XAUUSD 5m — CET 13:00→01:00 Supertrend + RSI (1:2 RR) — $240KThis strategy is designed for XAUUSD (Gold) on the 5-minute chart, optimized for trading during the most active hours (13:00–01:00 CET).
It combines a Supertrend direction filter with RSI crossovers for precise entries, and applies a 1:2 risk–reward ratio for consistent risk management.
🧠 Logic Overview:
Buy Signal: RSI crosses above 55 while Supertrend is bullish
Sell Signal: RSI crosses below 45 while Supertrend is bearish
Trading Hours: 13:00 → 01:00 CET (corresponding to 07:00 → 19:00 New York time)
Risk Management: Fixed 1:2 RR (TP = 2× SL distance from Supertrend line)
Session Management: Automatically closes all trades after 01:00 CET
Order Size: $240,000 notional exposure per position
💡 Best used for:
Scalping or intraday trading on XAUUSD during high-volatility hours.
The setup works best when combined with strong price action or volume confirmation.
⚠️ Disclaimer:
This script is for educational and testing purposes only.
Past performance does not guarantee future results.
Always test on demo before using live funds.
지표 및 전략
Ultra Reversion DCA Strategy with Manual Leverage - V.1Ultra Reversion DCA Strategy with Manual Leverage - V.1
2025-10-27
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.
Trendline Breakout Strategy Strategy should place entries & exits so that it can be backtested (use strategy.entry and strategy.exit with explicit stop and limit prices). Include an option for fixed percent position sizing and an option for fixed contract size. Draw the trendline on the chart (with option to hide/show) and add labels that show: bias (Bull/Bear), trendline slope, entry price, SL, TP and the reason (e.g., "Trendline Breakout"). Provide user inputs for: EMA length (default 200), lookback for pivot detection, pivot sensitivity (left/right bars), quantity mode (percent / contracts), risk percent or fixed size, enable/disable backtest prints, and enable alerts. Avoid repainting: use confirmed pivot logic (pivot detection must use completed bars) and only take entry after breakout confirmed on close. Document any limitations (for example, trendline using two highest/highest bars inside lookback is approximate). Add clear comments, helpful variable names, and include example alertcondition lines for entry and exit signals.
Pitchfork-Trading Friendsuses the pitchfork to give entry and exit zones, and gives a net overall summary for a beginner trader to enter into.
AIBTC Automated Trading Strategy🧠 AIBTC Automated Trading Strategy
Overview:
The AIBTC Automated Trading Strategy is a fully autonomous system designed for 4-hour timeframes (4H). It dynamically identifies support and resistance levels based on price action, and automatically executes trades when valid breakouts occur above resistance or below support. The system adapts in real time to changing market volatility, ensuring stable performance across different market conditions.
⚙️ Strategy Logic
Dynamic Support & Resistance Detection
The strategy uses an adaptive Pivot Point algorithm that adjusts parameters according to market volatility (ATR) and price deviation (Standard Deviation).
When volatility increases, the algorithm automatically widens its detection range and recalibrates channel width for better accuracy.
All support and resistance levels are detected dynamically — no manual configuration is required.
Trend & Volatility Filtering
The system applies ADX (Average Directional Index) to measure trend strength.
When ADX > 25, only strong levels are considered valid to avoid noise during weak trends.
ATR-based volatility adjustments automatically optimize lookback periods and detection sensitivity.
Breakout Signal Detection
A long position is triggered when price breaks above resistance with a valid breakout margin (default filter: 0.1%).
A short position is triggered when price breaks below support with the same breakout filter applied.
This breakout filter effectively minimizes false breakouts and improves signal quality.
Fully Automated Execution
The system is designed for both backtesting and live simulation.
All buy/sell entries are executed automatically without manual input once conditions are met.
🕒 Recommended Timeframe
4-hour (4H) candles
Suitable for short-to-medium term swing trading, balancing signal precision and trade frequency.
📊 Key Features
✅ Fully Automated — Executes long/short positions on valid breakouts
✅ Adaptive Parameters — Automatically adjusts to changing volatility
✅ Trend-Aware Filtering — Uses ADX to avoid false signals in ranging markets
✅ Multi-Asset Compatibility — Works on BTC, ETH, or any high-liquidity instrument
⚠️ Disclaimer
This strategy is a technical and algorithmic tool, not financial advice.
Always backtest and simulate before using it on live markets.
During periods of extreme volatility, signals may delay or show false breakouts — consider using stop-loss mechanisms accordingly.
FVG Donchian Channel strategy30min FVG + Donchian Channel strategy
buy sell by 30min fvg
and stoploss , take profit by Donchian Channel
Run the strategy on the 1min timeframe!
One For All Strategy by Anson🏆 Exclusive Indicator: One For All Strategy
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📈 Works for stocks, forex, crypto, indices
📈 Easy to use, real-time alerts, no repaint
📈 No grid, no martingale, no hedging
📈 One position at a time
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One For All Strategy by Anson
A multi-indicator TradingView strategy designed to identify long and short trading opportunities by combining trend-following and momentum signals, paired with risk management rules to guide entries and exits.
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Core Logic & Key Indicator:
X Moving Average: A proprietary adaptive moving average that adjusts its responsiveness to price changes based on market volatility. It uses an efficiency ratio to modify its smoothing behavior—adapting to whether the market is trending or ranging. Users can toggle a setting to let this ratio dynamically adjust the indicator’s sensitivity or use a fixed smoothing factor.
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Entry Conditions:
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Long Entry: Triggered when momentum signals strength, price action aligns with a broader upward trend, the X MA indicates short-term upward momentum, and a minimum number of bars have passed since the last trade (to prevent overtrading).
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Short Entry: Triggered when momentum signals weakness, price action aligns with a broader downward trend, the X MA indicates short-term downward momentum, and a minimum number of bars have passed since the last trade.
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Exit Conditions:
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Trailing Stop: Activates after a position has been open for a set number of bars (to avoid premature exits). A trailing stop—based on a percentage of the entry price—locks in profits as the trade moves favorably, adjusting dynamically to protect gains.
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Additional Features:
Visualisation: Overlays the X MA (orange line) and price (semi-transparent blue) on the chart for clear signal tracking.
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 See the author's instructions on the right to learn how to get access to the strategy. 
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EMA 9/50 News Confirmation Strategy v3 (Trend Aligned 3 bMin) “EMA 9/50 crossover strategy with trend filter and ATR-based targets”)
FluxVector Liquidity Universal Trendline FluxVector Liquidity Trendline FFTL
 Summary in one paragraph 
FFTL is a single adaptive trendline for stocks ETFs FX crypto and indices on one minute to daily. It fires only when price action pressure and volatility curvature align. It is original because it fuses a directional liquidity pulse from candle geometry and normalized volume with realized volatility curvature and an impact efficiency term to modulate a Kalman like state without ATR VWAP or moving averages. Add it to a clean chart and use the colored line plus alerts. Shapes can move while a bar is open and settle on close. For conservative alerts select on bar close.
 Scope and intent 
• Markets. Major FX pairs index futures large cap equities liquid crypto top ETFs
• Timeframes. One minute to daily
• Default demo used in the publication. SPY on 30min
• Purpose. Reduce false flips and chop by gating the line reaction to noise and by using a one bar projection
• Limits. This is a strategy. Orders are simulated on standard candles only
 Originality and usefulness 
• Unique fusion. Directional Liquidity Pulse plus Volatility Curvature plus Impact Efficiency drives an adaptive gain for a one dimensional state
• Failure mode addressed. One or two shock candles that break ordinary trendlines and saw chop in flat regimes
• Testability. All windows and gains are inputs
• Portable yardstick. Returns use natural log units and range is bar high minus low
• Protected scripts. Not used. Method disclosed plainly here
 Method overview in plain language 
Base measures
• Return basis. Natural log of close over prior close. Average absolute return over a window is a unit of motion
 Components 
• Directional Liquidity Pulse DLP. Measures signed participation from body and wick imbalance scaled by normalized volume and variance stabilized
• Volatility Curvature. Second difference of realized volatility from returns highlights expansion or compression
• Impact Efficiency. Price change per unit range and volume boosts gain during efficient moves
• Energy score. Z scores of the above form a single energy that controls the state gain
• One bar projection. Current slope extended by one bar for anticipatory checks
 Fusion rule 
Weighted sum inside the energy score then logistic mapping to a gain between k min and k max. The state updates toward price plus a small flow push.
 Signal rule 
• Long suggestion and order when close is below trend and the one bar projection is above the trend
• Short suggestion and flip when close is above trend and the one bar projection is below the trend
• WAIT is implicit when neither condition holds
• In position states end on the opposite condition
 What you will see on the chart 
• Colored trendline teal for rising red for falling gray for flat
• Optional projection line one bar ahead
• Optional background can be enabled in code
• Alerts on price cross and on slope flips
 
Inputs with guidance 
Setup
• Price source. Close by default
Logic
• Flow window. Typical range 20 to 80. Higher smooths the pulse and reduces flips
• Vol window. Typical range 30 to 120. Higher calms curvature
• Energy window. Typical range 20 to 80. Higher slows regime changes
• Min gain and Max gain. Raise max to react faster. Raise min to keep momentum in chop
UI
• Show 1 bar projection. Colors for up down flat
 Properties visible in this publication 
• Initial capital 25000
• Base currency USD
• Commission percent 0.03
• Slippage 5
• Default order size method percent of equity value 3%
• Pyramiding 0
• Process orders on close off
• Calc on every tick off
• Recalculate after order is filled off
 Realism and responsible publication 
• No performance claims
• Intrabar reminder. Shapes can move while a bar forms and settle on close
• Strategy uses standard candles only
 Honest limitations and failure modes 
• Sudden gaps and thin liquidity can still produce fast flips
• Very quiet regimes reduce contrast. Use larger windows and lower max gain
• Session time uses the exchange time of the chart if you enable any windows later
• Past results never guarantee future outcomes
 Open source reuse and credits
 • None
VWAP & Band Cross Strategy v6VWAP & Band Cross Strategy v6: Script Summary
This Pine Script implements a highly flexible, multi-layered trading strategy centered around the Volume Weighted Average Price (VWAP) and its associated Standard Deviation Bands.
The strategy is designed to test various entry/exit models based on how the price interacts with the central VWAP line and the upper/lower volatility bands, with extensive risk management and confirmation filters.
1. Core Mechanics (VWAP & Bands)
VWAP Calculation: Calculates the VWAP based on a user-defined source (default is the close price).
Standard Deviation Bands: Creates upper and lower bands by calculating the standard deviation of the price (over 20 periods by default) and multiplying it by a user-defined Multiplier (default is 2.0). These bands dynamically expand and contract with volatility.
Plotting: The script clearly plots the VWAP (purple), the Upper Band (green), and the Lower Band (red), with a colored fill between the bands.
2. Entry Triggers
The core entry logic is based on a single, user-selected cross event between the price and the VWAP/Bands. The user can choose from six predefined entry types:
Entry Type Category
Entry Trigger (Long)
Entry Trigger (Short)
Mean Reversion
Price crosses over the Lower Band.
Price crosses under the Upper Band.
Trend Following
Price crosses over the Upper Band (Breakout).
Price crosses under the Lower Band (Breakout).
VWAP Cross
Price crosses over the VWAP.
Price crosses under the VWAP.
3. Filters and Confirmation
Trades are only executed if they pass a series of optional filters, making the strategy highly customizable:
Technical Confirmation (Optional): Users can enable and configure up to three additional indicators that must align with the trade direction:
RSI: Price must be Oversold (for Long) or Overbought (for Short).
SMMA: Price must be above the SMMA (for Long) or below (for Short).
MACD: MACD line must cross the Signal line and the Histogram must be positive/negative.
Time and Day Filters: Trades are restricted to a defined Entry Start/End Hour/Minute window, and only execute on user-selected Trading Days of the week.
Trade Direction: Can be toggled to execute Long Only, Short Only, or Both.
4. Advanced Risk Management (Daily Limits)
The strategy incorporates robust daily limits that reset at a configured Daily Reset Hour/Minute:
Daily Profit/Loss Limits: If the running total of Realized PnL (closed trades) + Unrealized PnL (open position) exceeds a user-defined Daily Take Profit (in Ticks) or falls below the Daily Stop Loss (in Ticks), the strategy locks out new trades and immediately closes any open position.
Max Daily Trades: Prevents the strategy from entering more than a specified number of trades per day.
5. Exit Logic
The strategy exit is also highly configurable via the Exit Type setting:
Fixed Ticks / ATR / Capped ATR: If one of these is selected, the script calculates a static Stop Loss and Take Profit level upon entry, using either fixed tick values or dynamic values based on the Average True Range (ATR), which are then executed using Pine Script's strategy.exit function.
Cross Exits (VWAP/Bands): If selected, the position is closed when the price crosses the VWAP or a specific band in the opposite direction.
End-of-Day Close: An unconditional exit that closes all open positions at a user-defined Close All Hour/Minute, regardless of profit/loss or limit status, preventing positions from being held overnight.
SB  LONG ENTRY/EXITBASED on HULL slope average.   ISN'T IT VERY ROBUST?
Very good for daily, weekly and monthly timeframes. Stocks especially.....
I prefer it without optonal stop loss on other position protection stops.
Wonderful both equal weight position or with a D'alembert style weighting of positions....
Hold the Hull period parameter between 30 and 60 or more, but it's not so sensitive to this optimization.
All the best,
Sandro Bisotti
Entry / exit zones  (only long positions)Great and simple helping tool to find good entry/exit point for mid/long term trading on stocks especially but also indexes and other..... Good on daily timeframe, but better with weekly and monthly.  Based on Hull average slope.  Hold the average period value  among 30 and 50 or more.  I prefer the version WITHOUT stop loss and other exit rules (optional).
All the best and good trading!
SB
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview 
The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms.
This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades.
 How It Works 
 Core Signal Generation: 
The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag:
 
 Calculate lag period: floor((length - 1) / 2)
 Apply lag correction: src + (src - src )
 Calculate ZLEMA: EMA of lag-corrected price
 
Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries.
 Trend Detection: 
The strategy maintains a trend variable that switches between bullish (1) and bearish (-1):
 
 Long Signal:  Triggers when price crosses above ZLEMA + volatility band
 Short Signal:  Triggers when price crosses below ZLEMA - volatility band
 
 Optional ZLEMA Trend Confirmation: 
When enabled, this filter requires ZLEMA to show directional momentum before entry:
 
 Bullish Confirmation:  ZLEMA must increase for 4 consecutive bars
 Bearish Confirmation:  ZLEMA must decrease for 4 consecutive bars
 
This additional filter helps avoid false signals in choppy or ranging markets.
 Risk Management Features: 
The strategy includes multiple stop-loss and take-profit mechanisms:
 
 Volatility-Based Stops:  Default stop-loss is placed at ZLEMA ± volatility band
 ATR-Based Stops:  Dynamic stop-loss calculated as entry price ± (ATR × multiplier)
 ATR Trailing Stop:  Ratcheting stop-loss that follows price but never moves against position
 Risk-Reward Profit Target:  Take-profit level set as a multiple of stop distance
 Break-Even Stop:  Moves stop to entry price after reaching specified R:R ratio
 Trend-Based Exit:  Closes position when price crosses EMA in opposite direction
 
 Performance Tracking: 
The strategy includes optional features for monitoring and analyzing trades:
 
 Floating Statistics Table:  Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown
 Trade Log Labels:  Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade
 CSV Export Fields:  Outputs trade data for external analysis
 
 Default Strategy Settings 
 Commission & Slippage: 
 
 Commission: 0.1% per trade
 Slippage: 3 ticks
 Initial Capital: $1,000
 Position Size: 100% of equity per trade
 
 Main Calculation Parameters: 
 
 Length: 70 (range: 70-7000) - Controls ZLEMA calculation period
 Band Multiplier: 1.2 - Adjusts width of volatility bands
 
 Entry Conditions (All Disabled by Default): 
 
 Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum
 Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends
 
 Short Trades: 
 
 Allow Short Trades: OFF - Strategy is long-only by default
 
 Performance Settings (All Disabled by Default): 
 
 Use Profit Target: OFF
 Profit Target Risk-Reward Ratio: 2.0 (when enabled)
 
 Dynamic TP/SL (All Disabled by Default): 
 
 Use ATR-Based Stop-Loss & Take-Profit: OFF
 ATR Length: 14
 Stop-Loss ATR Multiplier: 1.5
 Profit Target ATR Multiplier: 2.5
 Use ATR Trailing Stop: OFF
 Trailing Stop ATR Multiplier: 1.5
 Use Break-Even Stop-Loss: OFF
 Move SL to Break-Even After RR: 1.5
 Use Trend-Based Take Profit: OFF
 EMA Exit Length: 9
 
 Trade Data Display (All Disabled by Default): 
 
 Show Floating Stats Table: OFF
 Show Trade Log Labels: OFF
 Enable CSV Export: OFF
 Trade Label Vertical Offset: 0.5
 
 Backtesting Date Range: 
 
 Start Date: January 1, 2018
 End Date: December 31, 2069
 
 Important Usage Notes 
 
 Default Configuration:  The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled.
 Stop-Loss Priority:  If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled.
 Long-Only by Default:  Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions.
 Performance Monitoring:  Enable the floating stats table and trade log labels to visualize strategy performance during backtesting.
 Exit Mechanisms:  The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used.
 Re-Entry Logic:  When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid.
 Capital Efficiency:  Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance.
 Realistic Backtesting:  Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions.
 
 Recommended Use Cases 
 
 Trending Markets:  Best suited for markets with clear directional moves where trend-following strategies excel
 Medium to Long-Term Trading:  The default length of 70 makes this strategy more appropriate for swing trading rather than scalping
 Risk-Conscious Traders:  Multiple stop-loss options allow traders to customize risk management to their comfort level
 Backtesting & Optimization:  Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations
 
 Limitations & Considerations 
 
 Like all trend-following strategies, performance may suffer in choppy or ranging markets
 Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management
 Higher length values (70+) reduce signal frequency but may improve signal quality
 Multiple simultaneous risk management features may create conflicting exit signals
 Past performance shown in backtests does not guarantee future results
 
 Customization Tips 
For more aggressive trading:
 
 Reduce length parameter (minimum 70)
 Decrease band multiplier for tighter bands
 Enable short trades
 Use lower profit target R:R ratios
 
For more conservative trading:
 
 Increase length parameter
 Enable ZLEMA trend confirmation
 Use wider ATR stop-loss multipliers
 Enable break-even stop-loss
 Reduce position size from 100% default
 
For optimal choppy market performance:
 
 Enable ZLEMA trend confirmation
 Increase band multiplier
 Use tighter profit targets
 Avoid re-entry on trend continuation
 
 Visual Elements 
The strategy plots several elements on the chart:
 
 ZLEMA line (color-coded by trend direction)
 Upper and lower volatility bands
 Long entry markers (green triangles)
 Short entry markers (red triangles, when enabled)
 Stop-loss levels (when positions are open)
 Take-profit levels (when enabled and positions are open)
 Trailing stop lines (when enabled and positions are open)
 Optional ZLEMA trend markers (triangles at highs/lows)
 Optional trade log labels showing complete trade information
 
 Exit Reason Codes (for CSV Export) 
When CSV export is enabled, exit reasons are coded as:
 
 0 = Manual/Other
 1 = Trailing Stop-Loss
 2 = Profit Target
 3 = ATR Stop-Loss
 4 = Trend Change
 
 Conclusion 
Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms.
The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization.
 Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size. 
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 TAGS: 
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trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting
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 CATEGORY: 
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Strategies
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 CHART SETUP RECOMMENDATIONS: 
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For optimal visualization when publishing:
 
 Use a clean chart with no other indicators overlaid
 Select a timeframe that shows multiple trade signals (4H or Daily recommended)
 Choose a trending asset (crypto, forex major pairs, or trending stocks work well)
 Show at least 6-12 months of data to demonstrate strategy across different market conditions
 Enable the floating stats table to display key performance metrics
 Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible
 Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc.
 Make sure symbol information and timeframe are clearly visible
 
================================================================================
 COMPLIANCE NOTES: 
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✅ Open-source publication with complete code visibility
✅ English-only title and description
✅ Detailed explanation of methodology and calculations
✅ Realistic commission (0.1%) and slippage (3 ticks) included
✅ All default parameters clearly documented
✅ Performance limitations and risks disclosed
✅ No unrealistic claims about performance
✅ No guaranteed results promised
✅ Appropriate for public library (original trend-following implementation with ZLEMA)
✅ Educational disclaimers included
✅ All features explained in detail
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Wh testThis issue stems from a very specific issue in TradingView: When you make the chart "view-only" (i.e., viewable via a share link), the chart data can stream live, but the indicators' runtime engine is disabled.
I'll explain in detail below why this happens and how to fix it.
Hull Suite Strategy with Time FilterThis script is a Hull Moving Average–based trend system designed to visualize market direction and filter signals during specific trading hours.
It features:
Dual HMA bands for smoother trend detection
Color changes based on slope to highlight momentum
Optional time filter for signal control within session hours
Compact buy/sell signal markers
You can adjust HMA lengths, time filters, and visual options from the settings panel.
This script is intended for educational and analytical purposes only — not financial advice.
HV Spike Strategy (HVP + OR Breakout + Reversal + TP/SL Modes)Here is a script that I tried to make it simple, although it has several parameters, I will try to explain, here we go:
Logic: Open Range Breakout: otherwise knows as First Candle Rule, usually used for the first candle in the opening of a market session, in my strategy there is an option to use it even for Crypto that operate 24/7, how to do that? Simply by detecting Volatility from the HVP (Historical Volatility Percentile). Then the ORB logic kicks in and the first candle with high volatility gives the ranges for the trades. The proper HVP Activation Threshold has to be selected for each currency pair/index/crypto in order to have maximum profit.
Enter a trade: when the price goes 100% above/below the First Candle Rule Range. That way it is filtering fake breakouts. Also if the price reverses back into the range the strategy takes the opposite trade.
Exit a trade: SL/TP By percentage or ATR, selection in the input menu.
My intention is to avoid using lagging indicators or guessing of Price Action, purely Bull/Bear indication by the first candle.
I hope you find this helpful! Wishing all successful Trades!
SuperBulls - Trend Tracker StrategyA clean, reliable trend-following strategy built under the SuperBulls Universe.
Key Highlights:
 
 Captures major trend shifts with precision
 
 Uses adaptive moving averages for smooth market structure tracking
 
 Auto-generates buy and sell signals for clear execution
 
 Supports both intraday and swing trading styles
 
 Designed for simplicity, consistency, and visual clarity
 
Stay aligned with the market trend and Trade smart.
Trade with confidence with SuperBulls.
The Beginning MasterThe Beginning Master
Description:
The Beginning Master is a structured micro-futures scalping strategy engineered for small accounts, particularly those trading micro futures such as M2K (Micro Russell 2000), MNQ (Micro Nasdaq), or MES (Micro E-mini S&P 500).
It combines multiple layers of trend, momentum, and volatility logic to identify short-term directional opportunities while maintaining strict capital protection.
The system evaluates:
Trend bias using a dual-moving-average framework that reacts to shifts in short-term momentum.
Momentum strength and confirmation through adaptive readings of directional movement and relative-strength behavior to avoid low-energy markets.
Volatility awareness, adjusting stops and targets based on real-time range analysis so each trade risks only a small, consistent fraction of equity.
Session filters, restricting activity to high-liquidity U.S. hours for more stable fills.
Capital management tools, including a daily loss limit and a unique “profit floor” safeguard that locks gains once a target profit is reached, preventing drawdown from giving back realized profit.
The strategy is optimized for:
Micro-futures traders starting with modest capital (~$100)
Any micro futures instrument (M2K, MNQ, MES, etc.)
Fast execution via automated trade platforms (e.g., TradersPost)
Consistent, repeatable setups rather than prediction
Default settings:
Initial capital: $100
Daily loss cap: $15
Profit-floor protection: $25
Position size: 1 contract
Realistic commission and tick size from exchange data
⚠️ Disclaimer:
This publication is for educational and research purposes only.
It is not financial advice or a solicitation to trade.
Performance results are hypothetical and do not guarantee future returns.
ApexSniper v2 (Swing Optimized)More long term than the original Apex sniper, BETTER FOR SMALLER ACCOUNT SIZES. Scales more long term. trades take 4-8 days, but percent gained is way more.






















