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
趋势分析
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.
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
Liquidity Sweep Breakout - LSBLiquidity Sweep Breakout - LSB
A professional session-based breakout system designed for OANDA:USDJPY and other JPY pairs.
Not guesswork, but precision - built on detailed observation of institutional moves to capture clear trade direction daily.
Master the Market’s Daily Bank Flow.
---
Strategy Detail:
I discovered this strategy after carefully studying how Japanese banks influence the forex market during their daily settlement period. Banks are some of the biggest players in the financial world, and when they adjust or settle their accounts in the morning, it often creates a push in the market. From years of observation, I noticed a consistent pattern, once banks finish their settlements, the market usually continues moving in the same direction that was formed right after those actions. This daily banking flow often sets the tone for the entire trading session, especially for JPY pairs like USDJPY.
To capture this move, I built the indicator so that it follows the bank-driven trend with clear rules for entries, stop-loss (SL), and take-profit (TP). The system is designed with professional risk management in mind. By default, it assumes a $10,000 account size, risks only 1% of that balance per trade, and targets a 1:1.5 reward-to-risk ratio. This means for every $100 risked, the potential profit is $150. Such controlled risk makes the system safer and more sustainable for long-term traders. At the same time, users are not limited to this setup, they can adjust the account balance in the settings, and the indicator will automatically recalculate the lot size and risk levels based on their own capital. This ensures the strategy works for small accounts and larger accounts alike.
🌍 Why It Works
Fundamentally driven: Based on **daily Japanese banking settlement flows**.
Session-specific precision: Targets the exact window when USDJPY liquidity reshapes.
Risk-managed: Always calculates lot size based on account and risk preferences.
Automatable: With webhook + MT5 EA, it can be fully hands-free.
---
✅ Recommended
Pair: USDJPY (best observed behavior).
Timeframe: 3-Minute chart.
Platform: TradingView Premium (for webhooks).
Execution: MT5 via EA.
---
🔎 Strategy Concept
The Tokyo Magic Breakout (TMB) is built on years of session observation and the unique daily rhythm of the Japanese banking system.
Every morning between 5:50 AM – 6:10 AM PKT (09:50 – 10:10 JST), Japanese banks perform daily reconciliation and settlement. This often sets the tone for the USDJPY direction of the day.
This strategy isolates that critical moment of liquidity adjustment and waits for a clean breakout confirmation. Instead of chasing noise, it executes only when price action is aligned with the Tokyo market’s hidden flows.
---
🕒 Timing Logic
Session Start: 5:00 AM PKT (Tokyo market open range).
Magic Candle: The 5:54 AM PKT candle is marked as the reference “breakout selector.”
Checkpoints: First confirmation at 6:30 AM PKT, then every 15 minutes until 8:30 AM PKT.
* If price stays inside the magic range → wait.
* If a breakout happens but the candle wick touches the range → wait for the next checkpoint.
* If by 8:30 AM PKT no clean breakout occurs → the day is marked as No Trade Day (NTD).
👉 Recommended timeframe: 3-Minute chart (3M) for precise signals.
---
📈 Trade Execution
Entry: Clean break above/below the magic candle’s range.
Stop-Loss: Opposite side of the Tokyo session high/low.
Take-Profit: Calculated by Reward\:Risk ratio (default 1.5:1).
Lot Size: Auto-calculated based on your risk model:
* Fixed Dollar
* % of Equity
* Conservative (minimum of both).
Visuals include:
✅ Entry/SL/TP lines
✅ Shaded risk (red) and reward (green) zones
✅ Trade labels (Buy/Sell with lot size & levels)
✅ TP/SL hit markers
---
🔔 Alerts & Automation (AutoTMB)
This strategy is fully automation-ready with EA + MT5:
1. Enable alerts in TMB settings.
2. Insert your PineConnector License Key.
3. Configure your risk management preferences.
4. Create a TradingView alert → in the message box simply type:
Pine Script®
{{alert_message}}
and set the EA webhook.
Now, every breakout trade (with exact entry, SL, TP, and lot size) is sent instantly.
👉 On your MT5:
* Install the EA.
* Use the same license key.
* Run it on a VPS or local MT5 terminal.
You now have a hands-free trading system: AutoTMB.
HMK-2 | PCA-1 + Rejim + Chebyshev + VWAP (Input'lu, v6)📌 HMK-2 | PCA-1 + Regime + Chebyshev + VWAP Strategy
1️⃣ Core Structure
Instead of relying on a single indicator, this system uses the Z-Score normalized average of three oscillators (RSI, MFI, ROC).
Signal (PCA-1):
RSI(14), MFI(14), ROC(5) → each is converted into a z-score.
Their average becomes the “composite signal,” our PCA-1 value.
Trend direction: If the Z-score EMA is rising → trend UP. If falling → trend DOWN.
2️⃣ Side Filters
Regime Filter (ADX + EMA)
ADX is calculated manually.
If ADX > 20 → trend exists → a 50-period EMA of this value smooths it.
This turns “trend regime” into a probability between 0–1.
Chebyshev Filter
A return series is checked against mean ± k*sigma bands.
If the return is within this band → valid signal. Extreme moves are filtered out.
VWAP Filter
Long trades: price must be above VWAP.
Short trades: price must be below VWAP.
Trades are only taken on the correct side of institutional cost averages.
3️⃣ Entry Conditions
Long:
PCA-1 signal crosses above threshold.
Trend Up + Regime OK + Chebyshev OK + Above VWAP.
Short:
PCA-1 signal crosses below threshold.
Trend Down + Regime OK + Chebyshev OK + Below VWAP.
4️⃣ Exit Mechanism
Main Exit: ATR-based stop/target.
Stop = entry price – ATR × (SL factor).
Take profit = entry price + ATR × (TP factor).
Additional Exit:
If price crosses to the opposite side of VWAP.
If PCA-1 signal crosses zero.
👉 Prevents trades from being locked, makes exits adaptive.
5️⃣ Labels / Visualization
AL / SHORT → entry points.
SAT / COVER → exit points.
VWAP line plotted in blue.
🧩 Strategy Features
Optimizable parameters:
Z-window (zWin)
Threshold
Chebyshev factor
ATR stop/target multipliers
This system works with:
Disciplined core (PCA-1 signal)
Triple protection (Regime + Chebyshev + VWAP)
Adaptive exits (ATR + VWAP/signal cross)
👉 Not a “single-indicator robot,” but a multi-filtered trade direction engine.
💡 Final Note
This is a base model of the system — open for further development.
I’ve shared the logic to give you a roadmap.
If you spot errors, fix them → that’s how you’ll improve it.
Don’t waste time asking me questions — refine and build it better yourselves.
Wishing you profitable trades. Stay well 🙏
Script_Algo - High Low Range MA Crossover Strategy🎯 Core Concept
This strategy uses modified moving averages crossover, built on maximum and minimum prices, to determine entry and exit points in the market. A key advantage of this strategy is that it avoids most false signals in trendless conditions, which is characteristic of traditional moving average crossover strategies. This makes it possible to improve the risk/reward ratio and, consequently, the strategy's profitability.
📊 How the Strategy Works
Main Mechanism
The strategy builds 4 moving averages:
Two senior MAs (on high and low) with a longer period
Two junior MAs (on high and low) with a shorter period
Buy signal 🟢: when the junior MA of lows crosses above the senior MA of highs
Sell signal 🔴: when the junior MA of highs crosses below the senior MA of lows
As seen on the chart, it was potentially possible to make 9X on the WIFUSDT cryptocurrency pair in just a year and a half. However, be careful—such results may not necessarily be repeated in the future.
Special Feature
Position closing priority ❗: if an opposite signal arrives while a position is open, the strategy first closes the current position and only then opens a new one
⚙️ Indicator Settings
Available Moving Average Types
EMA - Exponential MA
SMA - Simple MA
SSMA - Smoothed MA
WMA - Weighted MA
VWMA - Volume Weighted MA
RMA - Adaptive MA
DEMA - Double EMA
TEMA - Triple EMA
Adjustable Parameters
Senior MA Length - period for long-term moving averages
Junior MA Length - period for short-term moving averages
✅ Advantages of the Strategy
🛡️ False Signal Protection - using two pairs of modified MAs reduces the number of false entries
🔄 Configuration Flexibility - ability to choose MA type and calculation periods
⚡ Automatic Switching - the strategy automatically closes the current position when receiving an opposite signal
📈 Visual Clarity - all MAs are displayed on the chart in different colors
⚠️ Disadvantages and Risks
📉 Signal Lag - like all MA-based strategies, it may provide delayed signals during sharp movements
🔁 Frequent Switching - in sideways markets, it may lead to multiple consecutive position openings/closings
📊 Requires Optimization - optimal parameters need to be selected for different instruments and timeframes
💡 Usage Recommendations
Backtest - test the strategy's performance on historical data
Optimize Parameters - select MA periods suitable for the specific trading instrument
Use Filters - add additional filters to confirm signals
Manage Risks - always use stop-loss and take-profit orders.
You can safely connect to the exchange via webhook and enjoy trading.
Good luck and profits to everyone!!
RangeSuper Pro – Vivid Violet & Electric Style
🚀RangeSuper Pro – Electric Style
RangeSuper VIOLET – Advanced Trend & Range Filter Strategy for TradingView
The RangeSuper VIOLET indicator combines a modern range filter and SuperTrendlogic, visually enhanced with vivid green and violet bands for clear trend identification. This tool is designed for active traders who want to capture both breakout and trend-following opportunities on indices like NIFTY.
Features:
• Detects high-probability LONG and SHORT setups with color-coded bands.
• “BIG TARGET” labels highlight major combined signals; small labels mark scalp entries.
• Adaptive bands change color with market conditions (green for bullish, violet for bearish).
• Built-in scalp strategy with automatic TP/SL (Take Profit/Stop Loss) management.
• Comprehensive performance stats, including profit factor, equity curve, and drawdown, are available via the TradingView strategy tester.
How to Use:
Use on 15-minute or higher timeframes for best results.
Follow the visual signals and labels for potential trade entries and exits.
Review performance and trade analysis in the built-in strategy tester.
For access or questions, request an invite or contact the developer directly. Unlock smarter trend trading with RangeSuper VIOLET!
📌 **Important Notes:**
- 🟢 Signals are real-time & backtest-matching (normal 1–2 pt slippage can occur its normal )
- 🧪 This tool has been **extensively tested**, and results shown are from actual backtests on TradingView
🔒 Access is invite-only for quality control
⚠️ Disclaimer:
Shared for learning and research purposes only. Not financial advice. Past educational results don't guarantee future outcomes. Trading involves risk of loss. We are not SEBI registered.
EMA Crossover StrategyAs the name suggests. It is an EMA crossover with a custom buy, sell signal on the chart with the take profit signal on the chart itself. SL would be the original candle low on the candle where the buy sell signal is generated. kindly give a feedback on the script so i can update it.
Triple Momentum Strategy High Winrate Nifty & Bank OPT & FUT🚀High Accuracy Triple Momentum Strategy - Access High Winrate
This system is designed for job holders who want to invest and trade using a proven, back tested strategy without needing to sit in front of charts all day.
📢 Need auto-trade alerts?
A dedicated **indicator version with real-time BUY/SELL/EXIT alerts** is available to this code same strategy script
📊 Results: No Repainting
Historical Win Rate: 90.0% (314/349 signals)
Study Period: 1 Year on NIFTY Futures
Educational Return: 81.4% annualized
Max Drawdown: ₹49,132.50
📊 Optimized Parameters:
"This strategy achieves 90% win rate on NIFTY Futures using optimized settings:
📈PARAM A: 69
📉PARAM B: 34
⚡PARAM C : 10
🎯 Source: Close
📊PARAM D: 39
🔴 Use Live Bar Signals: Enabled (may repaint)
💰 Long Profit %: 0.09
💸 Short Profit %: 0.05
💡 Features:
Non-repainting signal methodology
🧠 Triple Momentum Engine
🎯 Works best on **15-minute timeframe (Index Nifty Futures)**
Clean BUY/SELL/EXIT educational logic
Risk management principles included
🔎 Clean BUY / SELL / EXIT logic, optimized for high-probability trades
📧 Educational Access:
Send TradingView message for access.
📌 **Important Notes:**
- 🟢 Signals are real-time & backtest-matching (normal 1–2 pt slippage can occur its normal )
- 🧪 This tool has been **extensively tested**, and results shown are from actual backtests on TradingView
🔒 Access is invite-only for quality control
⚠️ Disclaimer:
Shared for learning and research purposes only. Not financial advice. Past educational results don't guarantee future outcomes. Trading involves risk of loss. We are not SEBI registered.
#MomentumStrategy #TradingEducation #InviteOnly #NIFTYFutures #AlgoTrading #EducationalStrategy
MTF RSI + ADX + ATR SL/TP vivekDescription:
This strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
MTF RSI + ADX + ATR SL/TPThis strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
Imbalance No SL📊 Strategy Name: Imbalance No SL
This strategy specially trades on price jumps (true imbalances) in the market, takes advantage of momentum only, and as soon as the opposite signal and profit is received, the trade is closed immediately.
Imbalance No SL strategy specially generates buy and sell signals based on "Imbalance" logic, without any fixed Stop Loss.
🔍 Core Logic
Imbalance Detection
Bullish Imbalance : When the low of the current candle is above the high of the previous candle.
(i.e. a jump type gap occurred in the market – demand is high, price went straight up)
Bearish Imbalance : When the high of the current candle is below the low of the previous candle.
(i.e. the market suddenly fell down)
Creating Visual Box and Label on Signal:
As soon as bullish imbalance is found, green box & IMB BULL label is displayed on the chart.
Bearish has red box & IMB BEAR label.
Trade Entry Logic
BUY on Bullish Imbalance: If there is already a buy or neutral position, then a new “BUY” signal will fire.
SELL on Bearish Imbalance: If already in sell or neutral position, then new “SELL” signal will fire.
You can set quantity/lot size from ‘qty’ input field.
Trade Average Calculation
Buy/Sell maintains average price and their count (so that if averaging is done then correct P&L is calculated).
Trade Exit Logic (Profit Booking/Signal Reverse)
If your buy is going on and bearish imbalance is formed + price is above your average, then buy will be closed (profit condition).
If sell is going on and bullish imbalance is formed + price is below average, then sell will be closed.
Chart Cleaning/Management
Only keep the label and box of the latest signal on the chart, old boxes/labels are automatically deleted.
Alert
You can get alert on bullish or bearish signal (by using alert feature of TradingView).
✅ Simple Explanation for User
This strategy buys or sells directly at the gap (imbalance).
Whenever there is a clear signal of momentum in the market (breakout of the gap), then the trade entry takes place.
When there is an imbalance in the opposite direction and profit is made, the system closes the trade (closes).
There is no fixed stop-loss, risk management is handled by trade averaging/close.
You will know at every point on the visually chart that at which bar the buy, sell and exit took place.
⚠️ What to remember?
If the market is in trend then this script gives very good signals.
In choppy/sideways market, some loss trades can also come because there is no SL.
Big profit or big loss – both depend on the imbalance signal and market speed.
