High Breakout PRO - Huy Hoang Trader
# High Breakout PRO - Huy Hoang Trader - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
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*Developed by Antigravity. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
Volatility
Ross GPT - Momentum Scalp 1mThis strategy is a long-only momentum scalping system designed for the 1-minute timeframe, combining VWAP, EMA trend alignment, MACD momentum, volume confirmation, and session filtering to identify high-probability intraday entries for pre-market session and U.S small cap stocks with high % change compared to previous day. Apply only for stock price between $2-$20.
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1️⃣ Date Range Filter
The strategy trades only within a user-defined date range.
• Default range: Feb 1, 2026 – Dec 31, 2069
• Trades are ignored outside this period
• Useful for controlled backtesting and forward testing
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2️⃣ Indicators Used
VWAP
• Used as a trend and mean-reversion filter
• Only long trades are allowed when price is above VWAP
MACD (12, 26, 9)
• Momentum confirmation
• Entry requires MACD line > Signal line
• Exit is triggered if MACD crosses below Signal
Exponential Moving Averages
• EMA 9
• EMA 20
• EMA 50
• EMA 200 (visual reference)
Trend Bias Requirement
• Bullish alignment:
• EMA 9 > EMA 20 > EMA 50
Volume Strength (Price Action Proxy)
• Counts bullish candles over the last 5 bars
• Entry requires at least 3 green candles
• Used as a confirmation of buying pressure
⸻
3️⃣ Session Filter
Trades are allowed only during a specific intraday session:
• 06:59 – 09:00 (exchange time)
• Designed to focus on high-liquidity morning momentum
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4️⃣ Entry Conditions (Long Only)
A buy signal is generated when all of the following are true:
• Price is above VWAP
• MACD line is above Signal line
• EMA alignment confirms bullish trend
• Bullish candle count condition is met
• Current bar is within the allowed session
• Current bar is within the selected date range
• No existing open position
Only one position at a time is allowed.
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5️⃣ Trade Execution
• Market entry when all conditions align
• Fixed position sizing (default: 500 units)
• Commission and slippage are included for realism
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6️⃣ Exit Logic
Primary Exit (Bracket Order)
• Take Profit: +0.25
• Stop Loss: -0.10
• Managed using strategy.exit for intra-bar accuracy
Indicator-Based Exit
• If MACD crosses below the Signal line, the position is closed immediately at market
This dual exit system allows both quick scalps and early momentum failure exits.
⸻
7️⃣ Visual Aids
The strategy plots all key indicators used in decision-making:
• EMA 9, 20, 50, 200
• VWAP
This allows easy visual verification of entries and exits directly on the chart.
⸻
⚠️ Notes
• Designed for scalping and short-duration trades
• Best suited for high-liquidity instruments
• Results may vary depending on symbol, spread, and market conditions
• This script is for educational and research purposes only
High Breakout PRO Huy Hoang Trader
High Breakout PRO - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
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*Developed by Huy Hoang Trader. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
DCA + Martingale strategy.DCA + Martingale: smart synergy for volatile markets
Tame market swings with a powerful hybrid strategy that marries the discipline of Dollar‑Cost Averaging (DCA) with the aggressive recovery logic of the Martingale system. This approach turns price dips into opportunities — systematically building positions while keeping risk in check.
How it works:
1. Entry trigger
The strategy activates when the asset price drops by a predefined percentage on the 1‑hour timeframe. This ensures you only engage when a meaningful pullback occurs, avoiding premature entries.
2. DCA grid for controlled averaging
Once the entry condition is met, a grid of buy orders is deployed:
Each subsequent order is placed at progressively lower price levels (e.g., every 2–5% drop).
Order sizes can be fixed or follow a progressive scale (e.g., 1x, 1.5x, 2x the initial amount).
This dilutes your average entry price, improving the breakeven point as the market corrects.
3. Martingale‑style recovery mechanism
After each unsuccessful trade (i.e., price continues falling), the next position size is increased — not necessarily doubled, but scaled according to your risk tolerance. This accelerates recovery potential when the trend reverses.
4. Take‑profit with a fixed percentage target
A simple, predefined profit target (e.g., +3–7%) is set for the entire averaged position. Once hit, all open trades close, locking in gains. This prevents over‑exposure during uncertain reversals.
Key advantages
Psychological edge: removes emotional decision‑making by automating entries and exits.
Cost optimization: lowers average entry during downtrends, improving profit potential.
Controlled aggression: Martingale logic helps recoup losses faster without infinite scaling.
Flexibility: parameters (entry %, grid spacing, position sizing, TP) are fully customizable.
Risk management essentials
Stop‑loss safeguard: a hard stop‑loss (e.g., 10–15% below the lowest grid level) prevents catastrophic drawdowns in prolonged downtrends.
Position sizing: never risk more than 1–3% of capital per grid cycle.
Market context: best suited for assets with mean‑reverting behavior and moderate volatility. Avoid strong, sustained trends.
Capital buffer: ensure sufficient reserves to withstand multiple grid levels without margin calls.
When to use it
During sideways or range‑bound markets with regular pullbacks.
On assets with historical tendency to recover from short‑term dips.
When you expect a bounce but can’t pinpoint the exact bottom.
Bottom line
DCA + Martingale isn’t a «set‑and‑forget» miracle — it’s a disciplined framework for turning volatility into opportunity. Combine it with rigorous risk rules, and you’ll navigate downtrends with precision, turning market noise into structured profit potential.
Mean-Reversion Strategy (RSI + ATR) v1
Entry: Wait for RSI(10) to cross 35 (bullish) or 65 (bearish)
Stop-loss: 2.5 times current ATR away from entry
Take-profit: 4 times current ATR away from entry
Risk: 2% of account per trade
Skip trades if price moved >5% recently or volume is below average
Risk/Reward: You risk $1 to make $1.60 (1:1.6 ratio)
That's the complete strategy. Simple, rules-based, volatility-adjusted for crypto.
AI Adaptive Trend Navigator Strategy Echo EditionAI Adaptive Trend Navigator Strategy
This is a professional long-only automated strategy optimized for Taiwan Index Futures (TX). Based on the LuxAlgo clustering framework, this version features advanced logic iteration for institutional-grade backtesting and execution.
1. Realistic Cost Modeling To ensure backtest reliability, this strategy is pre-configured with:
Slippage: 2 ticks (Approx. 400 TWD per side).
Commission: 100 TWD per side.
Total Cost: 500 TWD per side. This provides a rigorous stress test for real-world trading environments.
2. State Consistency & Logic Continuity Optimized the underlying array handling to ensure "State Persistence." This eliminates the logic gaps common in real-time script execution, ensuring that historical signals are 100% consistent with live alerts.
3. Adaptive AI Clustering Utilizes K-means clustering to dynamically select the optimal ATR factors based on current market volatility, allowing the strategy to "evolve" as market regimes shift.
🧠 開發理念:追求實戰一致性的量化策略 本策略旨在為台指期(TX)提供一套具備真實參考價值的自動化系統。
✨ Echo 版核心優化點
數據連續性迭代:修正底層邏輯,確保訊號在即時盤勢中穩定不跳斷。
真實交易成本模擬:預設 2 點滑價 與 單邊 100 TWD 手續費,單邊總成本對標 500 TWD,拒絕虛假神單,挑戰最嚴苛的回測環境。
台指期專屬參數調校:融入針對台灣市場波動特性的預設參數與過濾邏輯。
🛡️ 進階實戰過濾
空間緩衝區 (Buffer Strategy):價格需有效突破緩衝區才觸發,精準過濾盤整雜訊。
AI 信心評分系統:只有當動能穩定度達標時才會發進場訊號。
冷卻保護機制:有效抑制訊號在洗盤區間過度頻繁跳動。
⚠️ Disclaimer: Backtest results do not guarantee future performance.
Euro Day StrategyThis is a false breakout reversal strategy that fades short-term breakouts when they conflict with longer-term momentum. Here's the detailed breakdown:
Strategy Overview
Type: Counter-trend/Fade strategy disguised as breakout trading
Core Logic: Enter against immediate breakouts when longer-term momentum suggests the move is exhausted.
Strategy Classification
This is a FADE/EXHAUSTION strategy, NOT a breakout-following strategy
Enters against the immediate breakout direction
Bets on mean reversion when short-term price action diverges from longer-term momentum
Works best in ranging/choppy markets where breakouts frequently fail
Will get hurt in strong trending markets where breakouts are genuine
This strategy is designed for intraday mean-reversion trading on instruments that tend to range (likely forex or futures). It requires markets where false breakouts are common and price tends to snap back quickly.
Kevin J. Davey EURO Night StrategyEuro Night Strategy is a time‑filtered, volatility‑aware system originally built for Euro FX futures. Still, your adaptation to XAL and BTC on 1h bars makes sense because both markets show overnight drift patterns that the strategy can exploit.
Uptrend Pullback (High Winrate-ish) - RSI + EMA + ATR TrailUptrend Pullback Strategy (EMA Filter + RSI Reversal + ATR Trailing Stop)
Description
This strategy is designed for rising markets and trades long only. It uses a simple trend filter and a pullback entry:
Trend filter: An uptrend is defined when EMA(50) > EMA(200) and price is above EMA(200). Trades are allowed only under these conditions.
Entry (buy the dip): A long position is opened when RSI crosses up above a user-defined pullback level (default 40), suggesting a pullback is ending and momentum is recovering.
Exits:
Take profit: Close the position when RSI reaches an overbought level (default 70).
Risk management: A dynamic ATR-based trailing stop follows price upward to lock in gains.
Hard stop: An additional ATR-based stop acts as a safety net to limit downside risk.
Notes
Parameters (EMA lengths, RSI levels, ATR multipliers) are fully configurable.
This is a demo/reference strategy for research and optimization; results depend strongly on the symbol and timeframe.
If you want, I can also write a shorter “one-liner” description and a set of tag keywords for the publish page.
_mr_beach Liquidity Sweep + VWAP ReversalLiquidity Sweep + VWAP Reversal (Trend Filter, Session, 1 Trade per Day)
Overview
This strategy models a common institutional market behavior: liquidity is taken above the previous day’s high or below the previous day’s low, followed by a return toward fair value (VWAP) and a reversal in the direction of the prevailing trend.
Designed as a TradingView strategy for structured backtesting in the Strategy Tester.
Core Components
Liquidity Levels: Previous Day High / Previous Day Low
Fair Value Reference: VWAP
Trend Filter: EMA (default: 200)
Volatility-Based Risk: ATR
Trading Rules
Trend Filter
Long only when price closes above EMA
Short only when price closes below EMA
Liquidity Sweep
Bullish sweep: Low < Previous Day Low
Bearish sweep: High > Previous Day High
Entry Confirmation
Long: After a sweep below the Previous Day Low, price closes back above the level and above VWAP
Short: After a sweep above the Previous Day High, price closes back below the level and below VWAP
Risk Management
Stop Loss: ATR-based (slATR)
Take Profit: ATR-based (tpATR)
Automatically adapts to changing market volatility
Session & Trade Frequency
Optional session filter (default: 09:30–16:00 exchange time)
Optional one trade per day limit to reduce overtrading
Chart Elements
EMA (trend direction)
VWAP (fair value)
Previous Day High / Low (liquidity zones)
Alerts
Long setup: Liquidity sweep + VWAP reversal
Short setup: Liquidity sweep + VWAP reversal
Recommended Usage
Markets: Indices, liquid stocks, Forex majors, crypto
Timeframes: 5m, 15m
Note: Parameters such as ATR multipliers and session settings should be optimized per market
Disclaimer
This is a backtesting strategy, not financial advice.
Results depend on market conditions, timeframe, fees, and slippage.
Tags: Liquidity, VWAP, EMA, Reversal, Sweep, Smart Money, ICT, ATR, Strategy
Trade Manager + MOST RSI📌 Trade Manager + MOST RSI — Adaptive Position Management Strategy
Overview
This strategy combines the MOST‑RSI trend‑reversal model with a fully customizable position management system.
It is designed for traders who want a flexible, visual, and systematic approach to scaling into positions, managing risk, and automating exits.
The script supports both automatic entries (based on MOST‑RSI signals) and manual entries (user‑defined price levels), making it suitable for hybrid discretionary + algorithmic trading.
✨ Key Features
MOST‑RSI Entry Logic
Adaptive RSI‑based trend detection
VAR‑smoothed moving average
Automatic LONG/SHORT signal generation
Configurable sensitivity through MOST Percent, MA Type, and RSI Length
Smart Position Management
Initial order + cascading Safety Orders (SO)
Adjustable deviation, step scaling, and volume scaling
Independent LONG and SHORT deviation settings
Breakeven after N safety orders
Automatic TP placement based on average entry price
Clean Visual Structure
TP lines visible only when a position is open
NEXT SO level with dynamic labeling
Average price line with subtle styling
Transparent background zones for TP, SO, and AVG
Real‑time mini‑table showing position metrics
Manual Entry Mode
Set custom LONG/SHORT entry levels
Automatic line drawing
One‑click reset
Perfect for discretionary setups
📊 Recommended Timeframes
1H — balanced
4H — conservative
MOST‑RSI adapts well across different market conditions.
🔧 Optimization Recommendations
1. Deviation (%)
Trending markets: 4–7%
Ranging markets: 2–3%
Optimize LONG and SHORT separately
2. Safety Order Volume Scale
Typical range: 1.3–1.6
Higher = faster averaging, higher risk
3. Safety Order Step Scale
1.4–1.7 for safer spacing
1.1–1.3 for tighter spacing
4. Take‑Profit
Volatile assets: 2–5%
Stable assets: 1.5–2%
5. Risk Management
Max SO: 5–10 depending on volatility
More SO = safer but more capital required
6. MOST‑RSI Parameters
RSI Length: 14
MA Length: 5
MOST Percent: 7–12%
7. Backtesting
Use at least 1 year of data
Include high‑volatility periods
8. Drawdown Control
If drawdown is too high:
Lower SO volume scale
Reduce max SO
Increase SO step scale
📌 Disclaimer
This script does not guarantee profits and is not financial advice.
Always test strategies on historical data and use proper risk management.
Konigs | Bollinger Band Mean Reversion (Session Filter)Core Idea:
In sideways markets, price tends to revert to the mean (the middle band).
Strategy:
Buy when price touches or moves below the lower band.
Sell when price reaches or exceeds the upper band.
Exit at the middle band (20-period moving average).
Confirm with: RSI/Stochastic or candle patterns for reversal at the bands.
Only works with low-volatility instruments:
EURCHF
Filter certain time to avoid unexpected volatility
Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops.
How it Works:
Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals.
Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend.
Liquidity Sweep Detection:
A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward.
A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes.
ATR-Based Risk Management:
Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5).
Take profit is set based on a risk-reward ratio (default 2.5x).
Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading.
Inputs:
Session Start/End (HHMM)
Liquidity Lookback Period (number of bars to define prior high/low)
ATR Length for stop calculation
ATR Stop Multiplier
Risk-Reward Ratio
EMA Trend Filter Length
Visuals:
Prior Liquidity High (red)
Prior Liquidity Low (green)
EMA Trend (blue)
Why Use This Strategy:
Captures stop-hunt moves often triggered by larger market participants.
Only trades with trend confirmation, reducing false signals.
Provides automatic ATR-based stop loss and take profit for consistent risk management.
Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style.
Important Notes:
Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker.
Not financial advice; intended for educational, backtesting, or paper trading purposes.
Always test strategies thoroughly before applying to live accounts.
Big Trend Catcher: Quad-Gate & VCP & ATR trailing Swing TradeThe Strategy Philosophy
This is designed for Daily Charts to capture the large chunks if not all of a primary trend. It focuses on the "VCP" (Volatility Contraction Pattern), combined with high-grade momentum filtering.
1. How VCP (The Quiet Zone) is Calculated
The script identifies "Volatility Contraction" by measuring the Bollinger Band Width (BBW).
* The Math: It calculates the standard BBW: $(Upper Band - Lower Band) / Mid Band$.
* The "Quiet" Threshold: It compares the current width to its own 50-period Simple Moving Average.
* The Signal: When the current width is narrower than the 50-period average, the stock is in a "Quiet Zone" (represented by the blue background). This indicates energy is coiling for a potential breakout.
2. How Rate of Change (ROC) is Calculated
Unlike a standard ROC, this "Wizard" version uses a smoothed momentum filter to reduce whipsaws:
* Raw ROC: First, it calculates the raw percentage change over 15 bars: $100 x (Close / Close(15) - 1).
* Smoothing: This raw value is then smoothed using a 10-period EMA.
* The Gate: The ROC Gate only turns green when this smoothed value is greater or equal to 0, ensuring the stock has genuine upward velocity before you enter.
3. What the Indicators on the Chart Show
* Yellow Line (20 EMA): Your "Tactical Line." It tracks short-term momentum and acts as a trigger for Phoenix re-entries.
* Blue/Gray Line (100 EMA): Your "Regime Filter." It turns Blue when the trend slope is positive and Gray when negative.
* Thin Gray Outer Bands: These are Bollinger Bands set at 3 Standard Deviations from the 100 EMA. They mark extreme "Climax Zones" where price is statistically overextended.
* Stepped Red/Green Line (ATR Stop): The "Iron Floor." It uses a 20-period ATR with a 3.0 multiplier and an HHV (Highest High Value) lookback to ensure the stop only moves up, never down.
* Yellow Crosses (Gate Wait): These small icons appear above the bars when a signal has been detected but one or more "Wizard Gates" (such as the ROC or 100 EMA Slope) are not yet satisfied, signifying the strategy is waiting for full confirmation.
4. How to Trade This Strategy
* Step 1: The Setup: Look for the Blue Background on the daily chart, signifying a Volatility Contraction.
* Step 2: The Entry: An Initial Entry (Lime Triangle) fires when the price breaks out of the Quiet Zone with a volume spike. This volume must be greater than 1.3 times the 20-period Simple Moving Average of volume to confirm significant buying interest. An entry only occurs when all Quad-Gates (ROC, EMA Slope, Price > ATR) are satisfied.
* Step 3: Pyramiding: If the trend gains "Velocity" (price > 10% from entry), the script will signal a second unit to maximize gains during runaway moves.
* Step 4: The Exit: Sell the entire position if the price closes below the ATR Trailing Stop (Trend Death) or if the 100 EMA trend turns down.
5. The Phoenix Re-entry
If you are stopped out but the stock immediately recovers above the 20 EMA within 10 bars, a Phoenix Entry (Orange Triangle) will fire. This allows you to catch "Power Resumptions" where the initial shakeout was a bear trap.
Volatility Breakout System [Fixed Risk]
This is a trend-following breakout strategy designed to capture volatility expansion while filtering out low-momentum "chop." It is built on the philosophy that significant price moves are often preceded by a breakout of volatility bands (Keltner Channels) accompanied by Volume and Trend Strength (ADX).
Strategy Logic:
Volatility Breakout: The primary trigger is a candle closing outside the Keltner Channels. This indicates price is moving faster than the average range.
Trend Filter: Trades are only taken in the direction of the 200 EMA.
Momentum Filter (ADX): The ADX filter ensures we only enter when the trend strength is above a specific threshold (Default: 20). This prevents the strategy from buying tops or selling bottoms in ranging markets.
Volume Confirmation: A breakout without volume is often a fake-out. This script requires volume to be higher than the moving average.
Risk Management (Automated):
Stop Loss: Based on ATR (Average True Range) to adapt to current market volatility.
Trailing Stop: Once the trade moves in favor, a trailing stop is activated to lock in profits.
Breakeven: If price moves X% in favor, the Stop Loss is automatically moved to the entry price to protect capital.
Cooldown: Includes a safety mechanism to prevent over-trading immediately after a signal.
Backtesting Notes:
This script is set up with use_bar_magnifier=true. For accurate results, use this on higher timeframes (1H, 4H) or ensure you have a Premium account for intrabar inspection.
Inputs:
You can toggle the "Compounding" feature to test fixed cash vs. % equity growth.
Webhooks are fully configurable for alert automation.
Bar-Close Confirmed SupertrendOverview
This indicator is a Supertrend-style trend follower that confirms direction changes only after a bar closes. Trend flips are determined using the previous bar’s close relative to the bands, which helps avoid intrabar changes during live candles.
How it works
Computes ATR (Average True Range)
Builds upper/lower bands using ATR and a multiplier
Updates trend direction only when a prior candle confirms a break of the band
Confirmation logic (bar-close based)
Trend direction is updated using conditions based on the previous candle, such as:
close > upper → confirm uptrend
close < lower → confirm downtrend
Because signals are confirmed on the prior bar, trend changes and markers are displayed only when confirmation exists.
Signals
Uptrend confirmation: prior candle closes above the upper band → bullish marker
Downtrend confirmation: prior candle closes below the lower band → bearish marker
Inputs
ATR Length (default 10)
ATR Multiplier (default 3.0)
Notes
This script is intended for bar-close workflows. Behavior and responsiveness may differ across markets and timeframes depending on volatility and chosen settings.
Caja TavoStrategy based on "The Box" by Z and Scott
This strategy is based on measuring price volatility one hour before the market opens and half an hour after.
The trade is made in the direction that breaks the upper or lower limits.rior o inferior.
yaman short longThis indicator provides clear Long and Short signals to help traders identify potential market direction and trading opportunities with higher confidence.
It is designed to follow price momentum and trend strength, allowing traders to enter trades when the market shows clear directional bias. The indicator focuses on clean signals and avoids unnecessary noise, making it suitable for both beginners and experienced traders.
Key Features:
Clear Long and Short signals displayed on the chart
Helps identify potential trend continuation and reversals
Designed to reduce false signals during choppy market conditions
Suitable for scalping, intraday, and swing trading
Works across multiple markets and timeframes
How to Use:
Long Signal: Indicates potential upward movement when bullish conditions align
Short Signal: Indicates potential downward movement when bearish conditions align
Best used with proper stop-loss and risk management rules
Can be combined with support/resistance or higher timeframe confirmation
Best Markets:
Forex pairs
Gold (XAUUSD)
Cryptocurrencies
Indices
Notes:
Signals are generated after candle close
The indicator does not repaint
This tool is meant to assist decision-making, not guarantee profits
Big Trend Catcher: Dual-Gate EMA & ATR Trailing Swing TraderThe Big Trend Catcher: Long-Only Progressive Swing System
OVERVIEW
The Big Trend Catcher is a high-conviction, long-only swing trading strategy designed to identify and ride sustained market moves. Unlike traditional trend-following systems that often get "chopped out" during sideways consolidation, this strategy utilizes a Dual-Gate Filter to ensure you only enter when short-term momentum and the long-term trend are in total alignment.
It is specifically tuned for high-growth stocks and ETFs where capturing the lion’s share of a multi-week or multi-month move is the primary objective.
CORE LOGIC: THE DUAL-GATE SYSTEM
To maintain a high quality of entries, the strategy requires a "confirmed launch" through two distinct filters:
The Momentum Gate (20 EMA): Identifies immediate price acceleration and volume-backed impulse.
The Long-Term Gate (100 EMA): Acts as the ultimate trend filter. The script utilizes a "Signal Memory" logic—if an impulse happens while price is still below the 100 EMA, the trade is held in a "Pending" state. The entry only triggers once the price closes firmly above the 100 EMA.
Goal: This prevents "bottom fishing" in established downtrends and keeps you in cash during sideways "death loops" when the long-term direction is unclear.
KEY FEATURES
1. Progressive Pyramiding (Scale-In)
The biggest profits in swing trading are often made by adding to winners. This system features two automated scale-in triggers:
Velocity Adds (VOLC): Adds to the position if the stock is up >10% and moving with rising momentum, allowing you to build a larger position as the trend proves its strength.
Pullback Adds: Adds to the position when the price tests the 20 EMA and holds, allowing you to buy the "dip" within a healthy uptrend.
2. The Phoenix Re-Entry
This logic is designed to catch "V-shaped" recoveries. If the strategy exits on a trend break but the price aggressively reclaims the 20 EMA on massive volume shortly after, it re-enters the trade. This ensures you aren't left behind during the second leg of a major run after a temporary shakeout.
3. Iron-Floor ATR Exit
We use a 3.5x ATR Trailing Stop combined with the 100 EMA. This wider-than-average "breathing room" is designed to keep you in for significant gains while ignoring the minor daily volatility that often shakes out traders with tighter stops.
HOW TO USE
Best Timeframes: Daily (D) is recommended for identifying major cycles, but it can be applied to the 4-Hour (4H) for more active swing trading.
Settings:
* 20 EMA: Your short-term momentum guide.
* 100 EMA: Your long-term trend guide.
* ATR Multiplier: Set to 3.5 for maximum "trend hugging."
SUMMARY OF VISUALS
Blue Line (100 EMA): The Long-Term Trend.
Yellow Line (20 EMA): The Short-Term Momentum.
Red Stepped Line: Your ATR Trailing Floor (The "Iron Floor").
Lime Triangle: Initial Trade Entry.
Blue/Orange Shapes: Progressive Scale-in points.
Professional Grid & Reversal Bot v10 (Binance Style)Professional Grid & Reversal Bot v10 (Binance Style) – Open Source & Educational
About this Script:
This script is an advanced Grid Trading & Smart Reversal strategy, inspired by professional Binance-style execution. It is designed as an educational, open-source tool for traders who want to understand market dynamics, grid logic, and risk management.
How it Works:
1️⃣ Grid Execution:
• Divides the price range between the high and low into multiple levels (Grids).
• Opens Buy orders in the lower half and Sell orders in the upper half.
• Levels are calculated dynamically based on the highest and lowest prices over a selected lookback period.
2️⃣ Smart Reversal System:
• Detects price touches on the high or low range boundaries to identify potential reversal points.
• Opens Buy orders at the lows and Sell orders at the highs using a configurable confirmation percentage (revPct).
• Helps traders capture short-term price swings effectively.
3️⃣ Risk & Size Management:
• Position sizing based on USD amount and leverage.
• Automatic Take Profit (TP) and Stop Loss (SL) for every trade.
• Controls overtrading via the "pyramiding" parameter (max open trades).
4️⃣ Advanced Visualization:
• Plots the grid range with high/low levels and fills the background for clear context.
• Highlights potential Supply and Demand Zones.
• Displays a dynamic "Binance-style" Order Book table showing Side, Price, Quantity, and PnL.
5️⃣ Key Counters & Indicators:
• levelsArr → Stores all grid levels for execution and plotting.
• touchedHigh / touchedLow → Monitors range touches to trigger reversals.
• strategy.openprofit → Displays live open trade PnL directly on the chart.
Additional Features:
• Supports both English and Arabic languages.
• Dark Theme optimized for readability.
• Dynamic control panel updates on every bar.
• Flexible settings for Auto or Manual grid range updates.
User Guidance:
• This script is for educational purposes only; it does not guarantee profits.
• We recommend adjusting Grid Levels, Reversal Percentage, and Trade Size to experiment with different strategies.
Community Engagement:
• Suggestions and improvements are welcome! 💡
• If you have ideas for new features, let's develop them together to enhance learning.
• Please support the script with a Like & Boost if you find it useful.
• Encourages knowledge sharing to improve collective performance.
License:
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Free for educational use only. Please give credit to the author when sharing or modifying the script.
Simple RSI Strategy - Rule Based Higher Timeframe Trading
HOW IT WORKS
With the default settings, the strategy buys when RSI reaches 30 and closes when RSI reaches 40 .
That’s it.
A simple, rule-based mean reversion strategy designed for higher timeframes , where market noise is lower and trading becomes easier to manage.
Core logic:
Long when RSI moves into oversold territory
Exit when RSI mean-reverts upward
Optional short trades from overbought levels
One position at a time (no pyramiding)
No filters.
No discretion.
Just clear, testable rules.
MARKETS & TIMEFRAMES
This strategy is intended for:
Indices (Nasdaq, S&P 500, DAX, etc.)
Liquid futures and CFDs
Higher timeframes: 2H, 4H and Daily
The published example is Nasdaq (NDX) on the 2-hour timeframe .
Higher timeframes are strongly recommended.
HOW TO USE IT
Apply the strategy on a higher timeframe
Adjust RSI levels per market if needed
Use TradingView alerts to avoid constant screen-watching
Focus on execution, risk control, and consistency
This strategy is meant to be a building block , not a complete trading business on its own.
For long-term consistency, it works best when combined with other uncorrelated, rule-based systems.
IMPORTANT
This is not financial advice
All results are historical and not indicative of future performance
Always forward-test and apply proper risk management
For additional notes, setups and related systems, visit my TradingView profile page .
BE-QuantFlow: Adaptive Momentum Trading█ Overview: QuantFlow: Adaptive Momentum Trading
QuantFlow is a sophisticated algorithmic momentum trading method designed specifically for indices and high-beta stocks. However, its logic is universal; with appropriate parameter tuning, it adapts to various asset classes and timeframes.
While the standard momentum indicators (like RSI or MACD) simply measure how fast price is moving (Velocity), QuantFlow analyzes the quality and conviction of the trend . Features like Dynamic Volatility Filtering and Trend Shielding, combined with volatility weighting and a "Dual-Line" approach to distinguish between a sustainable institutional trend and a temporary retail spike, make the indicator unique and more powerful.
█ Why QuantFlow ?
Quant (The Engine): This replaces subjective guessing with objective math.
Instead of just seeing that the price is "up," we measure "how it got there". For example, a stock that rises 1 currency value every day for 10 days (smooth trend) gets a much higher score than a stock that jumps 10 currency value in one minute and does nothing else (erratic noise). This mathematical rigor provides the structure.
█ Core Logic & Philosophy
To understand how QuantFlow calculates momentum, imagine a "Tug-of-War" between Buyers (Bulls) and Sellers (Bears). Most indicators (like RSI) use a single line. If RSI is at 50, it means "Neutral." But "Neutral" can mean two very different things:
Peace: Nothing is happening. No one is buying or selling.
War: Buyers are pushing hard, but Sellers are pushing back equally hard. Volatility is massive.
A single line hides this reality. QuantFlow splits the market into two separate scores:
Bull Score (Green Line): How hard are the buyers pushing?
Bear Score (Red Line): How hard are the sellers pushing?
The Layman's Advantage:
If both lines are low = Sleepy Market (Avoid).
If Green is high and Red is low = Clean Uptrend (Buy).
If Red is high and Green is low = Clean Downtrend (Sell).
If both lines are high = Chaos/War Zone (Wait).
█ How it Weight "Sustenance" (The Critical Quality Check)
This is the most unique aspect of QuantFlow: Trend direction alone is not enough; Sustenance is weighed equally . Standard indicators treat every 10 currency value movements the same way with no distinction. However, QuantFlow asks, "Did you hold the ground you gained?"
Scenario A (High Sustenance) : A stock opens at 100, marches to 110, and closes at 110.
Verdict : Buyers pushed up and sustained the price.
QuantFlow Weight : 100%. This is a high-quality move.
Scenario B (Low Sustenance) : A stock opens at 100, spikes to 110, but gets sold off to close at 102.
Verdict : Buyers pushed up (Trend is Up), but failed to sustain it (Long Wick).
QuantFlow Weight : 20%. This is treated as "Noise" or a trap.
By mathematically weighing the Close Location Value (where the candle closes relative to its high/low), QuantFlow filters out "Gap-and-Fade" traps and exhaustion spikes that fool traditional indicators.
Comparisons: QuantFlow vs. The Rest
Calculation Logic : Standard RSI/MACD measures simple price change over time. QuantFlow measures Price Change 'times (x)' Conviction (Sustenance Weighting).
Visual Output : Standard tools show a single line (0-100), often hiding market conflict. QuantFlow displays Dual Lines (Bull vs Bear Intensity) to reveal the true state of the battle.
Trap Handling : Standard indicators are often fooled by sharp spikes. QuantFlow ignores "Gap-and-Fade" moves with poor closing conviction.
Adaptability : Standard tools use static levels (e.g., Overbought > 70). QuantFlow uses Dynamic Bands that adjust automatically to recent volatility.
█ Dynamic Volatility Filtering
Unlike standard indicators that use fixed levels (e.g., "Buy if RSI > 50"), QuantFlow acknowledges that "50" means something different in a quiet market versus a crashing market. This section explains the statistical engine driving the signals.
The Problem with Static Levels : In a low-volatility environment, a momentum score of 55 might indicate a massive breakout. In a high-volatility environment, a score of 55 might just be random noise. A fixed threshold cannot handle both scenarios.
The Solution: Adaptive Statistics : The script maintains a memory of the Momentum Events. It doesn't just look at price; it looks at where the momentum occurred in the past and draws a "Noise Zone" (Grey Band). This logic acts as a "Smart Gatekeeper" for trade entries:
Scenario A: Inside the Noise (The Filter)
If a new momentum signal happens inside the Noise Zone, the script assumes it is likely chop or noise.
Action : It forces a wait period. The signal is delayed until the trend sustains itself for Confirm Bars; else the signal is cancelled. This filters out ~70% of false signals in sideways markets.
Scenario B: Outside the Noise (The Breakout)
If a new momentum signal happens outside the Noise Zone (or the momentum score smashes through the Upper Band), it is statistically significant (an outlier event).
Action: It triggers an Immediate Entry. No waiting is required because the move is powerful enough to escape the historical noise zone.
█ The ⚠️ "Warning" System (Heads-up for Smart Reversals)
While you are directional if there is potential reversal signal, it provides the heads-up warning for a better decision-making
█ Special Utility: Ghost Mode
For intraday traders, the biggest disruption to "Flow" is the mandatory broker square-off at 3:15 PM (considering Indian Market). Often, a trend continues overnight, and the trader misses the gap-up opening the next morning because their algo was flat.
Ghost Mode is a unique feature that runs silently in the background:
At Square-off: The strategy closes your official position to satisfy the broker.
In the Background: It keeps the trade "alive" virtually (Ghost).
Next Morning: If the market opens in the trend's favor, the strategy re-enters the trade automatically. This approach ensures you capture the full swing of the trend, even if you are forced to exit at the previous session.
█ Advice on this indicator:
Parameter Calibration: The default settings are optimized for BankNifty on 5-minute charts. If you trade stocks, crypto, commodities, or any higher timeframes (e.g., 15-min or hourly), you must adjust these.
Low Volatility Assets: Reduce Stop Multiplier to 2.0.
High Volatility Assets: Increase Momentum Lookback to 50 to filter noise.
Confluence (Additional Confirmation): While QuantFlow is a complete system, using it alongside Key Support/Resistance Levels or Volume Profile provides the highest probability setups.






















