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.
CHoCH Block Strategy 2Experimental strategy that uses fractals to find pivot points. Based on these pivot points it determines CHoCH points and opening places.
Channel Breakout Gold For 15m 1hChannel Breakout – ATR Buffer + RR Fix
This strategy is designed for Gold (XAUUSD) on 15m and 1h timeframes, based on the “Channel Breakout” concept.
When price closes above or below the channel (highest/lowest over a given length), a Buy or Sell signal is triggered with automatic TP and SL placement.
Key Features:
✅ Uses ATR buffer to filter out false breakouts
✅ Customizable Risk:Reward Ratio (RR) for precise trade management
✅ Stop Loss automatically placed at the opposite channel for strong protection
✅ Real-time plotting of TP and SL lines for better visualization
✅ Works well for both Day Trading and Swing Trading
Best suited for traders who want:
- Clear breakout entries
- Robust risk management
- A versatile strategy adaptable to multiple timeframes
⚠️ Note:
- This strategy is for educational and testing purposes only, not financial advice.
- Always backtest/forward test and adjust parameters to fit your trading style and instrument.
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กลยุทธ์ Channel Breakout – ATR Buffer + RR Fix
กลยุทธ์นี้ออกแบบมาเพื่อใช้กับทองคำ (XAUUSD) ใน Timeframe 15m และ 1h โดยอิงตามหลักการ “Channel Breakout”
เมื่อราคาเบรกกรอบบนหรือล่างของราคาย้อนหลัง (Channel Length) จะเกิดสัญญาณ Buy หรือ Sell ตามทิศทาง พร้อมกำหนดจุด TP และ SL อัตโนมัติ
คุณสมบัติเด่น:
✅ ใช้ ATR เป็น Buffer เพื่อลดสัญญาณหลอก (False Breakout)
✅ กำหนด Risk:Reward Ratio (RR) ได้เอง ทำให้ควบคุมกำไร/ขาดทุนต่อไม้ได้ชัดเจน
✅ SL ถูกตั้งที่กรอบตรงข้าม (Opposite Channel) เพื่อให้ป้องกันการกลับตัว
✅ แสดงเส้น TP/SL บนกราฟแบบ Real-Time ให้ผู้ใช้งานเห็นจุดออกชัดเจน
✅ ใช้งานได้ทั้ง Day Trade และ Swing Trade
เหมาะสำหรับเทรดเดอร์ที่ต้องการ:
- ระบบเบรกกรอบที่ชัดเจน
- การจัดการความเสี่ยงที่แม่นยำ
- กลยุทธ์ที่สามารถปรับใช้ได้กับหลาย Timeframe
⚠️ หมายเหตุ:
- กลยุทธ์นี้เป็นเครื่องมือช่วยวิเคราะห์ ไม่ใช่คำแนะนำการลงทุนโดยตรง
- ควรทดสอบ (Backtest/Forward test) และปรับค่าพารามิเตอร์ให้เหมาะกับสไตล์การเทรดและสินทรัพย์ที่ใช้งาน
CryptoThunder Storm v1.21CryptoThunder Storm v1.21 — Strategy (non-repainting, HTF-aware)
CryptoThunder Storm is a Pine v6 strategy that trades the cross of two moving-average variants computed on an alternate (higher) timeframe derived from your current chart. It’s built to be non-repainting by evaluating signals only at HTF bar boundaries and by avoiding lookahead. The script can trade LONG, SHORT, BOTH, or be disabled, and it includes a one-click invert Long/Short mode.
How it works
Two MA streams (Open/Close series).
You can choose from multiple MA types (SMA/EMA/DEMA/TEMA/WMA/VWMA/SMMA/Hull/LSMA/ALMA/SSMA/TMA). The script computes:
closeSeries – MA of the (possibly delayed) close
openSeries – MA of the (possibly delayed) open
Alternate Resolution (HTF).
The inputs allow you to multiply your current chart’s timeframe (e.g., on 5m with multiplier 3 → HTF = 15m). Both series are requested via request.security() with lookahead_off.
Non-repainting gating.
Signals are evaluated once per HTF bar (htfClosed gate). This ensures entries/alerts are aligned with HTF boundaries and prevents forward-shifting.
Entry logic.
Long when closeSeriesAlt crosses above openSeriesAlt.
Short when closeSeriesAlt crosses below openSeriesAlt.
Invert mode swaps these actions (a former long signal opens a short, and vice versa).
Orders are processed on bar close (process_orders_on_close=true).
Risk management (optional).
Optional initial TP/SL exits via strategy.exit() (ticks/points). Set 0 to disable.
Visuals.
The script colors bars (optional) and plots the two HTF series with a filled band, plus compact UP/DN/CL markers that match the executed side after inversion/filtering.
Inputs & configuration
Use Alternate Resolution?
Turns the HTF logic on/off. When off, the strategy uses the chart timeframe.
Multiplier for Alternate Resolution
Multiplies the current timeframe to form the HTF (e.g., 3×).
MA Type / Period / Offsets
MA Type — choose from 12 variants.
MA Period — core length.
Offset for LSMA / Sigma for ALMA — MA-specific tuning.
Offset for ALMA — center of mass for ALMA.
Delay Open/Close MA — shifts the source back by n bars for a more conservative (non-peek) calculation. Keep at 0 unless you know you want extra delay.
Show coloured Bars to indicate Trend?
Colors bars relative to HTF band.
What trades should be taken: LONG / SHORT / BOTH / NONE
Filters which sides are actually traded.
Invert Long/Short logic?
Swaps long ↔ short everywhere (orders, markers, JSON alerts).
Backtest window (Number of Bars for Back Testing)
Crude limiter to speed up testing. 0 = test full history.
TP/SL (Initial Stop Loss / Target Profit Points)
Values in ticks/points. 0 disables. They apply to both sides via strategy.exit().
Alert options
Turn on alerts (JSON)
Show alert marks (UP/DOWN/CLOSE)
Send CLOSE alerts (toggle)
The strategy fires alert() internally. Create an alert on “Any alert() function call”.
The payload is a simple JSON string:{ "text":"C98USDT.P UP"}
Messages:
UP — a long entry was executed (or, with Invert on: the inverted long signal that opens a long).
DOWN — a short entry executed.
CLOSE — position closed or flipped.
Tip: If you want to route long/short to different webhooks, parse the text field for UP, DOWN, or CLOSE
Plotting & markers
Band: Fills between the two HTF MA lines.
Bar color (optional): Quick visual trend cue.
Markers:
▲ “UP” below bar when a long executes.
▼ “DN” above bar when a short executes.
✖ “CL” on position close/flip.
These reflect the final executed side, after trade filters and after Invert mode
Best practices & notes
Non-repainting design.
request.security(..., lookahead_off) prevents future data leakage.
Signals are gated to HTF bar boundaries, so you won’t get intra-HTF recalculations.
Strategy orders are processed at bar close.
Choosing the multiplier.
A 2×–4× multiplier often balances responsiveness vs stability (e.g., 5m→15m or 20m). Larger multipliers reduce churn and false signals.
TP/SL units.
Values are in ticks/points of the chart symbol. On crypto, check your instrument’s tick size and adjust accordingly.
Trade filters apply after inversion.
With invertLS = true and tradeType = LONG, only final longs (post-inversion) are allowed.
Strategy vs chart counts.
The Tester reports closed trades; your chart shows entries/markers including the latest open trade. This can explain 8 vs 12 discrepancies over short windows.
Performance.
calc_on_every_tick=false and the backtest limiter keep the script responsive on long histories.
Tips: user on mid-volume crypto pair, 1M chart, best MA is: SMMA, Hull, SSMA, DEMA, TEMA.
This strategy is for research and education. Markets carry risk; past performance doesn’t guarantee future results. Always forward-test on paper and validate your exchange execution, tick size, and fees before deploying live.
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.
ECG Sanbot IndicatorNot my best but my first strategy to pass prop firms. Strength based signals. Change the length and repainting settings before setting alerts up.
First strategy to pass my prop firm. Change the tf and length to see reliable signals. Option to remove repainting if you want to set alerts. Not the best compared to my other scripts but will always get you in the green.
Core Logic
Calculates a double-smoothed EMA source on a higher timeframe (tf input).
Builds two RSI streams:
Repainting RSI (lookahead on) → reacts quickly to market changes.
Non-repainting RSI (lookahead off) → provides stable, confirmed values.
Computes the ECG difference between the two RSI streams.
Generates a buy signal when the ECG difference crosses above the upper threshold.
Generates a sell signal when the ECG difference crosses below the lower threshold.
Risk Management
Each trade uses a fixed trade size (trade_size).
Built-in stop-loss and take-profit controls:
Stop Loss: default 0.1% from entry price.
Take Profit: default 0.2% from entry price.
Both long and short entries are supported (direction selectable).
Customization Options
Adjustable timeframe (tf) for RSI source.
Fully configurable thresholds, lengths, and EMA smoothing.
Toggle between repainting vs. non-repainting behavior.
Backtest period controls (start and end date).
Visualization
Plots the ECG difference line in red.
Displays horizontal threshold lines for signal reference.
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."
AMF PG Strategy_v2The AMF PG Strategy (Praetorian Guard) is an advanced trading system designed to seamlessly adapt to market conditions. Its unique structure balances precise entries with intelligent protection, giving traders confidence in both trending and volatility environments.
Key points include:
Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts for clearer long- and short-term opportunities and generates a robust tracking line.
Praetorian Guard – A built-in protective shield that activates in extreme conditions and helps stabilize performance when markets become turbulent.
Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments.
Clarity – Clear visual signals and color-coded monitoring for instant decision-making.
This strategy is designed for traders who want more than just entries and exits; it offers a command center for disciplined, adaptable, and resilient trading.
Disclaimer:
It should be noted that no strategy is guaranteed. This strategy does not provide buy-sell-hold advice. Responsibility rests with the user.
Version 2: Bugs overlooked in Version 1 have been corrected and improvements have been made.
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
Turtle Trading System (Not Financial Advise)I am testing this script, not financial advise, but this is how it works, i hope;
How the Script Works
The script is a TradingView strategy that backtests and automates the Turtle rules. It uses two systems, a short-term S1 (20-day) and a long-term S2 (55-day), which you can select to test.
The strategy follows these core principles:
Trend Identification: The script uses Donchian Channels to identify breakouts. A new trend is signaled when the price breaks above the highest high or below the lowest low of a specified period.
Position Sizing: The script automatically calculates the size of each trade unit to ensure you risk a consistent percentage of your capital on every trade. This is based on the Average True Range (ATR), which measures volatility.
Pyramiding: When a trade moves in a profitable direction, the script will add more units at specific intervals to increase your position and ride the trend. This is how the Turtles made their big profits.
Win/Loss Condition:
A crucial rule is implemented for System 1 (S1): you only enter a trade if the previous S1 trade was a loss. If the last S1 trade was a win, you must wait for a signal from System 2 (S2).
How to Enter and Exit a Long Position
The script will automatically enter a long position when the price breaks above the highest high of the last 20 days (S1) or 55 days (S2), depending on which system you've selected.
Stop-Loss (SL): Your stop-loss is automatically placed at a distance of 2 * N (ATR) below the entry price. . This is a crucial risk management rule that limits your potential loss. The stop-loss is also plotted visually on the chart.
Exit Long: The script will close the long position automatically under two conditions:
Reversal: The price drops and closes below the lowest low of the last 10 days (S1) or 20 days (S2).
Stop-Loss Hit: The price hits your initial stop-loss, limiting your loss.
How to Enter and Exit a Short Position
Enter Short: The script will automatically enter a short position when the price breaks below the lowest low of the last 20 days (S1) or 55 days (S2).
Stop-Loss (SL): Your stop-loss is automatically placed at a distance of 2 * N (ATR) above the entry price. . This prevents large losses if the price moves against you.
Exit Short: The script will close the short position automatically under two conditions:
Reversal: The price rallies and closes above the highest high of the last 10 days (S1) or 20 days (S2).
Stop-Loss Hit: The price hits your initial stop-loss, limiting your loss.
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
AMF PG Strategy AMF Command Center Strategy (Praetorian Guard)
The AMF PG Strategy (Praetorian Guard) is an advanced trading system built to adapt seamlessly across market conditions. Its unique structure balances precision entries with intelligent protection, giving traders confidence in both trending and volatile environments.
Key highlights include:
Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts and generates a powerful tracking line for clearer long and short opportunities.
Praetorian Guard – A built-in protective shield that activates in extreme conditions, helping stabilize performance when markets become turbulent.
Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments.
Clarity – Clean visual signals and color-coded tracking for instant decision-making.
This strategy was designed for traders who want more than just entries and exits — it offers a command center for disciplined, adaptive, and resilient trading.
MuLegend's Break & Retest StrategyThis strategy was produced to help traders who trade NQ: win! try it out on a demo, see how you like and happy trading!! Works well if you are a break & retest trader!!!
MuMu
@atltime2shine on IG
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.