A volatility-contraction algorithm that identifies "coiling" phases where the price range narrows significantly despite high volume profile. These zones are critical for identifying "Spring" or "Shakeout" maneuvers before explosive moves. Key Features Dynamic Horizontal HUD: A real-time, auto-sorting dashboard located at the bottom of the interface. The scanner utilizes a sorting algorithm that prioritizes assets with the highest institutional scoring, automatically placing market leaders at the beginning of the list (left-most columns) for immediate identification. Macro Proxy Benchmark: Allows users to select a market benchmark (BTC, HBAR, etc.). This ensures RS calculations remain accurate during different market regimes (e.g., Altseason vs. Bitcoin Dominance). Advanced State Classification: L-LEAD / S-LEAD: Peak momentum with heavy volume confirmation (Top 1% of moves). IMPULSE UP/DOWN: Strong directional trend currently active. READY ZONE: Asset is in a "Pocket" (volatility contraction), indicating a potential breakout is imminent. Optimized Alerts: Integrated alert logic triggered only on confirmed bar closes for assets reaching the highest confidence score (Score 5). How to Use Asset Selection: Focus on assets appearing on the left side of the HUD. These are your market leaders with the highest scoring (4–5). Anticipation: Monitor the "READY ZONE" status to identify coins that are consolidating and accumulating strength before a major expansion. Refinement: Adjust Impulse Sensitivity based on market conditions (lower for Scalping, higher for Swing trading on 4H/Daily timeframes). Technical Transparency & Performance This script is engineered for peak efficiency and strictly adheres to the TradingView No-Repaint policy. All request.security calls are executed with lookahead = barmerge.lookahead_off. The scanner is carefully optimized to stay within platform limits while providing comprehensive coverage of the crypto universe. Disclaimer: This tool is for educational and analytical purposes only. Trading cryptocurrencies involves significant risk, and past performance is not indicative of future results.
Pine Script® 인디케이터
TheHarmonySystems의
4
POI + OCL Smart Money IndicatorPOI + OCL Smart Money Indicator is a Smart Money Concept (SMC)–based tool designed to help traders identify high-probability institutional entry zones with precision. This indicator focuses on the core logic of smart money by combining: POI (Point of Interest) Order Candle (OC) Order Candle Level (OCL) Key Features: Automatically detects Order Candles that cause strong displacement or structure breaks. Draws Order Candle Levels (OCL) such as the open or 50% body of the OC as potential re-entry zones. Highlights Points of Interest (POI) where smart money is likely to react. Designed for clean charts, non-repainting logic, and scalping precision. Optimized for lower timeframes (M1–M5), but adaptable to higher timeframes. Best Use Case: Scalping & intraday trading Smart Money / Institutional trading approach Precision entries with tight risk management This indicator is a technical analysis tool, not a buy/sell signal generator. Always combine it with proper market structure, risk management, and personal trading rules.
Pine Script® 인디케이터
HansTradeLab의
Shadow Mode Simulator ELITE🎮 SHADOW MODE SIMULATOR — FEATURE GUIDE Think of this as GTA with rules instead of random driving. 🏆 1. A / A+ SETUP GRADING (QUALITY CONTROL) Every entry is graded automatically: ✅ A+ Setup (best XP) Must have: • HTF trend aligned • Liquidity sweep OR perfect pullback • High confidence (4–5) ✅ A Setup (acceptable) Must have: • HTF trend aligned • ONE valid strategy condition ⚠️ B Setup (allowed but low reward) Everything else ❌ Invalid Bad RR or no strategy → XP penalty 👉 This trains selectivity (most traders fail here) 🗺️ 2. AUTO SESSION HEATMAP Background turns green during your trading session. This teaches: ✔ When liquidity is real ✔ When NOT to trade No more random midnight scalping. 😵 3. TILT DETECTOR Triggers when: • 2 losses in a row • Or cooldown active Shows: ⚠️ TILT WARNING This is your psychology guardian. (Pros stop trading here. Retail blows accounts here.) 🧠 4. STRATEGY-SPECIFIC VALIDATORS You can toggle: ✅ Liquidity sweep trades ✅ Trend pullback trades If you enter without one → ❌ punished. This builds: ➡️ mechanical discipline ➡️ no random clicking ⏳ 5. EMOTIONAL COOLDOWN SYSTEM After a loss: • You are “locked” for X candles • No rushing back in This rewires revenge trading. 📊 6. LIVE PERFORMANCE ENGINE Tracks: • XP • Level • Win rate • Win/loss streak • Trade count • Tilt state • HTF bias • Setup grade You level up by: 👉 discipline — not profit 📈 LEVEL MEANING (IMPORTANT) Level Skill State 1–2 Impulsive 3–4 Learning patience 5–6 Controlled 7–8 Consistent 9+ Pro-ready You should NOT trade real money seriously before level 7. 🧪 FULL LIVE TUTORIAL — HOW TO USE IT STEP 1 — SETUP Open TradingView Open chart you scalp (NIFTY/BTC/etc) Add the Shadow Mode indicator Set: • Session time • HTF timeframe • Max trades STEP 2 — MARKET OPENS Your job first 10–15 mins: ❌ Do nothing 👀 Just watch structure (This alone fixes overtrading) STEP 3 — WHEN YOU SEE A SETUP Ask: ✔ HTF aligned? ✔ Liquidity sweep or pullback? ✔ RR good? If yes: 👉 Click 📥 ENTRY You’ll see: • Grade (A / A+) • Entry marker STEP 4 — MANAGE LIKE A ROBOT Do NOT interfere. Let: • TP • SL • or invalidation happen STEP 5 — EXIT Click: 📤 EXIT when trade is done System: • Awards XP • Updates streaks • Tracks win rate STEP 6 — IF YOU MESSED UP Click: ❌ RULE BREAK (Takes XP + activates cooldown) This hurts — on purpose. 📆 PERFECT TRAINING DAY LOOKS LIKE: ✅ 1–2 A/A+ trades ✅ maybe 1 loss ✅ stop after cooldown ✅ XP positive Even if P&L is flat. That’s winning. 🚫 COMMON MISTAKES (DON’T DO THESE) ❌ Clicking entry emotionally ❌ Ignoring HTF bias ❌ Overtrading ❌ Chasing candles ❌ Skipping cooldown The simulator is designed to punish these. 🧠 WHY THIS WORKS (SCIENCE SIDE) This trains: • Pattern recognition • impulse control • delayed gratification • process over money Same principles used in pilot & athlete simulators. 🎯 OPTIONAL HARD MODE (WHEN READY) • Max 1 trade/day • Only A+ setups • Higher RR minimum This accelerates mastery.
Pine Script® 인디케이터
lohanineeraj의
Intervalo de la confianza T.JODEN V2This tool is completely free to use. En español mas abajo para leer. "Bitcoin Tower Trading Learning BTTL". This is my YouTube channel. This confidence interval is calculated using VWMA-10 instead of the standard confidence interval, which in statistics uses the moving average (SMA). Using VWMA places more emphasis on its movement in relation to volume. There are several timeframes for the confidence interval, and users don't have to pay extra for the number of indicators. The 10-period confidence interval is most effective on 1-hour and 4-hour timeframes for Bitcoin. However, it is always recommended to use ADX and its Di+/D- for greater entry confidence. This is not investment or trading advice. Try it out, and if you find it effective, enjoy it. Stay tuned to YouTube, where I'll let you know when a new project will be released to the public, because I'm still studying Pinscript and developing new projects. Este trabajo es totalmente gratis su uso. "Bitcoin Tower Trading Learning BTTL". Este es mi canal en YOUTUBE. Este Intervalo de la confianza es calculado con VWMA-10 en ves del normal Intervalo de la confianza que en estadistica se usa la MEDIA MOVIL en ingles sma. Usando VWMA se le pone mas infacis a su movimiento con su volumen. Hay varias temporalidades del Intervalo de la confianza cual los usiarios no tienen que pagan un dinero extra por cantidad de indicadores. EL intervalo de la confianza temporalidad de 10 es mas efectivo en temporalidad de 1 hora y 4 horas en BITCOIN. Pero se recomiendo siempre usar ADX y su Di+ D- para tener mas seguridad en entrada. En ningun momento es consejo de inversion ni de trading. Pruevelo y si mira que es efectivo para su uso disfrutelo. Mantengase en sintonia en YOUTUBE que alli le dire cuando un nuevo trabajo sera puesto en publico uso, porque sigo estudiando pinescript y elavorando nuevos trabajos.
Pine Script® 인디케이터
ggsant20의
SIGMA Market Sessions Boxes)//@version=5 indicator("SIGMA Market Sessions Boxes)", overlay=true) // ===== عدد الأيام ===== maxDays = input.int(5, "Days to Show", minval=1) // ===== الجلسات ===== americasSession = input.session("0700-0701","Americas") frankfurtSession = input.session("0700-0701","Frankfurt") londonSession = input.session("0800-0801","London") nySession = input.session("0930-0931","New York") chinaSession = input.session("0930-0931","China") tokyoSession = input.session("0900-0901","Tokyo") // ===== المناطق الزمنية ===== americasTZ = "America/New_York" frankfurtTZ = "Europe/Berlin" londonTZ = "Europe/London" nyTZ = "America/New_York" chinaTZ = "Asia/Shanghai" tokyoTZ = "Asia/Tokyo" // ===== تفعيل الجلسات (كلها ON) ===== showAmericas = input.bool(true, "Americas", group="Sessions") showFrankfurt = input.bool(true, "Frankfurt", group="Sessions") showLondon = input.bool(true, "London", group="Sessions") showNY = input.bool(true, "New York", group="Sessions") showChina = input.bool(true, "China", group="Sessions") showTokyo = input.bool(true, "Tokyo", group="Sessions") // ===== بيانات الدقيقة وتمريرها لكل الفريمات ===== hi1 = request.security(syminfo.tickerid,"1", high, lookahead=barmerge.lookahead_on) lo1 = request.security(syminfo.tickerid,"1", low , lookahead=barmerge.lookahead_on) newDay = request.security(syminfo.tickerid,"1", ta.change(time("D")), lookahead=barmerge.lookahead_on) americasOpen = request.security(syminfo.tickerid,"1", not na(time("1",americasSession,americasTZ)), lookahead=barmerge.lookahead_on) frankfurtOpen = request.security(syminfo.tickerid,"1", not na(time("1",frankfurtSession,frankfurtTZ)),lookahead=barmerge.lookahead_on) londonOpen = request.security(syminfo.tickerid,"1", not na(time("1",londonSession,londonTZ)), lookahead=barmerge.lookahead_on) nyOpen = request.security(syminfo.tickerid,"1", not na(time("1",nySession,nyTZ)), lookahead=barmerge.lookahead_on) chinaOpen = request.security(syminfo.tickerid,"1", not na(time("1",chinaSession,chinaTZ)), lookahead=barmerge.lookahead_on) tokyoOpen = request.security(syminfo.tickerid,"1", not na(time("1",tokyoSession,tokyoTZ)), lookahead=barmerge.lookahead_on) // ===== مصفوفات ===== var box boxesArr = array.new_box() var label lblArr = array.new_label() // ===== دالة إنشاء صندوق ===== createBox(_cond,_col,_name)=> if _cond b = box.new(bar_index, hi1, bar_index + 1, lo1, border_color=_col, bgcolor=color.new(_col, 80)) l = label.new(bar_index, hi1, _name, style=label.style_label_left, color=_col, textcolor=color.black, size=size.small) array.push(boxesArr, b) array.push(lblArr, l) // ===== أول دقيقة من اليوم ===== if newDay createBox(true, color.gray, "First") // ===== الجلسات ===== if showAmericas createBox(americasOpen , color.green , "Americas") if showFrankfurt createBox(frankfurtOpen, color.purple, "Frankfurt") if showLondon createBox(londonOpen , color.blue , "London") if showNY createBox(nyOpen , color.red , "New York") if showChina createBox(chinaOpen , color.orange, "China") if showTokyo createBox(tokyoOpen , color.yellow, "Tokyo") // ===== تحديث الصناديق ===== if array.size(boxesArr) > 0 for i = 0 to array.size(boxesArr) - 1 bx = array.get(boxesArr, i) lb = array.get(lblArr, i) box.set_right(bx, bar_index) label.set_x(lb, box.get_left(bx)) label.set_y(lb, box.get_top(bx)) // ===== حذف الأيام القديمة ===== maxObjects = maxDays * 7 while array.size(boxesArr) > maxObjects box.delete(array.shift(boxesArr)) label.delete(array.shift(lblArr))
Pine Script® 인디케이터
matar007의
QUANTA - LAB GARCHInstitutional volatility modeling suite with GARCH estimation, VaR/CVaR risk metrics, and Basel III backtesting. Models Available: GARCH(1,1) — symmetric volatility clustering GJR-GARCH(1,1) — asymmetric leverage effect EGARCH(1,1) — log-variance specification Risk Metrics: VaR (95%/99%) with Student-t fat tails CVaR/Expected Shortfall (coherent risk measure) Multi-horizon VaR (1d, 5d, 10d) with persistence-adjusted scaling DoF estimation via method of moments (±15-25% uncertainty) Backtesting (Basel III Compliant): Kupiec unconditional coverage test Christoffersen independence test Traffic light system (Green/Yellow/Red zones) Diagnostics: ARCH-LM test for residual effects AIC/BIC information criteria Structural break detection (CUSUM-based) Jump/outlier detection Model confidence score (0-100) V3.6 Improvements: Adaptive grid search (~60% faster) High persistence warning (p > 0.98) Persistence-adjusted multi-horizon scaling (better than √T) Dashboard Includes: Real-time conditional volatility (annualized) Parameter estimates (α, β, γ, θ) Persistence and half-life Regime classification (Normal/Elevated/Crisis) Important: Grid search produces point estimates (no confidence intervals) Parameters may differ ±3-5% from true MLE NOT for illiquid assets or significant overnight gaps Screening tool only — validate with Python arch / R rugarch References: Bollerslev (1986), Nelson (1991), GJR (1993), Engle (1982), McNeil et al. (2015), Kupiec (1995), Christoffersen (1998)
Pine Script® 인디케이터
CUIRIZQUANTLAB의
QUANTA - LAB HMM REGIME DETECTION Two-state Hidden Markov Model for market regime detection based on Hamilton (1989) Markov-Switching framework. Methodology: Full Baum-Welch EM algorithm in log-space for numerical stability Real-time Hamilton filtering (no lookahead) for trading use Kim smoothing for historical analysis Multiple random restarts to avoid local optima Regime Classification: Mean-based: R1 = Bearish (lower μ), R2 = Bullish (higher μ) Volatility-based: R1 = Calm (lower σ), R2 = Turbulent (higher σ) Key Features: TRADING vs ANALYSIS mode (filtered vs smoothed probabilities) Gaussian assumption diagnostics (kurtosis, skewness, outliers) Data Quality Score (0-100) Regime Certainty Index (RCI) Mean separation t-statistic Expected regime duration and ergodic probabilities Degenerate model detection Dashboard Includes: Filtered probabilities (real-time, safe for trading) Emission parameters (μ₁, μ₂, σ₁, σ₂) Transition matrix (p₁₁, p₂₂) Model fit metrics (LogL, AIC, BIC) Critical Warnings: Smoothed ≠ Real-time (smoothed uses future info) Gaussian assumption: fat tails not captured K=2 regimes only — may oversimplify dynamics NOT for high-frequency (minimum 1H timeframe) Validate with Python hmmlearn / R / MATLAB References: Hamilton (1989) — Econometrica
Pine Script® 인디케이터
CUIRIZQUANTLAB의
QUANT - LAB MICROSTRUCTUREMarket microstructure analysis suite for liquidity diagnostics and transaction cost estimation. Liquidity Metrics: Return-Volume Sensitivity (Hasbrouck 1991 inspired proxy) Roll Spread Estimator (Roll 1984) — effective spread from price autocovariance Amihud Illiquidity Ratio (Amihud 2002) — price impact per dollar volume Features: Z-score normalization with configurable lookback Automatic regime classification (Normal/Elevated/Extreme) Roll validity detection (Cov < 0 requirement) Data quality metrics and validity percentage tracking Interpretation: RVS: Price sensitivity to order flow (higher = more impact) Roll: Effective bid-ask spread in bps (undefined when Cov > 0) Amihud: Illiquidity measure (higher = harder to trade) Dashboard Includes: Real-time Z-scores with regime labels Dollar volume and volume trend (20/60 ratio) Realized volatility (annualized) Roll spread validity monitoring Important: Z-scores are HEURISTIC thresholds (fat tails apply — ±2σ ≠ 95%) RVS uses endogenous proxy — NOT true Kyle's Lambda Roll undefined when serial covariance > 0 (momentum regime) Research/diagnostic tool only — NOT a trading system References: Kyle (1985), Roll (1984), Amihud (2002), Hasbrouck (1991), Lee & Ready (1991)
Pine Script® 인디케이터
CUIRIZQUANTLAB의
IB +Strat 2-1 ELITE 2 IB IB + Strat 2-1 ELITE (2 IB + Win Rate)This is a premium Inside Bar (IB) breakout system that combines The Strat methodology, compression analysis, and multiple quality filters with live win rate tracking to identify high-probability breakout setups.🎯 What It DoesFocuses on the 2-IB pattern (IB to IB) - a specific compression setup where you get two consecutive inside bars before a breakout. This pattern represents significant consolidation and often leads to explosive moves. The indicator applies 8 strict filters to ensure only the highest quality setups trigger signals.📊 Core Methodology1. Inside Bar (IB) ConceptInside Bar = Current bar completely contained within previous bar's rangeMother Bar: |────────| ↓ Inside Bar: |───| ← High < Mother High, Low > Mother LowWhy Inside Bars Work: Represent consolidation/compression Market indecision before big move Institutional accumulation zones Tighter range = more energy stored 2. The 2-IB Pattern (IB to IB)The "Magic" Pattern: Bar 1 (Mother): |──────────| ← Establishes range Bar 2 (IB1): |────| ← First compression Bar 3 (IB2): |──| ← Second compression (SMALLER!) Bar 4 (Break): |──────────→ ← EXPLOSIVE BREAKOUTWhy 2-IB is Superior: More compression = More energy Double confirmation = Higher probability Second IB smaller = Validated compression Rare enough to be significant Common enough to be tradeable Compression Requirement: 2nd IB must be smaller than 1st IB (tighter range) Minimum 15% compression from Mother Bar (default) Purple background shows valid compression 3. The Strat Classification SystemRob Smith's "The Strat" categorizes every bar into 3 types:Type 1 (Inside Bar): High < Previous High Low > Previous Low Yellow bar on chart Represents compression/indecision Type 2U (Bullish Directional): High > Previous High Low ≥ Previous Low (not a 3) Green bar on chart Bullish momentum Type 2D (Bearish Directional): Low < Previous Low High ≤ Previous High (not a 3) Red bar on chart Bearish momentum Type 3 (Outside Bar): High > Previous High Low < Previous Low Purple bar on chart Expansion/volatility 4. The Strat 2-1-2 PatternThe Gold Standard Setup:Bullish 2-1-2: Bar 1: Type 1 (Inside) ← Compression Bar 2: Type 2U (Break Up) ← SIGNALBearish 2-1-2: Bar 1: Type 1 (Inside) ← Compression Bar 2: Type 2D (Break Down) ← SIGNALWhy It Works: Type 1 = Consolidation (coiling spring) Type 2 = Directional break = Spring releases Institutional pattern for continuation 5. Shooter Pattern (Advanced Reversal)Most Powerful Reversal Setup:Bullish Shooter: 2D-1-2U Bar 1: Type 2D (Down move) Bar 2: Type 1 (Inside - pause) Bar 3: Type 2U (Break up) ← REVERSAL SIGNALBearish Shooter: 2U-1-2D Bar 1: Type 2U (Up move) Bar 2: Type 1 (Inside - pause) Bar 3: Type 2D (Break down) ← REVERSAL SIGNALWhy Shooters are Powerful: Capture trend exhaustion Type 1 = Institutions repositioning Violent reversals often follow Small circles mark shooter patterns on chart 🔒 8-Filter Quality Control SystemFilter 1: Minimum 2 Consecutive Inside Bars Default requires 2 IB minimum Adjustable 2-10 range More IB = tighter compression Status: Shows current IB count Filter 2: Compression Validation 2nd IB must be smaller than 1st IB Minimum 15% compression from Mother Bar Validates true consolidation Purple background when active Status: Shows compression percentage Filter 3: Strat 2-1-2 Pattern Requires Type 1 followed by Type 2U/2D Can optionally require Shooter pattern Institutional entry confirmation Status: Shows if 2-1 pattern detected Filter 4: HTF (Higher Timeframe) Continuity Default: 60-minute timeframe Checks if HTF is bullish (2U/3 green) or bearish (2D/3 red) Only takes trades in HTF direction Continuity = Trading with the tide Status: Shows HTF direction Filter 5: HTF2 (Second Higher Timeframe) Optional: 240-minute (4H) timeframe Additional confirmation layer For swing traders wanting extra confirmation Status: Displays when enabled Filter 6: Volume Spike Requirement 10-level volume scale (1-10) Default requires level 7+ Normalized against 20-bar average Optional volume expansion check Status: Shows current volume level Filter 7: Trend Alignment (EMA) Default: 50 EMA Long: Price > EMA + EMA sloping up Short: Price < EMA + EMA sloping down EMA plotted on chart (green up, red down) Status: Shows price vs EMA + slope Filter 8: ATR Volatility Check Mother Bar range must be within 0.5-3.0x ATR Too small = no follow-through Too large = overextended Ensures "normal" consolidation size Status: Shows if ATR valid 📊 Elite Signal Requirements⭐ ELITE SIGNAL = 7 or 8 filters passedWhen 7+ filters align: Gold diamond shape on chart "⭐ ELITE BUY/SELL" label Separate win rate tracking Highest probability setups Standard signals (4-6 filters): Regular triangle shapes Green/Red labels Still good quality 🎨 Visual ElementsBar Coloring (Strat Classification) Yellow bars = Type 1 (Inside) Green bars = Type 2U (Up) Red bars = Type 2D (Down) Purple bars = Type 3 (Outside) Labels on Each Bar "1", "2U", "2D", "3" = Strat type "IB2", "IB3" etc = Inside Bar count Tiny labels above/below bars Mother Bar Range Orange horizontal lines extending right Shows breakout levels to watch "Break: " labels on right Updates as IB sequence builds Compression Zone Purple semi-transparent background Appears when 2+ IB with valid compression Visual cue that setup is building EMA Trend Line Green = Uptrending (sloping up) Red = Downtrending (sloping down) Gray = Flat/choppy 2-pixel width for visibility Signal MarkersElite Signals: 🟨 Gold diamond below/above bar Large label: "⭐ ELITE BUY/SELL" Shows IB count and volume level Example: "⭐ ELITE BUY 2IB×2 | V:8" Standard Signals: 🟢 Green triangle up = BUY 🔴 Red triangle down = SELL Shows: "BUY 2IB×2 | V:7" Shooter Patterns: 🟢 Tiny green circle = Bullish shooter 🟣 Tiny purple circle = Bearish shooter Stop Loss & Target: Red dotted line = Stop Loss (Mother Bar opposite side) Green/Red dashed line = Take Profit (1.5x Mother Bar range default) "SL" and "TP" labels on right 📊 Live Win Rate Dashboard (Top Right)Real-time performance tracking:┌──────────────────────┐ │ 📊 2-IB WIN RATE │ ├──────────────────────┤ │ OVERALL 68.2% │ ← Huge text, color-coded │ Trades 44 (30W/14L) │ Avg P/L +1.23% │ ├──────────────────────┤ │ ⭐ ELITE 82.1 Sonnet 4.5
Pine Script® 인디케이터
jmslimus의
Meridian v2A comprehensive multi-timeframe trading system that combines statistical volatility levels, dynamic price ranges, momentum-based signals, and precision entry/exit zones. Key Features: StdDev Levels: Displays standard deviation bands from higher timeframes (4H, 1H default) to identify key support/resistance zones based on price volatility Trading Ranges: Automatically plots dynamic support/resistance ranges using ATR calculations with adaptive zone fills ZScore Momentum: Colors candles based on normalized price momentum relative to moving average, highlighting bullish/bearish conditions 60 Tick Lines: Draws horizontal lines at precise tick distances above/below current price for scalping entries EMA System: Dual EMA crossover signals with optional volume confirmation and visual ribbon display Trade Signals: Diamond markers for range breakout entries, triangle markers for EMA crossovers Perfect for multi-timeframe analysis combining volatility structure, momentum, and precise price levels for confluence-based trading decisions.
Pine Script® 인디케이터
I_See_Candles의
Trend Momentum v6Features - Trend EMAs: plots Fast EMA and Slow EMA to visualize direction and strength. - RSI Filter (optional): gates signals by RSI thresholds to reduce whipsaws. - Multi-Timeframe (MTF): computes EMAs/RSI on a selected timeframe via request.security. - Signals: triangle markers for Long/Short when fast EMA crosses slow EMA with optional RSI gating. - Bar Coloring: green for up-trend, red for down-trend, neutral otherwise. - Alerts: built-in alertcondition for Long Signal and Short Signal. Inputs - Signal timeframe: timeframe for EMAs/RSI; empty uses chart timeframe. - Fast/Slow EMA length: trend speed vs smoothness (21/50 default). - RSI length and thresholds: default RSI(14), thresholds at 50 for symmetry. - Confirm signals on bar close: requires bar close confirmation to avoid intrabar flips. - Show signal markers: enable/disable triangles. - Color bars by trend: enable/disable bar coloring. Signals - Long: Fast EMA crosses above Slow EMA, optionally with RSI >= bull threshold. - Short: Fast EMA crosses below Slow EMA, optionally with RSI <= bear threshold. - Trend coloring: independent of cross signals; reflects current EMA relation plus optional RSI gating. Tutorial - Add to chart: - Open TradingView → Pine Editor → paste the script → Save → Add to chart. - Configure: - Leave Signal timeframe empty for chart timeframe or choose higher TF (e.g., 1h while viewing 5m). - Start with Fast EMA=21, Slow EMA=50; adjust for your market’s volatility. - Keep RSI filter on with thresholds at 50 for balanced gating. - Enable “Confirm signals on bar close” for stable, non-repainting entries. - Interpret: - Long triangle appears after a bullish EMA cross that meets RSI criteria (if enabled). - Bars turn green when trendUp; red when trendDown; neutral when neither condition holds. - Alerts: - Add the indicator → Create Alert → Source: this indicator → Condition: Long Signal or Short Signal. - Configure frequency (Once per bar close recommended when confirm is enabled). - MTF guidance: - For intraday, set Signal timeframe to a higher TF (15m–1h) to align entries with dominant trend. - Using lookahead=barmerge.lookahead_off prevents future-data repainting; signals appear only when confirmed. Customization - Faster entries: lower Fast EMA (e.g., 13) or raise RSI bull threshold above 50 for stronger momentum. - Smoother trend: raise Slow EMA (e.g., 100) to reduce choppiness. - Stricter shorts: set RSI bear threshold below 50 (e.g., 45 or 40). - Intrabar signals: disable “Confirm signals on bar close” to see crosses mid-bar (more responsive, more noise). - Fixed indicator timeframe: if you want chart to render with gaps per fixed TF, set timeframe on indicator itself (e.g., timeframe="60") and optionally enable timeframe_gaps. Best Practices - Use with structure: apply on liquid instruments; combine with session/volatility filters if needed. - Risk management: consider ATR-based stops and position sizing; signals are entries, not guarantees. - Avoid overfitting: keep lengths and thresholds simple; validate across symbols and regimes. Limitations - Cross-based entries can lag at reversals and whipsaw in ranges; RSI gating helps but doesn’t eliminate noise. - MTF aggregation can delay signals compared to the chart’s timeframe; this is expected behavior.
Pine Script® 인디케이터
lohanineeraj의