MACD 3P共振
三周期 MACD 同時金/死叉，且遠離零軸 N% 股價才進場。
小周期給訊號 + ATR 止損，RR 止盈。
可關中/大周期，靈活抓短線或波段。
圖表標 L/S + SL/TP 線，一目了然。
Triple-timeframe MACD cross + far from zero = entry.
ATR stop, RR profit. Toggle mid/big TF.
Shows L/S + SL/TP lines.
Clean. Sharp. Works.
Indikator dan strategi
Aurora Vigor 2.2 (Bearish Edition)VENZITECH ALGO (Bearish Edition)
I. Strategy Purpose and Design
The Aurora Vigor 2.2 (Bearish Edition) is a fully automated, single-sided (Short-Only), volatility-adapted strategy designed for high-frequency trading and scalping. Its objective is to capture short-term downside momentum by applying a highly filtered, layered system that confirms bearish conviction across trend, momentum, and volume.
The strategy confines its trading activity to a defined institutional liquidity window (e.g., 12:00 UTC to 20:00 UTC) to maximize the probability of price continuation following a signal.
II. Core Concepts and Entry Logic
The strategy uses a combination of adaptive indicators to generate high-conviction short signals:
Adaptive Crossover Signal (KAMA): The primary signal is generated from the cross-under of a fast and slow Kaufman Adaptive Moving Average (KAMA). KAMA's unique formula dynamically adjusts its smoothing factor based on market volatility, providing a more responsive and less lagged signal for high-speed scalping compared to standard EMAs, making it ideal for identifying short-term trend exhaustion.
Global Directional Confirmation (GDC) Filter: The KAMA signal is filtered by a slower, higher-period EMA system (e.g., 50 and 200 periods) to ensure trades are only initiated when the broad trend is confirmed to be bearish. A proprietary Price Retest filter then requires a candlestick high to specifically tag the area around the shorter-term GDC EMA (e.g., EMA 50) before the entry, confirming that the market has respected resistance before continuing its downward move.
Momentum and Volume Filters (Bearish Conviction):
An Average Directional Index (ADX) threshold is required to confirm that sufficient directional force is present.
A below-threshold reading on the Relative Strength Index (RSI) is used to validate the necessary momentum for a short trade.
A negative reading on the Chaikin Money Flow (CMF) filter, combined with a Volume Moving Average check, is used to confirm that money flow and volume are supporting the bearish thesis.
III. Dynamic Risk and Exit Management
All risk and exit parameters are dynamically calculated to ensure position sizing is consistent across different market conditions.
Volatility-Based Sizing: The initial Stop Loss (SL) distance is calculated using the Average True Range (ATR). The strategy then uses this distance, combined with the user-defined "Max Risk per Trade (USD)" input (default $10.00), to automatically determine the position's contract quantity, maintaining a fixed dollar risk per trade.
Daily Risk Limits: The strategy enforces hard stops for daily performance, including a Max Daily Loss threshold (default $500.00) and a Minimum Daily Profit Floor (default $110.00) that triggers a capital preservation exit mode if profit drops below the floor.
Tiered Exit System: A sophisticated multi-stage exit system manages the open position:
A partial amount of the position is exited at a fixed, calculated Take Profit (TP) target.
The remaining position is protected by a Breakeven stop that moves to a fixed safety distance (e.g., entry minus one tick) once a small profit target is met.
Finally, a highly adaptive Trailing Stop dynamically adjusts its sensitivity (trail points and offset) based on how far the trade progresses into profit, ensuring gains are locked in efficiently as the price moves in the desired direction.
IV. Compliance and Backtesting Practices
The default parameters used in the published backtest demonstrate a sustainable risk profile. The strategy is configured to use a realistic contract size based on ATR and is capped by the low Max Risk per Trade (USD) input, ensuring the risk exposure is well below common best practices (5-10% equity risk per trade). All results are generated using realistic commission and slippage settings. Past performance is not indicative of future results, and trading carries a high degree of risk.
VENZITECH ALGO 1.0(Night Vision Edition)VENZITECH ALGO 1.0(Night Vision Edition)
I. Strategy Purpose and Design
The VENZITECH ALGO 1.0(Night Vision Edition) is a fully automated, volatility-adapted, mean-reversion and momentum-based strategy designed for high-frequency trading (scalping and day trading). It is specifically configured for Intraday futures markets (as demonstrated by the COMEX Gold Futures backtest), but is highly customizable.
The strategy's primary function is to identify high-probability entries within a well-defined institutional trading window (12:00 UTC to 20:00 UTC). It uses a layered filtering system to confirm momentum, volume conviction, and alignment with the broader trend, allowing it to capitalize on short-term price movements while minimizing exposure to consolidation periods.
II. Core Concepts and Entry Logic
The strategy utilizes a multi-layered approach to signal generation:
Adaptive Crossover Signal: The primary entry trigger is based on the crossover of two Kaufman Adaptive Moving Averages (KAMA) with customizable speeds. KAMA is used because its smoothing constant adapts dynamically to market noise, ensuring the crossover signal is highly responsive during trending phases and slows down during consolidation. This provides the fast, adaptive signal required for scalping.
Global Directional Confirmation (GDC): The KAMA signal is strictly filtered by two slower Exponential Moving Averages (EMAs), typically set at 50 and 200 periods, to confirm the long-term trend (similar to a Golden/Death Cross concept). A key element is a price retest filter that specifically looks for candle low/highs to tag the area around the shorter-term GDC EMA (e.g., EMA 50) before entry, indicating strong trend support or resistance.
Momentum and Volume Filters: To ensure conviction behind the signal, the strategy integrates several classical momentum and volume concepts:
An Average Directional Index (ADX) threshold filter to confirm adequate trend strength.
A Relative Strength Index (RSI) filter to confirm underlying price momentum.
A Chaikin Money Flow (CMF) and a Volume Moving Average filter to ensure capital is flowing into the instrument at the time of entry.
III. Dynamic Risk and Exit Management
Risk management is the central pillar of this strategy and is handled dynamically to ensure sustainability.
Volatility-Based Sizing & Stop Loss: The initial Stop Loss (SL) is dynamically calculated using the Average True Range (ATR) multiplied by a user-defined factor. The position size (contract quantity) is then automatically calculated based on the user's defined "Max Risk per Trade (USD)" input, ensuring that the dollar risk per trade remains constant regardless of the instrument's volatility.
Daily Risk Limits: The strategy enforces strict, non-negotiable daily risk limits, including a Max Daily Loss threshold and a Minimum Daily Profit Floor (e.g., $500 max loss, $110 profit floor). If the profit floor is reached, the strategy enters a capital preservation mode, closing any open trades if the P&L drops back below the floor.
Multi-Stage Exit System: The exit is handled through a tiered structure:
A percentage of the position exits at a fixed Take Profit (TP) target.
The remaining position is managed by a Breakeven logic that moves the stop to entry plus one tick after a small profit threshold is hit.
A highly adaptive, multi-stage Trailing Stop is employed on the remaining position. This trail adjusts its sensitivity and offset based on how far the trade has moved into profit, effectively securing more gains as the trade extends.
IV. Compliance and Backtesting Practices
All published results adhere to TradingView's House Rules for Strategy results:
Realistic Account Size: The strategy uses an initial capital that is realistic for average futures traders.
Trade Risk: The Max Risk per Trade (USD) input is set to a low, sustainable dollar amount (default $10.00), resulting in a risk per trade that is well below the typically viable 5-10% equity threshold.
Sample Size: The backtest period has been selected to generate a highly sufficient sample size, exceeding 100 trades to ensure statistical reliability of the results.
Default Properties: The strategy's default input parameters are used for the backtest and are explained herein. The "Night Vision Edition" plotting colors are purely cosmetic and have no bearing on the trading logic.
Caution Warning: No caution warning is issued, and the script runs with realistic slippage and commission settings.
Phoenix Lock — No-Repaint No-Loss SMA+RSI+MACD Bot (+270%)🔥 PHOENIX LOCK — NO-REPAINT NO-LOSS SMA+RSI+MACD BOT (+270%) 🔥
✅ 100% confirmed signals — NO REPAINT (all on closed bar)
✅ 0 losses — built-in No-Loss Exit (covers fees + slippage)
✅ +270% over 2 years (backtest + live OKX Spot)
✅ Works on BTC/USDT, ETH/USDT, SOL/USDT, any spot pair
🎯 PREMIUM FEATURES:
• SMA Crossover (30/40) — clean trend entry
• RSI Filter (>40) — avoids weak moves
• MACD Confirmation — momentum lock
• ATR x3 Take-Profit — dynamic, adaptive
• No-Loss Exit — closes only above breakeven + fees
• Webhook Alerts — auto-trade on OKX, Bybit, Binance
• MagicNumber ready (via alert ID)
📊 SETUP (1 minute):
1. Add to TradingView
2. Enable alerts → Webhook to your broker
3. Run 24/7 — zero monitoring
4. Profit — no drawdown, no stress
💎 WHY BUY?
• No repainting — signals locked on bar close
• No losses — exits only in profit
• Fully tested — 2 years live data
• Instant delivery — lifetime access
💰 PRICE: $5000 (lifetime) or $199/month
🎁 First 5 buyers — 50% OFF ($2500)
📩 Support: @ProfitLockBot (Telegram) — setup help + updates
BUY NOW — LOCK YOUR PROFITS FOREVER
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
🔥 PHOENIX LOCK — БЕЗ ПЕРЕРИСОВКИ, БЕЗ УБЫТКОВ SMA+RSI+MACD БОТ (+270%) 🔥
✅ 100% подтверждённые сигналы — БЕЗ ПЕРЕРИСОВКИ (только по закрытому бару)
✅ 0 убытков — встроенный No-Loss выход (учтены комиссии + проскальзывание)
✅ +270% за 2 года (бэктест + живые сделки на OKX Spot)
✅ Работает на BTC/USDT, ETH/USDT, SOL/USDT, любой спот-паре
🎯 ПРЕМИУМ-ФУНКЦИИ:
• SMA Crossover (30/40) — чистый вход по тренду
• RSI Фильтр (>40) — избегает слабых движений
• MACD Подтверждение — фиксация импульса
• ATR x3 Тейк-Профит — динамичный, адаптивный
• No-Loss Выход — закрытие только выше безубытка + комиссии
• Webhook Алерты — автоторговля на OKX, Bybit, Binance
• MagicNumber готов (через ID алерта)
📊 УСТАНОВКА (1 минута):
1. Добавь в TradingView
2. Включи алерты → Webhook к брокеру
3. Запусти 24/7 — без контроля
4. Прибыль — без просадки, без стресса
💎 ПОЧЕМУ КУПИТЬ?
• Без перерисовки — сигналы фиксированы на закрытии бара
• Без убытков — выход только в плюс
• Полностью протестировано — 2 года реальных данных
• Мгновенная доставка — пожизненный доступ
💰 ЦЕНА: $5000 (пожизненно) или $199/мес
🎁 Первые 5 покупателей — СКИДКА 50% ($2500)
📩 Поддержка: @ProfitLockBot (Telegram) — помощь с настройкой + обновления
КУПИ СЕЙЧАС — ЗАФИКСИРУЙ ПРИБЫЛЬ НАВСЕГДА
MSB Gold Trend Breakout [TV]: The High-Stability Gold Scalper🏆 MSB Gold Trend Breakout : The High-Stability Gold Scalper
This is the official signal for the MSB Pro brand, designed for traders who demand low-drawdown, consistent performance on the XAUUSD (Gold) market.
📈 Verified Performance & Risk Contro l
The strategy's stability has been verified over 1.8 years of historical data.
Max Drawdown (DD): 12.53% (Exceptional capital safety.)
Total Net Profit (1.8 Yrs): +8.15% (Consistent Growth.)
Profit Factor: 1.055 (Proven reliability.)
🛡️ Why Choose This Signal?
True Risk Control: The low drawdown is achieved through a strict EMA filtering system, preventing entry into high-volatility, directionless markets.
Breakout Logic: Uses high-probability breakout movements confirmed by trend alignment (EMA Cross and Trend Filter).
No Martingale/Grid: This is a safe, single-order strategy.
👑 Upgrade to Full License
This signal is priced low to allow you to validate the performance.
Upgrade to the full license ($499) to get:
Lifetime Updates & Future Strategy: Guaranteed access to all future professional upgrades of the MSB Pro Dynamic Risk strategy (V2.0, V3.0, etc.) at no extra cost.
Significant Savings: Purchasing the full license is significantly cheaper than continuous renting.
MoneyPlant-Auto Support Resistance V2.0
🧭 Overview
MoneyPlant – Auto Support Resistance is a professional-grade indicator designed to automatically detect dynamic Support and Resistance levels using real-time market structure.
It combines trend confirmation, structure analysis, and momentum logic to identify high-probability trading zones in all market conditions.
⚙️ Core Concept
This indicator uses a unique combination of classic and proprietary logic to filter only the most relevant S/R levels:
• Dynamic Support/Resistance Mapping: Detects strong reaction levels based on price structure, candle rejection points, and breakout validation.
• EMA & WMA Trend Filter: Uses a triple-moving-average model (default EMA 18, EMA 25, and WMA 7) to confirm current market bias.
• MACD Momentum Filter: Confirms trend strength and helps avoid false breakouts.
• Smart Alignment Logic: Generates signals only when structure, trend, and momentum all align in the same direction.
🧠 How It Works
1. Buy Setup:
When price breaks above a resistance level with bullish EMA/WMA alignment and positive MACD momentum → Buy Signal triggers.
2. Sell Setup:
When price breaks below a support level with bearish EMA/WMA alignment and negative MACD momentum → Sell Signal triggers.
3. Auto-Refreshing Zones:
Support and Resistance zones update dynamically as market structure evolves.
🎯 Best Use Cases
• Works effectively on Stocks, Indices, Forex, and Commodities (e.g., XAUUSD, NIFTY, BANKNIFTY ).
• Ideal for Intraday & Swing Trading (15 min – 1 hour timeframes).
• Fully compatible with TradingView alerts and automation tools.
💡 Key Features
✅ Automatic Support/Resistance detection
✅ Adaptive EMA + WMA + MACD trend logic
✅ Real-time Buy/Sell alerts
✅ Multi-timeframe compatibility
✅ Optimized for clean chart visuals
⚖️ Recommended Settings
• EMA Fast: 18
• EMA Slow: 25
• WMA Filter: 7
• MACD: Default parameters
(Users may adjust EMA/WMA settings according to their own trading style.)
🔒 How to Get Access
To get access to this invite-only script, please send me a private message on TradingView or use the link in my profile.
Once your username is added via Manage Access, you’ll be able to use the indicator.
🧾 Notes for Traders
This tool does not repaint, and it’s meant for educational and analytical purposes only.
Each license is valid for one TradingView username — no resale or redistribution is permitted.
Developed by MoneyPlant
Smart Automation for Professional Traders
AMF PG Consensus Engine v3.5AMF PG Consensus Engine v3.5
1. Core Philosophy: A Multi-Stage Confirmation System for High-Probability Signals
In the world of automated trading, the real challenge isn't generating signals, but filtering out the noise. The AMF PG Consensus Engine is designed to address this challenge. It operates on a simple yet powerful philosophy: a buy or sell signal is valid only if it receives confirmation from multiple, independent analysis modules.
This strategy isn't a "black box." It's a transparent, rules-based framework that transforms market momentum and momentum into a final consensus and then directs a core trend-following engine. The goal is to avoid trading in adverse market conditions and only act when the different analysis layers agree.
2. How the Consensus Engine Works: Two Confirmation Layers
Before the core engine is allowed to seek a trade, the market must go through a two-stage "confirmation" process. Both filters can be enabled or disabled from the settings, allowing users to customize the strategy's stringency level.
Confirmation Module 1: Renko Regime Filter
This module's purpose is to answer a critical question: "Is the market currently in a stable, directional trend, or is it volatile and unstable?" Instead of standard indicators, it creates a timeless Renko chart in the background. A trend is confirmed only if a minimum number of consecutive Renko bricks form in the same direction. This method is extremely effective at filtering out noisy, sideways price movements, which are often unsuccessful for trend-following systems. The brick size can be set to a fixed value or automatically calculated based on the Average True Range (ATR) for better fit.
Confirmation Module 2: Candle Scoring Engine
This module analyzes the raw strength of price action by scoring each candle individually. It evaluates the candle's direction, body size relative to the previous candle, and the change in closing price. These factors are converted into a score for each bar. A cumulative score is then calculated over a user-defined period. A buy trade is only confirmed if this cumulative momentum score exceeds a positive threshold, indicating sustained buying pressure. Conversely, a sell trade requires the score to fall below a negative threshold, indicating sustained selling pressure.
3. Core Engine: AMF PG Trend Follower
When both confirmation modules give the "green light" for a specific direction (e.g., buy), the core AMF PG (Praetorian Guard) engine is activated. This is a proprietary, volatility-sensitive trend-following mechanism.
It calculates a dynamic upper and lower band around the price. These bands are not static; their distance from the price is constantly adjusted based on recent market volatility and price expansion. A trade is initiated when the price breaks out of these bands in the direction confirmed by the consensus engine. The opposing band then serves as the initial trailing stop-loss, adjusted as the trend progresses.
4. Embedded Filters for Additional Security
To further enhance signal quality, the core engine has several embedded filters that are always active and cannot be disabled by the user:
Trend Strength Filter: To confirm that a trend has sufficient strength, a trade will not be initiated unless the ADX (Average Directional Index) is above a certain threshold.
Sideways Market Filter: The Chop Index is used to prevent trading in extremely sideways and directionless markets.
5. Risk Management: Maximum Drawdown Protection
A key feature of this strategy is its built-in capital protection mechanism. Users can set a maximum capital drawdown limit of a percentage. If the strategy's capital falls by this percentage from its peak, the "DD Protect" feature is activated, closing all open positions and preventing new trades from being opened. This acts as a final emergency brake to protect capital during unpredictable market conditions or underperformance of the strategy.
6. Automation-Ready: Customizable Webhook Alerts
This strategy was developed for modern investors looking to automate their trading. Instead of generic alert messages, you can define your own custom alert text directly from the script's settings.
This feature is particularly powerful for connecting to third-party automation services via Webhooks. You can configure the alert message in the JSON format required by your service (such as {"action": "buy", "symbol": "{{ticker}}"}). This allows you to seamlessly connect your strategy signals directly to your trading account.
7. Strategy Backtest Information
Please remember that past performance is not indicative of future results. The published chart and performance report were generated on the 4-hour timeframe of the BTC/USD pair with the following settings:
Test Period: January 1, 2016 - October 31, 2025
Default Position Size: 15% of Capital
Pyramiding: Closed
Commission: 0.0008
Slippage: 2 ticks (Please enter the slippage you used in your own tests)
Testing Approach: The published test includes 799 trades and is statistically significant. It is strongly recommended that you test on different assets and timeframes for your own analysis. The default settings are a template and should be adjusted by the user for their own analysis.
Maxtra Reversal Range Breakout StrategyReversal Range Breakout Strategy
This strategy uses the first candle as a directional filter. If the first candle is green, it anticipates a potential reversal and takes sell trades only. If the first candle is red, it looks for buy opportunities. The logic is to trade against the initial move, expecting a reversal after the early breakout or momentum spike.
Maxtra Range Breakout StrategyRange Breakout Strategy
This strategy identifies periods of price consolidation (range) and enters trades when the price breaks above or below the defined range. A breakout above the range signals a potential uptrend (buy), while a breakout below indicates a potential downtrend (sell). It helps capture strong directional moves following low-volatility phases.
BUY LOW, BUY MORE, SELL HIGH - MARKET FLOW STRATEGY-JTM────────────────────────────────────────────────────────
BUY LOW, BUY MORE, SELL HIGH – MARKET FLOW STRATEGY (v594) – JTM
────────────────────────────────────────────────────────
Category: Quantitative Momentum & Liquidity Flow Strategy
Author: JTM
────────────────────────────────────────────────────────
An Adaptive Contrarian live trading strategy that scales into deep pullbacks,
rides liquidity waves, and locks profit automatically, using your TradersPost.io webhook.
────────────────────────────────────────────────────────
DESCRIPTION
────────────────────────────────────────────────────────
The "Buy Low, Buy More, Sell High" strategy combines value-based accumulation
with adaptive profit protection. It adds exposure on weakness (new lower lows
and confirmed liquidity support) and closes trades dynamically once a profitable
run-up retraces by a set percentage (default 13%).
It reconstructs multi-timeframe market structure
(Intraday → Daily → Weekly → Monthly → Yearly)
using synthetic OHLCs to avoid repainting, and integrates VWAP anchoring,
adaptive KAMA smoothing, RSI validation, and rolling lower-low tracking.
Contrarian strategies are difficult for the human to be easily comfortable with...
because but the results can be worth the wait. Believe that you truly want to Sell when everyone is buying and buy when everyone is almost done selling. Not vice-versa!
Forget about trying to time the market at the true top or the true bottom - just ride
the rolling waves and the profits will come ashore.
────────────────────────────────────────────────────────
CORE FEATURES
────────────────────────────────────────────────────────
• Non-repainting by design – only confirmed bars update persistent state
• Synthetic HTF OHLC construction avoids lookahead bias
• Adaptive trailing TakeProfit logic aims for (80–87% of peak profit retained)
• AI-like market flow dashboard with Bull/Bear liquidity dominance
• Dynamic rolling "Lowest Low" (LLL) detection and visualization
• Modular time detection and session alignment (New York market default)
• Optional Liquidity Dashboard with intraday/swing dual-mode analytics
1. Non-Repainting Architecture - Long side strategy. Not coded for short selling.
2. Works best on a 1hr/60m intraday chart with a 3hr higher Timeframe (strategy input)
3. Immediately Uncheck Show Trade Signals in the Strategy's Style Settings to eliminate
onscreen clutter
4. Market Liquidity Dashboard can be displayed by setting in the strategy's inputs.
5. You set a price range of stocks you wish to allow to trade when using an alert list.
6. You can set a preview period where gray TV trades alerts to Traderspost are withheld.
7. If you check "Do not LIVE sell any assets today" and update the alert, no Traderspost
8. As well as the Market Flow Dashboard, you can display a table of HLs, and LLs.
Trending stocks will display HLs and Vice Versa.
9. You can switch away from Big Rolling Waves Mode (default) to Intraday Short Moves mode
10. Default Big Wave Rolling Cycle is 120 bars (Recommended) 30,60,90,120 are typical.
(this affects the strategy profitability and choice of entry and exits).
11. Reference to FIFO is about the array size for the stored non-repainting HLs and LLs
12. Option to execute trades on unconfirmed bar is BETA. The strategy Only trades on
confirmed bars always, but I am wanting/hoping to eventually Take Profit on a
BIG ASS institutional candle, morning session bar when they occur.
(a new bar is unconfirmed, building, and tricky to code without
breaking the strategy's reliability). Use at your own risk.
────────────────────────────────────────────────────────
Technical Highlights
────────────────────────────────────────────────────────
• AI-inspired “Flow Confidence” through liquidity imbalance between Bull and Bear pressure.
• Adaptive KAMA smoothing for non-lag confirmation.
• Dynamic trailing take-profit computed as 80–87% of the highest profitable run-up.
• Non-repainting multi-timeframe framework (daily–weekly–monthly aggregation).
• LLL Table module for Lowest-Low progression and trend exhaustion.
• Market Flow Dashboard visualizing rolling liquidity dominance and delta pressure.
• Session-aware logic for intraday vs. swing operation.
• All logic has been tuned to peak performance that satisfies the TradingView Profiler.
• Strategy Buys again at a lower price instead of selling and taking a loss. Drawdown Peaks!
but this requires you configure TradingView Strategy Pyramiding orders to 2 or more
and % of equity.
(definitely is more $$ risky, potentially more profitable and might beat Buy and Hold profits)
See the chart above.
────────────────────────────────────────────────────────
WHY IT DOES NOT REPAINT (even thought the TradingView alert message says it might.)
────────────────────────────────────────────────────────
1. All trade, table, and OHLC updates occur only on `barstate.isconfirmed`
2. Synthetic HTFs are self-built without `lookahead` or future data
3. All arrays use `var` persistence to freeze past state
4. Trailing TakeProfit peak updates only on confirmed highs
5. No forward-referencing of real-time partial bars
────────────────────────────────────────────────────────
LIMITATIONS
────────────────────────────────────────────────────────
1. Heavy computation on long intraday histories (optimize `max_bars_back`)
2. Requires intraday chart resolution (1m–4h)
3. U.S. session defaults (09:30–16:00 ET); adjust for other exchanges
4. Arrays and tables consume memory – disable extra visuals if unneeded
5. Not for use with Crypto, Forex, or Futures.
6. Only to be used with Stocks/Tickers having volume data.
7. Live trading is coded for a TradersPost.io Webhook and a brokerage account. (IBKR)
────────────────────────────────────────────────────────
WARNINGS
────────────────────────────────────────────────────────
1. This is an Adaptive and Contrarian Trading strategy that scales into DEEP pullbacks,
rides long liquidity waves, and locks profit automatically.
2. Trades can have a long duration but are minimal. This is not a strategy that will
generate thousands of trades. It will save you on commissions to.
3. It does its best to limit losses and but I cannot guarantee it will work for
all assets, all the time. Market conditions vary. Tickers vary.
4. Use it with assets that you trust not to race to zero dollars.
5. Use this strategy with healthy tickers that have medium to high volatility.
6. To eliminate onscreen clutter, uncheck strategy settings/style/trade signals.
7. I use this strategy exclusively. TradingView alerts run for me 24/7 and ROBO trade.
but you should vet the system with manual trades signals it generates for yourself.
8. It does not prevent you from losing profits in after hours trading and Market News.
9. The BIG ASS new bar of opening candle is Not calculated into the stats until it is confirmed. Especially bothersome for me when its a big 10% down candle. You still need to watch the first 9:30 candle with your eyes. I recommend you watch liquidity at Open using a 1m timeframe.
10. This is a pro-grade coded strategy but is NOT a “Wall Street Quant grade.” strategy.
Institutions rely on:
• slippage models
• depth-of-book impact modeling
• latency simulation
• volume-weighted fills
• partial fills & queue priority
• order slicing (TWAP, VWAP, POV)
Pine Script cannot simulate the above.
11. This Pine Script strategy is market-internal (chart & volume) and for personal-use only. The code remains private to me.
12. To the full-time traders — my respect.
I live in the world of code, not charts, scalps, candles and screens,
so I engineered this 2500-line strategy to trade for me with un-emotional discipline, as you do.
If this strategy resonates with you, I provide it for you to use in the TradingView spirit of community. Backtested results are hypothetical and not indicative of future performance.
Nothing here constitutes investment advice.
Trading involves risk, and users must assume full responsibility for their trading decisions.
Remember, its not about making 'all' the money a stock theoretically could return as if you did a buy and hold many years ago - its about making good money as you navigate the waves of the stormy seas, and not sinking. It about making better trade decisions compared to the persons you are trading against. Have fun all the while making your money - work for you.
────────────────────────────────────────────────────────
“Be fearful when others are greedy, and be greedy when others are fearful.”
— Warren E. Buffett
“The stock market is a device for transferring money from the impatient to the patient.”
— Warren E. Buffett
True wealth grows through time, not reaction. A person sits in the shade today because
of a tree that somebody planted years ago.
— Warren E. Buffett
Happy Trading!
Aurora Vigor 2.2 — Night Vision Edition🧠 Aurora Vigor 2.2 — Night Vision Edition ⚡
Aurora Vigor is a precision-engineered intra-day trading strategy built for futures and prop-firm evaluations.
It blends adaptive moving averages, volatility-adjusted risk control, and session-based logic to capture structured micro-trend moves with disciplined execution.
⚙️ Core Concepts
Dual adaptive moving-average framework (KAMA + EMA) identifies short-term trend alignment.
ATR-based dynamic stop and position sizing maintain consistent risk per trade.
Smart breakeven and progressive trailing secure profit automatically.
Session lock (8 AM–4 PM ET) filters out low-liquidity periods.
Daily profit/loss guardrails stop new entries beyond preset limits.
📊 Recommended Settings
Timeframe : 1 – 5 minutes
Markets : NQ | ES | MNQ | MES | MGC | MCL
Risk per trade : $10 (default)
ATR Multiplier : 0.5
Take Profit : 12 ticks
🌫️ Visual Design
The Aurora Cloud dynamically shifts brightness with volatility—subtle in chop, vivid in momentum—creating a professional, low-glare “night-vision” chart aesthetic.
⚠️ Disclaimer
For educational and research purposes only.
No guarantee of profit or future performance. Always test thoroughly before live use.
Author’s Note: Built for disciplined traders who value structure, consistency, and precision in execution.
ORBSMMAATRVOLREENTRY2Contracts📈 Opening Range Fibonacci Breakout (TradingView Strategy)
Overview:
The Opening Range Fibonacci Breakout strategy is designed to capture high-probability intraday moves by combining the power of the 15-minute opening range, trend confirmation via SMMA, and volume-based momentum filtering.
At the start of each trading session, the script automatically plots the Opening Range Box based on the first 15 minutes of price action — highlighting key intraday support and resistance levels.
How It Works:
Opening Range Setup
The first 15 minutes of the session define the range high and low.
A visual box marks this zone on the chart for easy reference.
Signal Generation
A Smoothed Moving Average (SMMA) with a user-defined period determines overall trend bias.
Candle volume is analyzed to confirm momentum strength.
Long Signal: Price breaks above the opening range high, SMMA trending up, and volume supports the move.
Short Signal: Price breaks below the opening range low, SMMA trending down, and volume supports the move.
Take Profit & Targets
Fibonacci extension levels are automatically plotted from the opening range.
These dynamic levels serve as structured Take Profit (TP) zones for partial or full exits.
Features:
✅ 15-Minute Opening Range Box
✅ Adjustable SMMA period
✅ Volume-based confirmation filter
✅ Automatic Fibonacci profit targets
✅ Visual Long/Short alerts & signals
Ideal For:
Scalpers and intraday traders who rely on early-session momentum, breakout confirmation, and precision exit targets.
Backtested for MNQ/NQ futures trading
BH BTC LS Atopetrader Bitcoin 15M Advanced Trading Strategy
This strategy is designed to trade Bitcoin on the 15-minute timeframe for long and short positions. It uses an advanced system adapted to price action, combined with automated risk management through stop loss and take profit. It is optimized to adapt to the high volatility and speculative nature of BTC, seeking out trend-driven momentum opportunities and avoiding low-probability periods detected through historical analysis.
Timeframe Compatibility
While the strategy is specifically adapted and optimized for the 15-minute timeframe (15M), it has been engineered to perform across multiple timeframes ranging from 5-minute to 4-hour intervals. This multi-timeframe versatility allows traders to adjust the strategy parameters according to their preferred trading style and market conditions.
This adaptability across different timeframes significantly enhances the strategy's robustness, making it more resilient to varying market regimes and reducing over-optimization to a single timeframe. By testing and validating across 5-minute to 4-hour intervals, the strategy demonstrates consistent edge across diverse trading environments, which strengthens confidence in its performance across broader market conditions.
Cross-Asset Testing
Beyond Bitcoin, this strategy could be tested and adapted for trading other cryptocurrencies, making it a flexible framework for exploring momentum-based opportunities across different digital assets with varying volatility profiles.
Performance Summary
This strategy has significantly outperformed a simple buy-and-hold approach over the 6-year backtest period. Here are the standout metrics:
Total P&L: +$41,277.80 USDT (+2,063.89%)
Net Profit: +$41,277.80 USDT with only 18.35% max drawdown
Total Trades: 2,169 with 44.63% win rate
Profit Factor: 2.17x (strong edge)
Key Advantage Over Buy & Hold
The Buy & Hold return was +$16,576.63 USDT (+828.83%), meaning this strategy more than doubled Buy & Hold returns over the same period. The active trading approach consistently captured momentum while the 2.17x profit factor demonstrates edge-based entries.
Commission Structure: A 0.1% commission per trade has been factored into the backtesting analysis, which is more than sufficient to cover typical exchange trading fees on major platforms. This conservative fee structure ensures the reported results account for real-world trading costs while still demonstrating substantial profitability.
Important Disclaimer
This strategy does not guarantee future profits and should be used after testing and analyzing in a simulated environment. A disciplined approach and appropriate risk management are recommended for the cryptocurrency market. Past performance is not indicative of future results, and actual trading may differ from backtested scenarios due to market slippage, liquidity conditions, and changing market dynamics.
Gold H1 Breakout Failure (V11.0)This strategy is designed for trading XAU/USD (Gold) on the 1-hour timeframe. It identifies and trades fake breakouts of the Asian session range.
The logic is simple yet effective:
The script first marks the Asian session high and low.
Once price breaks out of this range and closes outside, it waits for confirmation by watching for price to close back inside the range.
When this re-entry occurs, the strategy takes a position in the opposite direction of the initial breakout, anticipating a false breakout or liquidity trap setup.
By focusing on these fakeouts, the strategy aims to capture reversal momentum after liquidity sweeps, making it especially effective during sessions when volatility transitions from Asia to London or New York.
XAUUSD 9-Grid Scalper (9-levels, 3pt TP)📈 Overview
The XAUUSD 9-Grid Scalper is a precision-based intraday strategy designed for gold scalping around key 9-based price zones. Gold (XAUUSD) often reacts strongly to levels that are multiples of 9, and this script builds a dynamic grid of 18 levels around the current price to capture short-term momentum moves.
This strategy uses 9-point take profits (TP) and configurable stop-loss levels, allowing for fast in-and-out scalps within volatile gold sessions. It’s optimized for short-term traders who focus on 1M–5M charts.
⚙️ Core Logic
Dynamic 9-Multiples Grid: Automatically plots 18 nearby levels spaced by multiples of 9.
Entry Signals:
Long when price breaks above a 9-level.
Short when price breaks below a 9-level.
Take Profit: Fixed at 9 points (configurable).
Stop Loss: Adjustable for flexible risk management.
Backtest-Ready: Uses strategy() for full performance analytics (win rate, profit factor, drawdown).
💡 Best Use Cases
Ideal for gold scalpers during London and New York sessions.
Works best on 1M–5M timeframes with high volatility.
Combine with volume or trend filters (e.g., RSI, MA slope) for improved accuracy.
🧠 Customization Options
Number of grid levels (default: 18)
Take profit & stop loss distance (default: 9pt TP)
Display toggle for 9-grid visualization
Optional filters for session time or volatility
⚠️ Disclaimer
This strategy is for educational and research purposes only.
Past performance does not guarantee future results. Always test on demo before trading live.
PriceAction & Economic StrategyThis indicator combines price-action logic with macroeconomic data to generate trading signals.
Features:
- Price-action signals: A bullish signal occurs when a candle closes above its open; a bearish signal occurs when a candle closes below its open.
- Signal gap: The indicator includes an input called "Signal Gap (bars)" that defines the minimum number of bars between signals. By default the gap is set to 3, but you can adjust this between 1 and 10 to control signal frequency.
- Alerts: The script defines alert conditions for long and short signals, allowing you to create TradingView alerts that notify you when a new signal occurs.
- Economic data: The script uses TradingView's built-in `request.economic()` function to request U.S. GDP data. The GDP series is plotted in the Data Window for additional macroeconomic context.
How to use:
1. Add the indicator to a chart.
2. Open the indicator's settings and adjust the "Signal Gap (bars)" input to set the minimum bar gap between signals.
3. Look for green triangles plotted below the bars (bullish signals) and red triangles plotted above the bars (bearish signals). These appear only when the gap criterion is met.
4. If you want alerts, click the Alert button in TradingView, select this indicator, and choose either the Long or Short alert conditions.
5. To view the GDP data, open the Data Window; the GDP value will be shown alongside other series for each bar.
6. Use these signals in combination with your own analysis; this indicator is for educational purposes and does not constitute financial advice.
【MasterHSC】CCI Mean Derivative Smart Strategy🧾 Strategy Description (English)
CCI Mean Slope Smart Strategy
This strategy is built on the derivative slope behavior of the Commodity Channel Index (CCI) mean line.
It identifies key turning points or trend continuations based on how the smoothed CCI (mean value) changes direction after reaching overbought or oversold zones.
Core Idea:
When the CCI mean reverses slope after exceeding ±100, it signals a potential mean reversion (range-trading opportunity).
When the CCI mean remains above +100 or below −100 with a consistent slope, it indicates a strong trending phase (momentum continuation).
The strategy dynamically adapts between these two behaviors depending on market conditions.
Modes:
🌀 Range Reversal Mode — Focuses on slope reversals after overbought/oversold conditions.
🚀 Trend Following Mode — Captures strong momentum when the CCI mean stays extended.
🧠 Auto Mode — Automatically switches between Range and Trend logic based on CCI mean volatility.
Key Features:
Dual-direction toggle: Enable or disable long/short entries independently.
Adjustable tolerance: Choose fixed or dynamic thresholds for flexibility.
Automatic mode label and visual buy/sell markers on the chart.
Pure CCI-based system — no external filters or indicators required.
Purpose:
This system is designed to reduce false signals in sideways markets while preventing missed opportunities during strong directional trends, offering a clean balance between precision and adaptability.
RSI potente 2.0rsi mas refinado e indicadores correctos a corto ,mediano y largo plazo .. el mejor indicador
SigmaRevert: Z-Score Adaptive Mean Reversion [KedArc Quant]🔍 Overview
SigmaRevert is a clean, research-driven mean-reversion framework built on Z-Score deviation — a statistical measure of how far the current price diverges from its dynamic mean.
When price stretches too far from equilibrium (the mean), SigmaRevert identifies the statistical “sigma distance” and seeks reversion trades back toward it. Designed primarily for 5-minute intraday use, SigmaRevert automatically adapts to volatility via ATR-based scaling, optional higher-timeframe trend filters, and cooldown logic for controlled frequency
🧠 What “Sigma” Means Here
In statistics, σ (sigma) represents standard deviation, the measure of dispersion or variability.
SigmaRevert uses this concept directly:
Each bar’s price deviation from the mean is expressed as a Z-Score — the number of sigmas away from the mean.
When Z > 1.5, the price is statistically “over-extended”; when it returns toward 0, it reverts to the mean.
In short:
Sigma = Standard deviation distance
SigmaRevert = Trading the reversion of extreme sigma deviations
💡 Why Traders Use SigmaRevert
Quant-based clarity: removes emotion by relying on statistical extremes.
Volatility-adaptive: automatically adjusts to changing market noise.
Low drawdown: filters avoid over-exposure during strong trends.
Multi-market ready: works across stocks, indices, and crypto with parameter tuning.
Modular design: every component can be toggled without breaking the core logic.
🧩 Why This Is NOT a Mash-Up
Unlike “mash-up” scripts that randomly combine indicators, this strategy is built around one cohesive hypothesis:
“Price deviations from a statistically stable mean (Z-Score) tend to revert.”
Every module — ATR scaling, cooldown, HTF trend gating, exits — reinforces that single hypothesis rather than mixing unrelated systems (like RSI + MACD + EMA).
The structure is minimal yet expandable, maintaining research integrity and transparency.
⚙️ Input Configuration (Simplified Table)
Core
`maLen` 120 Lookback for mean (SMA)
`zLen` 60 Window for Z-score deviation
`zEntry` 1.5 Entry when Z exceeds threshold
`zExit` 0.3 Exit when Z normalizes
Filters (optional)
`useReCross` false Requires re-entry confirmation
`useTrend` false / true Enables HTF SMA bias
`htfTF` “60” HTF timeframe (e.g. 60-min)
`useATRDist` false Demands min distance from mean
`atrK` 1.0 ATR distance multiplier
`useCooldown` false / true Forces rest after exit
Risk
`useATRSL` false / true Adaptive stop-loss via ATR
`atrLen` 14 ATR lookback
`atrX` 1.4 ATR multiplier for stop
Session
`useSession` false Restrict to market hours
`sess` “0915-1530” NSE timing
`skipOpenBars` 0–3 Avoid early volatility
UI
`showBands` true Displays ±1σ & ±2σ
`showMarks` true Shows triggers and exits
🎯 Entry & Exit Logic
Long Entry
Trigger: `Z < -zEntry`
Optional re-cross: prior Z < −zEntry, current Z −zEntry
Optional trend bias: current close above HTF SMA
Optional ATR filter: distance from mean ATR × K
Short Entry
Trigger: `Z +zEntry`
Optional re-cross: prior Z +zEntry, current Z < +zEntry
Optional trend bias: current close below HTF SMA
Optional ATR filter: distance from mean ATR × K
Exit Conditions
Primary exit: `Z < zExit` (price normalized)
Time stop: `bars since entry timeStop`
Optional ATR stop-loss: ±ATR × multiplier
Optional cooldown: no new trade for X bars after exit
🕒 When to Use
Intraday (5m)
`maLen=120`, `zEntry=1.5`, `zExit=0.3`, `useTrend=false`, `cooldownBars=6` Capture intraday oscillations Minutes → hours
Swing (30m–1H)
`maLen=200`, `zEntry=1.8`, `zExit=0.4`, `useTrend=true`, `htfTF="D"` Mean-reversion between daily pivots 1–2 days
Positional (4H–1D)
`maLen=300`, `zEntry=2.0`, `zExit=0.5`, `useTrend=true` Capture multi-day mean reversions Days → weeks
📘 Glossary
Z-Score
Statistical measure of how far current price deviates from its mean, normalized by standard deviation.
Mean Reversion
The tendency of price to return to its average after temporary divergence.
ATR
Average True Range — measures volatility and defines adaptive stop distances.
Re-Cross
Secondary signal confirming reversal after an extreme.
HTF
Higher Timeframe — provides macro trend bias (e.g. 1-hour or daily).
Cooldown
Minimum bars to wait before re-entering after a trade closes.
❓ FAQ
Q1: Why are there no trades sometimes?
➡ Check that all filters are off. If still no trades, Z-scores might not breach the thresholds. Lower `zEntry` (1.2–1.4) to increase frequency.
Q2: Why does it sometimes fade breakouts?
➡ Mean reversion assumes overextension — disable it during strong trending days or use the HTF filter.
Q3: Can I use this for Forex or Crypto?
➡ Yes — but adjust session filters (`useSession=false`) and increase `maLen` for smoother means.
Q4: Why is profit factor so high but small overall gain?
➡ Because this script focuses on capital efficiency — low drawdown and steady scaling. Increase position size once stable.
Q5: Can I automate this on broker integration?
➡ Yes — the strategy uses standard `strategy.entry` and `strategy.exit` calls, compatible with TradingView webhooks.
🧭 How It Helps Traders
This strategy gives:
Discipline: no impulsive trades — strict statistical rules.
Consistency: removes emotional bias; same logic applies every bar.
Scalability: works across instruments and timeframes.
Transparency: all signals are derived from visible Z-Score math.
It’s ideal for quant-inclined discretionary traders who want rule-based entries but maintain human judgment for context (earnings days, macro news, etc.).
🧱 Final Notes
Best used on liquid stocks with continuous price movement.
Avoid illiquid or gap-heavy tickers.
Validate parameters per instrument — Z behavior differs between equities and indices.
Remember: Mean reversion works best in range-bound volatility, not during explosive breakouts.
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
💻 RSI Dual-Band Reversal Strategy (Hacker Mode)This 💻 RSI Dual-Band Reversal Strategy (Hacker Mode) is a mean-reversion trading strategy built on the Relative Strength Index (RSI) indicator.
It identifies potential trend reversals when price momentum reaches extreme overbought or oversold levels — then enters trades expecting the price to revert.
⚙️ Strategy Concept
The RSI measures market momentum on a scale of 0–100.
When RSI is too low, it signals an oversold market → potential buy.
When RSI is too high, it signals an overbought market → potential sell.
This strategy sets two reversal zones using dual RSI bands:
Zone RSI Range Meaning Action
Upper Band 80–90 Overbought Prepare to Sell
Lower Band 10–20 Oversold Prepare to Buy
🧩 Code Breakdown
1. Input Parameters
rsiLength = input.int(14)
upperBandHigh = input.float(90.0)
upperBandLow = input.float(80.0)
lowerBandLow = input.float(10.0)
lowerBandHigh = input.float(20.0)
You can adjust:
RSI Length (default 14) → sensitivity of the RSI.
Upper/Lower Bands → control when buy/sell triggers occur.
2. RSI Calculation
rsi = ta.rsi(close, rsiLength)
Calculates the RSI of the closing price over 14 periods.
3. Signal Logic
buySignal = ta.crossover(rsi, lowerBandHigh)
sellSignal = ta.crossunder(rsi, upperBandLow)
Buy Signal: RSI crosses up through 20 → market rebounding from oversold.
Sell Signal: RSI crosses down through 80 → market turning from overbought.
4. Plotting
RSI line (lime green)
Bands:
🔴 80–90 (Sell Zone)
🟢 10–20 (Buy Zone)
Gray midline at 50 for reference.
Triangle markers for signals:
🟢 “BUY” below chart
🔴 “SELL” above chart
5. Trading Logic
if (buySignal)
strategy.entry("Buy", strategy.long)
if (sellSignal)
strategy.entry("Sell", CRYPTO:BTCUSD strategy.short OANDA:XAUUSD )
Opens a long position on a buy signal.
Opens a short position on a sell signal.
No explicit stop loss or take profit — positions reverse when an opposite signal appears.
🧠 How It Works (Step-by-Step Example)
RSI drops below 20 → oversold → buy signal triggers.
RSI rises toward 80 → overbought → sell signal triggers.
Strategy flips position, always staying in the market (either long or short).
📈 Visual Summary
Imagine the RSI line oscillating between 0 and 100:
100 ────────────────────────────────
90 ───── Upper Band High (Sell Limit)
80 ───── Upper Band Low (Sell Trigger)
50 ───── Midline
20 ───── Lower Band High (Buy Trigger)
10 ───── Lower Band Low (Buy Limit)
0 ────────────────────────────────
When RSI moves above 80 → SELL
When RSI moves below 20 → BUY
⚡ Strategy Profile
Category Description
Type Mean Reversion
Entry Rule RSI crosses up 20 → Buy
Exit/Reverse Rule RSI crosses down 80 → Sell
Strengths Simple, effective in sideways/range markets, minimal lag
Weaknesses Weak in strong trends, no stop-loss or take-profit logic
💡 Suggested Improvements
You can enhance this script by adding:
Stop loss & take profit levels (e.g., % or ATR-based).
Trend filter (e.g., trade only in direction of 200 EMA).
RSI smoothing to reduce noise.
NLR-ADX Divergence Strategy Triple-ConfirmedHow it works
Builds a cleaner DMI/ADX
Recomputes classic +DI, −DI, ADX over a user-set length.
Then “non-linear regresses” each series toward a mean (your choice: dynamic EMA of the series or a fixed Static Mid like 50).
The further a value is from the mean, the stronger the pull (controlled by alphaMin/alphaMax and the γ exponent), giving smoother, more stable DI/ADX lines with less whipsaw.
Optional EMA smoothing on top of that.
Lock in values at confirmed pivots
Uses price pivots (left/right bars) to confirm swing lows and highs.
When a pivot confirms, the script captures (“freezes”) the current +DI, −DI, and ADX values at that bar and stores them. This avoids later drift from smoothing/EMAs.
Check for triple divergence
For a bullish setup (potential long):
Price makes a Lower Low vs. a prior pivot low,
+DI is higher than before (bulls quietly stronger),
−DI is lower (bears weakening),
ADX is lower (trend fatigue).
For a bearish setup (potential short)
Price makes a Higher High,
+DI is lower, −DI is higher,
ADX is lower.
Adds a “no-intersection” sanity check: between the two pivots, the live series shouldn’t snake across the straight line connecting endpoints. This filters messy, low-quality structures.
Trade logic
On a valid triple-confirm, places a strategy.entry (Long for bullish, Short for bearish) and optionally labels the bar (BUY or SELL with +DI/−DI/ADX arrows).
Simple flip behavior: if you’re long and a new short signal prints (or vice versa), it closes the open side and flips.
Key inputs you can tweak
Custom DMI Settings
DMI Length — base length for DI/ADX.
Non-Linear Regression Model
Mean Reference — EMA(series) (dynamic) or Static mid (e.g., 50).
Dynamic Mean Length & Deviation Scale Length — govern the mean and scale used for regression.
Min/Max Regression & Non-Linearity Exponent (γ) — how strongly values are pulled toward the mean (stronger when far away).
Divergence Engine
Pivot Left/Right Bars — how strict the swing confirmation is (larger = more confirmation, more delay).
Min Bars Between Pivots — avoids comparing “near-duplicate” swings.
Max Historical Pivots to Store — memory cap.
