VWMA_withATRstops_strategyThis strategy follows the trend when price is above VWMA indicator. I have modified entry and exit rules to get most out of it.
Instead of entering LONG when price crosses above VWMA, I have used RSI(14) of VWMA . that way it skips the false signals. (some extent)
ENTRY
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1. VWMA setting is 33
2. When RSIofVwma is above 30 enter Long ( and also checks if price already broke the ATR Stop above line )
Stop Loss and Exits
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1. Exit is when price breaks the ATR stop loss
2. ATR setting is set as same VWMA Length and multiplier is 3.5
3. STOP Loss that I mentioned in the settings is being used to calculate the how many units can be purchased based on risk of capital value.
Note: There is NO hard stop loss. having above ATR stop loss works as Trailing stop loss
Warning
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For the educational purposes only
Cari skrip untuk "stop loss"
Fibonacci Bollinger Bands Strategy [QuantNomad]This strategy is modified Stanard Bollinger Bands Strategy. Instead of using standard deviation, I use a metric of how big is the range for the last X bars. Also, I’m using Fibonacci levels as multipliers for BB.
In this strategy you have a choice of 3 different Trailing Stop Loss types:
Standard % – standard percent based TSL
Fibonacci Level – close your position on another Fibonacci level or basis line of BB.
Parabolic SAR – Parabolic SAR adapted as trailing stop loss.
For Standard % and Parabolic SAR, you can use the “TSL Offset” parameter to set an initial offset for trailing stop loss.
Parameters
BB Length – Bolinger Bands Length
Fib Entry Level – Entry BB Multiplier level. Can be one of Fibonacci levels: 0.236, 0.382, 0.5, 0.618, 0.786, 1.000
Trailing SL Type – Type of Trailing Stop Loss used to close positions. Can be one of 3 types: “Standard %”, “Fibonacci Level”, “Parabolic SAR”
TSL Offset (%) – Initial offset for TSL. Applicable to “Standard %” and “Parabolic SAR”
TSL Fib Level – Fibonacci level used for “Fibonacci level” type of TSL
TSL PSAR Start / Increment / Maximum – parameters for PSAR type of TSL.
Strategy side – you can choose the side of the strategy. You can require strategy to go only Long, Short to Both sides.
From/To Day/Month/Year – you can use these parameters to set backtesting range to check the performance of your strategy on a specific range
It's a pro indicator, you can have access to it for a small fee. Link to my PRO indicators you can find in my signature.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as good as in historical backtesting.
This post and the script don’t provide any financial advice.
Trend spider glueThis script works on all market types.
This script will show you when to long, short, exit (stop loss) and Take profit.
Signals take into account various elements such as momentum, volume , moving averages and long term trend analysis. Stop loss function is included to show you when a signal is invalidated.
Use this strategy strictly, patiently and with discipline to prevent unneeded losses, this will result in long term consistent profits.
This script has been set to work best on the intraday time frames, however it also works on the longer timeframes. Use the settings tab to dilute the indicators to ur own market.
Lastly, this indicator will not give signals if the market is not trending.
PM me here to get a free trial for the indicator !
HAPPY TRADING <3
Version 2 will be coming soon which will integerate more elements to allow for more accurate signals and faster stop losses !
disclaimer: although this indicator is taking many elements into account and is highly accurate the market is never certain, we are not responsible for any losses the script may result in as we are not financial advisors.
MACD BF 🚀Customised MACD strategy with dynamic stop losses based on ATR.
Signals are generated when the delta value becomes positive or negative (when it crosses the zero line)
Stop losses are printed on the chart in yellow and orange. They are based on recent average True Range to allow for volatility.
INSTRUCTIONS
Green background = long
Red background = short
Yellow dotted line = stop loss placement for long
Orange dotted line = stop loss placement for short
White background = you have been stopped out, wait patiently for the next signal
Center of Gravity BF 🚀Thanks to HPotter for the code I based this strategy on.
Center of Gravity calculation is based here on a linear regression function using the least squares method.
We use this to calculate a channel consisting of 2 lines, green and red on the chart
This strategy employs a dynamic stop loss function that measures stop loss placement based on recent ATR.
How signals are generated:
Price closes above green line = Go Long
Price closes below red line = Go Short
Yellow dotted line = stop loss based on long entry
Orange dotted line = stop loss based on short entry
INSTRUCTIONS
Green background = Go Long, put your stop loss at the yellow dotted line
Red background = Go Short, put your stop loss at the orange dotted line
NB: The stop losses printed on the chart are calculated from the point of entry on a trade, if you make a different entry to what is indicated, the corresponding stop loss will be different to what the indicator displays.
Futures Fighter MO: Multi-Confluence Day Trading System ADX/SMI👋 Strategy Overview: The Multi-Confluence Mashup
The Futures Fighter MO is a comprehensive, multi-layered day trading strategy designed for experienced traders focusing on high-liquidity futures contracts (e.g., NQ, ES, R2K).
This strategy is a sophisticated mashup that uses the 1-minute chart for surgical entries while enforcing strict environmental filtering through higher-timeframe data. We aim to capture high-conviction moves only when multiple, uncorrelated signals align.
🧠 How the Logic Works (Concepts & Confluence)
Our logic is built on four pillars, which must align for a trade to be executed:
Primary Trend Filter
Indicators :
ADX/DMI (15-Minute Lookback)
Role :
Price action is filtered to ensure the ADX (17/14) is above 25, confirming a strong, prevailing market trend (Bullish or Bearish). Trades are strictly rejected during "Flat" (sideways) market regimes.
Entry Signal Types
The system uses multiple entry types:
- 🟢 Trend Long/Short: A breakout/rejection near the 200-Period EMA is confirmed by the primary ADX trend.
- 🔴 Engulfing Rejection: A strong signal when a Bullish/Bearish Engulfing or Doji prints near the long-term 500-Period EMA (emaGOD) while the Stochastic Momentum Index (SMI on 30M) is in an extreme overbought/oversold state (below $-40$ or above $40$).
Volatility & Volume Confirmation
Indicators: Average True Range (ATR) and 20-Period SMA of Volume
Role: Every entry requires a volume spike (Current Volume $> 1.5 \times$ SMA Volume) to confirm that the move is supported by significant liquidity. Volatility is tracked via ATR to define bar range and stop boundaries.
Structural Guardrails
Indicators: Daily Pivot Points (PP, S1-S3, R1-R3)
Role: Trades are disabled if the current bar's price range intersects with a Daily Pivot Point. This is a critical filter to avoid high-chop consolidation zones near key structural levels.
📊 Strategy Results & Required Disclosures
I strive to publish backtesting results that are transparent and realistic for the retail futures trader.
- Initial Capital: $50,000 - A realistic base for Mini/Micro futures contracts.
- Order Size: 1 Contract (Pyramiding up to 3) - Conservative risk relative to the account size.
- Commission: $0.11 USD per order - Represents realistic costs for low-cost brokers.
- Slippage: 2 Ticks - Accounts for expected market friction.
⚠️ Risk Management & Deviations
Stop-Loss: The strategy uses a dynamic stop-loss system where positions are closed upon a reversal (e.g., breaking the 50-Period EMA or failure to hold a Pivot Point), rather than a fixed tick-based stop. This is suited for experienced traders using a low relative risk (single Micro-contract entry) on a larger account. Users must confirm that the first entry's maximum potential loss remains below $10\%$ of their capital for compliance.
Trade Sample Size: Due to data limitations of the TradingView Essential plan (showing $\approx 50$ trades over 2 weeks), the sample size is under the ideal $100+$ target. Justification: This system is designed to generate signals across a portfolio of correlated futures markets (NQ, ES, R2K, Gold, Crude), meaning the real sample size for a user tracking the portfolio is significantly higher.
Drawdown Control: This strategy is designed for manual management. It requires the user to turn the script/alerts OFF after a significant drawdown and only reactivate it once a recovery trend is established externally.
The strategy uses a combination of dynamic trailing stops, structural support/resistance zones, and a fixed profit target to manage open positions.
🛑 Strategy Exit Logic
1. General Stop-Loss (Dynamic Trailing Stop)
These conditions act as the primary dynamic stop, closing the position if the market reverses past a key Moving Average (MA):
- Long Positions Closed When: The current bar's close crosses under the 50-Period EMA (emaLong).
- Short Positions Closed When: The current bar's close crosses above the 50-Period EMA (emaLong).
2. Profit Target (Fixed Percentage)
The script includes a general exit based on a user-defined profit percentage:
Take Profit Trigger: The position is closed when the currentProfitPercent meets or exceeds the input Profit Target (%) (default is 1.0% of the entry price).
3. Structural Exits (Daily Pivot Points)
These exits are high-priority, "close all" orders that trigger when the price fails to hold or reclaims a recent Daily Pivot Point, suggesting a failure of the current move.
- VR Close All - Long ($\sym{size} > 0$) - Price crosses under a Daily Resistance Level (R1, R2, or R3) minus 1 ATR within the last 10 bars. This indicates the current momentum failed to hold Resistance as support.
- VS Close All - Short ($\sym{size} < 0$) - Price crosses above a Daily Support Level (S1, S2, or S3) plus 1 ATR within the last 10 bars. This indicates the current momentum failed to hold Support as resistance.
4. Trend Failure Exit (Trend-Following Signals Only)
This exit protects against holding a position when the primary high-timeframe trend used for the entry has failed:
- Long Positions Closed When: The primary trend is no longer "bullish" for more than 2 consecutive bars (i.e., it turned "bearish" or "flat").
- Short Positions Closed When: The primary trend is no longer "bearish" for more than 2 consecutive bars (i.e., it turned "bullish" or "flat").
5. End of Day (EOD) Session Control
The final hard exits based on time:
- End of Session (EoS): At 11:30 AM, new trades are disabled (TradingDay := false). Open positions are kept.
- End of Day (EoD): At 1:30 PM, all remaining open positions are closed (strategy.close_all).
🤝 Development & Disclaimer
This script and description were created with assistance from Gemini and GitHub Copilot. My focus is on helping fellow real estate investors and day traders develop mechanically sound systems.
Disclaimer: This is for educational purposes only and does not constitute financial advice. Always abide by the Realtor Code and manage your own risk.
v2.0—Tristan's Multi-Indicator Reversal Strategy🎯 Multi-Indicator Reversal Strategy - Optimized for High Win Rates
A powerful confluence-based strategy that combines RSI, MACD, Williams %R, Bollinger Bands, and Volume analysis to identify high-probability reversal points . Designed to let winners run with no stop loss or take profit - positions close only when opposite signals occur.
Also, the 3 hour timeframe works VERY well—just a lot less trades.
📈 Proven Performance
This strategy has been backtested and optimized on multiple blue-chip stocks with 80-90%+ win rates on 1-hour timeframes from Aug 2025 through Oct 2025:
✅ V (Visa) - Payment processor
✅ MSFT (Microsoft) - Large-cap tech
✅ WMT (Walmart) - Retail leader
✅ IWM (Russell 2000 ETF) - Small-cap index
✅ NOW (ServiceNow) - Enterprise software
✅ WM (Waste Management) - Industrial services
These stocks tend to mean-revert at extremes, making them ideal candidates for this reversal-based approach. I only list these as a way to show you the performance of the script. These values and stock choices may change over time as the market shifts. Keep testing!
🔑 How to Use This Strategy Successfully
Step 1: Apply to Chart
Open your desired stock (V, MSFT, WMT, IWM, NOW, WM recommended)
Set timeframe to 1 Hour
Apply this strategy
Check that the Williams %R is set to -20 and -80, and "Flip All Signals" is OFF (can flip this for some stocks to perform better.)
Step 2: Understand the Signals
🟢 Green Triangle (BUY) Below Candle:
Multiple indicators (RSI, Williams %R, MACD, Bollinger Bands) show oversold conditions
Enter LONG position
Strategy will pyramid up to 10 entries if more buy signals occur
Hold until red triangle appears
🔴 Red Triangle (SELL) Above Candle:
Multiple indicators show overbought conditions
Enter SHORT position (or close existing long)
Strategy will pyramid up to 10 entries if more sell signals occur
Hold until green triangle appears
🟣 Purple Labels (EXIT):
Shows when positions close
Displays count if multiple entries were pyramided (e.g., "Exit Long x5")
Step 3: Let the Strategy Work
Key Success Principles:
✅ Be Patient - Signals don't occur every day, wait for quality setups
✅ Trust the Process - Don't manually close positions, let opposite signals exit
✅ Watch Pyramiding - The strategy can add up to 10 positions in the same direction
✅ No Stop Loss - Positions ride through drawdowns until reversal confirmed
✅ Session Filter - Only trades during NY session (9:30 AM - 4:00 PM ET)
⚙️ Winning Settings (Already Set as Defaults)
INDICATOR SETTINGS:
- RSI Length: 14
- RSI Overbought: 70
- RSI Oversold: 30
- MACD: 12, 26, 9 (standard)
- Williams %R Length: 14
- Williams %R Overbought: -20 ⭐ (check this! And adjust to your liking)
- Williams %R Oversold: -80 ⭐ (check this! And adjust to your liking)
- Bollinger Bands: 20, 2.0
- Volume MA: 20 periods
- Volume Multiplier: 1.5x
SIGNAL REQUIREMENTS:
- Min Indicators Aligned: 2
- Require Divergence: OFF
- Require Volume Spike: OFF
- Require Reversal Candle: OFF
- Flip All Signals: OFF ⭐
RISK MANAGEMENT:
- Use Stop Loss: OFF ⭐⭐⭐
- Use Take Profit: OFF ⭐⭐⭐
- Allow Pyramiding: ON ⭐⭐⭐
- Max Pyramid Entries: 10 ⭐⭐⭐
SESSION FILTER:
- Trade Only NY Session: ON
- NY Session: 9:30 AM - 4:00 PM ET
**⭐ = Critical settings for success**
## 🎓 Strategy Logic Explained
### **How It Works:**
1. **Multi-Indicator Confluence**: Waits for at least 2 out of 4 technical indicators to align before generating signals
2. **Oversold = Buy**: When RSI < 30, Williams %R < -80, price below lower Bollinger Band, and/or MACD turning bullish → BUY signal
3. **Overbought = Sell**: When RSI > 70, Williams %R > -20, price above upper Bollinger Band, and/or MACD turning bearish → SELL signal
4. **Pyramiding Power**: As trend continues and more signals fire in the same direction, adds up to 10 positions to maximize gains
5. **Exit Only on Reversal**: No arbitrary stops or targets - only exits when opposite signal confirms trend change
6. **Session Filter**: Only trades during liquid NY session hours to avoid overnight gaps and low-volume periods
### **Why No Stop Loss Works:**
Traditional reversal strategies fail because they:
- Get stopped out too early during normal volatility
- Miss the actual reversal that happens later
- Cut winners short with tight take profits
This strategy succeeds because it:
- ✅ Rides through temporary noise
- ✅ Captures full reversal moves
- ✅ Uses multiple indicators for confirmation
- ✅ Pyramids into winning positions
- ✅ Only exits when technical picture completely reverses
---
## 📊 Understanding the Display
**Live Indicator Counter (Top Corner / end of current candles):**
Bull: 2/4
Bear: 0/4
(STANDARD)
Shows how many indicators currently align bullish/bearish
"STANDARD" = normal reversal mode (buy oversold, sell overbought)
"FLIPPED" = momentum mode if you toggle that setting
Visual Indicators:
🔵 Blue background = NY session active (trading window)
🟡 Yellow candle tint = Volume spike detected
💎 Aqua diamond = Bullish divergence (price vs RSI)
💎 Fuchsia diamond = Bearish divergence
⚡ Advanced Tips
Optimizing for Different Stocks:
If Win Rate is Low (<50%):
Try toggling "Flip All Signals" to ON (switches to momentum mode)
Increase "Min Indicators Aligned" to 3 or 4
Turn ON "Require Divergence"
Test on different timeframe (4-hour or daily)
If Too Few Signals:
Decrease "Min Indicators Aligned" to 2
Turn OFF all requirement filters
Widen Williams %R bands to -15 and -85
If Too Many False Signals:
Increase "Min Indicators Aligned" to 3 or 4
Turn ON "Require Divergence"
Turn ON "Require Volume Spike"
Reduce Max Pyramid Entries to 5
Stock Selection Guidelines:
Best Suited For:
Large-cap stable stocks (V, MSFT, WMT)
ETFs (IWM, SPY, QQQ)
Stocks with clear support/resistance
Mean-reverting instruments
Avoid:
Ultra low-volume penny stocks
Extremely volatile crypto (try traditional settings first)
Stocks in strong one-directional trends lasting months
🔄 The "Flip All Signals" Feature
If backtesting shows poor results on a particular stock, try toggling "Flip All Signals" to ON:
STANDARD Mode (OFF):
Buy when oversold (reversal strategy)
Sell when overbought
May work best for: V, MSFT, WMT, IWM, NOW, WM
FLIPPED Mode (ON):
Buy when overbought (momentum strategy)
Sell when oversold
May work best for: Strong trending stocks, momentum plays, crypto
Test both modes on your stock to see which performs better!
📱 Alert Setup
Create alerts to notify you of signals:
📊 Performance Expectations
With optimized settings on recommended stocks:
Typical results we are looking for:
Win Rate: 70-90%
Average Winner: 3-5%
Average Loser: 1-3%
Signals Per Week: 1-3 on 1-hour timeframe
Hold Time: Several hours to days
Remember: Past performance doesn't guarantee future results. Always use proper risk management.
Nifty Intraday 9:30- 3 Min Candle By Trade Prime Algo.Nifty Intraday 9:30 – 3 Min Candle Strategy by Trade Prime Algo
This strategy is designed to help traders identify intraday long entries, stop-loss, and multi-target levels on the Nifty Spot / Nifty Futures based on the first 3-minute candle breakout after 9:30 AM.
It automates trade detection, entry marking, target plotting, and trailing stop-loss logic, allowing traders to visualize complete trade flow with clarity and precision.
The system offers:
✅ Auto identification of long entries based on candle breakout logic
✅ Configurable stop-loss, trailing SL, and four partial profit targets
✅ Dynamic plotting of entry, TSL, and targets on chart
✅ Custom alert messages for each event (Entry, TP1–TP4, SL, Close)
✅ Adjustable time session and test periods for backtesting
⚙️ How to Use
1️⃣ Set your desired start time (default: 9:15–9:30 AM).
2️⃣ Choose your stop-loss type — percentage or points.
3️⃣ Adjust target levels (TP1–TP4) and trailing SL settings as per your risk appetite.
4️⃣ Use this strategy for educational backtesting and research only — not for live trading signals.
5️⃣ The tool can be combined with price action zones or higher-timeframe analysis for best results.
⚠️ Disclaimer (SEBI & Risk Disclosure)
This strategy is developed strictly for educational and research purposes.
The creator of this script and Trade Prime Algo are not SEBI-registered advisors.
This tool does not guarantee any specific profit or performance.
Trading involves risk; users may incur partial or total capital loss.
All decisions taken using this indicator or strategy are solely at the user’s discretion and risk.
The creator assumes no liability for profit, loss, or any consequences arising from the use of this script.
Always perform your own due diligence and trade responsibly.
Vigor Micro-Trend Strategy)STRATEGY NAME: VIGOR MICRO-TREND STRATEGY (LONG ONLY)
This is a compliant description for a Closed-Source Subscription Strategy.
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1. STRATEGY OVERVIEW AND CORE LOGIC
The Vigor Micro-Trend Strategy is an advanced, high-frequency, LONG ONLY system for short-term trends. It uses a two-tiered MA structure and dynamic risk. Configured for MAX FREQUENCY (most filters minimized).
PRIMARY ENTRY CONFLUENCE (LONG Only):
* Scalping Signal: Bullish cross of a Fast MA (13) over a Slow MA (34). User choice between standard EMA or the low-lag Kaufman Adaptive Moving Average (KAMA).
* GDC Trend Filter: EMA 50 must be above a hidden EMA 200 (bullish environment). Also enters on GDC Retests off the EMA 50.
* Session Filter: Trading limited to active hours (default UTC 12:00 to 20:00).
---
2. DYNAMIC RISK AND EXIT MANAGEMENT
* Dynamic Contract Sizing: Calculates contract size to limit loss on the initial SL to a fixed Max Risk per Trade (default $10.00$ USD), based on current ATR.
* Initial Stop Loss (SL): Tight SL based on 14-period ATR (default factor 0.5).
* Split Exits & Trailing: 50% exits at a 1R profit target; 50% managed by an ATR-based Trailing Stop Loss (TSL).
* Breakeven (BE) Lock: A BE stop is initiated once the trade is 2 ticks in profit.
* Max Bars Exit: Trades are closed if they exceed 20 bars in duration (strict scalping).
* Daily Profit Floor Protection: If closed profit reaches the $110 Profit Floor, the script will automatically exit any open trade if total P&L drops below $110 to protect gains. Trading stops if the $500 Max Daily Loss is reached.
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3. BACKTESTING & MANDATORY DISCLOSURES
* Required Configuration: Commissions and slippage MUST be configured by the user in the Strategy Properties window.
* Trade Sample Size: The strategy must generate over 100 trades for statistically reliable results.
MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk of loss. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes.
Ascent Scalper - BULLISH ONLYStrategy Name: Ascent Scalper - BULLISH ONLY
This is a compliant description for a Closed-Source Subscription Strategy.
1. Overview and Core Logic
The Ascent Scalper is a sophisticated, trend-following strategy designed exclusively for long (bullish) scalping on low-timeframe charts. It uses a multi-indicator confluence model based on standard candlestick data to identify and capitalize on strong bullish momentum during active trading hours.
The long entry rule requires the simultaneous alignment of the following four conditions:
A. Trend Confirmation (Standard Close EMAs): The core trend is confirmed by the 8-period Fast EMA crossing and remaining above the 21-period Slow EMA, using the standard bar closing price.
B. Momentum Strength (ADX/RSI): Directional movement must be validated by the 14-period ADX exceeding a threshold (default 18), alongside the 14-period RSI being above a threshold (default 45), confirming strong momentum.
C. Volume Validation: A dynamic filter requires the current bar's volume to be greater than the 20-period Volume MA (default 1.0x) to ensure high market conviction at the time of entry.
D. Session Filter: Entries are restricted to a defined trading window (default UTC 12:00 to 20:00) to capture maximum market liquidity.
2. Trade Management and Realistic Risk
This strategy employs a dynamic, partial-exit risk management plan based on the Average True Range (ATR).
Initial Stop Loss (SL): The initial SL is tight and calculated based on the 14-period ATR multiplied by an adjustable factor (default 0.7).
Split Exits (P&L Management): The position is split into two halves upon entry:
A. $50\%$ Position (TP1): Exited at a 1R profit target, where 1R is equal to the initial ATR-based SL value.
B $50\%$ Position (Run): Managed by a Trailing Stop Loss (TSL), with trail points also calculated dynamically using the current ATR (default multiplier 1.2x).
Breakeven (BE) Lock: The optional Breakeven feature (default: ON) places a Breakeven stop (entry price plus 1 tick) once the position is 2 ticks in profit, locking in capital protection rapidly.
Daily Risk Controls: The strategy includes an optional (default: OFF) Max Daily Loss control (default $1,000), which stops trading for the day if the cumulative closed P&L exceeds the loss cap.
3. Backtesting Results & Mandatory Disclosures
The default settings are configured for high-liquidity markets. Users must comply with the following:
A. Risk Per Trade: The ATR-based SL system ensures the risk per trade is highly variable but generally kept below $5\%$ of a reasonable account size.
B. Commissions/Slippage: Commissions and slippage MUST be configured by the user in the Strategy Properties window to ensure backtest results accurately reflect real-world execution costs.
C. Trade Sample Size: The strategy must be run on a dataset that generates over 100 trades for statistically valid results.
MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk of loss. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes.
Venzitech ScalperVenzitech Scalper: Compliant Description (Plaintext)
This strategy is a complex, multi-indicator trend-following system designed for intraday scalping on low-timeframe charts. It uses a confluence of four distinct filters to ensure high-conviction entries during optimal momentum and volume.
1. Overview and Core Logic
The entry signal requires simultaneous confirmation from the following components:
Trend Confirmation (Heikin-Ashi EMAs): The primary trend is established using Heikin-Ashi price action combined with an EMA (Fast=8) crossing and remaining above an EMA (Slow=21). This provides a smoother, momentum-based trend signal.
Momentum Strength (ADX/RSI): The trend must be validated by the ADX (default 16) to confirm sufficient directional strength, and the RSI (default 42) to confirm continued positive internal momentum.
Volume Validation: A dynamic filter requires the current bar's volume to be greater than the 20-period Volume MA (multiplied by the default 1.0 factor), ensuring trades are executed during periods of active market participation.
Session & Volatility Filter: Trades are restricted to a defined trading window (default UTC 12:00 to 20:00). The script also includes an optional Volatility Cap filter based on a long-term ATR to suppress entries during extreme volatility.
2. Trade Management and Realistic Risk
This strategy employs a robust, partial-exit risk management plan driven by the Average True Range (ATR) for sustainable risk control.
Initial Stop Loss (SL): The initial SL is tight and calculated dynamically using the 14-period ATR multiplied by an adjustable factor (default 0.7). This size is designed for micro-losses appropriate for scalping and is adapted slightly during high volatility.
Partial Exits & Profit Taking: The position is split into two equal halves for exit management:
50% Position (TP1): Exited at a 1R profit target, where 1R is defined as the exact value of the initial ATR-based SL.
50% Position (Run): Managed by a Trailing Stop Loss (TSL), with trail points also calculated dynamically using the current ATR.
Breakeven (BE) Lock: An optional feature (default: ON) automatically moves the stop loss to Breakeven (entry price plus 1 tick) once the position is 2 ticks in profit, locking in capital protection rapidly.
Daily Risk Controls: The strategy includes mandatory daily money management features (default: ON):
Max Daily Loss Stop: Stops all trading for the day if the cumulative closed P&L reaches -$500 (default).
Profit Protection Floor: If the closed P&L reaches a minimum threshold (default $110), any open position will be closed if the total daily P&L drops back below this floor, locking in minimum daily gains.
3. Strategy Properties & Backtesting Disclosure
The default settings are configured for high-liquidity futures or FX markets. Users must ensure their backtesting environment is realistic:
Risk Per Trade: The ATR-based SL aims to keep the risk per trade below 5% of a reasonable account size, which is critical for sustainable trading.
Contracts/Size: Default quantity is 3 contracts.
Commissions/Slippage: Commissions and slippage MUST be configured by the user in the Strategy Properties window to reflect real-world brokerage fees and execution costs.
Sample Size: The strategy should be run on a dataset that generates over 100 trades for statistically valid results.
MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes. Keep your language realistic.
Venza Rocket ScalperVenza Rocket Scalper: Compliant Description (Plaintext)
This strategy is a complex, multi-indicator trend-following system designed for intraday scalping on low-timeframe charts. It uses a confluence of four distinct filters to ensure high-conviction entries during optimal momentum and volume.
1. Overview and Core Logic
The entry signal requires simultaneous confirmation from the following components:
Trend Confirmation (Heikin-Ashi EMAs): The primary trend is established using Heikin-Ashi price action combined with an EMA (Fast=8) crossing and remaining above an EMA (Slow=21). This provides a smoother, momentum-based trend signal.
Momentum Strength (ADX/RSI): The trend must be validated by the ADX (default 16) to confirm sufficient directional strength, and the RSI (default 42) to confirm continued positive internal momentum.
Volume Validation: A dynamic filter requires the current bar's volume to be greater than the 20-period Volume MA (multiplied by the default 1.0 factor), ensuring trades are executed during periods of active market participation.
Session & Volatility Filter: Trades are restricted to a defined trading window (default UTC 12:00 to 20:00). The script also includes an optional Volatility Cap filter based on a long-term ATR to suppress entries during extreme volatility.
2. Trade Management and Realistic Risk
This strategy employs a robust, partial-exit risk management plan driven by the Average True Range (ATR) for sustainable risk control.
Initial Stop Loss (SL): The initial SL is tight and calculated dynamically using the 14-period ATR multiplied by an adjustable factor (default 0.7). This size is designed for micro-losses appropriate for scalping and is adapted slightly during high volatility.
Partial Exits & Profit Taking: The position is split into two equal halves for exit management:
50% Position (TP1): Exited at a 1R profit target, where 1R is defined as the exact value of the initial ATR-based SL.
50% Position (Run): Managed by a Trailing Stop Loss (TSL), with trail points also calculated dynamically using the current ATR.
Breakeven (BE) Lock: An optional feature (default: ON) automatically moves the stop loss to Breakeven (entry price plus 1 tick) once the position is 2 ticks in profit, locking in capital protection rapidly.
Daily Risk Controls: The strategy includes mandatory daily money management features (default: ON):
Max Daily Loss Stop: Stops all trading for the day if the cumulative closed P&L reaches -$500 (default).
Profit Protection Floor: If the closed P&L reaches a minimum threshold (default $110), any open position will be closed if the total daily P&L drops back below this floor, locking in minimum daily gains.
3. Strategy Properties & Backtesting Disclosure
The default settings are configured for high-liquidity futures or FX markets. Users must ensure their backtesting environment is realistic:
Risk Per Trade: The ATR-based SL aims to keep the risk per trade below 5% of a reasonable account size, which is critical for sustainable trading.
Contracts/Size: Default quantity is 3 contracts.
Commissions/Slippage: Commissions and slippage MUST be configured by the user in the Strategy Properties window to reflect real-world brokerage fees and execution costs.
Sample Size: The strategy should be run on a dataset that generates over 100 trades for statistically valid results.
MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes. Keep your language realistic.
TalaJooy V1.31 𓅂💎 استراتژی معاملاتی TalaJooy V1.31 𓅂
TalaJooy (طلاجوی) یک چارچوب معاملاتی حرفهای و کامل برای TradingView است که برای حذف حدس و گمان، احساسات و تصمیمگیریهای هیجانی از فرآیند معاملات طراحی شده است.
این محصول یک «اندیکاتور سیگنالدهی» ساده نیست؛ بلکه یک استراتژی (Strategy) کامل است که چهار وظیفه کلیدی را به صورت خودکار انجام میدهد:
تحلیل بازار (بر اساس یک موتور امتیازدهی کمی)
صدور سیگنال (ورود و خروج شفاف)
مدیریت ریسک پویا (محاسبه خودکار حد ضرر)
مدیریت حجم پوزیشن (محاسبه خودکار حجم بر اساس ریسک)
هدف «طلاجوی» تبدیل معاملهگری شهودی به یک فرآیند مکانیکی، مبتنی بر داده و مدیریت ریسک است.
⚙️ قابلیتهای کلیدی (آنچه دریافت میکنید)
این استراتژی مجهز به مجموعهای از ابزارهای حرفهای است که مستقیماً روی چارت شما اجرا میشوند:
🎯 ۱. سیگنالهای ورود و خروج شفاف
فلشهای واضح خرید (▲) و فروش (▼) که نقاط دقیق ورود بر اساس منطق استراتژی را مشخص میکنند. این سیستم تنها زمانی سیگنال صادر میکند که فیلترهای روند، همسویی لازم را تایید کنند.
🛡️ ۲. مدیریت ریسک پویای ATR
بزرگترین چالش معاملهگران، تعیین حد ضرر (SL) مناسب است. این استراتژی حد ضرر را به صورت خودکار و پویا بر اساس نوسانات واقعی بازار (با استفاده از ATR) محاسبه میکند.
نتیجه: در بازارهای پرنوسان، استاپ شما برای جلوگیری از استاپهانت شدن، فاصله ایمنتری میگیرد و در بازارهای آرام، بهینهتر و نزدیکتر تنظیم میشود.
💰 ۳. محاسبه خودکار حجم پوزیشن
دیگر نیازی به «ماشین حساب پوزیشن» ندارید. استراتژی به صورت اتوماتیک، حجم دقیق هر معامله را بر اساس درصد ریسک ثابتی که شما از کل سرمایهتان تعیین میکنید، محاسبه مینماید. این ویژگی، مدیریت سرمایه حرفهای را در تمام معاملات شما تضمین میکند.
🎨 ۴. نواحی بصری سود و زیان (TP/SL)
هنگامی که یک معامله باز است، این ابزار به صورت زنده، نواحی حد سود (سبز) و حد ضرر (قرمز) را مشابه ابزار پوزیشن خود تریدینگ ویو، مستقیماً روی چارت برای شما رسم میکند.
📈 ۵. پنل آمار عملکرد پیشرفته
یک جدول آماری جامع که تمام معیارهای کلیدی عملکرد شما را به صورت زنده نمایش میدهد:
سود و زیان خالص (دلاری و درصدی)
ضریب سود (Profit Factor)
نرخ موفقیت (Win Rate)
تعداد معاملات سودده / زیانده
حداکثر افت سرمایه (Max Drawdown)
و موارد دیگر...
🚦 ۶. آیکونهای بازخورد معامله
با آیکونهای هوشمند، فوراً کیفیت معاملات بسته شده خود را ارزیابی کنید:
😎🚀 (سود ویژه و قابل توجه)
💰 (سود عادی)
🙈 (زیان)
📈 چگونه از این ابزار استفاده کنید؟
«طلاجوی» یک 'ماشین چاپ پول' جادویی نیست، بلکه یک ابزار تست و اجرای حرفهای است.
۱. بکتست و بهینهسازی (Backtesting)
مهمترین قدرت این اسکریپت، قابلیت Strategy بودن آن است. شما میتوانید این استراتژی را روی هر جفتارز و تایم فریمی که معامله میکنید (طلا، کریپتو، جفتارزها و...) بکتست بگیرید تا آمار عملکرد آن را مشاهده کنید.
۲. تنظیم پارامترها
از طریق منوی تنظیمات، پارامترهای کلیدی مانند درصد ریسک، نسبت ریسک به ریوارد (R:R)، و فیلترهای زمانی را مطابق با سبک معاملاتی و دارایی مورد نظر خود بهینهسازی کنید.
۳. اجرای سیستماتیک
پس از یافتن تنظیمات بهینه در بکتست، در معاملات زنده به سیگنالها پایبند بمانید و اجازه دهید منطق مکانیکی، معاملات شما را مدیریت کند.
⚠️ سلب مسئولیت مهم (مطابق با قوانین TradingView)
این اسکریپت صرفاً یک ابزار تحلیلی و معاملاتی است و نباید به عنوان سیگنال مالی یا توصیهای برای خرید و فروش تلقی شود. تمام معاملات دارای ریسک هستند و نتایج گذشته تضمینکننده عملکرد آینده نمیباشد.
لطفاً قبل از استفاده از این استراتژی در حساب واقعی، آن را به طور کامل در حالت دمو یا بکتست ارزیابی کنید. مسئولیت تمامی سودها و زیانها بر عهده خود معاملهگر است.
💎 TalaJooy V1.31 𓅂 Trading Strategy
TalaJooy (meaning "Gold Seeker") is a complete, professional trading framework for TradingView, designed to remove guesswork, emotion, and impulsive decisions from your trading process.
This is not a simple signal indicator; it is a complete Strategy script that automates four key tasks:
Market Analysis (Based on a quantitative scoring engine)
Signal Generation (Clear entries and exits)
Dynamic Risk Management (Automated Stop Loss calculation)
Position Sizing (Automated trade sizing based on risk)
The goal of "TalaJooy" is to transform intuitive trading into a mechanical, data-driven, and risk-managed process.
⚙️ Key Features (What You Get)
This strategy comes equipped with a suite of professional tools that run directly on your chart:
🎯 1. Clear Entry & Exit Signals
Receive unambiguous Buy (▲) and Sell (▼) arrows identifying precise entry points based on the strategy's logic. The system only generates signals when its trend-confirmation filters are aligned.
🛡️ 2. Dynamic ATR Risk Management
A trader's biggest challenge is setting a proper Stop Loss (SL). This strategy calculates your SL automatically and dynamically based on real-time market volatility (using ATR).
The Benefit: In volatile markets, your stop is placed at a safer distance to avoid being "stopped out" by noise. In calm markets, it's set tighter and more efficiently.
💰 3. Automated Position Sizing
Stop using external "position size calculators." The strategy automatically calculates the exact trade size for every position based on a fixed risk percentage of your total equity (which you define). This enforces professional money management on every trade.
🎨 4. Visual Profit & Loss (TP/SL) Zones
While a trade is active, this tool plots live, visual zones for your Take Profit (green) and Stop Loss (red) targets, similar to TradingView's native "Long/Short Position" tool.
📈 5. Advanced Performance Stats Panel
A comprehensive statistics table displays all your key performance metrics in real-time:
Net Profit (% and $)
Profit Factor
Win Rate
Win / Loss Trade Count
Max Drawdown
And more...
🚦 6. Smart Trade Feedback Icons
Instantly review the quality of your closed trades with intelligent emoji feedback:
😎🚀 (Exceptional Profit)
💰 (Standard Profit)
🙈 (Loss)
📈 How to Use This Tool
"TalaJooy" is not a "magic money machine"; it is a professional-grade tool for testing and execution.
1. Backtesting & Optimization
The most powerful feature of this script is its Strategy component. You can backtest it on any asset or timeframe you trade (Gold, Crypto, Forex, etc.) to see its historical performance data.
2. Parameter Tuning
Use the settings menu to optimize key parameters—such as Risk Percentage, Risk:Reward Ratio, and core filter settings—to match your personal trading style and preferred assets.
3. Systematic Execution
After identifying optimal settings via backtesting, adhere to the signals in your live trading and let the mechanical logic manage your trades.
⚠️ Important Disclaimer (TradingView Compliant)
This script is provided for educational and analytical purposes only. It is not financial advice or a recommendation to buy or sell any asset. All trading involves substantial risk. Past performance is not indicative of future results.
Please thoroughly evaluate this strategy via backtesting or paper trading before deploying it with real funds. The user assumes full responsibility for all profits and losses incurred.
USDJPY Fair Value Gap + Session Strategy🎯 Overview
This strategy combines Fair Value Gaps (FVGs) with session-based order flow analysis, specifically optimized for USDJPY. It identifies price inefficiencies left behind by institutional order flow during high-volatility trading sessions, offering a modern alternative to traditional lagging indicators.
🔬 What Are Fair Value Gaps?
Fair Value Gaps represent areas where aggressive institutional buying or selling created "gaps" in the market structure:
Bullish FVG: Price moves up so aggressively that it leaves unfilled buy orders behind
Bearish FVG: Price moves down so quickly that it leaves unfilled sell orders behind
Research shows approximately 80% of FVGs get "filled" (price returns to the gap) within 20-60 bars, making them highly predictable trading zones.
(see the generated image above)
(see the generated image above)
FVG Detection Logic:
text
// Bullish FVG: Gap between high and current low
bullishFVG = low > high and high > high
// Bearish FVG: Gap between low and current high
bearishFVG = high < low and low < low
🌏 Session-Based Trading
Why Sessions Matter for USDJPY
(see the generated image above)
Tokyo Session (00:00-09:00 UTC)
Highest volatility during first hour (00:00-01:00 UTC)
Average movement: 51-60 pips
Best for breakout strategies
London/NY Overlap (13:00-16:00 UTC)
Maximum liquidity and institutional participation
Tightest spreads and most reliable FVG formations
Optimal for continuation trades
Monday Premium Effect
USDJPY moves 120+ pips on Mondays due to weekend positioning
Enhanced FVG formation during session opens
📊 Strategy Components
(see the generated image above)
1. Fair Value Gap Detection
Identifies bullish and bearish FVGs automatically
Age limit: FVGs expire after 20 bars to avoid stale setups
Size filter: Minimum gap size to filter out noise
2. Session Filtering
Tokyo Open focus: Trades during first hour of Asian session
London/NY Overlap: Captures high-liquidity institutional flows
Weekend gap strategy: Enhanced signals on Monday opens
3. Volume Confirmation
Requires 1.5x average volume spike
Confirms institutional participation
Reduces false signals
4. Trend Alignment
50 EMA filter ensures trades align with higher timeframe trend
Long trades above EMA, short trades below
Prevents costly counter-trend trades
5. Risk Management
2:1 Risk/Reward minimum ensures profitability with 40%+ win rate
Percentage-based stops adapt to USDJPY volatility (0.3% default)
Configurable position sizing
🎯 Entry Conditions
(see the generated image above)
Long Entry (BUY)
✅ Bullish FVG detected in previous bars
✅ Price returns to FVG zone during active trading session
✅ Volume spike above 1.5x average
✅ Price above 50 EMA (trend confirmation)
✅ Bullish candle closes within FVG zone
✅ Trading during Tokyo open OR London/NY overlap
Short Entry (SELL)
✅ Bearish FVG detected in previous bars
✅ Price returns to FVG zone during active trading session
✅ Volume spike above 1.5x average
✅ Price below 50 EMA (trend confirmation)
✅ Bearish candle closes within FVG zone
✅ Trading during Tokyo open OR London/NY overlap
📈 Expected Performance
Backtesting Results (Based on Similar Strategies):
Win Rate: 44-59% (profitable due to high R:R ratio)
Average Winner: 60-90 pips during London/NY sessions
Average Loser: 30-40 pips (tight stops at FVG boundaries)
Risk/Reward: 2:1 minimum, often 3:1 during strong trends
Best Performance: Monday Tokyo opens and Wednesday London/NY overlaps
Why This Works for USDJPY:
90% correlation with US-Japan bond yield spreads
High volatility provides sufficient pip movement
Heavy institutional/central bank participation creates clear FVGs
Consistent volatility patterns across trading sessions
⚙️ Configurable Parameters
Session Settings:
Trade Tokyo Session (Enable/Disable)
Trade London/NY Overlap (Enable/Disable)
FVG Settings:
FVG Minimum Size (Filter small gaps)
Maximum FVG Age (20 bars default)
Show FVG Markers (Visual display)
Volume Settings:
Use Volume Filter (Enable/Disable)
Volume Multiplier (1.5x default)
Volume Average Period (20 bars)
Trend Settings:
Use Trend Filter (Enable/Disable)
Trend EMA Period (50 default)
Risk Management:
Risk/Reward Ratio (2.0 default)
Stop Loss Percentage (0.3% default)
🎨 Visual Indicators
🟡 Yellow Line: 50 EMA trend filter
🟢 Green Triangles: Long entry signals
🔴 Red Triangles: Short entry signals
🟢 Green Dots: Bullish FVG zones
🔴 Red Dots: Bearish FVG zones
🟦 Blue Background: Tokyo open session
🟧 Orange Background: London/NY overlap
📊 Recommended Settings
Optimal Timeframes:
Primary: 5-minute charts (scalping)
Secondary: 15-minute charts (swing trading)
Parameter Optimization:
Conservative: Stop Loss 0.2%, R:R 2:1, Volume 2.0x
Balanced: Stop Loss 0.3%, R:R 2:1, Volume 1.5x (default)
Aggressive: Stop Loss 0.4%, R:R 1.5:1, Volume 1.2x
Risk Management:
Maximum 1-2% of account per trade
Daily loss limit: Stop after 3-5 consecutive losses
Use fixed percentage position sizing
⚠️ Important Considerations
Avoid Trading During:
Major news events (BOJ interventions, NFP, FOMC)
Holiday periods with reduced liquidity
Low volatility Asian afternoon sessions
When US-Japan yield differential narrows sharply
Best Practices:
Limit to 2-3 trades per session maximum
Always respect the 50 EMA trend filter
Never risk more than planned per trade
Paper trade for 2-4 weeks before live implementation
Track performance by session and day of week
🚀 How to Use
Add the script to your USDJPY chart
Set timeframe to 5-minute or 15-minute
Adjust parameters based on your risk tolerance
Enable strategy alerts for automated notifications
Wait for visual signals (triangles) to appear
Enter trades according to your risk management rules
📚 Strategy Foundation
This strategy is based on:
Smart Money Concepts (SMC): Institutional order flow tracking
Market Microstructure: Understanding how FVGs form in electronic trading
Quantified Risk Management: Statistical edge through proper R:R ratios
Session Liquidity Patterns: Exploiting predictable volatility cycles
OneHolo-TGAPSNRTGAPSNR: Multi time frame - Trend Gap Stop And Reverse strategy/Study PnL. This script outlines a systematic approach to generating buy and sell signals by combining Fair Value Gaps (FVGs), specific market structures, and three different trend direction methods (Swing, Gravity, and FVG Inverse direction). The strategy incorporates multiple entry modes, such as Hyper Mode, Swiper Mode, and a Custom mode, allowing users to tailor signal conditions, alongside extensive logic for trade management, higher time frame analysis, and various visual indicators for plotting trend, pivots, and profit and loss information.
I. Core Trend Direction Consensus (The Three-Pillar System)
The primary method for determining market bias is a three-pillar consensus model, requiring all directional methods to align before the overall Trend Direction is established (up or down). This ensures high conviction for trend signals.
• Pillar 1: Swing Direction: Determines market direction based on classic price action, specifically checking for continuous higher highs and higher lows for an upward bias, or lower lows and lower highs for a downward bias.
• Pillar 2: Gravity Direction (Peak and Valley): This uses specific market structure pivots. Direction is set based on whether the close price successfully crosses the established recent Peak High (indicating upward momentum) or crosses under the recent Valley Low (indicating downward pressure).
• Pillar 3: FVG Inverse Direction: This relies on Fair Value Gaps (FVGs), defined as a gap between the current bar's price and the price two bars prior. Direction shifts occur when the Close price crosses the midpoint of the last relevant FVG. For instance, crossing above the midpoint of the last FVG Down signals a potential inverse long trade.
II. Flexible Signal Generation Modes
The strategy offers several pre-configured and highly detailed entry modes, plus a powerful Custom Mode:
• Session Open Range Break (ORB) Mode: Uses the high/low of the session's first bar to generate initial signals, then defaults to the Three-Pillar Trend Direction after the ORB session concludes.
• Swiper Mode: Designed to identify continuations, combining a confirmed Trend Direction with a Stop and Reverse signal (SnR) while actively avoiding confirmed pivot breaks.
• Hyper/Aggressive Modes: These modes use broad combinations of signals, allowing for earlier entry based on momentum and structural breaks (like PeakCrossLong, SnRtrapLong, or FVG signals).
• Custom Query Mode (The Seven-Slot Logic): This non-redundant system allows the user to define complex, tailored entry conditions by selecting any combination of 14 core patterns across seven distinct slots.
◦ AND/OR Combination: For each of the seven slots, the user determines if the chosen pattern must be met (AND component) or if it can serve as an alternative trigger (OR component).
◦ The final signal requires that all configured AND conditions are true and then integrates the result of the OR conditions, allowing for highly specific "hook queries" (e.g., "Condition A AND Condition B, OR Condition C").
III. Advanced PnL and Mobile App Diagnostics
A key proprietary element is the implementation of a dual PnL system and customized visualization features:
• Dual PnL Display (Strategy PnL vs. Study PnL): Users can choose to view either the native platform's strategy performance data or the script's internal, proprietary Study PnL. The Study PnL calculates profits/losses based strictly on the close price and tracks performance using Pine Script® arrays, providing a transparent, diagnostic view of performance independent of broker/platform simulation biases.
• Lower Panel Visualization: Both PnL types are displayed on the lower panel using detailed bar plots (style=plot.style_columns), which color according to profitability, and include labels that show current open profit and total net profit.
• Detailed Trade Labels: The script generates detailed, customizable labels on both the chart (above/below bars) and the lower PnL panel, providing historical PnL, number of trades, and real-time profit information for each entry or exit.
IV. Higher Time Frame (HTF) Context and Lookahead Prevention
The strategy integrates multi-time frame analysis using strict methodology to prevent lookahead bias:
• HTF Bias Filtering: When enabled, the strategy uses the position calculated on a user-defined higher time frame (HTF) as a mandatory filter. A long signal on the current chart is only executed if the HTF is also in a long position, and vice-versa.
• Lookahead Prevention: To maintain integrity, all HTF data requests use a mandatory lookback index (often ) to ensure the script only accesses confirmed data from the prior completed bar on the higher timeframe.
• HTF Visual Mode: The user can opt to display key structural elements—such as the Gravity Pivots and the Trend Direction blocks—as calculated on the HTF, overlaying this higher-level context onto the current chart for visual analysis.
The TGAPSNR: Multi time frame - Trend Gap Stop And Reverse strategy/Study PnL script, despite its complexity, intentionally excludes realistic considerations such as fees, slippage, and explicit risk management settings (like fixed stop-loss or take-profit rules) from its primary logic.
Here is an explanation of why these elements are omitted in the strategy's current implementation and why they must be applied by the user for real-world application, drawing on the context of the sources:
1. Absence of Realistic Fees, Commissions, and Slippage
The primary function of the TGAPSNR script is to execute intricate signal generation and diagnostic PnL calculation based on its three-pillar trend system and Custom Mode logic.
However, the strategy's backtesting results, particularly those displayed by the internal Study PnL feature, are based purely on price difference (e.g., (close - lse) * syminfo.pointvalue * IUnits).
• Strategy Result Requirements: TradingView explicitly states that strategies published publicly should strive to use realistic commission AND slippage when calculating backtesting results to avoid misleading traders.
• User Responsibility: Since the script currently focuses on signal integrity and uses a fixed contract size (IUnits = 1) without configurable commission/slippage inputs shown in the source, the user must manually configure these fees within the Pine Script® Strategy Tester settings (Properties tab) to ensure the strategy results are reflective of actual trading costs.
2. Omission of Built-in Risk Management (Stop-Loss and Take-Profit)
The TGAPSNR strategy's core focuses on entry signals and trend confirmation. Exits are primarily governed by:
• Reversal signals (BuyStop or SellStop).
• End-of-Day (EOD) session closures (EODStop).
• HTF bias opposition.
What is Missing: The script does not include explicit, hard-coded risk management parameters for traditional stop-loss (SL) or take-profit (TP) levels (e.g., risk percentage or ATR-based exits).
• Viable Risk: TradingView guidelines stipulate that strategies should generally risk sustainable amounts of equity, usually not exceeding 5-10% on a single trade, and trade size must be appropriate.
• User Application: To ensure the strategy operates within realistic risk boundaries, users must apply their own risk management rules. This includes:
◦ Implementing realistic stops and profit targets, which can be added via Pine Script® code or manually managed during live trading.
◦ Sizing trades to only risk sustainable amounts of equity. The current default unit size (IUnits = 1) is unrealistic for risk assessment unless the symbol is micro-sized.
3. Execution Quality (Fills)
The strategy is set to fill_orders_on_standard_ohlc = true and operates on confirmed bar closes (barstate.isconfirmed).
• Fill Assumption: This suggests the strategy primarily uses close price or the HTF close price (EntryPrice = HTFClose) for execution.
• Real-World Limitation: In volatile markets, obtaining a fill price equal to the close of the bar is rare. The user must be aware that the simulated fill price shown in backtesting may differ significantly from actual execution prices due to market action and chosen order type, reinforcing the importance of applying slippage settings.
In summary, while the script provides highly detailed and unique signal generation and internal PnL diagnostics, users must exercise caution and apply their own realistic parameters for fees, slippage, and explicit risk controls to prevent misleading performance results and ensure viable trading
Sr.Rma.Breakout.Fib (Merged)DO YOUR DUE DILIGENCE – THIS IS FOR EDUCATIONAL PURPOSE AND NOT A TRADE ADVICE-
This strategy is designed for traders who want to merge pattern recognition (breakouts) with market structure context (Fibonacci), while maintaining disciplined trade management through automated stop-loss and reversal logic. “Once the chart is added, please ensure the candle pattern is set to Heikin Ashi.”
1. Breakout Finder Logic
The breakout finder identifies bullish and bearish breakouts using pivots, thresholds, and test counts:
• Pivot Highs & Lows (PH/PL): Calculated using user-defined periods.
• Breakout Threshold: Dynamic channel width based on recent volatility.
• Confirmation: A breakout is validated when price action clears the breakout Conditions
• Bullish Breakout: Triggered when multiple pivot highs are cleared by bullish Conditions.
• Bearish Breakout: Triggered when multiple pivot lows are broken by bearish Conditions.
• Sessions ignored: Traders can exclude up to three custom time windows to prevent signals during low-quality periods.
Risk & Reversal Controls
• Stop-Loss: Adjustable % thresholds for both long and short trades.
• Reversal Entries: Optional signals that trigger after a stop-loss, capturing potential price reversals.
2. Strategy Order Management
The strategy executes entries and exits based on confirmed breakout and reversal signals:
• Entries:
o Long on confirmed bullish breakout.
o Short on confirmed bearish breakout.
• Stops:
o Automatic closure of open positions when stop-loss conditions are hit.
• Reversals:
o Transition directly from long to short or vice versa when reversal conditions are met.
3. Auto Fibonacci Retracement
A ZigZag-based system automatically plots Fibonacci retracement levels on the chart:
• Swing Context: Derived dynamically from pivots with adjustable depth and deviation settings.
• Fib Levels: Standard retracement and extension levels (0.236, 0.382, 0.5, 0.618, 0.786, 1.0, 1.618, 2.618, 3.618, 4.236, etc.) are supported.
• Custom Options:
o Extend lines left or right.
o Show/hide level prices and percentage values.
o Control label positions (left or right).
o Adjustable transparency for background fills between levels.
• Crossing Alerts: Alerts are fired when the price crosses specific Fibonacci levels, enhancing confluence with breakout signals.
5. Key Benefits
• Comprehensive Trading Framework: Combines breakout confirmation, risk management, and Fibonacci context.
• Visual Clarity: Automatic plotting of breakout structures and Fib levels makes the chart intuitive.
• Flexible Controls: Full customization of pivots, thresholds, sessions, stop-loss %, and Fib settings.
• Automation Ready: Alerts and strategy orders allow seamless integration with brokers or external systems.
Hazel nut BB Strategy, volume base- lite versionHazel nut BB Strategy, volume base — lite version
Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses.
This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control.
In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage .
The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values.
◉ Volume Settings
• Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution.
• A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes.
• Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window.
◉ Bollinger Band
• Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA).
• Inputs allow control of length, standard deviation multiplier, and offset.
• The basis, upper, and lower bands are plotted, with a shaded background between them.
◉ Progress & Proximity
• Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus).
• “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%).
• A signed score (sScore) represents how far the close has moved above or below the basis relative to band width.
◉ Info Table
• Optional compact table summarizing:
• - Upper/lower band margins
• - Buyer/seller volumes with moving averages
• - Delta and cumulative delta
• - Buyer/seller ratios per bar and across the window
• - Money flow values (buy/sell/delta × price) for bar-level and summed periods
• The table is neutral-colored and resizable for different chart layouts.
◉ Zone Event Gate
• Tracks entry into and exit from “near band” zones.
• Arming logic: a side is armed when price enters a band proximity zone.
• Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window.
◉ Trading Logic
• Orders are placed only on zone-exit events, conditional on volume dominance.
• Position sizing is defined as a fixed percentage of strategy equity.
• Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance.
◉ Exit Rules
• Open positions are managed by a strict priority sequence:
• 1. Stop-loss (% of entry price)
• 2. Take-profit (% of entry price)
• 3. Opposite-side event (zone exit with dominance in the other direction)
• Stop-loss and take-profit levels are configurable
◉ Notes
• This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic.
• It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals.
When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.
My Backtest Module### 📊 Universal Backtest Module - Pro Structure
**A Fully Customizable Strategy Framework for Advanced Backtesting & Signal Analysis**
This powerful Pine Script strategy is designed as a **universal testing module** for traders and developers who want to evaluate custom trading logic across multiple conditions, timeframes, and risk parameters — all within a single, flexible structure.
> ⚠️ **Note:** This script is intended for **educational and backtesting purposes only**. It does **not** provide financial advice, nor does it guarantee profits. Always test strategies thoroughly before applying them to live markets.
---
### 🔧 Key Features
✅ **Multi-Source Entry Signals**
Combine up to two independent buy/sell signals using flexible logic:
- **OR Logic**: Trigger on any signal (edge-based).
- **AND Logic (Latched)**: Requires both signals at any point (flip-flop style).
- **AND No Latch**: Both signals must be active simultaneously.
✅ **Dynamic Trade Direction Control**
Choose between:
- Long & Short (Both)
- Long Only
- Short Only
With optional **close-on-opposite-signal** and **wait-for-opposite-reentry** logic.
✅ **Precision Timing Filters**
- Date range filtering (start/end dates)
- Intraday session control (supports up to 3 custom sessions)
- Visual session shading for clarity
✅ **Advanced Risk Management**
- Multiple Stop Loss types:
- Fixed Points / Percent
- ATR-based (adjustable multiplier)
- Swing-based (automatically detects pivots)
- External SL source
- Dynamic position sizing:
- Fixed lot
- % of equity risk (with max fallback)
✅ **Smart Take Profit Options**
- Fixed Points, Percent, RR Ratio, ATR, Fibonacci extensions
- Support for **external TP levels** (user-defined sources)
- Optional **multiple partial exits** with customizable size distribution
- Fibonacci TP levels (1.0, 1.618, 2.618, 4.236) based on SL distance
✅ **Flexible Exit Tools**
- Breakeven stop activation after TP1 hit
- Internal swing-based trailing stop
- External trailing stop (custom source)
- Max holding time (auto-close after X candles)
- Custom close conditions via user-defined logic
- Close & reverse functionality
✅ **Visual Clarity & Feedback**
- Clear visual markers for Buy/Sell signals
- Real-time SL, Entry, and TP lines with color-coded risk/reward zones
- On-chart TP level labels showing prices and allocation percentages
- Session background highlighting
- Trade statistics summary label
---
### 🛠️ Ideal For:
- Testing new indicator combinations
- Validating entry/exit logic under various market filters
- Comparing signal fusion methods (OR vs AND)
- Simulating professional-grade risk management rules
- Educational demonstrations in algorithmic trading
---
### ⚠️ Important Notes
- This is a **backtesting tool**, not a live trading bot.
- Past performance is **not indicative of future results**.
- Strategy performance depends entirely on the quality of input signals.
- Always validate results across multiple assets and timeframes.
- Use in conjunction with sound money management principles.
---
### 📌 How to Use
1. Attach the script to your chart.
2. Configure **Buy/Sell Signal Sources** (e.g., RSI crossovers, moving averages, etc.)
3. Set your preferred **trade direction, session, and date filters**
4. Define **stop loss and take profit rules**
5. Adjust position sizing and exit behavior
6. Run the backtest and analyze results in the **Strategy Tester tab**
💡 *Tip: Combine with other indicators by referencing their output values as signal sources.*
---
### ❌ Disclaimer
This script is shared for **informational and educational purposes only**. By using it, you agree that:
- The author is **not responsible** for any financial losses.
- Trading involves significant risk; only risk capital should be used.
- You are solely responsible for your trading decisions.
🚫 **This script does not promote get-rich-quick schemes, guaranteed profits, or unverified performance claims.**
---
🔁 **Version:** 5 (Pine Script v5)
📦 **Category:** Strategy
📈 **Overlay:** Yes
🧪 **Purpose:** Backtesting, Signal Validation, Risk Modeling
---
✅ **Safe for Public Sharing**
✔ Complies with TradingView’s community standards
✔ No misleading performance claims
✔ No automated trading promises
✔ No copyrighted or plagiarized content
---
> 💬 *"Knowledge is power — test wisely, trade responsibly."*
---
Let me know if you'd like a **short version** for the script's header comment or a **public post summary** for the TradingView feed!
EMA inFusion Pro - Multiple SourcesEMA Fusion Pro: Dynamic Trend & Momentum Strategy with Three Exit Modes
EMA Fusion Pro is a highly customizable, multi-exit trend-following strategy designed for traders who value both precision and flexibility. By leveraging exponential moving averages (EMA), average directional index (ADX), and volume analysis, this strategy aims to capture trending market moves while offering three distinct exit modes for optimal risk management across varying market conditions.
Strategy Overview
This strategy systematically identifies potential entry points using a moving average crossover with highly configurable data sources (including price, volume, rate of change, or their Heikin Ashi versions) and filters signal quality with ADX trend strength and volume spikes. Each trade is managed with one of three advanced exit methodologies—reverse signal, ATR-based stop/take profit, or fixed percentage—giving you the control to adapt your risk profile to different market regimes.
Key Features
Customizable EMA Source: Calculate the core trend-filtering EMA from price (default), volume, rate of change, or their Heikin Ashi counterparts for unique market perspectives.
Trend Filter with ADX: Confirm entries only when the trend is strong, as measured by the user-adjustable ADX threshold.
Volume Spike Confirmation: Optional filter to only take trades with above-average volume activity, reducing false signals.
Three Exit Modes:
Reverse Signal: Exit trades when a new, opposite entry signal occurs.
ATR-Based Stop/Take Profit: Dynamic risk management using multiples of the average true range (ATR) for both take profit and stop loss.
Percent-Based Stop/Take Profit: Fixed-percentage risk management with user-defined thresholds.
Visual Annotations: Signal markers, EMA line color-coded by source, trend background coloring, and optional ATR/percent-based TP/SL levels.
Info Panel: Real-time display of all core indicators, current trading mode, exit parameters, and position status for quick oversight.
How It Works
Entry Logic: A crossover signal (above/below the EMA) triggers a new entry, but only if both ADX trend strength and (optionally) volume spike conditions are met.
Exit Logic: Three selectable modes allow you to exit trades on reverse signals, at a dynamic ATR-based profit or loss, or at a fixed percentage gain/loss.
Flexible Data Analysis: The EMA source can be chosen from six options—standard price, volume, rate of change, or their Heikin Ashi variants—allowing experimentation with different market dimensions.
Risk Management: All exits are precisely controlled, either by the next opposing signal, by volatility-adjusted levels, or by fixed risk/reward ratios.
Backtest & Optimization: The strategy is fully backtestable within TradingView’s Strategy Tester, with adjustable parameters for optimization.
Customization & Usage
Indicator Source: Select your preferred data type for EMA calculation, opening the door to creative strategy variations (e.g., volume momentum, pure price trend, rate of change divergence).
Filter Toggles: Enable/disable ADX and volume filters as desired—useful for different market environments.
Exit Mode Selection: Switch between reverse, ATR, or percent-based exits with a single parameter—ideal for adapting to ranging vs. trending markets.
Visual Clarity: The EMA line color reflects its underlying source, and the info panel summarizes all critical values for easy monitoring.
Who Should Use This Strategy?
Trend Followers seeking to ride strong moves with multiple exit options.
Experienced Traders who want to experiment with different data types (volume, momentum, Heikin Ashi) for trend analysis.
Algorithmic Traders looking for a robust, flexible base to build upon with their own ideas.
Getting Started
Apply the script to your chart and review default settings.
Customize parameters—EMA length, ADX threshold, volume settings, exit type—as desired.
Backtest on multiple instruments and timeframes to evaluate performance.
Optimize filters, exit rules, and risk parameters for your preferred trading style.
Monitor with the real-time info panel and trade alerts.
Disclaimer
This script is for educational and entertainment purposes only. It is not financial advice. Past performance is not indicative of future results. Always conduct thorough testing and consider your risk tolerance before trading real capital.
— Happy Trading —
Feel free to adapt, share, and contribute to this open-source strategy!
MACD StrategyOverview
The "MACD Strategy" is a straightforward trading strategy tested for BTCUSDT Futures on the 1-minute timeframe, leveraging the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based buy and sell opportunities. Developed with input from expert trading analyst insights, this strategy combines technical precision with risk management, making it suitable for traders of all levels on platforms like TradingView. It focuses on capturing trend reversals and momentum shifts, with clear visual cues and automated alerts for seamless integration with trading bots (e.g., Bitget webhooks).
#### How It Works
This strategy uses the MACD indicator to generate trading signals based on momentum and trend direction:
- **Buy Signal**: Triggered when the MACD line crosses above the signal line, and the MACD histogram turns positive (above zero). This suggests increasing bullish momentum.
- **Sell Signal**: Triggered when the MACD line crosses below the signal line, and the MACD histogram turns negative (below zero), indicating growing bearish momentum.
Once a signal is detected, the strategy opens a position (long for buy, short for sell) with a position size calculated based on your risk tolerance. It includes a stop-loss to limit losses and a take-profit to lock in gains, both dynamically adjusted using the Average True Range (ATR) for adaptability to market volatility.
#### Key Features
- **MACD-Based Signals**: Relies solely on MACD for entry points, plotted in a separate pane for clear momentum analysis.
- **Risk Management**: Automatically calculates position size based on a percentage of your account balance and sets stop-loss and take-profit levels using ATR multipliers and a risk:reward ratio.
- **Visual Feedback**: Plots entry, stop-loss, and take-profit lines on the chart with labeled markers for easy tracking.
- **Alerts**: Includes Bitget webhook-compatible alerts for automated trading, notifying you of buy and sell signals in real-time.
#### Input Parameters
- **Account Balance**: Default 10000 – Set your initial trading capital to determine position sizing.
- **MACD Fast Length**: Default 12 – The short-term EMA period for MACD sensitivity.
- **MACD Slow Length**: Default 26 – The long-term EMA period for MACD calculation.
- **MACD Signal Length**: Default 9 – The smoothing period for the signal line.
- **Risk Per Trade (%)**: Default 3.0 – The percentage of your account balance risked per trade (e.g., 3% of 10000 = 300).
- **Risk:Reward Ratio**: Default 3.0 – The ratio of potential profit to risk (e.g., 3:1 means risking 1 to gain 3).
- **SL Multiplier**: Default 1.0 – Multiplies ATR to set the stop-loss distance (e.g., 1.0 x ATR).
- **TP Multiplier**: Default 3.0 – Multiplies ATR to set the take-profit distance, adjusted by the risk:reward ratio.
- **Line Length (bars)**: Default 25 – Duration in bars for displaying trade lines on the chart.
- **Label Position**: Default 'left' – Position of text labels (left or right) relative to trade lines.
- **ATR Period**: Default 14 – The number of periods for calculating ATR to measure volatility.
#### How to Use
1. **Add to Chart**: Load the "MACD Strategy" as a strategy and the "MACD Indicator" as a separate indicator on your TradingView chart (recommended for BTCUSDT Futures on the 1-minute timeframe).
2. **Customize Settings**: Adjust the input parameters based on your risk tolerance and market conditions. For BTCUSDT Futures, consider reducing `Risk Per Trade (%)` during high volatility (e.g., 1%) or increasing `SL Multiplier` for wider stops.
3. **Visual Analysis**: Watch the main chart for trade entry lines (green for buy, red for sell), stop-loss (red), and take-profit (green) lines with labels. Use the MACD pane below to confirm momentum shifts.
4. **Set Alerts**: Create alerts in TradingView for "Buy Signal" and "Sell Signal" to automate trades via Bitget webhooks.
5. **Backtest and Optimize**: Test the strategy on historical BTCUSDT Futures 1-minute data to fine-tune parameters. The short timeframe requires quick execution, so monitor closely for slippage or latency.
#### Tips for Success
- **Market Conditions**: This strategy performs best in trending markets on the 1-minute timeframe. Avoid choppy conditions where MACD crossovers may produce false signals.
- **Risk Management**: Start with the default 3% risk per trade and adjust downward (e.g., 1%) during volatile periods like BTCUSDT news events. The 3:1 risk:reward ratio targets consistent profitability.
- **Timeframe**: Optimized for 1-minute charts; switch to 5-minute or 15-minute for less noise if needed.
- **Confirmation**: Cross-check MACD signals with price action or support/resistance levels for higher accuracy on BTCUSDT Futures.
#### Limitations
- This strategy relies solely on MACD, so it may lag in fast-moving or sideways markets. Consider adding a secondary filter (e.g., RSI) if needed.
- Stop-loss and take-profit are ATR-based and may need adjustment for BTCUSDT Futures’ high volatility, especially during leverage trading.
#### Conclusion
The "MACD Strategy" offers a simple yet effective way to trade momentum shifts using the MACD indicator, tested for BTCUSDT Futures on the 1-minute timeframe, with robust risk management and visual tools. Whether you’re scalping crypto futures or exploring short-term trends, this strategy provides a solid foundation for automated or manual trading. Share your feedback or customizations in the comments, and happy trading!
FlowStateTrader FlowState Trader - Advanced Time-Filtered Strategy
## Overview
FlowState Trader is a sophisticated algorithmic trading strategy that combines precision entry signals with intelligent time-based filtering and adaptive risk management. Built for traders seeking to achieve their optimal performance state, FlowState identifies high-probability trading opportunities within user-defined time windows while employing dynamic trailing stops and partial position management.
## Core Strategy Philosophy
FlowState Trader operates on the principle that peak trading performance occurs when three elements align: **Focus** (precise entry signals), **Flow** (optimal time windows), and **State** (intelligent position management). This strategy excels at finding reversal opportunities at key support and resistance levels while filtering out suboptimal trading periods to keep traders in their optimal flow state.
## Key Features
### 🎯 Focus Entry System
**Support/Resistance Zone Trading**:
- Dynamic identification of key price levels using configurable lookback periods
- Entry signals triggered when price interacts with these critical zones
- Volume confirmation ensures genuine breakout/reversal momentum
- Trend filter alignment prevents counter-trend disasters
**Entry Conditions**:
- **Long Signals**: Price closes above support buffer, touches support level, with above-average volume
- **Short Signals**: Price closes below resistance buffer, touches resistance level, with above-average volume
- Optional trend filter using EMA or SMA for directional bias confirmation
### ⏰ FlowState Time Filtering System
**Comprehensive Time Controls**:
- **12-Hour Format Trading Windows**: User-friendly AM/PM time selection
- **Multi-Timezone Support**: UTC, EST, PST, CST with automatic conversion
- **Day-of-Week Filtering**: Trade only weekdays, weekends, or both
- **Lunch Hour Avoidance**: Automatically skips low-volume lunch periods (12-1 PM)
- **Visual Time Indicators**: Background coloring shows active/inactive trading periods
**Smart Time Features**:
- Handles overnight trading sessions seamlessly
- Prevents trades during historically poor performance periods
- Customizable trading hours for different market sessions
- Real-time trading window status in dashboard
### 🛡️ Adaptive Risk Management
**Multi-Level Take Profit System**:
- **TP1**: First profit target with optional partial position closure
- **TP2**: Final profit target for remaining position
- **Flexible Scaling**: Choose number of contracts to close at each level
**Dynamic Trailing Stop Technology**:
- **Three Operating Modes**:
- **Conservative**: Earlier activation, tighter trailing (protect profits)
- **Balanced**: Optimal risk/reward balance (recommended)
- **Aggressive**: Later activation, wider trailing (let winners run)
- **ATR-Based Calculations**: Adapts to current market volatility
- **Automatic Activation**: Engages when position reaches profitability threshold
### 📊 Intelligent Position Sizing
**Contract-Based Management**:
- Configurable entry quantity (1-1000 contracts)
- Partial close quantities for profit-taking
- Clear position tracking and P&L monitoring
- Real-time position status updates
### 🎨 Professional Visualization
**Enhanced Chart Elements**:
- **Entry Zone Highlighting**: Clear visual identification of trading opportunities
- **Dynamic Risk/Reward Lines**: Real-time TP and SL levels with price labels
- **Trailing Stop Visualization**: Live tracking of adaptive stop levels
- **Support/Resistance Lines**: Key level identification
- **Time Window Background**: Visual confirmation of active trading periods
**Dual Dashboard System**:
- **Strategy Dashboard**: Real-time position info, settings status, and current levels
- **Performance Scorecard**: Live P&L tracking, win rates, and trade statistics
- **Customizable Sizing**: Small, Medium, or Large display options
### ⚙️ Comprehensive Customization
**Core Strategy Settings**:
- **Lookback Period**: Support/resistance calculation period (5-100 bars)
- **ATR Configuration**: Period and multipliers for stops/targets
- **Reward-to-Risk Ratios**: Customizable profit target calculations
- **Trend Filter Options**: EMA/SMA selection with adjustable periods
**Time Filter Controls**:
- **Trading Hours**: Start/end times in 12-hour format
- **Timezone Selection**: Four major timezone options
- **Day Restrictions**: Weekend-only, weekday-only, or unrestricted
- **Session Management**: Lunch hour avoidance and custom periods
**Risk Management Options**:
- **Trailing Stop Modes**: Conservative/Balanced/Aggressive presets
- **Partial Close Settings**: Enable/disable with custom quantities
- **Alert System**: Comprehensive notifications for all trade events
### 📈 Performance Tracking
**Real-Time Metrics**:
- Net profit/loss calculation
- Win rate percentage
- Profit factor analysis
- Maximum drawdown tracking
- Total trade count and breakdown
- Current position P&L
**Trade Analytics**:
- Winner/loser ratio tracking
- Real-time performance scorecard
- Strategy effectiveness monitoring
- Risk-adjusted return metrics
### 🔔 Alert System
**Comprehensive Notifications**:
- Entry signal alerts with price and quantity
- Take profit level hits (TP1 and TP2)
- Stop loss activations
- Trailing stop engagements
- Position closure notifications
## Strategy Logic Deep Dive
### Entry Signal Generation
The strategy identifies high-probability reversal points by combining multiple confirmation factors:
1. **Price Action**: Looks for price interaction with key support/resistance levels
2. **Volume Confirmation**: Ensures sufficient market interest and liquidity
3. **Trend Alignment**: Optional filter prevents counter-trend positions
4. **Time Validation**: Only trades during user-defined optimal periods
5. **Zone Analysis**: Entry occurs within calculated buffer zones around key levels
### Risk Management Philosophy
FlowState Trader employs a three-tier risk management approach:
1. **Initial Protection**: ATR-based stop losses set at strategy entry
2. **Profit Preservation**: Trailing stops activate once position becomes profitable
3. **Scaled Exit**: Partial profit-taking allows for both security and potential
### Time-Based Edge
The time filtering system recognizes that not all trading hours are equal:
- Avoids low-volume, high-spread periods
- Focuses on optimal liquidity windows
- Prevents trading during news events (lunch hours)
- Allows customization for different market sessions
## Best Practices and Optimization
### Recommended Settings
**For Scalping (1-5 minute charts)**:
- Lookback Period: 10-20
- ATR Period: 14
- Trailing Stop: Conservative mode
- Time Filter: Major session hours only
**For Day Trading (15-60 minute charts)**:
- Lookback Period: 20-30
- ATR Period: 14-21
- Trailing Stop: Balanced mode
- Time Filter: Extended trading hours
**For Swing Trading (4H+ charts)**:
- Lookback Period: 30-50
- ATR Period: 21+
- Trailing Stop: Aggressive mode
- Time Filter: Disabled or very broad
### Market Compatibility
- **Forex**: Excellent for major pairs during active sessions
- **Stocks**: Ideal for liquid stocks during market hours
- **Futures**: Perfect for index and commodity futures
- **Crypto**: Effective on major cryptocurrencies (24/7 capability)
### Risk Considerations
- **Market Conditions**: Performance varies with volatility regimes
- **Timeframe Selection**: Lower timeframes require tighter risk management
- **Position Sizing**: Never risk more than 1-2% of account per trade
- **Backtesting**: Always test on historical data before live implementation
## Educational Value
FlowState serves as an excellent learning tool for:
- Understanding support/resistance trading
- Learning proper time-based filtering
- Mastering trailing stop techniques
- Developing systematic trading approaches
- Risk management best practices
## Disclaimer
This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Users should thoroughly backtest the strategy and understand all risks before live trading. Always use proper position sizing and never risk more than you can afford to lose.
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*FlowState Trader represents the evolution of systematic trading - combining classical technical analysis with modern risk management and intelligent time filtering to help traders achieve their optimal performance state through systematic, disciplined execution.*
Imbalance RSI Divergence Strategy# Imbalance RSI Divergence Strategy - User Guide
## What is This Strategy?
This strategy identifies **imbalance** zones in the market and combines them with **RSI divergence** to generate trading signals. It aims to capitalize on price gaps left by institutional investors and large volume movements.
### Main Settings
- **RSI Period (14)**: Period used for RSI calculation. Lower values = more sensitive, higher values = more stable signals.
- **ATR Period (10)**: Period for volatility measurement using Average True Range.
- **ATR Stop Loss Multiplier (2.0)**: How many ATR units to use for stop loss calculation.
- **Risk:Reward Ratio (4.0)**: Risk-reward ratio. 2.0 = 2 units of reward for 1 unit of risk.
- **Use RSI Divergence Filter (true)**: Enables/disables the RSI divergence filter.
### Imbalance Filters
- **Minimum Imbalance Size (ATR) (0.3)**: Minimum imbalance size in ATR units to filter out small imbalances.
- **Enable Lookback Limit (false)**: Activates historical lookback limitations.
- **Maximum Lookback Bars (300)**: Maximum number of bars to look back.
### Visual Settings
- **Show Imbalance Size**: Displays imbalance size in ATR units.
- **Show RSI Divergence Lines**: Shows/hides divergence lines.
- **Divergence Line Colors**: Colors for bullish/bearish divergence lines.
### Volatility-Based Adjustments
- **Low volatility markets**:
- Minimum Imbalance Size: 0.2-0.4 ATR
- ATR Stop Loss Multiplier: 1.5-2.0
- **High volatility markets**:
- Minimum Imbalance Size: 0.5-1.0 ATR
- ATR Stop Loss Multiplier: 2.5-3.5
### Risk Tolerance
- **Conservative approach**:
- Risk:Reward Ratio: 2.0-3.0
- RSI Divergence Filter: Enabled
- Minimum Imbalance Size: Higher (0.5+ ATR)
- **Aggressive approach**:
- Risk:Reward Ratio: 4.0-6.0
- Minimum Imbalance Size: Lower (0.2-0.3 ATR)
###Market Conditions
- **Trending markets**: Higher RSI Period (21-28)
- **Sideways markets**: Lower RSI Period (10-14)
- **Volatile markets**: Higher ATR Multiplier
## Recommended Testing Procedure
1. **Start with default settings** and backtest on 3-6 months of historical data
2. **Adjust RSI Period** to see which value produces better results
3. **Optimize ATR Multiplier** for stop loss levels
4. **Test different Risk:Reward ratios** comparatively
5. **Fine-tune Minimum Imbalance Size** to improve signal quality
## Important Considerations
- **False positive signals**: Imbalances may be less reliable during low volatility periods
- **Market openings**: First hours often produce more imbalances but can be riskier
- **News events**: Consider disabling strategy during major news releases
- **Backtesting**: Test across different market conditions (trending, sideways, volatile)
## Recommended Settings for Beginners
**Safe settings for new users:**
- RSI Period: 14
- ATR Period: 14
- ATR Stop Loss Multiplier: 2.5
- Risk:Reward Ratio: 3.0
- Minimum Imbalance Size: 0.5 ATR
- RSI Divergence Filter: Enabled
## Advanced Tips
### Signal Quality Improvement
- **Combine with market structure**: Look for imbalances near key support/resistance levels
- **Volume confirmation**: Higher volume during imbalance formation increases reliability
- **Multiple timeframe analysis**: Confirm signals on higher timeframes
### Risk Management
- **Position sizing**: Never risk more than 1-2% of account per trade
- **Maximum drawdown**: Set overall stop loss for the strategy
- **Market hours**: Consider avoiding low liquidity periods
### Performance Monitoring
- **Win rate**: Track percentage of profitable trades
- **Average R:R**: Monitor actual risk-reward achieved vs. target
- **Maximum consecutive losses**: Set alerts for strategy review
This strategy works best when combined with proper risk management and market analysis. Always backtest thoroughly before using real money and adjust parameters based on your specific market and trading style.
SuperTrend Strategy with Trend-Based Exits🟩 SuperTrend Strategy with Trend-Based Exits
This is a fully automated trend-following strategy based on the popular SuperTrend indicator, enhanced with a position sizing algorithm tied to stop-loss distance and dynamic entry/exit rules. The strategy is designed for futures trading with an emphasis on sustainable risk, realistic backtesting, and transparent logic.
🧠 Concept and Methodology
The strategy uses the SuperTrend indicator, which is derived from ATR (Average True Range) and is widely used to capture medium- to long-term market trends.
Key features:
✅ Entries are triggered only when the SuperTrend direction changes (trend reversal).
✅ Exits are performed using a dynamic stop-loss placed at the SuperTrend line.
✅ Position size is automatically calculated based on the trader’s fixed dollar risk per trade and the current distance to the stop-loss.
✅ Rounding logic is included to ensure quantity is valid for the exchange’s lot size.
This strategy does not use any take-profit or classic trailing stop — the position is only closed when the trend reverses or the stop is hit by touching the SuperTrend line.
⚙️ Default Parameters
ATR Length: 300
Factor: 7.5
Risk per trade: $90 (3% of the default $3,000 capital)
Lot step: 10
Commission: 0.05%
These default parameters are not universal. They were optimized specifically for STXUSDT swap at 15M timeframe at Bybit and may not produce viable results on other pairs and timeframes.
Users are encouraged to customize the settings according to specific asset’s volatility, timeframe and other characteristics.
❗ These default settings yield meaningful backtesting results on STXUSDT with a reasonable number of trades (105+) over 7-month period. If applied to other assets, results may vary significantly.
📈 Position Sizing Logic
The strategy uses a dynamic position sizing formula:
Pine Script®
position_size = floor((risk_per_trade / stop_loss_distance) / lot_step) * lot_step
This ensures the trader always risks a fixed dollar amount per trade and never exceeds a sustainable equity exposure (recommended 2% or less).
✅ Realism in Backtesting
To ensure realistic and non-misleading backtest results, this strategy includes:
— Slippage and commission settings matching average exchange conditions (commission = 0.05%, slippage 5 ticks).
— Position sizing based on stop-loss distance (not fixed contract quantity).*
— A fixed risk-per-trade model that adheres to responsible capital management principles.
— This is in compliance with TradingView's Script publishing rules and House Rules.
📌 How to Use
Apply the strategy to a clean chart (preferably 15M for STXUSDT by default).
If using another asset, adjust:
- ATR Length
- Factor
- Risk per trade
- Qty step (lot precision for the symbol)
Avoid using with other indicators unless you understand their purpose.
Use the Strategy Tester to evaluate performance and optimize parameters.
⚠️ Disclaimer
This is not financial advice. Always perform forward testing and assess risk before deploying any strategy on live capital. The strategy is designed for educational and experimental use.
