2 Dip/Tepe + Destek/Direnç + Tek Sinyal Stratejisi⭐ A Brief Summary of What the Strategy Does
🎯 1) Market analysis is being released (bottom-top analysis)
It automatically finds pivot bottoms and pivot tops on the strategic chart. Then:
If the bottoms are rising (HL – High Low): the trend is upward
If the tops are falling (LH – Lower High): the trend is downward
it interprets this.
🎯 2) Support and resistance lines are formed
Last pivot top = resistance line
Last pivot bottom = support line
These lines are automatically drawn on the chart.
🎯 3) Breakout is expected according to the trend structure
For LONG:
The last two bottoms will be rising bottoms
The price will rise above the last resistance line
This gives a single LONG signal.
For SHORT:
The last two peaks will be falling peaks
The price will fall below the support line
This gives a single SHORT signal.
Indikatoren und Strategien
Gold Rush Strategy - JsonSimple Conversion and Base line crossover strategy with Broker Commission added & JSON Alerts..
Works good in Gold with 2 ATR 1H TF.. Back test it..
100% Price Action Sequential Multi-TF Break Strategy Analyse 100% sur l'action du prix en regroupant timeframe H1, U15 et U5 sur un seul graphique
N1E_UTBOATN1E_UTBOAT
ATR trailing stop
Optional Heikin Ashi source
Buy/Sell signals based on a crossover of price vs ATR trailing stop
Strategy long/short entries
Disoxis Capital Club📊 Strategy B✅This indicator has been exclusively developed for Disoxis Capital Club members, combining advanced volume-weighted analytics with institutional trading concepts.
The indicator automatically resets at the start of each trading session and uses volume-weighted statistical calculations to ensure accuracy that aligns with professional trading platforms. All visual elements, including customizable color schemes and line styles, have been optimized for clarity and real-time decision-making. Designed specifically for active intraday traders within the Disoxis Capital Club community, this indicator incorporates time-based filtering capabilities and session-specific analytics to help identify high-probability trading opportunities.
The tool displays key institutional levels through clean visual representation, making it easier to recognize market behavior around volume-weighted price zones. Whether you're analyzing futures, forex, or equity markets, this indicator provides the technical foundation needed to align your trading with smart money movements and institutional order flow patterns.
Trend Vector Pro v2.0Title: Trend Vector Pro v2.0
👨💻 Developed by: Mohammed Bedaiwi
💡 Strategy Overview & Coherence
Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework.
Instead of stacking random indicators, TVPro is built around these integrated components:
A custom momentum engine (signal generation)
An optional ADX filter (trend quality control)
Daily Pivot Points (context, targets & S/R)
Swing-based “Golden Bar” trailing stops (trade management)
Optional extended bar detection (overextension alerts)
All parts are designed to work together and are documented below to address originality & usefulness requirements.
🔍 Core Components & Justification
1. Custom Momentum Engine (Main Signal Source)
TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise.
2. ADX Filter (Trend Strength Validation – Optional)
Uses Average Directional Index (ADX) as a gatekeeper.
Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength.
3. Classic Pivot Points (Context & Targets)
Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data.
Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup.
🧭 Trend State Logic (5-State Bar Coloring)
The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map:
🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse.
🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone.
🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse.
🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone.
🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility.
🎯 Signal Logic Modes
TVPro provides two selectable entry styles, controlled by input:
Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading.
All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades.
📌 Risk Management Tools
Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure.
Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely.
Pivot Points: Used as external targets for Take Profit and structural stop placement.
⚙️ Strategy Defaults (Crucial for Publication Compliance)
To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings:
Order Size: 5% of equity per trade ( default_qty_value = 5 )
Commission: 0.04% per order ( commission_value = 0.04 )
Slippage: 2 ticks ( slippage = 2 )
Initial Capital: 10,000
📘 How to Trade with Trend Vector Pro
Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state).
Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level.
Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure.
Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints.
🛑 Disclaimer
This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Trend Vector Pro v2.0Trend Vector Pro v2.0
👨💻 Developed by: Mohammed Bedaiwi
💡 Strategy Overview & Coherence
Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework.
Instead of stacking random indicators, TVPro is built around these integrated components:
A custom momentum engine (signal generation)
An optional ADX filter (trend quality control)
Daily Pivot Points (context, targets & S/R)
Swing-based “Golden Bar” trailing stops (trade management)
Optional extended bar detection (overextension alerts)
All parts are designed to work together and are documented below to address originality & usefulness requirements.
🔍 Core Components & Justification
1. Custom Momentum Engine (Main Signal Source)
TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise.
2. ADX Filter (Trend Strength Validation – Optional)
Uses Average Directional Index (ADX) as a gatekeeper.
Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength.
3. Classic Pivot Points (Context & Targets)
Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data.
Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup.
🧭 Trend State Logic (5-State Bar Coloring)
The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map:
🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse.
🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone.
🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse.
🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone.
🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility.
🎯 Signal Logic Modes
TVPro provides two selectable entry styles, controlled by input:
Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading.
All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades.
📌 Risk Management Tools
🟡 Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure.
Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely.
Pivot Points: Used as external targets for Take Profit and structural stop placement.
⚙️ Strategy Defaults (Crucial for Publication Compliance)
To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings:
Order Size: 5% of equity per trade ( default_qty_value = 5 )
Commission: 0.04% per order ( commission_value = 0.04 )
Slippage: 2 ticks ( slippage = 2 )
Initial Capital: 10,000
📘 How to Trade with Trend Vector Pro
Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state).
Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level.
Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure.
Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints.
🛑 Disclaimer
This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Advanced Breakout System v2.0Advanced Breakout System v2.0
Developed by: Mohammed Bedaiwi
This script hunts for high-probability breakouts by combining price consolidation zones, volume spikes vs. average volume, smart money flow (OBV), and a Momentum Override for explosive moves that skip consolidation. Additionally, it automatically identifies and plots Support and Resistance levels with price labels to help you visualize market structure.
The system follows a "Watch & Confirm" logic: it first prints a WATCH setup, then a BUY only if price confirms strength.
💡 JUSTIFICATION OF CONCEPTS (MASHUP & ORIGINALITY)
This script is an original mashup combining several analytical concepts to address common breakout failures:
Volatility Compression Engine: Uses built-in functions like ta.highest() and ta.lowest() to mathematically define the setup phase where price volatility is compressed below a user-defined threshold.
Volume Spike Confirmation: The breakout must be confirmed by a volume increase greater than a moving average of volume, signaling strong market interest.
Smart Volume Filter (OBV): This is the key component. By checking if ta.obv is above its own Moving Average, we confirm that accumulation has been occurring during the consolidation period, suggesting institutional positioning before the price break.
Multi-Exit Risk System: Employs dynamic exits (EMA cross, volume dump, bearish pattern) instead of static stop-losses to manage risk adaptively based on real-time market action.
Market Structure Visualization: The script also includes a Support & Resistance engine to plot key swing pivots and price labels for visual context.
✅ STRATEGY RESULTS & POLICY COMPLIANCE
To ensure non-misleading and transparent backtesting results, this strategy is published with the following fully compliant properties:
Dataset Compliance: The backtest is performed on the CMTL Daily (1D) chart across a long history, generating 201 total trades. This significantly exceeds the minimum requirement of 100 trades, providing a robust test dataset.
Risk Control: The strategy uses a conservative order size set to 2% of equity (default_qty_value=2), strictly adhering to the sustainable risk recommendation of 5-10% of equity per trade.
Transaction Costs: Realistic trading conditions are modeled using 0.07% commission and 3 ticks slippage to prevent the overestimation of profitability.
⚙️ VISUAL GUIDE & SIGNAL LOGIC
Key Color Legend (Visual Guide):
WATCH – Setup (Yellow Arrow Down): Potential breakout setup detected.
BUY – Confirmation (Green Arrow Up): Confirmed breakout, triggered when price trades above the high of the WATCH candle.
SELL – Break (Orange Arrow): Short-term trend weakness, triggered when price closes below the Fast EMA (9).
SELL – Dump (Dark Red Arrow): Distribution / volume dump, triggered by a bearish candle with abnormally high volume.
SELL – Pattern (Purple Arrow): Bearish price-action pattern (such as a bearish engulfing).
Support & Resistance Lines (Red/Green): Small horizontal lines plotted at key swing points with exact price labels.
⌨️ INPUTS (DEFAULT SETTINGS)
Entry settings: Consolidation Lookback (default 20) = bars used to detect consolidation. Consolidation Range % (default 12%) = max allowed range size. Volume Spike Multiplier (default 1.2) = factor above average volume to count as a spike. Force Signal on Big Moves (default ON) = forces a WATCH signal on high-momentum moves.
Exit settings: Enable Fast Exit (EMA 9) toggles the SELL – Break signal. Dump Volume Multiplier defines what counts as “dump” volume.
Support & Resistance: Adjustable Pivot Left/Right bars control the sensitivity of the support and resistance lines.
⚠️ Disclaimer Trading involves significant risk of loss. This script is for educational and informational purposes only and is not financial advice or a recommendation to buy or sell any asset. BUY and SELL signals are rule-based and derived from historical behavior and do not guarantee future performance. Always use your own analysis and risk management. This is an open-source strategy; users are encouraged to test it across different symbols and timeframes.
小諾的Lazy Bot這是個市場上所有人都懂得邏輯
指標往往是越簡單越好
只做高勝率的順勢交易,並利用指標幫我們克服人性的恐懼與貪婪。
風險免責聲明
過往績效不代表未來表現。請務必先在模擬倉進行回測與熟悉。
此腳本僅供輔助與學習使用,不構成任何投資建議 。
建議配合自身的風險管理使用。
Strategy Philosophy The logic behind this strategy is universal and widely understood: often, the simpler the indicator, the better. We focus exclusively on high-probability trend-following trades, using this indicator to help us overcome human fear and greed.
Risk Disclaimer
Past performance is not indicative of future results. Please ensure you backtest and familiarize yourself with the script in a demo account first.
This script is provided for educational and assistive purposes only and does not constitute investment advice .
It is strongly recommended to use this tool in conjunction with your own risk management strategies.
2026 CHRISTMAS PRESENT CHRISTMAS PRESENT
Overview
The Cash Detector is a comprehensive trading strategy that combines momentum analysis with price action confirmation to identify high-probability entry points. This strategy is designed to capture trend reversals and continuation moves by requiring multiple confirming signals before entry, significantly reducing false signals common in single-indicator systems.
Strategy Background
The strategy is built on the principle of confluence trading requiring multiple technical factors to align before taking a position. It focuses on two critical phases of market rotation:
Q2 Momentum Phase: Uses MACD crossovers to identify shifts in market momentum, signaling when bulls or bears are gaining control.
Q4 Trigger Phase: Employs engulfing candlestick patterns to confirm strong directional pressure and validate the momentum signal with actual price action.
By combining these elements, the strategy filters out weak signals and focuses only on setups where both momentum AND price action agree on direction.
Key Features
Dual Confirmation System: Requires both MACD momentum shift and engulfing candle pattern
RSI Filter: Optional overbought/oversold filter to avoid extreme conditions
Built-in Risk Management: Configurable stop loss and take profit levels
Performance Dashboard: Real-time ROI metrics displayed on chart
Full Backtesting: Strategy mode allows historical performance analysis
Trading Rules
LONG ENTRY BUY
All conditions must occur on the same candle:
1. Momentum Confirmation:
MACD line crosses above signal line bullish crossover
2. Price Action Confirmation:
Bullish engulfing pattern forms:
Current close greater than previous open
Current open less than previous close
Current close greater than current open
3. RSI Filter Optional:
RSI less than 70 not overbought
Visual Signal: Green LONG label appears below the candle
SHORT ENTRY SELL
All conditions must occur on the same candle:
1. Momentum Confirmation:
MACD line crosses below signal line bearish crossover
2. Price Action Confirmation:
Bearish engulfing pattern forms:
Current close less than previous open
Current open greater than previous close
Current close less than current open
3. RSI Filter Optional:
RSI greater than 30 not oversold
Visual Signal: Red SHORT label appears above the candle
Exit Rules
Stop Loss Default 2 percent
Long: Exit if price drops 2 percent below entry
Short: Exit if price rises 2 percent above entry
Take Profit Default 4 percent
Long: Exit if price rises 4 percent above entry
Short: Exit if price drops 4 percent below entry
Input Parameters
Indicator Settings
MACD Fast Length: 12 default
MACD Slow Length: 26 default
RSI Length: 14 default
Risk Management
Use Stop Loss: Enable or disable stop loss
Stop Loss percent: Percentage risk per trade default 2 percent
Use Take Profit: Enable or disable take profit
Take Profit percent: Target profit per trade default 4 percent
Filters
Use RSI Filter: Enable or disable RSI overbought oversold filter
RSI Overbought: Upper threshold default 70
RSI Oversold: Lower threshold default 30
Performance Metrics
The built-in dashboard displays:
Net Profit: Total profit loss in currency and percentage
Total Trades: Number of completed trades
Win Rate: Percentage of profitable trades
Profit Factor: Ratio of gross profit to gross loss
Average Win Loss: Mean profit per winning losing trade
Max Drawdown: Largest peak to trough decline
Best Practices
1. Timeframe Selection: Works on multiple timeframes test on 15min 1H 4H and daily
2. Market Conditions: Most effective in trending markets with clear momentum
3. Risk Reward Ratio: Default 1:2 ratio 2 percent risk 4 percent reward is conservative adjust based on backtesting
4. Combine with Context: Consider overall market trend and support resistance levels
5. Backtest First: Always backtest on your specific instrument and timeframe before live trading
Risk Disclaimer
This strategy is for educational purposes. Past performance does not guarantee future results. Always:
Backtest thoroughly on historical data
Paper trade before using real capital
Use proper position sizing and risk management
Never risk more than you can afford to lose
Customization Tips
Aggressive traders: Reduce stop loss to 1.5 percent increase take profit to 5 percent
Conservative traders: Increase stop loss to 3 percent reduce take profit to 3 percent
Ranging markets: Enable RSI filter to avoid false breakouts
Strong trends: Disable RSI filter to catch all momentum shifts
Technical Details
Indicators Used:
Moving Average Convergence Divergence MACD
Relative Strength Index RSI
Candlestick Pattern Recognition
Strategy Type: Trend following with momentum confirmation
Best Suited For: Stocks Forex Crypto Indices
Version 1.0
Compatible with Pine Script v5
Index SniperTrade smart, trade sharp! Index Sniper Strategy targets the strongest market moves with surgical entries and strict risk control — designed for traders who want speed, confidence, and consistency in index trading.
FluxMA ProFluxMA – Mechanical Moving Average Strategy with Risk Control
FluxMA is a backtesting strategy based on price breaking through a configurable moving average. Its purpose is to provide a simple, transparent, and flexible framework to study a trend-following system with clear entries, predefined Stop Loss and Take Profit levels, and no martingale, no grid, and no hidden logic.
This strategy is intended for traders who want to analyze data objectively, test risk management ideas, and explore different moving average, time, and weekday configurations within the TradingView environment.
Core Strategy Logic
The core logic of FluxMA is driven by the relationship between the close price and a configurable moving average:
A moving average is calculated on the close price (SMA, EMA, WMA, or RMA).
When a bar closes above the moving average, a long (buy) signal is generated.
When a bar closes below the moving average, a short (sell) signal is generated.
Trades are simulated at the open of the next bar, avoiding any repainting of signals on the current bar.
At all times, the strategy keeps at most one open position (no pyramiding).
There are no complex patterns or hidden conditions: everything is centered on the clean break of price relative to the moving average.
Main Parameters
FluxMA includes several parameters so you can adapt the behavior of the strategy to the instrument and your preferred style:
Moving Average
Moving average type: SMA, EMA, WMA, or RMA.
Moving average period: fully configurable, so you can make it faster or slower depending on timeframe and instrument.
Basic SL/TP Management
Stop Loss (SL) set at a fixed price distance.
Take Profit (TP) set at a fixed price distance.
The risk–reward ratio is defined by the combination of SL and TP settings.
Trading Filters
Time filter: define a start time and end time for trading to limit the strategy to specific intraday sessions.
Day-of-week filter: choose which days (Monday–Sunday) are allowed to trade.
Direction filter:
Longs only.
Shorts only.
Both directions.
“One trade per day” option: after the first trade of the day, all further signals for that day are ignored.
Suggested Use and Best Practices
FluxMA is meant to be a prototyping and analysis tool, not a ready-made “plug-and-play” system. Some ideas for how to use it:
Test different timeframes (e.g., M5, M15, H1) and see how performance changes as you adjust the moving average speed and the time horizon.
Tune the moving average type and period to study smoother vs. more aggressive trend behavior.
Analyze the impact of the time filter: only European session, only US session, or narrower windows.
Turn specific weekdays on/off to identify which days tend to behave better for each instrument.
Use this strategy as a base layer and later add your own filters (higher timeframe trend, volatility filters, etc.) within TradingView’s testing environment.
It’s a good idea to combine backtest results with manual chart review, especially in highly volatile periods and around major trend reversals.
Disclaimer and Limitations
FluxMA does not use martingale, grid, averaging down, or any aggressive position sizing. Each trade is opened with a clear logic and closed by SL or TP according to fixed rules.
This strategy runs only inside TradingView for historical simulation and analysis purposes. It is not investment advice or financial guidance.
Backtest and historical results do not guarantee future performance in live markets.
Any decision to use similar logic in live accounts or other trading environments is entirely the user’s responsibility, including risk management, position sizing, and instrument selection.
In summary, FluxMA is a simple and transparent foundation to study how a mechanical moving average breakout system behaves under different parameter, session, and weekday configurations, within a controlled testing environment like TradingView.
Kuytrade - Super Scalping Pro V1.0📘 Strategy "Kuytrade - Super Scalping Pro"
What is this strategy?
This is a scalping trading that helps you catch quick profits from short-term price movements. It's perfect for traders who want to make multiple small wins throughout the day.
How does it work?
The strategy uses a 3-level filter system to find high-quality trading signals:
Level 1: CORE Indicators (Must Pass)
- EMA (Moving Averages): Checks if the trend is going up or down
- MACD: Confirms momentum is building in the right direction
Level 2: MOMENTUM Indicators
- RSI: Looks for oversold (ready to bounce up) or overbought (ready to drop) conditions
- Stochastic: Finds reversal points where price might change direction
Level 3: BOOST Indicators
- RSI Divergence: Spots hidden opportunities when price and momentum disagree
- Strong Candles: Identifies powerful price movements
- ATR Filter: Makes sure the market is active enough to trade
Trading Setup
Each Signal Opens 3 Orders:
Order 1: Closes at TP1 (quick small profit)
Order 2: Closes at TP2 (medium profit)
Order 3: Closes at TP3 (big profit target)
Default Settings:
TP1: 1,000 points
TP2: 1,500 points
TP3: 2,500 points
Stop Loss: 1,200 points
Lot Size: 0.01 per order (3 orders total)
Smart Features
- Trailing Stop Loss
- When TP1 hits, the Stop Loss for TP3 automatically moves to breakeven + 150 points, protecting your profit!
- Auto Asset Detection
The strategy automatically recognizes what you're trading:
- Forex pairs (EURUSD, GBPUSD, etc.)
- Gold, Silver, Platinum
- Crypto (Bitcoin, Ethereum)
- Stock Indices (US30, NASDAQ, S&P500)
Indicators:
You can enable/disable each indicator level
Mix and match to find what works for your style
Visuals:
Show/Hide TP/SL lines
Show/Hide entry boxes
Mobile view for smaller screens
When to Use This Strategy?
✅ Best for:
Active markets (London/NY sessions)
Lower timeframes (1m, 5m, 15m)
Volatile pairs with clear trends
❌ Avoid during:
Major news releases
Very quiet markets
Weekends/holidays
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กลยุทธ์นี้คืออะไร?
Scalping ที่ออกแบบมาให้ช่วยทำกำไรเล็กๆ จากการเคลื่อนไหวของราคาระยะสั้น เหมาะสำหรับเทรดเดอร์ที่ต้องการทำกำไรเล็กน้อยบ่อยๆ ตลอดทั้งวัน
ทำงานยังไง?
กลยุทธ์ใช้ระบบกรองสัญญาณ 3 ระดับ เพื่อหาจุดเข้าที่มีคุณภาพสูง
Level 1: ตัวบ่งชี้หลัก (ต้องผ่าน)
- EMA (เส้นค่าเฉลี่ย): เช็คว่าเทรนด์กำลังขึ้นหรือลง
- MACD: ยืนยันว่าแรงซื้อ/ขายกำลังมาถูกทาง
Level 2: ตัวบ่งชี้โมเมนตัม
- RSI: หาจุด Oversold (ราคาถูกเกินไป พร้อมกลับตัว) หรือ Overbought (ราคาแพงเกิน พร้อมลง)
- Stochastic: หาจุดกลับตัวที่ราคาอาจจะเปลี่ยนทิศ
Level 3: ตัวบ่งชี้เสริม
- RSI Divergence: เจอโอกาสแอบแฝงเมื่อราคาและโมเมนตัมไม่สอดคล้องกัน
- Strong Candles: จับแท่งเทียนที่แรงมาก
- ATR Filter: ตรวจว่าตลาดมีความผันผวนพอจะเทรดไหม
การตั้งค่าการเทรด
แต่ละสัญญาณเปิด 3 ออเดอร์:
ออเดอร์ 1: ปิดที่ TP1 (กำไรเล็กเร็ว)
ออเดอร์ 2: ปิดที่ TP2 (กำไรกลางๆ)
ออเดอร์ 3: ปิดที่ TP3 (กำไรใหญ่)
ค่าเริ่มต้น:
TP1: 800 จุด
TP2: 1,500 จุด
TP3: 2,500 จุด
Stop Loss: 1,200 จุด
ขนาดล็อต: 0.01 ต่อออเดอร์ (รวม 3 ออเดอร์)
ฟีเจอร์พิเศษ
- Trailing Stop Loss (ขยับ SL ตาม)
- เมื่อ TP1 โดน SL ของ TP3 จะเลื่อนมาที่ราคาเข้า + 150 จุด ทำให้คุณไม่ขาดทุน!
- ตรวจจับสินทรัพย์อัตโนมัติ
กลยุทธ์จะจำคู่เงินที่คุณเทรดได้เอง:
คู่เงิน Forex (EURUSD, GBPUSD ฯลฯ)
- ทองคำ, เงิน, แพลตตินั่ม
- คริปโต (Bitcoin, Ethereum)
- ดัชนีหุ้น (US30, NASDAQ, S&P500)
แดชบอร์ดผลงาน (ล่างซ้าย)
- แสดง Win Rate แต่ละ TP
- ติดตามกำไร/ขาดทุนรวม
- แสดงสถิติทั้งหมด
แดชบอร์ดสถานะ Level (บนขวา)
สถานะตัวบ่งชี้แบบเรียลไทม์
เขียว = สัญญาณพร้อม
แดง = รอเงื่อนไข
ตั้งค่าที่ปรับได้
คุณภาพสัญญาณ:
เปิด "Strict Filter" = สัญญาณน้อยแต่คุณภาพสูง
ปิด "Strict Filter" = สัญญาณเยอะแต่อาจเสี่ยงขึ้น
ตัวบ่งชี้:
- เปิด/ปิดแต่ละ Level ได้
- ผสมผสานหาสูตรที่เหมาะกับคุณ
การแสดงผล:
- แสดง/ซ่อนเส้น TP/SL
- แสดง/ซ่อนกล่องข้อมูล Entry
- โหมดมือถือสำหรับจอเล็ก
เมื่อไหร่ควรใช้กลยุทธ์นี้?
✅ เหมาะกับ:
- ตลาดที่คึกคัก (เซสชั่นลอนดอน/นิวยอร์ก)
- ไทม์เฟรมเล็ก (1m, 5m, 15m)
- คู่เงินที่มีความผันผวนและเทรนด์ชัด
❌ หลีกเลี่ยง:
- ช่วงมีข่าวเศรษฐกิจสำคัญ
- ตลาดเงียบมาก
- วันหยุดสุดสัปดาห์
Session Breakout StrategyThis is simple Session Breakout Strategy with Toggles provided to enable different Sessions based on the requirement..
ADX and Volume Filters provided to cut down the Whipsaws..
For BTC in 5 mins works good with the default setting.
For Gold Change ATR TP - 2.5 and ATR SL -1.5 in 5m TF.
Alpha-Vector Unconstrained [GG_DOGE]
Alpha-Vector: Variance-Weighted Trend Capture Protocol
Authored by: GG_DOGE
Executive Summary
This algorithm represents the culmination of an exhaustive quantitative regression analysis, designed to exploit fat-tail distribution events in the SOL/USD cryptographic pair. By leveraging recursive historical data modeling on the 8-Hour timeframe, the strategy identifies high-probability momentum asymmetry—specifically isolating periods where directional volatility aligns with institutional order flow.
Unlike static heuristic models, this protocol utilizes a Dynamic Variance-Weighted Allocation Engine. This ensures that capital exposure is inversely correlated to market noise (entropy) while maximizing geometric compounding during high-conviction momentum phases. It essentially acts as a volatility filter, capitalizing on the statistical skew of the asset's return profile while enforcing rigorous drawdown mitigation via adaptive liquidity exits.
Key Algorithmic Features
Asymmetric Risk Architecture: The strategy deploys decoupled risk profiles for Long and Short vectors. Through backtest optimization, we have mathematically determined that bullish drift requires aggressive variance targeting, while bearish mean-reversion requires strictly constrained capital exposure to mitigate "short-squeeze" tail risks.
Volatility-Adjusted Position Sizing: Trade depth is not static. The algorithm calculates the instantaneous Average True Range (ATR) to normalize position size based on current market turbulence. This maintains a constant Risk-of-Ruin probability, regardless of price velocity.
Quantitatively Optimized Trend Filter: The entry signal is governed by a proprietary lookback period derived from computational brute-forcing of historical pivot points, designed to filter out Gaussian noise and only execute during significant structural market shifts.
Operational Guide (Strict Adherence Required)
This script comes pre-loaded with the statistically optimal parameters for the analyzed asset. No manual calibration is required.
Deployment Target:
Asset: CRYPTO:SOLUSD (Solana / US Dollar)
Timeframe: 8h (8-Hour Candle)
Exchange: Any major liquidity venue (Binance, Coinbase, Kraken, etc.)
Configuration:
Strategy Mode: Select "Long & Short" for the fully optimized protocol (captures upside momentum and hedges downside crashes).
Risk Parameters: The default values are mathematically tuned for maximum geometric growth (Highest PnL). Do not alter these unless you wish to artificially suppress the algorithm's volatility targeting.
Execution:
Capital Allocation: The logic is designed for compounding growth. It will automatically calculate the maximum lot size allowed based on your account equity, ensuring 100% capital efficiency without crossing into margin-call territory
ALT Risk Metric StrategyHere's a professional write-up for your ALT Risk Strategy script:
ALT/BTC Risk Strategy - Multi-Crypto DCA with Bitcoin Correlation Analysis
Overview
This strategy uses Bitcoin correlation as a risk indicator to time entries and exits for altcoins. By analyzing how your chosen altcoin performs relative to Bitcoin, the strategy identifies optimal accumulation periods (when alt/BTC is oversold) and profit-taking opportunities (when alt/BTC is overbought). Perfect for traders who want to outperform Bitcoin by strategically timing altcoin positions.
Key Innovation: Why Alt/BTC Matters
Most traders focus solely on USD price, but Alt/BTC ratios reveal true altcoin strength:
When Alt/BTC is low → Altcoin is undervalued relative to Bitcoin (buy opportunity)
When Alt/BTC is high → Altcoin has outperformed Bitcoin (take profits)
This approach captures the rotation between BTC and alts that drives crypto cycles
Key Features
📊 Advanced Technical Analysis
RSI (60% weight): Primary momentum indicator on weekly timeframe
Long-term MA Deviation (35% weight): Measures distance from 150-period baseline
MACD (5% weight): Minor confirmation signal
EMA Smoothing: Filters noise while maintaining responsiveness
All calculations performed on Alt/BTC pairs for superior market timing
💰 3-Tier DCA System
Level 1 (Risk ≤ 70): Conservative entry, base allocation
Level 2 (Risk ≤ 50): Increased allocation, strong opportunity
Level 3 (Risk ≤ 30): Maximum allocation, extreme undervaluation
Continuous buying: Executes every bar while below threshold for true DCA behavior
Cumulative sizing: L3 triggers = L1 + L2 + L3 amounts combined
📈 Smart Profit Management
Sequential selling: Must complete L1 before L2, L2 before L3
Percentage-based exits: Sell portions of position, not fixed amounts
Auto-reset on re-entry: New buy signals reset sell progression
Prevents premature full exits during volatile conditions
🤖 3Commas Automation
Pre-configured JSON webhooks for Custom Signal Bots
Multi-exchange support: Binance, Coinbase, Kraken, Bitfinex, Bybit
Flexible quote currency: USD, USDT, or BUSD
Dynamic order sizing: Automatically adjusts to your tier thresholds
Full webhook documentation compliance
🎨 Multi-Asset Support
Pre-configured for popular altcoins:
ETH (Ethereum)
SOL (Solana)
ADA (Cardano)
LINK (Chainlink)
UNI (Uniswap)
XRP (Ripple)
DOGE
RENDER
Custom option for any other crypto
How It Works
Risk Metric Calculation (0-100 scale):
Fetches weekly Alt/BTC price data for stability
Calculates RSI, MACD, and deviation from 150-period MA
Normalizes MACD to 0-100 range using 500-bar lookback
Combines weighted components: (MACD × 0.05) + (RSI × 0.60) + (Deviation × 0.35)
Applies 5-period EMA smoothing for cleaner signals
Color-Coded Risk Zones:
Green (0-30): Extreme buying opportunity - Alt heavily oversold vs BTC
Lime/Yellow (30-70): Accumulation range - favorable risk/reward
Orange (70-85): Caution zone - consider taking initial profits
Red/Maroon (85-100+): Euphoria zone - aggressive profit-taking
Entry Logic:
Buys execute every candle when risk is below threshold
As risk decreases, position sizing automatically scales up
Example: If risk drops from 60→25, you'll be buying at L1 rate until it hits 50, then L2 rate, then L3 rate
Exit Logic:
Sells only trigger when in profit AND risk exceeds thresholds
Sequential execution ensures partial profit-taking
If new buy signal occurs before all sells complete, sell levels reset to L1
Configuration Guide
Choosing Your Altcoin:
Select crypto from dropdown (or use CUSTOM for unlisted coins)
Pick your exchange
Choose quote currency (USD, USDT, BUSD)
Risk Metric Tuning:
Long Term MA (default 150): Higher = more extreme signals, Lower = more frequent
RSI Length (default 10): Lower = more volatile, Higher = smoother
Smoothing (default 5): Increase for less noise, decrease for faster reaction
Buy Settings (Aggressive DCA Example):
L1 Threshold: 70 | Amount: $5
L2 Threshold: 50 | Amount: $6
L3 Threshold: 30 | Amount: $7
Total L3 buy = $18 per candle when deeply oversold
Sell Settings (Balanced Exit Example):
L1: 70 threshold, 25% position
L2: 85 threshold, 35% position
L3: 100 threshold, 40% position (final exit)
3Commas Setup
Bot Configuration:
Create Custom Signal Bot in 3Commas
Set trading pair to your altcoin/USD (e.g., ETH/USD, SOL/USDT)
Order size: Select "Send in webhook, quote" to use strategy's dollar amounts
Copy Bot UUID and Secret Token
Script Configuration:
Paste credentials into 3Commas section inputs
Check "Enable 3Commas Alerts"
Save and apply to chart
TradingView Alert:
Create Alert → Condition: "alert() function calls only"
Webhook URL: api.3commas.io
Enable "Webhook URL" checkbox
Expiration: Open-ended
Strategy Advantages
✅ Outperform Bitcoin: Designed specifically to beat BTC by timing alt rotations
✅ Capture Alt Seasons: Automatically accumulates when alts lag, sells when they pump
✅ Risk-Adjusted Sizing: Buys more when cheaper (better risk/reward)
✅ Emotional Discipline: Systematic approach removes fear and FOMO
✅ Multi-Asset: Run same strategy across multiple altcoins simultaneously
✅ Proven Indicators: Combines RSI, MACD, and MA deviation - battle-tested tools
Backtesting Insights
Optimal Timeframes:
Daily chart: Best for backtesting and signal generation
Weekly data is fetched internally regardless of display timeframe
Historical Performance Characteristics:
Accumulates heavily during bear markets and BTC dominance periods
Captures explosive altcoin rallies when BTC stagnates
Sequential selling preserves capital during extended downtrends
Works best on established altcoins with multi-year history
Risk Considerations:
Requires capital reserves for extended accumulation periods
Some altcoins may never recover if fundamentals deteriorate
Past correlation patterns may not predict future performance
Always size positions according to personal risk tolerance
Visual Interface
Indicator Panel Displays:
Dynamic color line: Green→Lime→Yellow→Orange→Red as risk increases
Horizontal threshold lines: Dashed lines mark your buy/sell levels
Entry/Exit labels: Green labels for buys, Orange/Red/Maroon for sells
Real-time risk value: Numerical display on price scale
Customization:
All threshold lines are adjustable via inputs
Color scheme clearly differentiates buy zones (green spectrum) from sell zones (red spectrum)
Line weights emphasize most extreme thresholds (L3 buy and L3 sell)
Strategy Philosophy
This strategy is built on the principle that altcoins move in cycles relative to Bitcoin. During Bitcoin rallies, alts often bleed against BTC (high sell, accumulate). When Bitcoin consolidates, alts pump (take profits). By measuring risk on the Alt/BTC chart instead of USD price, we time these rotations with precision.
The 3-tier system ensures you're always averaging in at better prices and scaling out at better prices, maximizing your Bitcoin-denominated returns.
Advanced Tips
Multi-Bot Strategy:
Run this on 5-10 different altcoins simultaneously to:
Diversify correlation risk
Capture whichever alt is pumping
Smooth equity curve through rotation
Pairing with BTC Strategy:
Use alongside the BTC DCA Risk Strategy for complete portfolio coverage:
BTC strategy for core holdings
ALT strategies for alpha generation
Rebalance between them based on BTC dominance
Threshold Calibration:
Check 2-3 years of historical data for your chosen alt
Note where risk metric sat during major bottoms (set buy thresholds)
Note where it peaked during euphoria (set sell thresholds)
Adjust for your risk tolerance and holding period
Credits
Strategy Development & 3Commas Integration: Claude AI (Anthropic)
Technical Analysis Framework: RSI, MACD, Moving Average theory
Implementation: pommesUNDwurst
Disclaimer
This strategy is for educational purposes only. Cryptocurrency trading involves substantial risk of loss. Altcoins are especially volatile and many fail completely. The strategy assumes liquid markets and reliable Alt/BTC price data. Always do your own research, understand the fundamentals of any asset you trade, and never risk more than you can afford to lose. Past performance does not guarantee future results. The authors are not financial advisors and assume no liability for trading decisions.
Additional Warning: Using leverage or trading illiquid altcoins amplifies risk significantly. This strategy is designed for spot trading of established cryptocurrencies with deep liquidity.
Tags: Altcoin, Alt/BTC, DCA, Risk Metric, Dollar Cost Averaging, 3Commas, ETH, SOL, Crypto Rotation, Bitcoin Correlation, Automated Trading, Alt Season
Feel free to modify any sections to better match your style or add specific backtesting results you've observed! 🚀Claude is AI and can make mistakes. Please double-check responses. Sonnet 4.5
BTC DCA Risk Metric StrategyBTC DCA Risk Strategy - Automated Dollar Cost Averaging with 3Commas Integration
Overview
This strategy combines the proven Oakley Wood Risk Metric with an intelligent tiered Dollar Cost Averaging (DCA) system, designed to help traders systematically accumulate Bitcoin during periods of low risk and take profits during high-risk conditions.
Key Features
📊 Multi-Component Risk Assessment
4-Year SMA Deviation: Measures Bitcoin's distance from its long-term mean
20-Week MA Analysis: Tracks medium-term momentum shifts
50-Day/50-Week MA Ratio: Captures short-to-medium term trend strength
All metrics are normalized by time to account for Bitcoin's maturing market dynamics
💰 3-Tier DCA Buy System
Level 1 (Low Risk): Conservative entry with base allocation
Level 2 (Lower Risk): Increased allocation as opportunity improves
Level 3 (Extreme Low Risk): Maximum allocation during rare buying opportunities
Buys execute every bar while risk remains below thresholds, enabling true DCA accumulation
📈 Progressive Profit Taking
Sell Level 1: Take initial profits as risk increases
Sell Level 2: Scale out further positions during elevated risk
Sell Level 3: Final exit during extreme market conditions
Sell levels automatically reset when new buy signals occur, allowing flexible re-entry
🤖 3Commas Integration
Fully automated webhook alerts for Custom Signal Bots
JSON payloads formatted per 3Commas API specifications
Supports multiple exchanges (Binance, Coinbase, Kraken, Gemini, Bybit)
Configurable quote currency (USD, USDT, BUSD)
How It Works
The strategy calculates a composite risk metric (0-1 scale):
0.0-0.2: Extreme buying opportunity (green zone)
0.2-0.5: Favorable accumulation range (yellow zone)
0.5-0.8: Neutral to cautious territory (orange zone)
0.8-1.0+: High risk, profit-taking zone (red zone)
Buy Logic: As risk decreases, position sizes increase automatically. If risk drops from L1 to L3 threshold, the strategy combines all three tier allocations for maximum exposure.
Sell Logic: Sequential profit-taking ensures you capture gains progressively. The system won't advance to Sell L2 until L1 completes, preventing premature full exits.
Configuration
Risk Metric Parameters:
All calculations use Bitcoin price data (any BTC chart works)
Time-normalized formulas adapt to market maturity
No manual parameter tuning required
Buy Settings:
Set risk thresholds for each tier (default: 0.20, 0.10, 0.00)
Define dollar amounts per tier (default: $10, $15, $20)
Fully customizable to your risk tolerance and capital
Sell Settings:
Configure risk thresholds for profit-taking (default: 1.00, 1.50, 2.00)
Set percentage of position to sell at each level (default: 25%, 35%, 40%)
3Commas Setup:
Create a Custom Signal Bot in 3Commas
Copy Bot UUID and Secret Token into strategy inputs
Enable 3Commas Alerts checkbox
Create TradingView alert: Condition → "alert() function calls only", Webhook → api.3commas.io
Backtesting Results
Strengths:
Systematically buys dips without emotion
Averages down during extended bear markets
Captures explosive bull run profits through tiered exits
Pyramiding (1000 max orders) allows true DCA behavior
Considerations:
Requires sufficient capital for multiple buys during prolonged downtrends
Backtest on Daily timeframe for most reliable signals
Past performance does not guarantee future results
Visual Design
The indicator pane displays:
Color-coded risk metric line: Changes from white→red→orange→yellow→green as risk decreases
Background zones: Green (buy), yellow (hold), red (sell) areas
Dashed threshold lines: Clear visual markers for each buy/sell level
Entry/Exit labels: Green buy labels and orange/red sell labels mark all trades
Credits
Original Risk Metric: Oakley Wood
Strategy Development & 3Commas Integration: Claude AI (Anthropic)
Modifications: pommesUNDwurst
Disclaimer
This strategy is for educational and informational purposes only. Cryptocurrency trading carries substantial risk of loss. Always conduct your own research and never invest more than you can afford to lose. The authors are not financial advisors and assume no responsibility for trading decisions made using this tool.
Estrategia Infalible Futuros Supertrend+RSI+EMAS+VWAP (30m) Estrategia para futuros especialmente enfocada en MBT
Hash Ratings EngineHash Ratings Engine - Technical Consensus Strategy
A systematic trading strategy that harnesses TradingView's Technical Ratings to generate high-conviction entries with institutional-grade risk management.
What It Does
This strategy aggregates the consensus of 26+ technical indicators (RSI, MACD, Stochastics, multiple Moving Averages, etc.) into a single actionable signal. When enough indicators align bullish or bearish, the engine triggers an entry. Built-in trend filtering and ATR-based exits keep you on the right side of the market.
Key Features
Trend Filter - Only takes longs in uptrends, shorts in downtrends. This single filter typically improves results by 20-40% by avoiding counter-trend trades.
ATR-Based Risk Management - Stop loss and trailing stops adapt to current market volatility. Tight stops in calm markets, wider stops in volatile conditions.
Cooldown System - After a losing trade, the strategy waits before re-entering. This prevents the consecutive loss streaks that destroy accounts.
Clean Visuals - Fluorescent entry/exit signals with price level references. See exactly where you got in and out.
Settings Guide
Indicator Timeframe: Leave blank for current chart. Use higher timeframe for fewer, higher-quality signals.
Rating Source: "All" for balanced approach. "MAs" for trend-following. "Oscillators" for mean-reversion.
Entry Thresholds
Strong Signal Threshold: Higher = fewer trades but better conviction. Start at 0.5, test 0.4-0.6.
Risk Management
ATR Period: 12 is responsive, 14 is standard, 20+ is smoother.
Stop Loss: 2-3x ATR for tight stops, 3.5-4x for moderate, 5x+ for wide.
Trail Activation: How far price must move in profit before trailing begins.
Trail Offset: How closely the trail follows price.
Trend Filter
EMA Length: 150 works well on 4H charts. Use 100 for lower timeframes, 200 for daily.
Trade Timing
Cooldown: Keep enabled. 5 bars is a good starting point.
Best Practices
Start with default settings and backtest on your preferred instrument. Adjust the Strong Signal Threshold first - this has the biggest impact on trade frequency. Then tune the EMA length to match your timeframe. Finally, optimize the ATR multipliers for your risk tolerance.
Works on any liquid market - crypto, forex, stocks, futures. Higher timeframes (4H, Daily) tend to produce cleaner signals than lower timeframes.
Disclaimer
Past performance does not guarantee future results. Always backtest thoroughly and use proper position sizing. This strategy is for educational purposes - trade at your own risk.
SuperTrend Crypto v2This is an advanced version of Supertrend with Capabilites to add TGT/SL/TSL in points and percentage.
User can also Fire Entry and exit qty in dollars seperately.
Buy logic triggers signal when supertrend turns from red to green and vice versa for short.
Added options module to fire orders in options in multiple exchanges like Delta, Coinswitch and more.
Added Indian intraday mode incase if users want to use it for Indian markets as well.
Fibonacci Vision ProFibonacci Precision Signals Pro | Smart Buy & Sell Alerts
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OVERVIEW
This indicator combines Fibonacci mathematics with advanced signal filtering to deliver precise buy and sell signals. It automatically detects swing structure, calculates the key 0.618 retracement level, and generates signals only when multiple confirmation factors align.
Clean. Accurate. Professional.
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HOW IT WORKS
The script identifies swing highs and lows, then calculates Fibonacci retracement levels automatically. When price interacts with the 0.618 zone and all filters confirm, a signal appears:
▲ buy — Long entry opportunity
▼ sell — Short entry opportunity
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6-LAYER CONFIRMATION SYSTEM
Every signal must pass through:
Trend Direction Analysis
Fibonacci Level Interaction
EMA Trend Filter (50-period default)
RSI Momentum Validation (14-period default)
Volume Spike Detection
Candlestick Pattern Recognition (Pin bars, Engulfing, Momentum candles)
This multi-layer approach significantly reduces false signals.
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BUILT-IN RISK MANAGEMENT
Every trade includes automatic stop loss and take profit levels:
Stop Loss: 100 pips
Take Profit: 200 pips
Risk-Reward Ratio: 1:2
Adjust these values in settings to match your trading style.
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KEY FEATURES
✅ Automatic Fibonacci calculation — no manual drawing
✅ Multi-timeframe compatibility — M15 to Daily
✅ Universal market support — Forex, Crypto, Stocks, Indices
✅ Clean minimalist signals — white triangles with text
✅ Customizable filters — adjust sensitivity to your preference
✅ Built-in alerts — never miss a signal
✅ No repainting — signals remain fixed once confirmed
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Swing Detection:
Swing Length — Controls sensitivity to market structure (default: 10)
Confirmation Bars — Bars required to confirm signal (default: 1)
Signal Filters:
EMA Trend Filter — Toggle trend confirmation on/off
EMA Length — Adjust trend filter period (default: 50)
RSI Filter — Toggle momentum confirmation on/off
RSI Length — Adjust momentum period (default: 14)
Volume Filter — Toggle volume confirmation on/off
Volume Multiplier — Set volume threshold (default: 1.2x average)
Risk Management:
Stop Loss Pips — Set your stop loss distance (default: 100)
Take Profit Pips — Set your profit target (default: 200)
Pip Value — Adjust for your instrument (0.0001 for most Forex, 0.01 for JPY pairs)
Visuals:
Show Signals — Toggle signal visibility
Show Cloud — Toggle Fibonacci zone visibility
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BEST PRACTICES
Use on H1 or H4 timeframes for optimal results
Trade in direction of the higher timeframe trend
Avoid trading during major news events
Combine with proper position sizing
Always use the built-in stop loss
Be patient — quality signals over quantity
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MARKETS SUPPORTED
Forex — All major, minor, and exotic pairs
Crypto — BTC, ETH, and altcoins
Stocks — Any equity on TradingView
Indices — S&P500, NASDAQ, DAX, FTSE, etc.
Commodities — Gold, Silver, Oil, etc.
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WHY FIBONACCI?
The 0.618 ratio (Golden Ratio) is observed by traders worldwide. When price retraces to this level, it often:
Reverses direction
Finds support or resistance
Creates high-probability entry opportunities
This script automates the detection of these key moments.
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ALERTS INCLUDED
Set up notifications to receive signals on:
Mobile push notifications
Desktop popups
Email alerts
Webhook integrations
Never miss a trading opportunity again.
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WHAT MAKES THIS DIFFERENT
Most indicators give too many signals. This one focuses on quality.
Most indicators clutter your chart. This one keeps it clean.
Most indicators ignore risk management. This one includes it.
Most indicators work on one market. This one works on all.
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DISCLAIMER
This indicator is a trading tool, not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never trade with money you cannot afford to lose. Test on a demo account before trading live.
Market Dynamics - Backtest Engine [NeuraAlgo]Market Dynamics – Backtest Engine
Market Dynamics – Backtest Engine is an advanced research-grade trading framework engineered by NeuraAlgo.
🔹 Core Engine – Dynamic Trend Model
The strategy leverages the NeuraAlgo – Market Dynamics indicator as its foundation, providing intelligent insights to guide trading decisions. It is designed to automatically identify the optimal settings for the NeuraAlgo – Market Dynamics indicator, helping traders fine-tune their strategy for maximum efficiency, accuracy, and profitability. This engine dynamically adapts to market conditions, ensuring your strategy stays optimized in real-time.
🔹 Optimization Engine
A built-in optimization module allows automatic testing of:
Winrate-focused configurations
Profit-focused configurations
Sensitivity ranges
Step sizes
Main Entry, Main Filter, Feature Filter, and Risk Manager categories
This enables rapid identification of optimal parameters similar to a lightweight AI optimizer.
This Backtesting + Auto Optimization Engine includes an integrated optimizer that automatically tests sensitivity ranges:
Maximize Winrate
Maximize Profits
Optimize Main Entries, Risk Manager, or Feature Filters
Users can set:
start sensitivity
step size
parameter category
The engine autonomously computes which parameter delivers the strongest performance.
🔹 How To Use
1. Identify the Parameters
First, you need to know which indicator parameters can be optimized. For the NeuraAlgo – Market Dynamics indicator, these might include:
Trend sensitivity
Smoothing periods
Threshold values for bullish/bearish signals
These parameters are the inputs your engine will test.
2. Define a Range
For each parameter, define a range of values to test. Example:
Sensitivity: 2 → 10
Trend period: 14 → 50
Threshold: 0.1 → 1.0
The more granular the range, the more precise the optimization—but it will also take longer.
3. Run Backtest Optimization
Attach the strategy to a chart.
Select optimization mode in your engine (or set the range for each parameter).
Start the backtest: the engine will simulate trades for every combination of parameter values.
The system will automatically record key metrics for each run:
Net profit
Win rate
Profit factor
Max drawdown
4. Analyze the Results
After the backtest, your engine will display a results table or chart showing performance for each parameter combination. Look for:
Highest net profit
Highest win rate
Or a combination depending on your strategy goals
Some engines will highlight the “best” parameter set automatically.
5. Apply Optimal Settings
Once identified:
Select the best-performing parameter values.
Apply them to your live strategy or paper trade.
Optionally, forward test to confirm they work on unseen market data.
Congratulations! The setup is now optimized.
🔹 Conclusion
The backtest optimization process helps you find the best parameter values for the NeuraAlgo – Market Dynamics indicator by systematically testing different settings and measuring their performance. By analyzing metrics like net profit, win rate, and drawdown, you can select optimized parameters that are more likely to perform consistently in real trading. Proper optimization ensures your strategy is data-driven, adaptable, and reduces guesswork, giving you a stronger edge in the market.
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