Quantum Edge Scalper - Adaptive Precision Trading [KedArc Quant]Strategy Overview
Quantum Edge Scalper is a multi-regime intraday strategy engineered for adaptability across equities. It fuses EMA trend & slope, RSI sanity checks, ATR-based volatility gating, and candle-shape filters. Regime detection (ATR%% z-score) tunes thresholds on-the-fly, while an optional OSS — Oversold Short Override captures late-session breakdowns. Robust day-level controls include trade caps, cooldowns, and loss-streak stops. A compact panel summarizes live session stats.
Key Features
• Preset modes: Aggressive / Aggressive+ / Conservative / Hybrid / Custom.
• EMA Fast/Slow trend filter + EMA-separation slope gate.
• ATR volatility floor (percent-of-price) to avoid dead markets.
• Candle-shape and wick-ratio filters to curb false breakouts.
• Regime adaptation using ATR% z-score (HIGH / LOW / NEUTRAL).
• Hybrid+ LOW-regime extras: tighter SL, adaptive TP, mid-session pause, loss-streak blocker.
• OSS (Oversold Short Override): validators for micro-pullback, range expansion, structure break, and time window.
• Daily caps & loss-streak protection; cooldown management post wins/losses.
• Clean summary labels + compare panel; optional debug labels.
Indicadores e estratégias
J12Matic Builder by galgoomA flexible Renko/tick strategy that lets you choose between two entry engines (Multi-Source 3-way or QBand+Moneyball), with a unified trailing/TP exit engine, NY-time trading windows with auto-flatten, daily profit/loss and trade-count limits (HALT mode), and clean webhook routing using {{strategy.order.alert_message}}.
Highlights
Two entry engines
Multi-Source (3): up to three long/short sources with Single / Dual / Triple logic and optional lookback.
QBand + Moneyball: Gate → Trigger workflow with timing windows, OR/AND trigger modes, per-window caps, optional same-bar fire.
Unified exit engine: Trailing by Bricks or Ticks, plus optional static TP/SL.
Session control (NY time): Evening / Overnight / NY Session windows; auto-flatten at end of any enabled window.
Day controls: Profit/Loss (USD) and Trade-count limits. When hit, strategy HALTS new entries, shows an on-chart label/background.
Alert routing designed for webhooks: Every order sets alert_message= so you can run alerts with:
Condition: this strategy
Notify on: Order fills only
Message: {{strategy.order.alert_message}}
Default JSONs or Custom payloads: If a Custom field is blank, a sensible default JSON is sent. Fill a field to override.
How to set up alerts (the 15-second version)
Create a TradingView alert with this strategy as Condition.
Notify on: Order fills only.
Message: {{strategy.order.alert_message}} (exactly).
If you want your own payloads, paste them into Inputs → 08) Custom Alert Payloads.
Leave blank → the strategy sends a default JSON.
Fill in → your text is sent as-is.
Note: Anything you type into the alert dialog’s Message box is ignored except the {{strategy.order.alert_message}} token, which forwards the payload supplied by the strategy at order time.
Publishing notes / best practices
Renko users: Make sure “Renko Brick Size” in Inputs matches your chart’s brick size exactly.
Ticks vs Bricks: Exit distances switch instantly when you toggle Exit Units.
Same-bar flips: If enabled, a new opposite signal will first close the open trade (with its exit payload), then enter the new side.
HALT mode: When day profit/loss limit or trade-count limit triggers, new entries are blocked for the rest of the session day. You’ll see a label and a soft background tint.
Session end flatten: Auto-closes positions at window ends; these exits use the “End of Session Window Exit” payload.
Bar magnifier: Strategy is configured for on-close execution; you can enable Bar Magnifier in Properties if needed.
Default JSONs (used when a Custom field is empty)
Open: {"event":"open","side":"long|short","symbol":""}
Close: {"event":"close","side":"long|short|flat","reason":"tp|sl|flip|session|limit_profit|limit_loss","symbol":""}
You can paste any text/JSON into the Custom fields; it will be forwarded as-is when that event occurs.
Input sections — user guide
01) Entries & Signals
Entry Logic: Choose Multi-Source (3) or QBand + Moneyball (pick one).
Enable Long/Short Signals: Master on/off switches for entering long/short.
Flip on opposite signal: If enabled, a new opposite signal will close the current position first, then open the other side.
Signal Logic (Multi-Source):
Single: any 1 of the 3 sources > 0
Dual: Source1 AND Source2 > 0
Triple (default): 1 AND 2 AND 3 > 0
Long/Short Signal Sources 1–3: Provide up to three series (often indicators). A positive value (> 0) is treated as a “pulse”.
Use Lookback: Keeps a source “true” for N bars after it pulses (helps catch late triggers).
Long/Short Lookback (bars): How many bars to remember that pulse.
01b) QBands + Moneyball (Gate -> Trigger)
Allow same-bar Gate->Trigger: If ON, a trigger can fire on the same bar as the gate pulse.
Trigger must fire within N bars after Gate: Size of the gate window (in bars).
Max signals per window (0 = unlimited): Cap the number of entries allowed while a gate window is open.
Buy/Sell Source 1 – Gate: Gate pulse sources that open the buy/sell window (often a regime/zone, e.g., QBands bull/bear).
Trigger Pulse Mode (Buy/Sell): How to detect a trigger pulse from the trigger sources (Change / Appear / Rise>0 / Fall<0).
Trigger A/B sources + Extend Bars: Primary/secondary triggers plus optional extension to persist their pulse for N bars.
Trigger Mode: Pick S2 only, S3 only, S2 OR S3, or S2 AND S3. AND mode remembers both pulses inside the window before firing.
02) Exit Units (Trailing/TP)
Exit Units: Choose Bricks (Renko) or Ticks. All distances below switch accordingly.
03) Tick-based Trailing / Stops (active when Exit Units = Ticks)
Initial SL (ticks): Starting stop distance from entry.
Start Trailing After (ticks): Start trailing once price moves this far in your favor.
Trailing Distance (ticks): Offset of the trailing stop from peak/trough once trailing begins.
Take Profit (ticks): Optional static TP distance.
Stop Loss (ticks): Optional static SL distance (overrides trailing if enabled).
04) Brick-based Trailing / Stops (active when Exit Units = Bricks)
Renko Brick Size: Must match your chart’s brick size.
Initial SL / Start Trailing After / Trailing Distance (bricks): Same definitions as tick mode, measured in bricks.
Take Profit / Stop Loss (bricks): Optional static distances.
05) TP / SL Switch
Enable Static Take Profit: If ON, closes the trade at the fixed TP distance.
Enable Static Stop Loss (Overrides Trailing): If ON, trailing is disabled and a fixed SL is used.
06) Trading Windows (NY time)
Use Trading Windows: Master toggle for all windows.
Evening / Overnight / NY Session: Define each session in NY time.
Flatten at End of : Auto-close any open position when a window ends (sends the Session Exit payload).
07) Day Controls & Limits
Enable Profit Limits / Profit Limit (Dollars): When daily net PnL ≥ limit → auto-flatten and HALT.
Enable Loss Limits / Loss Limit (Dollars): When daily net PnL ≤ −limit → auto-flatten and HALT.
Enable Trade Count Limits / Number of Trades Allowed: After N entries, HALT new entries (does not auto-flatten).
On-chart HUD: A label and soft background tint appear when HALTED; a compact status table shows Day PnL, trade count, and mode.
08) Custom Alert Payloads (used as strategy.order.alert_message)
Long/Short Entry: Payload sent on entries (if blank, a default open JSON is sent).
Regular Long/Short Exit: Payload sent on closes from SL/TP/flip (if blank, a default close JSON is sent).
End of Session Window Exit: Payload sent when any enabled window ends and positions are flattened.
Profit/Loss/Trade Limit Close: Payload sent when daily profit/loss limit causes auto-flatten.
Tip: Any tokens you include here are forwarded “as is”. If your downstream expects variables, do the substitution on the receiver side.
Known limitations
No bracket orders from Pine: This strategy doesn’t create OCO/attached brackets on the broker; it simulates exits with strategy logic and forwards your payloads for external automation.
alert_message is per order only: Alerts fire on order events. General status pings aren’t sent unless you wire a separate indicator/alert.
Renko specifics: Backtests on synthetic Renko can differ from live execution. Always forward-test on your instrument and settings.
Quick checklist before you publish
✅ Brick size in Inputs matches your Renko chart
✅ Exit Units set to Bricks or Ticks as you intend
✅ Day limits/Windows toggled as you want
✅ Custom payloads filled (or leave blank to use defaults)
✅ Your alert uses Order fills only + {{strategy.order.alert_message}}
Auto Fibonacci Extension Pro Strategy – Smart Risk/Reward✨ Auto Fibonacci Extension Pro Strategy is a next-generation trading system that combines automatic Fibonacci extensions with professional risk management and backtesting features.
This strategy is designed for traders who want to trade with precision using Fibonacci levels without manually drawing them every time.
🔑 Key Features:
✅ Automatic Fibonacci Extension Mapping (0.618, 1.0, 1.272, 1.618, 2.618).
✅ Pro Entry & Exit Signals at golden zones.
✅ Dynamic Position Sizing based on risk percentage.
✅ Stop Loss & Take Profit levels with custom Risk/Reward ratio.
✅ Long & Short Trade Signals with chart markers.
✅ Backtesting Ready – optimize settings for any market (Forex, Crypto, Stocks, Indices).
✅ Clean Visuals with auto-plotted fib levels.
📊 How It Works:
Detects swing highs & lows automatically.
Draws Fibonacci extensions forward.
Generates buy/sell signals when price confirms at fib levels.
Places SL at last swing and TP at fib extension target.
Applies risk-based position sizing to protect your account.
⚡ Best Use Cases:
Works on all timeframes (scalping to swing trading).
Effective for Forex, Crypto, Stocks & Indices.
Use alongside trend filters (MA, RSI, Volume) for extra confirmation.
📢 Pro Tip: Backtest on multiple markets & timeframes, then fine-tune your Swing Length and Risk/Reward Ratio for maximum performance.
🔥 Shared Success, Trusted Growth – This strategy is built for traders who want to combine discipline, automation, and professional risk management into one powerful trading tool.
EMA inFusion Pro - Multiple SourcesEMA Fusion Pro: Dynamic Trend & Momentum Strategy with Three Exit Modes
EMA Fusion Pro is a highly customizable, multi-exit trend-following strategy designed for traders who value both precision and flexibility. By leveraging exponential moving averages (EMA), average directional index (ADX), and volume analysis, this strategy aims to capture trending market moves while offering three distinct exit modes for optimal risk management across varying market conditions.
Strategy Overview
This strategy systematically identifies potential entry points using a moving average crossover with highly configurable data sources (including price, volume, rate of change, or their Heikin Ashi versions) and filters signal quality with ADX trend strength and volume spikes. Each trade is managed with one of three advanced exit methodologies—reverse signal, ATR-based stop/take profit, or fixed percentage—giving you the control to adapt your risk profile to different market regimes.
Key Features
Customizable EMA Source: Calculate the core trend-filtering EMA from price (default), volume, rate of change, or their Heikin Ashi counterparts for unique market perspectives.
Trend Filter with ADX: Confirm entries only when the trend is strong, as measured by the user-adjustable ADX threshold.
Volume Spike Confirmation: Optional filter to only take trades with above-average volume activity, reducing false signals.
Three Exit Modes:
Reverse Signal: Exit trades when a new, opposite entry signal occurs.
ATR-Based Stop/Take Profit: Dynamic risk management using multiples of the average true range (ATR) for both take profit and stop loss.
Percent-Based Stop/Take Profit: Fixed-percentage risk management with user-defined thresholds.
Visual Annotations: Signal markers, EMA line color-coded by source, trend background coloring, and optional ATR/percent-based TP/SL levels.
Info Panel: Real-time display of all core indicators, current trading mode, exit parameters, and position status for quick oversight.
How It Works
Entry Logic: A crossover signal (above/below the EMA) triggers a new entry, but only if both ADX trend strength and (optionally) volume spike conditions are met.
Exit Logic: Three selectable modes allow you to exit trades on reverse signals, at a dynamic ATR-based profit or loss, or at a fixed percentage gain/loss.
Flexible Data Analysis: The EMA source can be chosen from six options—standard price, volume, rate of change, or their Heikin Ashi variants—allowing experimentation with different market dimensions.
Risk Management: All exits are precisely controlled, either by the next opposing signal, by volatility-adjusted levels, or by fixed risk/reward ratios.
Backtest & Optimization: The strategy is fully backtestable within TradingView’s Strategy Tester, with adjustable parameters for optimization.
Customization & Usage
Indicator Source: Select your preferred data type for EMA calculation, opening the door to creative strategy variations (e.g., volume momentum, pure price trend, rate of change divergence).
Filter Toggles: Enable/disable ADX and volume filters as desired—useful for different market environments.
Exit Mode Selection: Switch between reverse, ATR, or percent-based exits with a single parameter—ideal for adapting to ranging vs. trending markets.
Visual Clarity: The EMA line color reflects its underlying source, and the info panel summarizes all critical values for easy monitoring.
Who Should Use This Strategy?
Trend Followers seeking to ride strong moves with multiple exit options.
Experienced Traders who want to experiment with different data types (volume, momentum, Heikin Ashi) for trend analysis.
Algorithmic Traders looking for a robust, flexible base to build upon with their own ideas.
Getting Started
Apply the script to your chart and review default settings.
Customize parameters—EMA length, ADX threshold, volume settings, exit type—as desired.
Backtest on multiple instruments and timeframes to evaluate performance.
Optimize filters, exit rules, and risk parameters for your preferred trading style.
Monitor with the real-time info panel and trade alerts.
Disclaimer
This script is for educational and entertainment purposes only. It is not financial advice. Past performance is not indicative of future results. Always conduct thorough testing and consider your risk tolerance before trading real capital.
— Happy Trading —
Feel free to adapt, share, and contribute to this open-source strategy!
BTC_Hull Suite StrategyOverview
BTC_Hull Suite Strategy is a trend-following system designed to keep drawdowns modest while staying exposed during genuine uptrends. It uses the Hull Moving Average (HMA) for fast, low-lag trend turns, a long-term SMA filter to avoid chop, and a percentage trailing stop to protect gains.
🔧 What the strategy includes
- Hull Moving Average (HMA) with configurable length (default 55)
- SMA filter (default 130) to trade only with higher-timeframe bias
- Trailing stop in percent (default 5%) based on the running peak of close
- Execution model: signals are evaluated on the previous bar and entries are placed at the next bar’s open (TradingView default)
📈 How it works:
✅ Entry (Long):
Detects a bullish Hull turn by comparing the current HMA to its value 3 bars ago:
h > h3 and h <= h3 → HMA just turned up on the prior bar
The SMA filter must confirm: close > sma
If both are true (and within the date window), a long is opened next bar at the open
❌ Exit:
Hull turn down: h < h3 and h >= h3 , or
Trailing stop: price closes below peak * (1 – trailingPct)
Either condition closes the position at the current bar’s close
Notes:
pyramiding = 1 → allows one add-on (maximum two concurrent long positions)
Position sizing defaults to 20% of equity per entry (adjustable in Properties)
Who is this for?
This strategy is tailored for Bitcoin traders (spot or perpetuals) who want a rules-based, low-lag trend system with built-in drawdown protection.
It works best on Daily or 4H charts, but parameters can be adapted for other timeframes.
⚠️ Disclaimer
This strategy is provided for educational and research purposes only.
It is not financial advice. Markets are risky — always test on your own data, include realistic fees/slippage, and forward-test before using real capital.
Smart MTF Fair Value Gap StrategyThe Multi-Timeframe Fair Value Gap (FVG) Strategy is designed to identify institutional imbalance zones (Fair Value Gaps) from a higher timeframe and trade them efficiently on the current chart timeframe.
🔹 Core Logic
Detects Bullish FVGs when there’s a gap between a prior higher-timeframe high and the following low.
Detects Bearish FVGs when there’s a gap between a prior higher-timeframe low and the following high.
Zones are plotted as colored boxes (green for bullish, red for bearish).
When price re-enters a zone, the strategy automatically places trades with defined stop-loss and take-profit levels.
🔹 Risk Management
Stop-loss is set at the opposite side of the zone.
Take-profit is calculated using a customizable Risk:Reward ratio (default 2:1).
Adjustable position sizing and execution rules (enter on touch or require strict close inside zone).
🔹 Inputs & Features
Higher Timeframe selection (e.g., H1, H4, Daily).
Customizable box width for better visualization.
Toggle to show/hide zones.
Strict entry filter to avoid premature signals.
Works in both long and short directions.
⚡ This strategy provides a simple yet powerful way to visualize institutional FVG levels and test structured entries around them with proper risk management.
OPTIMAL super trend tripple confirm for leverage. Ai implemented for higher r:r still a work in progresss
АЗЪ 3.610 - Squeeze Momentum + ADX + FastTF + Alerts + PnLStrata genius squeeze momentum + tester + adx +fast tf
Impulse Momentum Scalper⚡ Impulse Momentum Scalper: Catch the Wave of Big Moves
Tired of guessing when a trend is about to explode? Stop chasing and start catching the first wave with Impulse Momentum Scalper.
This isn't just another indicator repaint. This is a sophisticated strategy engine designed to identify the critical moment when surge in volume and expanding volatility converge within a strong trend, signaling the start of a powerful momentum move.
We don't predict. We react to the market's own footprint.
How It Works: The Triple-Filter System
THE TREND (The Highway): A simple EMA filter ensures you only trade in the direction of the dominant trend. Why swim against the current?
THE VOLUME (The Fuel): The strategy waits for an explosive volume surge—signaling strong institutional or crowd interest—before even considering an entry. No volume, no trade.
THE IMPULSE (The Trigger): It then scans for a significant expansion in volatility, indicating the market is breaking out of its slumber and initiating a new impulsive wave.
When all three elements align, the strategy provides a clear, non-repainting signal to enter.
Key Features & Advantages:
🛡️ Built-In Smart Risk Management: Every trade includes a dynamic Stop-Loss and Take-Profit based on Average True Range (ATR), adapting your risk to the market's current volatility.
🎯 High-Probability Signals: By combining three proven concepts (Trend, Volume, Volatility), it filters out market noise and aims for only the highest-quality setups.
⏰ Perfect for Scalpers & Swing Traders: While designed for quick, impulsive moves, the logic is effective on multiple timeframes (try 5m for scalping or 1H for swings).
🔔 One-Click Alerts: Includes pre-configured alert conditions so you never miss a signal, even if you're away from your charts.
Disclaimer: This script is a strategy, not financial advice. Past performance is not indicative of future results. Always backtest and forward-test any strategy in a risk-controlled environment before committing real capital.
Ready to trade the impulse? Add the strategy to your chart and see the signals in real-time!
LTPI StratThis is a trend probability indicator that uses 13 indicators as inputs to spot majors trends in BTC
Gamma Blast StrategyGamma Blast Strategy used for quick 2-5 ticks on Buys, but on a sideways market can get up to 15-20 ticks.
Advanced FVG Strategy Pro+ (v6)📌 Advanced FVG Strategy Pro+ (v6)
This is a professional-grade Fair Value Gap (FVG) strategy designed for modern trading environments. It combines multi-timeframe FVG detection, a digital low-pass trend filter, and dynamic risk management to create a highly adaptable trading system.
🔹 Core Features:
Smart FVG Detection → Identifies bullish & bearish imbalances with customizable sensitivity.
Trend Confirmation → Built-in IIR filter eliminates noise and aligns trades with dominant market flow.
Risk Management Pro Tools → Trade sizing by % of equity or fixed dollar risk, auto-adjusted to stop loss distance.
Adaptive R:R → Fully configurable risk/reward ratio for flexible trade planning.
On-Chart Dashboard → Real-time stats including Winrate, Profit Factor, Trade Count & configured risk.
Safety Guards → Position sizing capped to prevent oversized trades on small stop-loss setups.
🔹 Trading Logic:
Long Setup → Bullish FVG + (optional) trend confirmation.
Short Setup → Bearish FVG + (optional) trend confirmation.
Each trade automatically manages SL at the gap edge and TP based on RR multiplier.
🔹 Why It’s Different:
Unlike basic FVG scripts, this strategy integrates professional money management, signal filtering, and real-time performance analytics. It adapts across forex, crypto, and indices, making it a universal tool for both backtesting and live trading.
⚠️ Disclaimer: This strategy is for educational and research purposes only. Past performance does not guarantee future results. Always backtest thoroughly and manage your risk responsibly.
Maiko Range Scalper (Sideways BB + RSI) – v4 cleanPurpose
It’s a range scalping strategy for crypto. It tries to take small, repeatable trades inside a sideways market: buy near the bottom of the range, sell near the middle/top (and the reverse for shorts).
Core idea (two timeframes)
Define the trading range on a higher timeframe (HTF)
You choose the HTF (e.g., 15m or 1h).
The script finds the highest high and lowest low over a lookback window (e.g., last 96 HTF candles) → these become HTF Resistance and HTF Support.
It also calculates the midline (average of support/resistance).
Trade signals on your lower timeframe (LTF)
You run the strategy on a fast chart (e.g., 1m or 5m).
Entries are only allowed inside the HTF range.
Entry logic (mean reversion)
Indicators on the LTF:
Bollinger Bands (length & std dev configurable).
RSI (length & thresholds configurable).
Optional VWAP proximity filter (price must be within X% of VWAP).
Long setup:
Price touches/under-cuts the lower Bollinger band AND RSI ≤ threshold (default 30) AND price is inside the HTF range (and passes VWAP filter if enabled).
Short setup:
Price touches/exceeds the upper Bollinger band AND RSI ≥ threshold (default 70) AND price is inside the HTF range (and passes VWAP filter if enabled).
Exits and risk
Stop-loss: placed just outside the HTF range with a configurable buffer %:
Long SL = HTF Support × (1 − buffer).
Short SL = HTF Resistance × (1 + buffer).
Take-profit (selectable):
Mid band (the Bollinger basis) → conservative, faster exits.
Opposite band / HTF boundary → more aggressive, higher RR but more give-backs.
Position sizing
A simple cap: maximum position size = percent of account equity (e.g., 20%).
The script calculates quantity from that cap and current price.
Plots you’ll see on the chart
HTF Resistance (red) and HTF Support (green) via plot().
HTF Midline (gray dashed) drawn with a line.new() object (because plot() cannot do dashed).
Bollinger basis/upper/lower on the LTF.
Optional VWAP line (only shown if you enable the filter).
Signal markers (green triangle up for Long setups, red triangle down for Short setups).
Alerts
Two alertconditions:
“Long Setup” – when a long entry condition appears.
“Short Setup” – when a short entry condition appears.
Create alerts from these to get notified in real time.
How to use it (quick start)
Add to a 1m or 5m chart of a liquid coin (BTC, ETH, SOL).
Set HTF timeframe (start with 1h) and lookback (e.g., 96 = ~4 days on 1h).
Keep default Bollinger/RSI first; tune later.
Choose TP mode:
“Mid band” for quick scalps.
“Opposite band/Range” if the range is very clean and you want bigger targets.
Set SL buffer (0.15–0.30% is common; adjust for volatility).
Set Max position % to control size (e.g., 20%).
(Optional) Enable VWAP filter to skip stretched moves.
When it works best
Clearly sideways markets with visible support/resistance on the HTF.
High-liquidity pairs where spreads/fees are small relative to your scalp target.
Limitations & safety notes
True breakouts will invalidate mean-reversion logic—your SL outside the range is there to cut losses fast.
Fees can eat into small scalps—prefer limit orders, rebates, and liquid pairs.
Backtest results vary by exchange data; always forward-test on small size.
If you want, I can:
Add an ATR-based stop/target option.
Provide a study-only version (signals/alerts, no trading engine).
Pre-set risk to your €5,000 plan (e.g., ~0.5% max loss/trade) with calculated qty.
Universal Webhook Connector Demo.This strategy demonstrates how to generate JSON alerts from TradingView for multiple trading platforms.
Users can select platform_name (MT5, TradeLocker, DxTrade, cTrader, etc).
Alerts are constructed in JSON format for webhook execution.
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).
Bull-Bear Power ZScore - by Trading Pine Lab🇬🇧
The Bull-Bear Power ZScore Strategy is an advanced trading framework that integrates Bull-Bear Power (BBP) with a statistical Z-Score model.
BBP measures the relative strength of buyers vs. sellers against an EMA baseline, while the Z-Score standardizes this relationship to detect statistically significant breakouts.
This dual-layer approach provides early trend detection while reducing noise from raw momentum signals.
Entries are triggered when the Z-Score crosses above or below its threshold (long above +T, short below –T). Exits occur when the Z-Score crosses back to zero, ensuring trades close when momentum fades.
A dynamic multi-level take-profit system is integrated, using ATR-based targets (TP1, TP2, TP3) that automatically adapt to **volume context** (high/medium/low) and **percentile analysis** (distribution of price and volume).
This ensures profit targets stretch in strong environments and tighten in weaker conditions, optimizing both risk and reward.
All parameters are fully configurable:
-Bull-Bear Power Settings: EMA length, Z-Score length, Z-Score threshold.
-Take Profit Settings: enable/disable TP system, ATR period, TP1–TP3 multipliers, TP1–TP3 position sizes.
-Volume Analysis: volume MA period, high/medium/low multipliers, adjustment factors.
-Percentile Analysis: percentile lookback period, high/medium/low thresholds, adjustment factors.
A1TradeHub Toolkits [1.0]A1TradeHub Toolkits — Quick Guide
⏱️ Timeframe: 5M (SPY/QQQ/IWM)
📐 Core EMAs: 13 / 48 / 200
🟢 LONG signals
✅ Confirm 2+ supports: Orange Zone, EMA200, PDH/PDL, PWH/PWL
✅ Get 3+ patterns: Bull Flag, Trendline Support, Double Bottoms, Support Pivots, White candles uptrend
▶️ Entry: Break & retest (PMH/PDH or trendline) with Oscillator → bullish
🎯 Targets: Next resistance zones; trail 13 EMA
💾 Scale out: +40–60%, let runners push to key level
🔴 SHORT signals
✅ Confirm 2+ resistances: Orange Zone, EMA200, PDH/PDL, PWH/PWL
✅ Get 3+ patterns: Bear Flag, Trendline Resistance, Double Tops, Resistance Pivots, White candles downtrend
▶️ Entry: Break & retest (PML/PDL or trendline) with Oscillator → bearish
🎯 Targets: Next support zones; trail 13 EMA
💾 Scale out: +40–60%, ride to next demand
🟧 Support Area (buy bias)
Use PWL / PDL / EMA48 or 200 / Orange Zone
Bounce = calls; break→retest = puts
🟥 Resistance Area (sell bias)
Use PWH / PDH / EMA48 or 200 / Supply zones
Reject = puts; break→retest = calls
📊 And more indicator comming...soon
AI Volume-KNN SuperTrend - by Trading Pine Lab🇬🇧 English
The AI Volume-KNN SuperTrend is an advanced trading strategy that combines the robustness of the SuperTrend indicator with a machine-learning inspired KNN (K-Nearest Neighbors) model. The baseline is built from a volume-weighted moving average with ATR-based bands, while the KNN classifier validates trend direction in real time. This dual-layer approach reduces false signals and improves trend confirmation.
Entries are triggered when the SuperTrend flips direction and the KNN classifier confirms the move as bullish or bearish. Exits are managed with a dynamic trailing stop, automatically adjusting to SuperTrend ± ATR × factor. The strategy includes visual markers for AI start/continuation signals, as well as customizable coloring for bullish, bearish, and neutral phases.
All parameters are fully configurable:
-Trading direction filter: Long / Short / Both.
-KNN settings: number of neighbors (K), dataset size (N).
-Label smoothing: price and SuperTrend smoothing lengths (WMAs).
-SuperTrend settings: length, ATR factor, and moving average source.
-Visualization: trend markers and per-trend coloring.
The DTC fix7 Best Combined (New York Time Sessions)The DTC Bot – Weekly Results Recap 🚀
This week the bot came back with serious momentum! Here’s the breakdown of performance across pairs:
✅ AUDCHF: +$6,018.14
✅ NZDCHF: +$4,965.29
✅ AUDUSD: +$2,867.04
✅ NZDJPY: +$1,063.22
❌ NZDCAD: -$5,138.61
📊 Net Result: + $9,775.08
💡 Key Insight: Trading isn’t about one single trade or even one single week — it’s about probabilities over time. After a tough performance last week, this bounce shows how quickly the tide can turn in our favor.
The DTC Bot is designed to adapt across pairs, balance outcomes, and keep probabilities working for you.
⚡ Ready to get access?
The DTC Bot is now available as an invite-only strategy on TradingView:
$59/month subscription
$499/year (save big with the yearly plan!)
VATSM策略 （合约专用）VATSM Strategy - Small Capital Optimized Version
Overview
The VATSM Strategy (Small Capital Optimized Version) is a sophisticated momentum-based trading system specifically designed for small account traders starting with just 5 USDT. This strategy incorporates dynamic lookback periods, volatility-adjusted position sizing, and strict risk management protocols to optimize performance for limited capital.
