Directional Momentum Flux StrategyDirectional Momentum Flux (DMF) is a compound indicator designed to surface signals of projected change in directional momentum. The primary goal is to identify possible momentum inflection points and signal them before they happen, which is reached by applying a set of well-known high-level indicators (e.g. DEMA, RSIs, CCIs and VWAP), lower-level indicators (e.g. BOP, PPO and RMOMO), and some special sauce brewed in-house by yours truly.
This strategy is invite-only. Invitations are offered for a one-time fee of $250 payable in several cryptocurrencies (ETH, BTC, DASH, XMR or ZEC). Once you've got an invitation, you will automatically receive updates forever*.
DMF was designed to work across multiple asset classes. Extensive backtesting has been performed over multiple sample series (not just during the bull runs, for example) and against a randomized pool of assets. But don't take my word for it, I've included some time-based backtesting support tools to make it easy-peasy for you to validate the results yourself!
Under the hood, DMF is powered by numerous indicators, including:
✓ Double EMA & Composite SMA;
✓ Double RSI (fast & slow, variable);
✓ Composite StochRSI & VWAP (StochRSI+, two series);
✓ Composite Commodity Channel Index (CCI+, two series);
✓ Volume-Weighted Balance of Power (BOP itself was adapted from BOP_LB, kudos to LazyBear);
✓ Percentage Price Oscillator (PPO, split, two series);
✓ Range-adjusted Momentum Oscillator (RMOMO, my fancy MOM variant);
It crunches all that data and generates signals which are issued in two ways:
✓ Vertical Bands (or VBs) - Entry/Exit windows as vertical bands that remain "lit" (e.g. the background of a series of candles is semi-opaque white) while the top-level signals are showing sufficiently strong BUY signals. These windows are the primary entry/exit targets and can be relied upon with sufficient risk mitigation (e.g. a reasonable stop-loss or other scale-out exit mechanism). A VB followed immediately by an egg is as good as gold.
✓ Eggs - Entry/Exit validation signals that confirm the condition indicated by VBs. A lit VB without an egg in the same or next candle session is considered to be valid , but not safe (see above warning). Waiting for an egg can improve performance at the risk of missing the best possible entry point. Consider your risk tolerance and act accordingly.
Basic Instructions:
✓ Configure The Settings! The defaults are pretty good, but don't be scared to try variations. For example, by default SHORT positions are disabled. You might want to enable them if your risk tolerance allows them. (IMO there's gold on both ends of the rainbow. 🌈)
✓ Pay attention to the VBs. If you see a lit band being placed in an otherwise dark area, it's a projected inflection point. This is expected to be validated and confirmed in the same or immediately following period with an egg. You can enter a LONG position at this time.
✓ Pay attention to the eggs. If you see an egg, it's a confirmation that the VB changes in the same or immediately preceding candle period is valid. If you did not enter or exit your position at the point of the VB shift, now is the time to do so.
✓ Watch for the end of a VB period and be prepared to exit your position quickly as the next egg may be accompanied by a large directional momentum inflection.
Things to Note:
📉 - DMF is designed for day trading with aggressive position TTLs (15m was the upper bound during development and strategy testing). It appears to issue valid signals for other intervals, but it was not designed for >15m and YMMV. Don't go manually opening a LONG with no exit strategy and go to sleep... it probably won't work out to your benefit. You should be prepared to exit positions at any time. (Pro tip: automation is your friend!)
💸 - DMF indicator is not free from risk. As with all investment strategies, it is crucial to exercise caution and only trade with funds you are comfortable losing. DMF does not offer any form of guarantee or warranty, implied or otherwise. If you lose money, your house, your 401K... that's on you. (Pro tip: don't risk anything you're not ready to lose, because losses are part of the game and you WILL have them.)
🤔 - By using this indicator, you understand that any and all risks are the sole and complete responsibility of the end user (yeah, that's you). Don't use it if you're not 100% clear that you know exactly what you're doing. (Pro tip: always ask questions if you're feeling confused.)
⏱ - * Forever in this context means that, where room for improvement exists, I will improve it over time and you'll get all updates until I stop making them. (Pro tip: nobody lives forever.)
Komut dosyalarını "stop loss" için ara
Megalodon Pro Automated Shorter Term Trader BacktesterSTRATEGY
When to buy: Green bar - Orange bar Closes
When to sell: Purple bar closes
Stop to trailing: No
Stop loss: No
Commission Rate: 1%
Willing to risk per trade: 10%
Maximum possible trades in one direction: 10
RESULTS
Net Profit without 1% commission: 112.64%
Net Profit with 1% commission: 103.92%
Starting Balance: $100,000
Profits Made: $103,918.38
New Balance with 1% commission: $203,918.38
Dates traded: 3/17/2019 and 8/3/2019
Total Close Trades: 80
Percent Profitable: 98.75%
Profit Factor: 152.158
Max Drawdown: 0.35% - $745.14
Buy & Hold Return: 174.66%
Commission Paid: $9621.46
Total Open Trades: 10
Number of Winning Trades: 79
Number of Losing Trades: 1
Avg Win Trade: 1.33%
Avg. Lose Trade: 0.92%
Largest Win Trade: 2.77%
Let me know what you guys think about the results?
Due to the tradingview's limitations on providing the shorter time frame price data, we had to provide a 60 minute time frame backtesting results.
The shorter time frames including 1 minute and 15 minutes backtesting results are way more accurate and precise than 60 minutes time frame results.
Megalodon Trading
Enlightening the Modern Investors
15MEX Momentum ScalperAlpha product project in development. Uses a combination of MACD and T3-CCI with tweaked settings to catch directional momentum and scalp a small move. Strategy is quantity of trades over quality of trades to build profits.
Use this strategy for 15-min Bitmex scalping on XBT contracts only. Recommend 100k contract size or less; backtested with 100k contracts.
Market enter, then use post-only limit exits and stop losses.
Setting is pre-optimized for 0.5% tp target and 0.5% sl of entry price. Recommend default 3 bars as basis for confirming recent MACD crossover as well as default 0.618 Fibonacci ratio as the T3-CCI basis.
Default risk level setting is approximately 2-3 trades a day. You can double the amount to 4-5 trades a day by enabling Aggressive mode. This may lead to larger profits and more entries, but with more frequent stop losses.
Future version will include trailing TPs/stops. Still undergoing optimization and refinement.
RePaNoCHa [Backtest]This is a very long script and adjusting the settings can be a bit slow so I share some settings. (these may be even better)
It has no security() and no Heikin Ashi so no repaint and Backtest is real.
It's important to adjust correctly the tics/pips correction.
All timeframes but good results at 2H
Default settings for ETHUSD (BITMEX) 2H
Alerts version coming soon...
Enjoy!!!
"Este script es la repanocha"
XBTUSD (BITMEX)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 8
T3 Volume Factor = 0.9
Range Filter+ADX == true
Sampling Period = 16
Range Multiplier = 1.3
Flat Market Trades == true
ADX lenght = 10
ADX Threshold = 20
Parabolic SAR == true
SAR start = 0.03
SAR inc = 0.02
SAR max = 0.3
Pyramiding = 15
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.2
Trailing Stop Offset % (when profit=10 %) = 1.2
Stop Loss = 3.2
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
ETHUSD (BITMEX)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 6
T3 Volume Factor = 0.7
Range Filter+ADX == true
Sampling Period = 10
Range Multiplier = 0.9
Flat Market Trades == true
ADX lenght = 11
ADX Threshold = 19
Parabolic SAR == true
SAR start = 0.06
SAR inc = 0.07
SAR max = 0.15
Pyramiding = 15
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.25
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss = 3.2
Tics/Pips Correction = 100
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
BNBUSDT (BINANCE)
Timeframe = 2H
Position Side = LONG
Source = hlc3
T3 == true
T3 Length = 6
T3 Volume Factor = 0.7
Range Filter+ADX == true
Sampling Period = 17
Range Multiplier = 1.3
Flat Market Trades == true
ADX lenght = 5
ADX Threshold = 18
Parabolic SAR == true
SAR start = 0.04
SAR inc = 0.03
SAR max = 0.25
Pyramiding = 15
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.25
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss == false
Tics/Pips Correction = 10000
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
LTCUSDT (BINANCE)
Timeframe = 2H
Position Side = LONG
Source = hlc3
T3 == true
T3 Length = 3
T3 Volume Factor = 1
Range Filter+ADX == true
Sampling Period = 11
Range Multiplier = 1.1
Flat Market Trades == true
ADX lenght = 6
ADX Threshold = 22
Parabolic SAR == true
SAR start = 0.07
SAR inc = 0.04
SAR max = 0.15
Pyramiding = 15
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.25
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss == false
Tics/Pips Correction = 100
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
TRXUSDT (BINANCE)
Timeframe = 2H
Position Side = LONG
Source = hlc3
T3 == true
T3 Length = 7
T3 Volume Factor = 1
Range Filter+ADX == true
Sampling Period = 8
Range Multiplier = 1.1
Flat Market Trades == true
ADX lenght = 4
ADX Threshold = 22
Parabolic SAR == true
SAR start = 0.07
SAR inc = 0.04
SAR max = 0.15
Pyramiding = 15
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.25
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss == false
Tics/Pips Correction = 100000
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
NAS100 (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 3
T3 Volume Factor = 1
Range Filter+ADX == true
Sampling Period = 12
Range Multiplier = 1.3
Flat Market Trades == true
ADX lenght = 18
ADX Threshold = 21
Parabolic SAR == true
SAR start = 0.08
SAR inc = 0.06
SAR max = 0.25
Pyramiding = 15
Trailing Stop Activation % = 0.2
Trailing Stop Offset % (when profit=0.5 %) = 0.15
Trailing Stop Offset % (when profit=10 %) = 1
Stop Loss == false
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 3 contracts
Commission value = 0.2 USD per contract
NATGAS(OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 3
T3 Volume Factor = 1
Range Filter+ADX == true
Sampling Period = 15
Range Multiplier = 1.3
Flat Market Trades == true
ADX lenght = 12
ADX Threshold = 21
Parabolic SAR == true
SAR start = 0.08
SAR inc = 0.06
SAR max = 0.4
Pyramiding = 15
Trailing Stop Activation % = 0.2
Trailing Stop Offset % (when profit=0.5 %) = 0.15
Trailing Stop Offset % (when profit=10 %) = 1
Stop Loss == false
Tics/Pips Correction = 1000
Initial Capital = 1000
Quantity = 4500 contracts
Commission value = 0.002 USD per contract
SPX500 (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 4
T3 Volume Factor = 0.8
Range Filter+ADX == true
Sampling Period = 14
Range Multiplier = 1.3
Flat Market Trades == true
ADX lenght = 12
ADX Threshold = 17
Parabolic SAR == true
SAR start = 0.09
SAR inc = 0.04
SAR max = 0.2
Pyramiding = 15
Trailing Stop Activation % = 0.15
Trailing Stop Offset % (when profit=0.5 %) = 0.1
Trailing Stop Offset % (when profit=10 %) = 0.5
Stop Loss = 1.5
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 8 contracts
Commission value = 0.2 USD per contract
US30 (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 4
T3 Volume Factor = 0.9
Range Filter+ADX == true
Sampling Period = 11
Range Multiplier = 1.1
Flat Market Trades == true
ADX lenght = 16
ADX Threshold = 24
Parabolic SAR == true
SAR start = 0.08
SAR inc = 0.03
SAR max = 0.05
Pyramiding = 15
Trailing Stop Activation % = 0.15
Trailing Stop Offset % (when profit=0.5 %) = 0.075
Trailing Stop Offset % (when profit=10 %) = 0.5
Stop Loss = 1.5
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 1 contracts
Commission value = 1.5 USD per contract
WHEAT (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 3
T3 Volume Factor = 1.1
Range Filter+ADX == true
Sampling Period = 12
Range Multiplier = 0.9
Flat Market Trades == true
ADX lenght = 13
ADX Threshold = 21
Parabolic SAR == true
SAR start = 0.1
SAR inc = 0.05
SAR max = 0.15
Pyramiding = 15
Trailing Stop Activation % = 0.2
Trailing Stop Offset % (when profit=0.5 %) = 0.1
Trailing Stop Offset % (when profit=10 %) = 1
Stop Loss = 2.5
Tics/Pips Correction = 1000
Initial Capital = 1000
Quantity = 2500 contracts
Commission value = 0.003 USD per contract
Bedrock Bot - BTCUSD 30m Scalper BotBedrock Bot trades on BTCUSD charts and is a high frequency scalper bot - for those that like a little more action.
The strategy was developed for use on more recent market conditions - smaller trends within larger sideways ranges. It will work in trends as well. It is made for quick take profits and tight stop losses to maximize overall profit and minimize losses (check out the win ratio and downdraw results). It does not trade on the weekends as much of the volume is now weekday based.
Backtest results look great and we have been running this bot on live markets as well in forward testing with profit results.
These live tests were done exclusively on BitMex and by using automation on Crypto Bots Hub . Monthly returns have been around 8% - you may think this doesn't sound amazing but understand compound interest and do check out the win percentage and downdraw. In these sideways markets, this can keep building your profits slow and steady with minimal risk.
The bot controls entries, stop losses, and take profits as part of the code.
Message me on information to get free access.
Bollinger + RSI, Double Strategy (by ChartArt)Bollinger Bands + RSI, Double Strategy
This strategy uses a slower RSI with period 16 to sell when the RSI increases over the value of 55 (or to buy when the value falls below 45), with the classic Bollinger Bands strategy to sell when the price is above the upper Bollinger Band and falls below it (and to buy when the price is below the lower band and rises above it). This strategy only triggers when both the RSI and the Bollinger Bands indicators are at the same time in the described overbought or oversold condition. In addition there are color alerts which can be deactivated.
This basic strategy is based upon the "RSI Strategy" and "Bollinger Bands Strategy" which were created by Tradingview and uses no money management like a trailing stop loss and no scalping methods. Every win/loss trade is simply counted from the last overbought/oversold condition to the next one.
This strategy does not use close prices from higher-time frame and should not repaint after the current candle has closed. It might repaint like every Tradingview indicator while the current candle hasn't closed.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Breakouts With DXY Filter Strategy [LuciTech]This advanced breakout strategy combines pivot-based breakout detection with an innovative DXY (US Dollar Index) inverse correlation filter to enhance trade selection quality. The strategy identifies breakouts from recent pivot highs and lows while using DXY movements as a confirmation filter, based on the principle that USD strength/weakness often inversely correlates with other asset movements.
Key Features
Core Breakout Logic
- Pivot-Based Detection: Identifies breakouts above recent pivot highs (bullish) and below recent pivot lows (bearish)
- Customizable Lookback: Adjustable pivot length for different market conditions
- Visual Breakout Lines: Optional display of breakout levels with customizable colors
DXY Inverse Correlation Filter
- Smart USD Filter: Uses DXY movements to confirm breakout signals
- Inverse Logic: Long signals require DXY bearishness, short signals require DXY bullishness
- Threshold Control: Minimum DXY movement percentage required for signal confirmation
- Real-time DXY Data: Pulls live DXY data for accurate correlation analysis
Moving Average Filter
- Multiple MA Types: Support for SMA, EMA, WMA, VWMA, and HMA
- Trend Confirmation: Only takes trades in the direction of the selected moving average
- Customizable Parameters: Adjustable length and source for the moving average
Advanced Risk Management
- Multiple Stop Loss Types:
- ATR-based stops with customizable multiplier
- Candle-based stops using previous candle levels
- Fixed point-based stops
- Risk-Reward Optimization: Configurable risk-reward ratios (1:1 to 1:10)
- Breakeven Function: Automatic stop loss adjustment to breakeven after specified R-multiple
- Position Sizing: Percentage-based risk management with automatic position calculation
Time-Based Trading
- Session Filter: Trade only during specified time windows
- London Time Zone: Uses Europe/London timezone for consistency
- Visual Session Highlighting: Optional background fill for active trading hours
Alert System
- Webhook Integration: JSON-formatted alerts for automated trading
- Telegram Support: Pre-formatted messages for Telegram bot integration
- Multiple Formats: Standard, Telegram, and Concise Telegram alert options
- Real-time Notifications: Instant alerts on breakout signals
How It Works
1. Breakout Detection: The script continuously monitors for closes above recent pivot highs or below recent pivot lows
2. DXY Confirmation: When a breakout occurs, the script checks if DXY is moving in the opposite direction with sufficient momentum
3. MA Filter: If enabled, ensures the breakout aligns with the overall trend direction
4. Time Filter: Validates that the signal occurs within the specified trading hours
5. Risk Calculation: Automatically calculates position size based on the defined risk percentage and stop loss distance
6. Trade Execution: Places trades with predetermined stop loss and take profit levels
Unique Advantages
- Multi-Timeframe Approach: Combines asset-specific breakouts with broader USD market sentiment
- False Breakout Reduction: DXY filter helps eliminate breakouts that lack fundamental backing
- Comprehensive Risk Management: Multiple stop loss methods and automatic position sizing
- High Customization: Extensive parameters for different trading styles and market conditions
- Professional Alert System: Ready for automated trading integration
My strategyThis strategy is designed for BTC/USDT breakout trading on short-to-medium timeframes. It enters positions when price breaks out above recent highs or below recent lows, using automated risk management and alerts.
🔍 Core Logic
Long entry: When price breaks above the highest high of the last N candles (default: 20).
Short entry: When price breaks below the lowest low of the last N candles.
This logic helps detect momentum-driven breakout moves based on recent price consolidation.
⚙️ Strategy Settings
Capital: $10,000
Order size: 1% of equity per trade
Commission: 0.1% per trade (simulating exchange fees)
Slippage: 3 ticks (for realism)
Take Profit: 3% from entry
Stop Loss: 1.5% from entry
These settings aim to provide realistic, risk-conscious backtest results, suitable for individual traders.
📊 Visual Features
Green line = Breakout High
Red line = Breakout Low
Entry/exit markers are plotted on the chart
🔔 Alerts
Alerts are integrated for:
Long Entry
Short Entry
You can create TradingView alerts using this script to automate notifications or connect to external bots (e.g., via webhook for Telegram or Discord).
🧠 How This Strategy Is Different
While many breakout bots use standard Donchian channels, this version allows you to:
Tune the breakout sensitivity (via the adjustable lookback period)
Customize TP/SL without external inputs
Integrate alerts for real-time decision making or automation
The simplicity and flexibility make it useful as both a live tool and a framework for further development.
⚠️ Disclaimer
This script is for educational purposes only. Backtests are based on historical data and do not guarantee future results. Always test thoroughly before using in live trading. Risk only what you can afford to lose.
Intraday Momentum StrategyExplanation of the StrategyIndicators:Fast and Slow EMA: A crossover of the 9-period EMA over the 21-period EMA signals a bullish trend (long entry), while a crossunder signals a bearish trend (short entry).
RSI: Ensures entries are not in overbought (RSI > 70) or oversold (RSI < 30) conditions to avoid reversals.
VWAP: Acts as a dynamic support/resistance. Long entries require the price to be above VWAP, and short entries require it to be below.
Trading Session:The strategy only trades during a user-defined session (e.g., 9:30 AM to 3:45 PM, typical for US markets).
All positions are closed at the session end to avoid overnight risk.
Risk Management:Stop Loss: 1% below/above the entry price for long/short positions.
Take Profit: 2% above/below the entry price for long/short positions.
These can be adjusted via inputs for optimization.
Position Sizing:Fixed lot size of 1 for simplicity. Adjust based on your account size during backtesting.
HA+OBOS Strict Signals - Kademeli TP & SL📌 Strategy Overview: HA + OBOS Strict Signals
This strategy combines Heiken Ashi multi-timeframe alignment with a custom OBOS (Overbought/Oversold) oscillator to generate high-quality, confirmed trading signals. It only triggers entries when all selected indicators point in the same direction — reducing noise and false entries.
📊 Core Indicators Used:
✅ Heiken Ashi Trend (current + 1H, 4H, and Daily timeframes)
✅ Custom OBOS Oscillator for trend strength
✅ Strict Filter Logic: A trade is triggered only when all timeframes and OBOS agree
🎯 Advanced Features:
🔁 Close positions on opposite signals
🎯 Tiered Take Profit system (TP1 & TP2):
Adjustable profit levels and partial close percentages
You can enable/disable each TP level independently
🛑 Optional Stop Loss
🔕 Same-direction signal filtering: avoids repeated signals during ongoing trends
🔔 Comprehensive alert conditions for:
BUY/SELL entries
TP1/TP2 levels (both long and short)
📈 Colorful Backtest Summary Table:
Shows total trades, wins, losses, SL count, and win rate
Customizable position on the chart
🔒 Repaint-Free Guarantee
This strategy is fully non-repainting:
All signals are calculated on confirmed, closed bars
MTF values use request.security() with bar-close logic
Signal execution is gated behind barstate.isconfirmed
🧠 Aggressive RSI + EMA Strategy with TP/SL⚙️ How It Works
RSI-Based Entries:
Buys when RSI is below 40 (oversold) and trend is up (fast EMA > slow EMA).
Sells when RSI is above 60 (overbought) and trend is down (fast EMA < slow EMA).
Trend Filter:
Uses two EMAs (short/long) to filter signals and avoid trading against momentum.
Risk Management:
Default Take Profit: +1%
Default Stop Loss: -0.5%
This creates a 2:1 reward-to-risk setup.
📊 Backtest Settings
Initial Capital: $10,000
Order Size: 10% of equity per trade (adjustable)
Commission: 0.04% per trade (Binance spot-style)
Slippage: 2 ticks
Tested on: BTC/USDT – 15min timeframe (suitable for high-frequency scalping)
Trade Sample: (Adjust this based on your actual results.)
🔔 Features
Built-in alerts for buy/sell signals
Visual chart plots for entry/exit, RSI, EMAs
Customizable inputs for RSI thresholds, TP/SL %, EMA lengths
💡 Why It’s Unique
Unlike many RSI systems that trade blindly at 70/30 levels, this strategy adds a trend filter to boost signal quality.
The tight TP/SL configuration is tailored for scalpers and intraday momentum traders who prefer quick, consistent trades over long holds.
Flecix IndicatorFlecix Indicator is a highly profitable indicator. Use it on a 15-minute time frame. Always buy or sell at the entry Point and always use Stop loss and take profit properly.
Note: Forex Trading is High Risk Business.
This Indicator only for educational purposes.
Trade on your own Risk. We are not responsible for any loss.
For More Information,
Please Contact Us:
www.syedalikhan.com
Flecix IndicatorFlecix Indicator is a highly profitable indicator. Use it on a 15-minute time frame. Always buy or sell at the entry Point and always use Stop loss and take profit properly.
Note: Forex Trading is High Risk Business.
This Indicator Is Only For educational purposes.
Trade on your own Risk. We are not responsible for any loss.
For More Information,
Please Contact Us:
www.syedalikhan.com
ETH-BCH Strategy-V0 (Powered by BCH)ETH-BCH Strategy – Cross-Asset Divergence-Based Momentum Strategy
(Optimized for 2H ETHUSDT)
________________________________________
Strategy Overview
This strategy aims to identify long trade opportunities based on cross-asset divergence among Ethereum (ETH) and Bitcoin Cash (BCH). By integrating momentum filters, volatility bands, volume signals, and timing logic, it captures medium-term price swings while maintaining strict risk controls.
________________________________________
📌 Strategy Logic Overview
Entry Conditions:
• Cross-Asset Momentum:
Enter when BCH outperforms ETH over the last bar.
• Volume Filter:
BCH trading volume must exceed 135% of its 20-period average, indicating genuine market interest.
• Volatility Filter:
ETH price should be below 110% of the lower Bollinger Band boundary (20 periods, 2 standard deviations), signaling oversold conditions.
• RSI & MACD Confirmation:
ETH RSI < 70 (not overbought) and BCH MACD line above its signal line (supporting upward trend).
• Optional Entry Boosters:
Entry signal is reinforced if ETH has fallen more than -20% in the past 48 hours or -25% in the past 72 hours.
• Timing Constraint:
Entry only allowed after at least 1 bar has passed since the last sell.
Exit Conditions:
• Take Profit:
Exit when ETH price rises 30% above the entry price.
• Trailing Stop Loss:
Exit if ETH price drops 6% from the highest point reached after entry.
• Cross-Asset Reversal:
Exit triggered when BTC outperforms BCH by a threshold calculated as ETH short-term/long-term volume ratio × 2.5.
• Timing Constraint:
Exit only allowed after 12 bars have passed since the last buy.
________________________________________
📊 Indicators Used
Category Indicators
Volatility Bollinger Bands (20 periods, 2σ) on ETH close
Momentum RSI(14) on ETH, MACD(12,26,9) on BCH
Volume BCH volume compared to 20-period SMA (threshold at 1.35×)
Divergence Percentage change comparison between ETH, BCH, and BTC closes (1-bar interval)
Volatility Ratio ETH volume short-term vs long-term average to modulate exit threshold
________________________________________
⚙️ Strategy Settings (Backtest)
Setting Value
Chart Symbol ETHUSDT
Timeframe 2 Hours
Position Size 10% of equity (default), also tested at 100% for comparison
Initial Capital $10,000
Commission 0.1%
Slippage 3 points
________________________________________
📈 Performance Summary (Backtested Jan 2023 – Jul 2025, ETHUSDT 2H)
Metric 10% Position Size (Default) 100% Position Size (Aggressive)
Net Profit 30.91% 1064.80%
Max Drawdown(MDD) 1.94% 19.38%
Profit Factor 5.1 4.6
Win Rate 61.54% (40/65) 61.54% (40/65)
Total Trades 65 65
• The 10% position sizing delivers strong risk-adjusted returns with low drawdown, suitable for conservative or institutional traders.
• The 100% sizing highlights the full alpha potential but with significantly higher drawdown risk.
• Both maintain consistent win rate and profit factor, evidencing robustness.
________________________________________
💡 Additional Notes and Usage Suggestions
• The strategy combines cross-asset signals with volatility and momentum validations to reduce false entries.
• Enforces cooldown periods between trades to avoid overtrading.
• Uses 2-hour candles for main logic and 5-minute data for more precise entry and exit pricing.
• Well-suited for traders who prioritize timing over blind holding and want to harness the interplay between ETH, BCH, and BTC.
• Can be integrated into diversified portfolios or as part of rotational trading systems.
• Ideal for advanced users looking to enhance ETH exposure with dynamic timing signals.
________________________________________
⚠️ Disclaimer
This strategy is intended for educational and research purposes only. All performance figures are based on historical backtests and do not guarantee future results. Trading involves risk; use appropriate risk management.
MACD + RSI + SMA Strategy with TP/SLThis strategy combines three technical indicators: MACD, RSI, and Simple Moving Average (SMA) to identify high-probability entry points. It enters trades in the direction of the trend (filtered by SMA), confirms momentum shifts (via MACD crossover), and validates signals with RSI to avoid overbought/oversold conditions.
Key Features:
Directional filter using SMA to align trades with the broader trend.
Momentum validation with MACD crossovers.
Risk control through RSI thresholds and fixed percentage-based Take Profit and Stop Loss levels.
Works for both long and short positions.
Disclaimer: This is a sample strategy for educational purposes only.
Trading involves risk. Use at your own discretion.
You bear full responsibility for any profit or loss.
DRAGONFLY 2.0 Strategy🐉 DRAGONFLY 2.0 — Strategy Guide
DRAGONFLY 2.0 is a precision-built trading system designed for adaptive trend-based entries, dynamic scaling, and calculated exits. It introduces a unique multi-ladder logic and a reactive take-profit engine, ideal for intraday or swing trading.
🧭 Strategy Concept
Proprietary trigger engine that detects trend shifts using directional logic
Ladder entry system that adds size during structured pullbacks
Take profit targets are assigned to each ladder with dynamic average entry updates
A fallback global take profit is used when no ladders are active
Stop loss is managed at a structural level
This system is built for traders who prefer rules over emotions
⚙️ Input Sections
🪜 Ladder Entry Settings
Set percentage distance between ladder steps
Define the first entry size
Assign additional size for each ladder step
Allows flexible scaling into positions with controlled risk
🎯 Take Profit Settings
Set global take profit for longs and shorts before any ladders are filled
Define individual take profit levels for each ladder
Only one take profit is active at a time depending on ladder status
🛡️ Stop Loss Settings
Set percentage stop loss below or above average entry for long and short trades
Designed to exit when market structure is broken
Optional and fully customizable
📐 Trend Engine Settings
Adjust upper and lower trend filters to control signal sensitivity
Change signal length to smooth the trend detection
Choose source input for trend logic like close or hl2
Fine-tune to reduce false signals or increase confirmation strength
🔁 Strategy Flow
📍 Entry and Ladder Progression
Trade begins when the trend breakout is confirmed
Initial base position is entered
As price moves deeper, ladder entries are triggered
Each ladder entry recalculates the average price
Old take profit is disabled and new one is assigned
This creates a fluid and responsive position builder
💰 Take Profit Logic
A global take profit is used if no ladders are filled
When ladder one is triggered, global take profit is disabled
New take profit is tied to the updated average price
Each ladder step updates the take profit accordingly
Visual markers and alerts are shown when targets are hit
🛑 Stop Loss Logic
Stop loss is calculated relative to the average entry
Only triggered if structural breakdown occurs
Can be turned off or adjusted based on risk preference
📊 Visual Chart Aids
🟢 Green circles show active ladder take profits for long trades
🟠 Orange circles show active ladder take profits for short trades
🔵 Blue circles show global take profit level
🔺 Trend bands act as entry zone and direction filters
💡 Strategy Tips
Use wider ladder spacing in volatile markets like BTC or ETH
Smaller take profits are better for scalping
Increase trend filter range if you’re getting too many false signals
Enable or disable long and short entries based on market conditions
📢 ALERT SYSTEM — DMT Autobot Dragonfly Edition
This strategy works seamlessly with TradingView alerts and automation systems
Every entry, ladder, take profit, and stop can trigger real-time alerts for bots or webhooks
🔔 Types of Alerts
lentry and SEntry trigger long and short entries
ADD1 to ADD4 are sent as ladder steps are activated
TP alerts are triggered when targets are reached
close_all signals full exit from the position
🧠 How It Works
Alerts are generated based on logic inside the strategy
You can create alerts in TradingView and connect them to bots or external platforms
⚙️ Recommended Alert Settings
Entry alerts should be set to once per bar close
Ladder adds should be set to once per bar
Take profits should be set to once per bar for better timing
Stop loss or exit alerts should be once per bar close
Once per bar is more responsive and helps avoid missing take profit hits
📈 Entry and Exit Logic
Each ladder or take profit follows strict logic
Alerts are only sent when exact trade conditions are met
Helps automate clean and reliable execution
🔄 Ladder System and Alerts
Every ladder step has a dedicated alert
Take profit is recalculated each time a ladder fills
The system supports full automation with dynamic trade logic
Bots can follow each step as price evolves
⚠️ Leveraged Trading Considerations
If using leverage, check that your ladder spacing and size is appropriate
Make sure your account can handle full position build
Strategy can recover positions using precision, but leverage increases risk
🧭 Final Note
DRAGONFLY 2.0 supports full automation and is compatible with most trading bots
For access, contact me directly on TradingView chat
Stay focused and trade smart with DRAGONFLY 2.0
Strategi FVG 09:31 (Pro)FVG 09:31 Strategy (Pro)
In short, this is an automated trading strategy (bot) for TradingView designed to execute buy or sell orders based on a Fair Value Gap (FVG) pattern. The strategy is highly specific, as it only triggers on the 1-minute timeframe and looks for an FVG that forms precisely at 09:32 AM New York time.
Main Purpose of the Strategy
The primary goal of this script is to identify and capitalize on short-term price imbalances, known as Fair Value Gaps (FVGs). It operates during a specific, high-volatility window right after the U.S. stock market opens, often referred to by traders as the "Silver Bullet" session. By automating the detection and execution, it aims to trade these fleeting opportunities with precision.
How the Strategy Works
The strategy follows a clear, step-by-step logical flow on your chart.
1. Time & Timeframe Restriction
1-Minute Timeframe: The strategy is hard-coded to work only on the 1-minute (1m) chart. A warning label will appear on your chart if you apply it to any other timeframe.
Specific Time Window: The core logic activates only between 09:32 and 09:33 AM New York time. It searches for an FVG pattern formed by the three candles from 09:29, 09:30, and 09:31, with the pattern confirmation happening on the close of the 09:31 candle.
2. Fair Value Gap (FVG) Detection
An FVG is a three-candle pattern that signals a price imbalance.
Bullish FVG (Potential Buy): Occurs when the low of the first candle is higher than the high of the third candle. The space between these two prices is the FVG zone.
Bearish FVG (Potential Sell): Occurs when the high of the first candle is lower than the low of the third candle. The space between these two prices is the FVG zone.
If this pattern is detected at the target time, the strategy draws a colored box on the chart to visualize the FVG zone (aqua for bullish, fuchsia for bearish).
3. Entry Logic
The strategy provides two user-selectable methods for entering a trade:
Retracement (Immediate Entry): The strategy will open a position with a market order as soon as the price retraces back into the identified FVG zone.
For a Bullish FVG, a Long (buy) position is opened when the price drops to touch the upper boundary of the FVG.
For a Bearish FVG, a Short (sell) position is opened when the price rises to touch the lower boundary of the FVG.
Limit Order (Pending Entry): The strategy places a pending limit order at the edge of the FVG zone.
For a Bullish FVG, a Buy Limit order is placed at the upper boundary of the FVG.
For a Bearish FVG, a Sell Limit order is placed at the lower boundary of the FVG.
Order Expiration: If the limit order is not filled within a specified number of candles (default is 15), it is automatically canceled to avoid chasing a stale setup.
4. Exit Logic
Once a position is active, the strategy automatically manages the exit by setting a Take Profit (TP) and Stop Loss (SL) level. You can choose between two types:
Ticks (Fixed Points): You define a fixed profit target and loss limit in ticks (the smallest price movement). For example, a 200-tick TP and a 100-tick SL.
Last Swing (Dynamic Levels): The TP and SL are set dynamically based on the most recent swing high or swing low.
For a Long position: Take Profit is set at the last swing high; Stop Loss is at the last swing low.
For a Short position: Take Profit is set at the last swing low; Stop Loss is at the last swing high.
5. Daily Management
At the start of each new trading day, the script performs a reset. All variables, including any FVG data from the previous day, are cleared. This ensures the strategy only acts on fresh signals from the current day and cancels any pending orders from the day before.
Explanation of Settings (Inputs)
Here is what each user-configurable setting does:
Entry Type: Choose your preferred entry method: Retracement or Limit Order.
Order Expiration (Candles): Applies only to the Limit Order type. Sets how many candles an unfilled order will remain active before being canceled.
Stop Loss Type: Choose Ticks for a fixed-distance stop loss or Last Swing for a dynamic level.
Take Profit Type: Choose Ticks for a fixed-distance profit target or Last Swing for a dynamic level.
Pivot Lookback (SL/TP Swing): Defines how many candles the script looks back to identify the most recent swing high/low for the Last Swing SL/TP type.
Contract Size: The quantity or lot size for each trade.
Take Profit (in Ticks): The profit target distance if using the Ticks type.
Stop Loss (in Ticks): The maximum loss distance if using the Ticks type.
DVPOOverview
The DVPO (Dynamic Volume Profile Oscillator) Strategy is a comprehensive and highly customizable trading tool designed for precision and control. It is built around a unique, volume-driven oscillator that identifies potential market entries by analyzing the relationship between price, volume, and volatility.
This strategy is not just another signal generator; it's a complete framework that includes dynamic entry logic, adaptive risk management (ATR Stop Loss and R:R-based Take Profit), and a powerful dashboard of 10+ optional confirmation filters to help you tailor the strategy to your specific instrument, timeframe, and trading style.
The Core Concept: The DVPO Oscillator
The heart of this strategy is the DVPO oscillator. Unlike standard oscillators like RSI or Stochastics, the DVPO's primary goal is to quantify how far the current price has deviated from its recent volume-weighted "fair value."
Here’s how it works conceptually:
Micro Volume Profile: The indicator first analyzes a recent period of bars (defined by Lookback Period) to build a mini-profile of price and volume.
Volume-Weighted Mean: From this profile, it calculates a volume-weighted average price (VWAP) and the average deviation from that mean. This establishes the central point of value for the recent period.
Deviation Measurement: The oscillator's value is derived from how far the current price is from this calculated mean, scaled by the observed price deviation and a user-defined Sensitivity. A value above the midline suggests the price is trading at a premium, while a value below suggests it's at a discount.
Adaptive Volatility Zones: Instead of using fixed overbought/oversold levels (e.g., 70/30), the DVPO calculates dynamic upper and lower zones using the standard deviation of the oscillator itself. These zones expand and contract based on recent market volatility.
An entry signal is triggered not just when the oscillator is "overbought" or "oversold," but when it breaks out of these adaptive volatility zones, signaling that a statistically significant price movement is underway.
📈 Long Entry Condition : The oscillator crosses above the dynamic upper zone.
📉 Short Entry Condition : The oscillator crosses below the dynamic lower zone.
Integrated Risk & Trade Management
A signal is useless without proper risk management. This strategy has professional-grade risk management built directly into its logic.
Stop Loss (ATR-Based): The Stop Loss is not a fixed percentage. It is calculated using the Average True Range (ATR), allowing it to adapt automatically to the market's current volatility. In volatile periods, the stop will be wider; in quiet periods, it will be tighter.
Take Profit (Risk/Reward Ratio): The Take Profit level is calculated based on a user-defined Risk/Reward Ratio. If you set a ratio of 2.0, the Take Profit target will be placed at twice the distance of the Stop Loss from your entry price.
Dynamic Position Sizing: The strategy can automatically calculate the trade quantity for you. It determines the position size based on your specified Capital Size and the % Risk Per Trade you are willing to accept, ensuring disciplined risk control on every trade.
The Filter Dashboard : Enhance Your Signal Quality
To help reduce false signals and adapt to different market conditions, the strategy includes a comprehensive dashboard of optional confirmation filters. An entry signal will only be executed if it aligns with all the filters you have activated.
Trend & Momentum Filters :
T3, VMA, & VWAP Trend Filters: Utilize a suite of advanced moving averages (T3, Variable Moving Average, and a session-based VWAP) to ensure your trades are aligned with the dominant trend.
ADX Filter: Confirms that the market has sufficient directional strength for a trend-following trade, helping to avoid entries during choppy conditions.
Kaufman Efficiency Filter: Uses the Kaufman Efficiency Ratio to measure market noise. It only allows trades when the market is trending efficiently.
Volume & Market State Filters :
Volume Flow (VFI): A sophisticated volume-based filter that confirms whether volume is supporting the price move.
TDFI (Trader's Dynamic Index): A market state indicator designed to identify when the market is primed for a strong, directional move.
Flat Market Detector: A unique filter that identifies and avoids trading in sideways or ranging markets where trend strategies typically underperform.
Trade Condition Filters :
Min TP / Max SL %: Filter out trades where the risk/reward profile doesn't meet your minimum requirements (e.g., ignore a trade if the ATR-based stop loss is more than 10% away from the price).
Session Filters: Allows you to enable or disable trading on specific days of the week and to set a Cooldown Period (a set number of bars to wait after a trade closes before looking for a new entry).
How To Use This Strategy
Start with the Core: Begin by configuring the DVPO Oscillator settings (Lookback Period, Sensitivity, Zone Width) and your Risk Management parameters (ATR Multiplier, RR Ratio, % Risk Per Trade). These form the foundation of the strategy.
Backtest and Observe: Use TradingView's Strategy Tester to see how the core signals perform on your chosen asset and timeframe.
Layer Filters Intelligently: Enable the confirmation filters one by one and re-run your backtest. Observe how each filter impacts performance (e.g., does the T3 filter increase profitability but reduce the number of trades?). The goal is to find the optimal balance between signal quality and frequency.
Visualize and Analyze: Use the Show Risk/Reward Area option to plot your entry, stop loss, and take profit levels directly on the chart for every trade, providing a clear visual representation of your trade plan.
Disclaimer: This strategy is provided for educational and analytical purposes only. Past performance is not indicative of future results. All trading involves risk, and you should conduct your own thorough backtesting and analysis before deploying any strategy in a live market.
Antony.N4A -NQ ORB Quartile Str v6.3Antony.N4A – NQ ORB Quartile Strategy v6.3
A precision-engineered intraday breakout system built for the Nasdaq futures market, combining the Opening Range Breakout (ORB) logic with dynamic standard deviation targets, structural filters, and multi-layer risk management.
🧠 Key Features
Opening Range Breakout (ORB):
Automatically defines a breakout window (default: 09:30–09:45) and triggers entries when price breaks the high or low of that range.
Standard Deviation Profit Targets:
Supports SD0.5, SD1.0, SD1.5, and SD2.0 targets relative to the ORB range.
EMA Filtering (200-period):
Filters trades based on EMA direction and price position to validate breakout direction and avoid false entries.
Range Filtering:
Detects directional bias and volatility trends using smoothed range logic.
Momentum Triggering:
Validates breakout momentum and allows entries when directional momentum is positive and increasing.
⚙️ User Inputs
ORB Settings: Timeframe, session, and timezone customization
Entry Window: Define when trades are allowed to trigger
Day Filters: Enable/disable trading by weekday
SD Targets: Configure exit % and active levels (SD0.5 – SD2.0)
EMA Filter & Sensitivity
Cross Filter (Anti-chop logic)
Range Filter Parameters
Visual Toggles: ORB range, SD levels, EMA clouds
🎯 Trade Management Rules
Entry:
Triggered at the close of a 5-minute candle confirming a breakout of the ORB range.
Stop Loss:
Defined by structural invalidation (quartile boundaries & mid-range buffers).
Take Profit Strategy:
75% closed at SD1.0 level
Remaining 25% trailed to further SD2 target
SL is moved to breakeven after partial exit
Execution Controls:
No pyramiding
No re-entries (cooldown enforced)
🔧 Trading Modes
✅ Safe Mode
EMA Filter: Enabled
EMA Sensitivity: 19
Range Filter: Disabled
Ideal for conservative setups and reduced noise environments
🔥 Aggressive Mode
EMA Filter: Enabled
EMA Sensitivity: 5
Range Filter: Disabled
Suited for high-frequency setups and faster breakouts
📊 Backtest Performance (7-Month Sample)
Safe Mode:
Win Rate: 66%
Total Trades: 29
Net PnL: +21.79R (~$4,357 with R = $200)
Max Red Days: 3
Max Drawdown: -$663
Best Month: +9R, Worst Month: -2R
Aggressive Mode:
Win Rate: 63%
Total Trades: 52
Net PnL: +30R (~$6,080)
Max Red Days: 6
Max Drawdown: -$1,357
Best Month: +12R, Worst Month: -3.2R
👨💻 Developed by Antony.N4A
This tool is crafted for strategic intraday traders, system developers, and backtesters.
For access, customization, or licensing options, contact the developer directly.
Protected script. Redistribution or reuse without permission is prohibited.
ORB 5M + VWAP + Braid Filter + TP 2R o Niveles PreviosORB 5-Minute Breakout Strategy Summary
Strategy Name:
ORB 5M + VWAP + Braid Filter + TP 2R or Previous Levels
Timeframe:
5-minute chart
Trading Window:
9:35 AM to 11:00 AM (New York time)
✅ Entry Conditions:
Opening Range: Defined from 9:30 to 9:35 AM (first 5-minute candle).
Breakout Entry:
Long trade: Price breaks above the opening range high.
Short trade: Price breaks below the opening range low.
Confirmation Filters (All must be met):
Strong candle (green for long, red for short).
VWAP in the direction of the trade.
Braid Filter by Mango2Juice supports the breakout direction (green for long, red for short).
📉 Stop Loss:
Placed at the opposite side of the opening range.
🎯 Take Profit (TP):
+2R (Risk-to-Reward Ratio of 2:1),
or
Closest of the following: previous day’s high/low or premarket levels.
⚙️ Additional Rules:
Only valid signals between 9:35 and 11:00 AM.
Only one trade per breakout direction per day.
Filter out "trap candles" (very small or indecisive candles).
Avoid trading after 11:00 AM.
📊 Performance Goals:
Maintain a high Profit Factor (above 3 ideally).
Focus on tickers with good historical performance under this strategy (e.g., AMZN, PLTR, CVNA).
Cyber Strategy V1Сyber Strategy V1 – Indicator Testing & Strategy Execution Framework
✅ Overview
Cyber Strategy V1 is a closed-source strategy framework engineered to turn any of yours external indicator into a systematic, rule-based trading system. Designed for rigorous testing and live deployment, it combines multi-signal inputs, confirmations and automated execution paths to help traders and developers validate signal quality and manage risk with precision.
✅ Core Functionality
Multi-Source Independent Signal Inputs
Reversal Logic
Take Profit: up to 5 staggered TP levels, specified as percentage
Stop Loss: configurable via fixed percentage or dynamic SL that trails a reverse signals.
✅ Statistical Drawdown Analysis
For all profitable trades, tracks the maximum intratrade drawdown.
Computes percentile levels of profitable trades that hits minimum drawdowns to inform:
Entry buffer zones (e.g. avoid entering during transient noise)
Partial entry scaling prices.
✅ Signal Confirmation
Optional confirmation delays: hold entry until other signal section send a confirmation from another indicator.
✅ Automated Execution Integrations
Cornix Text Alerts: Generates pre-formatted alerts compatible with Cornix for semi-automated or bot trading.
Webhook Support: Emits JSON payloads on order-fill events to any endpoint, enabling full automation through third-party services or custom order-routing systems.
Important Notes
⚠️ THIS STRATEGY DOES NOT INCLUDE INDICATORS. Examples shown on screenshots use third-party tools. NO PROPRIETARY INDICATORS INCLUDED: Cyber Strategy V1 relies entirely on external signal inputs.
⚠️ All backtesting parameters are customizable; thorough backtesting under realistic slippage, fees and spread assumptions is essential before live deployment.
SMPivot Gaussian Trend Strategy [Js.K]This open-source strategy combines a Gaussian-weighted moving average with “Smart Money” swing-pivot breaks (BoS = Break-of-Structure) to capture trend continuations and early reversals. It is intended for educational and research purposes only and must not be interpreted as financial advice.
How the logic works
-------------------
1. Gaussian Moving Average (GMA)
• A custom Gaussian kernel (length = 30 by default) smooths price while preserving turning points.
• A second pass (“Smoothed GMA”) further filters noise; only its direction is used for bias.
2. Swing-Pivot detection
• High/Low pivots are found with a symmetric look-back/forward window (Pivot Length = 20).
• The most recent confirmed pivot creates a dynamic structure level (UpdatedHigh / UpdatedLow).
3. Entry rules
Long
• Price closes above the most recent pivot high **and** above Smoothed GMA.
Short
• Price closes below the most recent pivot low **and** below Smoothed GMA.
4. Exit rules
• Fixed stop-loss and take-profit in percent of current price (user-defined).
• Separate parameters and on/off switches for longs and shorts.
5. Visuals
• GMA (dots) and Smoothed GMA (line).
• Structure break lines plus “BoS PH/PL” labels at the midpoint between pivot and break.
Inputs
------
Gaussian
• Gaussian Length (default 30) – smoothing window.
• Gaussian Scatterplot – toggle GMA dots.
Smart-Money Pivot
• Pivot Length (default 20).
• Bull / Bear colors.
Risk settings
• Long / Short enable.
• Individual SL % and TP % (default 1 % SL, 30 % TP).
• Strategy uses percent-of-equity sizing; initial capital defaults to 10 000 USD.
Adjust these to reflect your own account size, realistic commission and slippage.
Best practice & compliance notes
--------------------------------
• Test on a data sample that yields ≥ 100 trades to obtain statistically relevant results.
• Keep risk per trade below 5–10 % of equity; the default values comply with this guideline.
• Explain any custom settings you publish that differ from the defaults.
• Do **not** remove the code header or licence notice (MPL-2.0).
• Include realistic commission and slippage in your back-test before publishing.
• The script does **not** repaint; orders are processed on bar close.
Usage
-----
1. Add the script to any symbol / timeframe; intraday and swing timeframes both work—adjust lengths accordingly.
2. Configure SL/TP and position size to match your personal risk management.
3. Run “List of trades” and the performance summary to evaluate expectancy; forward-test before live use.
Disclaimer
----------
Trading involves substantial risk. Past performance based on back-testing is not necessarily indicative of future results. The author is **not** responsible for any financial losses arising from the use of this script.
Return-to-Trend Wick Scalper — Full Control VersionReturn-to-Trend Wick Scalper — Modular Scalping Strategy for Gold (XAUUSD) & Indices
This is a precision-engineered scalping strategy designed primarily for high-volatility instruments such as Gold (XAUUSD), NASDAQ, and indices.
The system focuses on counter-trend pullbacks within the dominant daily trend, utilizing wick-based liquidity grabs (commonly referred to as “John Wick” candles) to identify high-probability return-to-trend opportunities.
Key Features:
✅ Dynamic Wick Reversal Detection: Detects reversal setups based on wick dominance and body ratio.
✅ Multiple Take Profit Levels: TP1, TP2, TP3 with individual enable/disable toggles and adjustable exit percentages.
✅ Time-Based Stop-Loss: Optional failsafe to close trades after exceeding a defined number of bars.
✅ VWAP Proximity Filter: Ensures entries happen near volume-weighted average price for precision.
✅ Pullback Depth Control: Filter for significant pullbacks using percentage of daily ATR.
✅ Dynamic Support & Resistance Validation: Confirms setups at key reactive levels.
✅ Volatility Filter: Avoids entries in overly volatile or dead market conditions.
✅ Aggressive Entry Mode: Optional early entry at pullback zones for faster fills.
✅ Paper Trading & Backtest Ready: Fully compatible with TradingView’s Paper Trading simulator.
Usage Notes:
Optimized for 5-minute chart entries.
Use in conjunction with Paper Trading for forward testing before live execution.
Can be connected to live brokers via alert webhooks and external bridges like PineConnector.
Instrument Focus:
Gold (XAUUSD) ✅
NASDAQ ✅
Dow Jones (US30) ✅
Other liquid indices ✅
Risk Note:
Always test thoroughly in Paper Trading before going live.
Optimize TP levels and filters according to market volatility conditions.
Designed for traders who want precision entries, flexibility in scaling out positions, and professional-grade risk control.
