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.
Análise de Tendência
New Rate - PREMIUM v2New Rate – Premium
Overview
New Rate – Premium is a breakout strategy built around a strict “one trade per day” rule. It forms an intraday range from the first N candles, freezes High/Low at the close of candle N, and places OCO stop orders exactly on those levels. The first breakout fills and the opposite order is canceled. Exits can be managed by fixed ticks or by risk/reward (RR). The script draws SL/TP boxes, keeps entry labels at a fixed distance from price, and lets you restrict trading to selected weekdays.
How it works
Window & count: set timeframe, session start, and N candles. Those candles are highlighted and used to compute the range High/Low.
Freeze: when candle N closes, the strategy locks High/Low and draws the lines; a 50% midline is optional.
OCO placement: buy-stop on High and sell-stop on Low (one-cancels-other). The first fill cancels the other side.
Exits:
– Ticks mode: SL/TP are fixed distances in ticks from entry.
– RR mode: SL at the opposite side of the range; TP = RR × risk.
Visual SL/TP boxes are drawn in both modes.
Daily lock: after the first fill, no more entries for that day.
Key features
First break only, one trade per day: hard discipline that avoids over-trading.
Automatic range end: timeframe × N candles (or manual end time).
Exact “at-the-break” entries: stop orders placed at frozen High/Low.
Flexible exits: fixed ticks or RR with opposite-side stop.
Clean visuals: High/Low and midline with configurable color/style/width; text alignment (left/center/right); session background with opacity.
SL/TP boxes: configurable colors, borders, width, and forward projection.
Entry labels with constant offset: “BUY” below bar, “SELL” above bar; distance in ticks so labels never sit on price.
Weekday filter: trade only the days you select (Mon–Fri).
Inputs (summary)
• Session & range: timeframe (minutes), start time, N candles, auto end (TF × N) or manual, line extension.
• Style: High/Low colors, styles, widths; midline on/off; label position; session background color and opacity.
• Exits: RR using the opposite extreme as SL, or “Use SL/TP by ticks”.
• SL/TP boxes: projection bars, SL color, TP color, border color and width, box limit.
• Weekdays: Monday–Friday selectors.
• Entry labels: show/hide, colors, size, vertical offset in ticks, optional X shift in bars.
Backtest snapshot — FX:XAUUSD 30m
Range: 02 Jan 2024 00:00 → 12 Sep 2025 12:00 • Symbol/TF: FX:XAUUSD / 30m
• Net Profit: $1,599.77
• Gross Profit / Gross Loss: $3,929.47 / $2,329.70
• Max Drawdown: $112.73 (4.93%)
• Total Trades / Win rate: 440 / 48.41%
• Avg Trade: $3.64 (0.04%); Avg Winner / Avg Loser: $18.45 / $10.26
• Profit Factor / Sharpe / Sortino: 1.687 / 1.163 / 6.876
• Largest Win / Loss: $91.94 / $10.26
• Avg Bars in Trade: 1 (long), 2 (short)
Why this strategy is original
First-bar breakout accuracy: orders arm exactly when the N-th candle closes, so the very next bar can fill at the true break. This avoids the common ORB miss where the first post-range bar is skipped by delayed checks or market orders.
OCO + daily lock as a core mechanic: the engine enforces one-and-done behavior—no soft rules, no hidden retries—so test results match live logic.
Two exit frameworks, one visual language: switch seamlessly between fixed-tick and structural RR exits while managing both with the same SL/TP boxes for consistent analysis and education.
Readability by design: label offset, aligned High/Low text, and tunable session background keep charts uncluttered during long optimizations or multi-asset reviews.
Operational guardrails: drawing budgets, box limits, and weekday filters are integrated so backtests remain stable and realistic with trading hours.
Focused ORB specialization: no oscillators, no hidden bias—transparent, testable, and purpose-built for the opening-range dynamic you configure.
Recommended use
• Session openings or early windows with a single, clean decision per day.
• Strict rules with exact entry levels and auditable exits.
• Benchmarking exits in both ticks and RR with apples-to-apples visuals.
Default strategy properties
• Initial capital: 10,000 USD; position sizing by % of equity (editable).
• Commissions default to 0% and slippage to 0; edit to match your broker/market.
• Drawing limits tuned to respect TradingView resource caps.
Best practices & compliance
• Educational use. Not financial advice.
• Past performance does not guarantee future results.
• Adjust slippage, commissions, and position sizing to your live context.
• Original implementation with documented mechanics; compliant with TradingView House Rules.
Example setup
TF 5m, start 08:00, N = 6 → auto end at 08:30
RR = 2 with SL at the opposite side of the range
Boxes: projection 10 bars; SL #9598a1; TP #ffbe1a; border #787B86; opacity 70
Days: Tuesday and Wednesday only
Labels: “BUY” below and “SELL” above, 10-tick offset
Glossary
• Opening range breakout (ORB): breakout of the configured initial range.
• One-cancels-other (OCO): filling one order cancels the other.
• Risk/reward (RR): target equals RR × risk distance.
• Tick: minimum price increment.
• Offset: fixed label separation from the bar extremum.
Trend Strength Index Long Strategy📈 Trend Strength Index Long Strategy
This strategy combines the Trend Strength Index (TSI) with a Volume-Weighted Moving Average (VWMA) to identify high-probability long entries based on trend momentum and price confirmation.
📊 TSI Calculation : Measures correlation between price and time (bar index) over a user-defined period. Strong TSI values indicate trend momentum.
📏 VWMA Filter : Confirms bullish bias when price is above the VWMA.
🚀 Entry Condition : Long position is triggered when TSI crosses above -0.65 and price is above VWMA.
🔒 Exit Condition : Position is closed when TSI crosses above 0.65.
🎨 Visuals : Gradient fills highlight bullish and bearish zones. VWMA is plotted for trend context.
🧮 TSI Length: Adjustable (default 14)
📐 VWMA Length: Adjustable (default 55)
💸 Commission: 0.1% per trade
📊 Position Size: 75% of equity
⚙️ Slippage: 10 ticks
✅ Best used in trending markets with steady momentum.
⚠️ Avoid in choppy or range-bound conditions.
Advanced Crypto Day Trading - Bybit Optimized mapercivEMA RSI ATR MACD trading script strategy with filters for weekdays
CycleVISION [BitAura]𝐂ycle𝑽𝑰𝑺𝑰𝑶𝑵
This Pine Script® indicator combines a long-term trend-following strategy with a cycle valuation Z-score analysis to generate a Trend Probability Indicator (TPI). The TPI aggregates signals from multiple trend and on-chain metrics to identify optimal entry and exit points for a single asset, with USD as a cash position. The system also calculates a comprehensive Z-score based on performance and valuation metrics to assess market cycles, aiming to enhance risk-adjusted returns for long-term investors.
Logic and Core Concepts
The 𝐂ycle𝑽𝑰𝑺𝑰𝑶𝑵 System uses two primary components to guide investing decisions:
1. Trend Probability Indicator (TPI)
Mechanism : Aggregates five proprietary, universal, trend signals and three on-chain metrics into a composite TPI score, normalized between -1 and 1.
Thresholds : Enters a long position when the TPI score exceeds a user-defined long threshold (default: 0.0) and exits to cash when it falls below a short threshold (default: -0.5).
Execution : Trades are executed only on confirmed bars within a user-specified backtest date range, ensuring robust signal reliability.
2. Cycle Valuation Z-Score
Mechanism : Computes an average Z-score from six metrics: Sharpe Ratio, Sortino Ratio, Omega Ratio, Weekly RSI, Crosby Ratio, and Price Z-Score, using a 1200-bar lookback period.
Purpose : Identifies overvalued or undervalued market conditions to complement TPI signals, with thresholds at ±1.8 for extreme valuations.
Visualization : Displays the average Z-score and individual components, with gradient-based bar coloring to reflect valuation strength.
Features
Dynamic Trend Signals : Combines trend and on-chain data into a single TPI score for clear long/cash decisions.
Comprehensive Valuation : Calculates Z-scores for multiple performance and price metrics to assess market cycles.
Customizable Inputs : Allows users to adjust TPI thresholds, backtest date ranges, and valuation metrics visibility.
Visual Outputs :
Valuation Table : Displays TPI score, Z-scores, and performance metrics (Sharpe, Sortino, Omega, Max Drawdown, Net Profit) in a configurable table (Lite, Medium, Full).
Equity Curve : Plots the system’s equity curve compared to buy-and-hold performance.
Price and TPI Plot : Overlays TPI-adjusted price bands with glow effects and filled gaps for trend visualization on the price chart.
Valuation Coloring : Applies backgrounds based on Z-score ranges (e.g., strong buy above 1.8, strong sell below -1.8).
Configurable Alerts : Notifies users of TPI signal changes (Long to Cash or Cash to Long) with detailed messages.
Color Presets : Offers five color themes (e.g., Arctic Blast, Fire vs. Ice) or custom color options for long/short signals.
Pine Script v6 : Leverages matrices, tables, and gradient coloring for enhanced usability.
How to Use
Add to Chart : Apply the indicator to any chart (the chart’s ticker is used for calculations, e.g., INDEX:BTCUSD ).
Configure Settings : Adjust TPI thresholds, backtest start date (default: 01 Feb 2018), and valuation metrics visibility in the Inputs menu.
Select Color Theme : Choose a preset color mode (e.g., Arctic Blast) or enable custom colors in the Colors group.
Monitor Outputs : Check the Valuation Table for TPI and Z-score data, and view the Price and TPI Plot for trend signals.
Analyze Performance : Enable the equity curve and performance metrics in the Backtesting Options group to compare results.
Set Alerts : Right-click a plot, select "Add alert," and choose "Trend Change: Long to Cash" or "Trend Change: Cash to Long" for notifications.
The system is optimized for daily timeframe and tested across various assets to ensure robustness.
Notes
The script is closed-source.
Use a standard price series (not Heikin Ashi or other non-standard types) for accurate results.
The script avoids lookahead bias by using barmerge.lookahead_off in request.security() calls.
A minimum 1200-bar lookback is mandatory for Z-score calculations to avoid errors, with warnings displayed if insufficient price history is available.
The BitAura watermark can be toggled in the Table Settings group.
Disclaimer : This script is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and apply proper risk management.
MS - Crypto RSI-Based Trading StrategyThis is a comprehensive trend-following and momentum-based strategy designed for the cryptocurrency market. It combines multiple leading indicators to filter out market noise and generate high-quality buy and sell signals.
Key Indicators:
Moving Average (MA): To determine the main trend direction.
Relative Strength Index (RSI): To measure momentum and identify overbought/oversold conditions.
Directional Movement Index (DMI): To confirm the strength of the trend.
Volume & ATR: To validate market interest and filter out excessive volatility.
Buy Conditions (All Must Be True):
Price and Trend Alignment: The current price is above the MA50 (with a 5% buffer).
Momentum Confirmation: The RSI is between 50 and 70.
Trend Strength: The +DI is greater than the -DI.
Market Interest: Volume is 1.5 times its moving average.
Low Volatility: The ATR is below its average.
Sell Conditions (Any One Is True):
Trend Reversal: The price drops below the MA50 (with a 5% buffer).
Momentum Loss: The RSI drops below 45.
Trend Weakness: The -DI crosses above the +DI.
Market Fatigue: Volume drops below 50% of its moving average.
High Volatility: The ATR is above its average.
Disclaimer: This is a backtesting tool and not financial advice. Past performance is not an indicator of future results. Always use proper risk management and conduct your own research before trading.
Pivot Points Strategy🟢 It enters long trades near support zones (S1–S3)
🔴 It enters short trades near resistance zones (R1–R3)
🎯 All positions aim to exit at the central pivot (P).
🚫 It avoids trading when price crosses the pivot during the bar.
🔄 Strategy resets when a new pivot is calculated.
📊 Supports pyramiding up to 5 positions for scaling in.
Chiến lược Lọc Tín hiệu (Cooldown & ATR)Chiến lược Lọc Tín hiệu (Cooldown & ATR)
Chiến lược Lọc Tín hiệu (Cooldown & ATR)
Lavender Multi-Signal Momentum StrategyOverview
The Lavender strategy is a sophisticated momentum-based trading system specifically optimized for Tesla (TSLA) on the 15-minute timeframe. It combines multiple technical signals to identify high-probability long entries during strong trending conditions.
Key Features
🎯 Multi-Signal Entry System
The strategy uses 4 distinct signal types that can be enabled/disabled individually:
Supertrend Pullback (Default: ON)
Identifies pullbacks in uptrends using Supertrend (ATR: 9, Factor: 0.5)
Enters when price retests EMA9-20 zone during bullish Supertrend
Donchian Breakout + Z-Score Momentum (Default: ON)
53-period Donchian channel breakouts
Combined with 35-period Z-Score momentum filter
Only triggers with positive momentum confirmation
Keltner Squeeze Expansion (Default: OFF)
Detects volatility squeeze conditions
Enters on breakout above Keltner Channel after compression
Opening Range Breakout (ORB) (Default: ON)
Tracks first hour range (9:30-10:30 AM)
Triggers on breakout above opening range high
🧭 Trend Regime Filter
EMA Trend Filter: 20 EMA > 100 EMA (Default: ON)
ADX Strength Filter: ADX > 22 with 15/13 smoothing (Default: ON)
Only trades when both trend conditions align
💵 Advanced Risk Management
Risk per Trade: 2.0% of capital (Default)
ATR-Based Stop Loss: 15-period ATR × 1.6 multiplier
Risk/Reward Ratio: 4:1 (Default)
Position Sizing: Automatic based on stop distance
Capital Options: Dynamic equity or fixed capital ($200,000 default)
⚙️ Execution Control
Candle Close Entries: Prevents intrabar noise (Default: ON)
Candle Close Exits: Stop loss and take profit only at bar close (Default: ON)
Trading Session: 9:00 AM - 4:00 PM (Default)
Trading Days: Monday-Saturday (Default: 123456)
Default Settings Summary
ParameterDefault ValuePurposeRisk per Trade2.0%Capital risk percentageATR Length15Stop loss calculationATR Multiplier1.6Stop distance factorRisk/Reward4.0Take profit multiplierEMA Fast20Short-term trendEMA Slow100Long-term trendADX Threshold22Minimum trend strengthMin Signals Required1Entry trigger thresholdInitial Capital$200,000Backtesting capital
How It Works
Trend Confirmation: Checks EMA alignment and ADX strength
Signal Generation: Scans for active momentum signals
Entry Execution: Enters when minimum signal threshold is met
Risk Management: Calculates position size based on ATR stop
Exit Management: Manages trades with 4:1 risk/reward ratio
Best Use Cases
Tesla (TSLA) on 15-minute charts
Trending market conditions
Intraday momentum trading
Markets with clear directional bias
Visual Indicators
Blue Line: 100-period EMA (trend filter)
Green/Red Line: Supertrend indicator
Teal Line: Donchian channel high
Purple Triangles: Keltner breakout signals
Orange Arrows: Opening range breakouts
Green Dots: Combined entry signals
Red/Green Lines: Active stop loss and take profit levels
Risk Disclaimer
This strategy is optimized for Tesla's specific price behavior on 15-minute timeframes. Past performance does not guarantee future results. Always test thoroughly and manage risk appropriately.
Created by kevloewe - Specialized for TSLA 15M momentum trading
MS - Çoklu Onay Stratejisi (AL-SAT)"VOLUME, MA50, RSI, DMI, ATR
5 conditions, all turning positive at the same time gives a buy signal; one of them turning negative gives a sell signal. This should be evaluated with weekly data. Not financial advice."
AVWAP+RSI Confluence — 1R TesterRSI + 1R ATR - Monthly P\&L (v4)
WHAT THIS STRATEGY DOES (OVERVIEW)
* Pine strategy (v4) that combines a simple momentum trigger with a symmetric 1R ATR risk model and an on-chart Monthly/Yearly P\&L table.
* Momentum filter: trades only when RSI crosses its own SMA in the direction of the trend (price vs Trend EMA).
* Risk engine: exits use fixed 1R ATR brackets captured at entry (no drifting targets/stops).
* Accounting: the table aggregates percentage returns by month and year using strategy equity.
ENTRY LOGIC (LONGS & OPTIONAL SHORTS)
Indicators used:
* RSI(rsiLen) and its SMA: SMA(RSI, rsiMaLen)
* Trend filter: EMA(emaTrendLen) on price
Longs:
1. RSI crosses above its RSI SMA
2. RSI > rsiBuyThr (filters weak momentum)
3. Close > EMA(emaTrendLen)
Shorts (optional via enableShort):
1. RSI crosses below its RSI SMA
2. RSI < rsiSellThr
3. Close < EMA(emaTrendLen)
EXIT LOGIC AND RISK MODEL (1R ATR)
* On entry, snapshot ATR(atrLen) into atrAtEntry and the average fill price into entryPx.
* Longs: stop = entryPx - ATR \* atrMult; target = entryPx + ATR \* atrMult
* Shorts: mirrored.
* Stops and targets are posted immediately and remain fixed for the life of the trade.
POSITION SIZING AND COSTS
* Default position size: 25% of equity per trade (adjustable in Properties/inputs).
* Commission percent and a small slippage are set in strategy() so backtests include friction by default.
MONTHLY / YEARLY P\&L TABLE (HOW IT WORKS)
* Uses strategy equity to compute bar returns: equity / equity\ - 1.
* Compounds bar returns into current month and current year; commits each finished period at month/year change (or last bar).
* Renders rows as years; columns Jan..Dec plus a Year total column.
* Cells colored by sign; precision and maximum rows are controlled by inputs.
* Values represent percentage returns, not currency P\&L.
VISUAL AIDS
* Two pivot trails (pivot high/low) are plotted for context only; they do not affect entries or exits.
CUSTOMIZATION TIPS
* Raise rsiBuyThr (long) or lower rsiSellThr (short) to filter weak momentum.
* Increase emaTrendLen to tighten trend alignment.
* Adjust atrLen and atrMult to fit your timeframe/instrument volatility.
* Leave enableShort = false if you prefer long-only behavior or shorting is constrained.
NON-REPAINTING AND BACKTEST NOTES
* Signals use bar-close crosses of built-in indicators (RSI, EMA, ATR); no future bars are referenced.
* calc\_on\_every\_tick = true for responsive visuals; Strategy Tester evaluates on bar close in history.
* Backtest stop/limit fills are simulated and may differ from live execution/liquidity.
DISCLAIMERS
* Educational use only. This is not financial advice. Markets involve risk. Past performance does not guarantee future results.
INPUTS (QUICK REFERENCE)
* rsiLen, rsiMaLen, rsiBuyThr, rsiSellThr
* emaTrendLen
* atrLen, atrMult, enableShort
* leftBars, rightBars, prec, showTable, maxYearsRows
SHORT TAGLINE
RSI momentum with 1R ATR brackets and a built-in Monthly/Yearly P\&L table.
TAGS
strategy, RSI, ATR, trend, risk-management, backtest, Pine-v4
ENAUSDT.P Strategy – Alerts Ready (JSON)Ena/usdt trend trading strategy.
Backtesting results:
Starting date: 2 September 2025
7 days:
PnL: +13.91 (+1.39%)
Max drawdown: -17.68 (-1.73%)
Total trades: 22
Win rate: 63.64%
Profit factor: 1.82
30 days:
PnL: +81.16 (+8.12%)
Max drawdown: -26.38 (-2.51%)
Total trades: 89
Win rate: 68.54%
Profit factor: 2.52
90 days:
PnL: +270.64 (+27.06%)
Max drawdown: -36.29 (-3.34%)
Total trades: 273
Win rate: 67.09%
Profit factor: 2.72
365 day:
PnL: +702.89 (+70.29%)
Max drawdown: -130.40 (-10.16%)
Total trades: 986
Win rate: 65.42%
Profit factor: 1.67
AI KNN-Dual SuperTrend MTF - by Trading Pine Lab🇬🇧
The AI KNN-Dual SuperTrend MTF is a next-generation trading strategy that merges two higher-timeframe SuperTrends with dual KNN (K-Nearest Neighbors) classifiers, an ADX/DMI filter, and a Pivot Percentile bias module. This layered architecture ensures stronger signal confirmation by requiring consensus across AI models, multi-timeframe SuperTrends, and statistical filters.
Entries occur only when both SuperTrends align with bullish or bearish KNN labels, while the ADX/DMI filter validates momentum. Exits are managed dynamically with adaptive trailing stops (ST ± ATR × factor) or when market conditions flip according to percentile bias.
All parameters are fully configurable:
-Trading direction filter: Long / Short / Both.
-KNN classifiers: neighbors (K), dataset size (N), smoothing lengths.
-Dual SuperTrend: higher timeframes, ATR length, ATR factor, baseline type.
-ADX/DMI filter: customizable length and timeframe.
-Pivot Percentile module: multi-scale statistical bias.
-Visualization: AI markers, ribbons, aura lines, and per-trend coloring.
Flex-ATR SuperTrend - by Trading Pine Lab🇬🇧
The Flex-ATR SuperTrend is a versatile trading strategy that enhances the classic SuperTrend with adjustable ATR methods, a custom date-range filter, and modern visual styling. By allowing a switch between standard ATR and SMA-based TR, the baseline adapts better to different volatility regimes and market conditions.
Entries are triggered when the SuperTrend flips bullish, while exits occur when it flips bearish. A highlight cloud emphasizes the active trend, and optional BUY/SELL labels provide clear visual confirmation of entry and exit signals.
All parameters are fully configurable:
-ATR settings: period and multiplier, with toggle between classic ATR and SMA-based TR.
-Date range filter: define exact backtesting windows.
-Signal visualization: optional BUY/SELL labels.
-Highlight cloud: cyan/magenta overlay for trend emphasis.
-Customization: enable/disable signals and visuals for a clean or detailed interface.
Dual-BB SuperTrend - by Trading Pine Lab🇬🇧
The Dual-BB SuperTrend is a fusion strategy that builds a BBTrend oscillator from two Bollinger Bands (short & long lookbacks) and then runs a SuperTrend over that oscillator to time entries and exits. The BBTrend captures expansion/contraction between the two bands (structural momentum), while the SuperTrend converts that flow into clear directional flips.
Entries occur on SuperTrend direction flips over the BBTrend series (Long when ST turns bullish, Short when it turns bearish). Optional percentage TP/SL can be applied on top. The chart includes a blue/orange theme for the BBTrend histogram with a subtle glow around the zero line, and BUY/SELL label markers with arrows for clean visual confirmation.
All parameters are fully configurable:
-Trading direction filter: Long / Short / Both.
-Bollinger settings: short length, long length, standard-deviation multiplier.
-SuperTrend over BBTrend: length and ATR factor, contrarian labels toggle, bull/bear colors.
-Risk controls: Take-Profit % and Stop-Loss % with TP/SL/Both/None mode.
-Visualization: BBTrend column colors (blue/orange, strong/weak), zero-line glow, BUY/SELL label styling.
Gaussian Trend Rider - by Trading Pine Lab🇬🇧
The Gaussian Trend Rider is a clean and effective trend-following strategy based on a simulated Gaussian filter (double SMA smoothing).
Long entries are triggered when the price closes above the Gaussian trend line, and positions are exited when the price closes back below it.
The strategy is designed to keep trading simple while still offering visual clarity:
A dynamic trend line that adapts with price.
An optional ATR-based "waterfall cloud", adding subtle context about volatility and confidence.
Entry and exit markers for clear visual confirmation.
This minimalistic approach is ideal for traders who prefer riding established trends without overcomplicating the setup.
Configurable parameters:
-Trend Length (Gaussian smoothing window).
-Styling options (line width, static/dynamic coloring, markers, ATR cloud).
𝐍𝐄𝐔𝐑𝐀𝐋 𝐍𝐄𝐓𝐖𝐎𝐑𝐊神经网络交易系统全网都在疯狂寻找的神经网络交易系统
策略通过整合多种技术指标（如EMA、Supertrend、HMA、PSAR、RSI、MACD、WaveTrend、Stochastic、Bollinger Bands、ATR、RVI、OBV、CMF、VWAP、K线形态等），生成综合交易信号。策略采用评分系统，根据各指标的权重累积分数，触发强/弱多头和空头信号，并结合趋势过滤（可选）和止损机制进行交易管理。
The neural network trading system that the entire network is frantically searching for
The strategy integrates multiple technical indicators (such as EMA、Supertrend、HMA、PSAR、RSI、MACD、WaveTrend、Stochastic、Bollinger Bands、ATR、RVI、OBV、CMF、VWAP、K Generate comprehensive trading signals based on line shapes, etc. The strategy adopts a scoring system, accumulates scores based on the weights of each indicator, triggers strong/weak long and short signals, and combines trend filtering (optional) and stop loss mechanism for trading management.
Trend MasterOverview
The Strategy is a trend-following trading system designed for forex, stocks, or other markets on TradingView. It uses pivot points to identify support and resistance levels, combined with a 200-period Exponential Moving Average (EMA) to filter trades. The strategy enters long or short positions based on trend reversals during specific trading sessions (London or New York). It incorporates robust risk management, including position sizing based on risk percentage or fixed amount, trailing stop-losses, breakeven moves, and weekly/monthly profit/loss limits to prevent overtrading.
This script is ideal for traders who want a semi-automated approach with visual aids like colored session backgrounds, support/resistance lines, and a performance dashboard. It supports backtesting from a custom start date and can limit trades to one per session for discipline. Alerts are built-in for entries, exits, and stop-loss adjustments, making it compatible with automated trading bots.
Key Benefits:
Trend Reversal Detection: Spots higher highs/lows and lower highs/lows to confirm trend changes.
Session Filtering: Trades only during high-liquidity sessions to avoid choppy markets.
Risk Control: Automatically calculates position sizes to risk only a set percentage or dollar amount per trade.
Performance Tracking: Displays a table of weekly or monthly P&L (profit and loss) with color-coded heatmaps for easy review.
Customizable: Adjust trade direction, risk levels, take-profit ratios, and more via inputs.
The strategy uses a 1:1.2 risk-reward ratio by default but can be tweaked.
How It Works
Trend Identification:
The script calculates pivot highs and lows using left (4) and right (2) bars to detect swing points.
It identifies patterns like Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) to determine the trend direction (uptrend if above resistance, downtrend if below support).
Support (green dotted lines) and resistance (red dotted lines) are drawn dynamically and update on trend changes.
Bars are colored blue (uptrend) or black (downtrend) for visual clarity.
Entry Signals:
Long Entry: Price closes above the 200 EMA, trend shifts from down to up (e.g., breaking resistance), during an active session (London or NY), and no trade has been taken that session (if enabled).
Short Entry: Price closes below the 200 EMA, trend shifts from up to down (e.g., breaking support), during an active session, and no prior trade that session.
Trades can be restricted to "Long Only," "Short Only," or "Both."
Entries are filtered by a start date (e.g., from January 2022) and optional month-specific testing.
Position Sizing and Risk:
Risk per trade: Either a fixed dollar amount (e.g., $500) or percentage of equity (e.g., 1%).
Quantity is calculated as: Risk Amount / (Entry Price - Stop-Loss Price).
This ensures you never risk more than intended, regardless of market volatility.
Stop-Loss (SL) and Take-Profit (TP):
SL for Longs: Set below the recent support level, adjustable by a "reduce value" (e.g., tighten by 0-90%) and gap (e.g., add a buffer).
SL for Shorts: Set above the recent resistance level, with similar adjustments.
TP: Based on risk-reward ratio (default 1.2:1), so if SL is 100 pips away, TP is 120 pips in profit.
Visual boxes show SL (red) and TP (green) on the chart for the next 4 bars after entry.
Trade Management:
Trailing SL: Automatically moves SL to the new support (longs) or resistance (shorts) if it tightens the stop without increasing risk.
Breakeven Move: If enabled, SL moves to entry price once profit reaches a set ratio of initial risk (default 1:1). For example, if risk was 1%, SL moves to breakeven at 1% profit.
One Trade Per Session: Prevents multiple entries in the same London or NY session to avoid overtrading.
Sessions include optional weekend inclusion and are highlighted (blue for London, green for NY).
Risk Limits (Weekly/Monthly):
Monitors P&L for the current week or month.
Stops trading if losses hit a limit (e.g., -3%) or profits reach a target (e.g., +7%).
Resets at the start of each new week/month.
Alerts notify when limits are hit.
Exits:
Trades exit at TP, SL, or manually via alerts.
No time-based exits; relies on price action.
Performance Dashboard:
A customizable table (position, size, colors) shows P&L percentages for each week/month in a grid.
Rows = Years, Columns = Weeks (1-52) or Months (1-12).
Color scaling: Green for profits (darker for bigger wins), red for losses (darker for bigger losses).
Yearly totals in the last column.
Helps visualize strategy performance over time without manual calculations.
Input Parameters Explained
Here's a breakdown of the main inputs for easy customization:
Trade Direction: "Both" (default), "Long Only," or "Short Only" – Controls allowed trade types.
Test Only Selected Month: If true, backtests only the specified month from the start year.
Start Year/Month: Sets the backtest start date (default: Jan 2022).
Include Weekends: If true, sessions can include weekends (rarely useful for forex).
Only One Trade Per Session: Limits to one entry per London/NY session (default: true).
Risk Management Time Frame: "Weekly" or "Monthly" – For P&L limits.
Enable Limits: Toggle weekly/monthly stop trading on loss/profit thresholds.
Loss Limit (%)/Profit Target (%): Stops trading if P&L hits these (e.g., -3% loss or +7% profit).
London/New York Session: Enable/disable, with time ranges (e.g., London: 0800-1300 UTC).
Left/Right Bars: For pivot detection (default: 4 left, 2 right) – Higher values smooth signals.
Support/Resistance: Toggle lines, colors, style, width.
Change Bar Color: Colors bars based on trend.
TP RR: Take-profit risk-reward (default: 1.2).
Stoploss Reduce Value: Tightens SL (negative values widen it, 0-0.9 range).
Stoploss Gap: Adds a buffer to SL (e.g., 0.1% away from support).
Move to Breakeven: Enables SL move to entry at a profit ratio (default: true, 1:1).
Use Risk Amount $: If true, risks fixed $ (e.g., 500); else, % of equity (default: 1%).
EMA 3: The slow EMA period (default: 200) for trend filter.
Performance Display: Toggle table, location (e.g., Bottom Right), size, colors, scaling for heatmaps.
Setup and Usage Tips
Add to Chart: Copy the script into TradingView's Pine Editor, compile, and add to your chart.
Backtesting: Use the Strategy Tester tab. Adjust inputs and test on historical data.
Live Trading: Connect alerts to a broker or bot (e.g., via webhook). The script sends JSON-formatted alerts for entry, exit, SL moves, and limits.
Best Markets: Works well on crypto pairs like SOLUSD or RUNEUSD on 4H timeframes.
Risk Warning: This is not financial advice. Always use demo accounts first. Past performance doesn't guarantee future results. Commission is set to 0.05% by default – adjust for your broker.
Customization: Experiment with EMA length or RR ratio for your style.
Optimised EURGBP (IC Markets, 30m)Illyad Strategy 1.0 – Optimised EURGBP (IC Markets, 30m)
Description:
This is the Illyad Strategy 1.0 optimised for EURGBP on the 30-minute timeframe (IC Markets feed).
📊 Results (Jan 2024 – Aug 2025):
✅ Total P&L: +£31,032.15 (+31.03%)
📉 Max Drawdown: 2.86% (£3,576.85)
🔁 Total Trades: 39
📈 Win Rate: 58.97%
⚖️ Profit Factor: 2.92
This strategy focuses on controlled drawdown + consistent growth, making it ideal for prop trading challenges and long-term account compounding.
🔧 Optimisation:
Works best on the 30m timeframe.
Each symbol behaves differently — for maximum performance, you should optimise the parameters (MAs, SL/TP, intensity) to the instrument you want to trade.
Example: The EURGBP setup shown here differs from what you’d use on NASDAQ, XAUUSD, or stocks like Tesla.
💡 Best Use Cases:
Passing and scaling prop firm accounts (FTMO, AquaFunded, etc.).
Automated alerts → MT5 integration (hands-free trading).
Consistent, rule-based trading without emotion.
⚠️ Disclaimer:
This script is for educational purposes only. Past results don’t guarantee future performance. Always backtest and forward-test on demo before live trading.
📲 Next Steps:
This version shows the EURGBP optimisation. If you want to run it on other pairs, indices, or stocks → simply optimise parameters for that symbol.
👉 For full automation (TradingView → MT5 execution), check my profile for details.
ORB FVG Strategy with telegram V6.1Summary
Intraday NY-session strategy with Opening-Range bias (09:30–10:00 NY), FVG entries (incl. optional HTF FVGs), momentum filters (LinReg slope & Williams %R), limit entries inside the zone, SL from FVG anchors, and TP via risk-reward. Includes session/trade caps, pending-order handling, auto-cancel at NY time, and optional Telegram webhook alerts.
Feature Overview
Opening Range & Bias: OR high/low built until 10:00 NY, then frozen. Bias from confirmed 5-minute candles (modes: Body Close, Complete Candle, Wick Only).
FVG Scanner: Bull/bear FVGs (choose wick or body gaps), min size, auto-extend, mitigation cleanup (touch or 50%).
HTF FVG (10 min): Optional – displayed after ≥ 2 consecutive FVGs; cleans up on touch/50%.
Entry/SL/TP: Entry at X% fill (+extra %) within the FVG; SL from FVG candle / FVG-1 / FVG-2 (smart) + buffer; TP via risk-reward.
Momentum Filters: LinReg slope (MLL) + Williams %R with threshold/slope filters (individually switchable).
Intrabar Mode (optional): Immediate Open/intrabar entry on touch (calc_on_every_tick=true) or classic bar-close confirmation (toggle).
Trade Management: Max trades/day, pending cap, auto-cancel at defined NY time, pause after first winner (optional).
Telegram: Programmatic alerts via alert() with Telegram-ready JSON payload.
Parameters (compact)
Group Parameter Purpose
Sessions Trading session, Opening range Trading/OR window (internal NY TZ)
Bias Body Close / Complete Candle / Wick Only Bias confirmation relative to OR
Liquidity LQ session, lookback days, cleanup points, show lines Intraday liquidity marks & cleanup
FVG Min size, wick/body, colors, extend, cleanup Detection/visualization & validity
HTF FVG (10 m) Toggle/Display/Colors Conservative HTF filter/POI
Entry Fill %, extra %, max pending, validity (bars), cancel time, intrabar switch Execution timing, order caps, auto-cancel
Stop Loss Source: Candle / -1 / -2 (smart), buffer (points) SL anchor from FVG history + safety offset
Take Profit Risk-Reward (R:R) Target calculation
Momentum LinReg length/min slope, W%R length/min slope, HUD Trend/momentum filters
Trade Mgmt Max trades/day, pause after win Daily cap / risk cooldown
Telegram Enabled, tester, interval, channel id Webhook output & test signals
Debug & Info Debug panel, rejection reasons On-chart status/diagnostics
Alerts / Telegram Webhook (Quick Setup)
Create an alert with Condition: “Any alert() function call”.
Webhook URL: api.telegram.org
Message: leave empty (the strategy provides JSON via alert() – includes chat_id, parse_mode, text).
Ensure your bot can post to the channel and the chat_id is valid.
Repainting & Backtesting
HTF series via lookahead_off on closed higher-TF candles; FVG detection on confirmed bars (barstate.isconfirmed).
Intrabar/Open entries allow earlier fills but typically cause differences between backtest and live (tick granularity/slippage, limit touch on bar OHLC).
For reproducibility, trade without intrabar (bar-close only).
Limitations
No full tick simulation; limit fills rely on bar OHLC.
Liquidity “cleanup” is rule-based (not an orderbook).
Telegram depends on correct webhook configuration.
Tips
Timeframes: M5 (intrabar)
Start with modest R:R (e.g., 1.5–2.0) and tune filters carefully.
Disclaimer
No financial advice. Past results do not guarantee future performance. Use responsibly and follow Public Library rules.
License / Credits
© 2025 Lean Trading (Lennart Pomreinke). License: MPL-2.0.
Changelog
V06.1: Intrabar switch (Open/intrabar vs bar-close), Telegram sanitizer & tester, HTF-FVG cleanup, refined pending/cancel logic, debug panel (status & rejections).
Golden Cross + Support/Resistance + SL/TP + SignalsGolden Cross + Support/Resistance + SL/TP + Signals
Golden Cross + Support/Resistance + SL/TP + Signals
