Simple Symmetrical Triangle Strategy (6 points)Overview
This strategy identifies triangle patterns formed by a series of key high and low price points. A trade is triggered when the price breaks out from the pattern's final confirmation points: a buy signal occurs on a close above the last high point, and a sell signal on a close below the last low point. To ensure relevance, any pattern that doesn't break out within 10 bars is automatically discarded.
This helps filter out patterns that lose momentum and focuses only on the most imminent breakouts.
How It Works
1. Pattern Detection: The script continuously scans for a sequence of three declining highs (points H1, H2, H3) and three rising lows (points L1, L2, L3) to form a triangle.
2. Entry Logic: The logic is straightforward and based on breaking the last confirmed pivot:
* Long Entry: A buy order is executed if the price closes above the level of the last high (H3).
* Short Entry: A sell order is executed if the price closes below the level of the last low (L3).
3. Pattern Expiration: A triangle only remains "active" for 10 bars after its formation. If a breakout doesn't occur within this window, the pattern is removed from analysis, avoiding trades on prolonged, unresolved consolidations.
Key Features
* Automatic Detection: Identifies and draws triangles for you.
* Simple Breakout Logic: Easy to understand, trades by following the price action.
* Time Filter: Its main advantage is discarding patterns that do not resolve quickly.
* Customizable: You can adjust the sensitivity of the pivot detection in the settings.
Important Disclaimer
This strategy is designed as an entry system and DOES NOT INCLUDE A STOP LOSS OR TAKE PROFIT.
Automation Ready
Want to automate this or ANY strategy on your broker or MetaTrader (MT4/MT5) without keeping your computer on or needing a VPS? You can use WebhookTrade.
Indicatori e strategie
Market Switchers Trading Bot 3 MIN ORB The Market Switchers 3-Min ORB trading bot trades breakouts after the first three minutes of the New York session (09:30–09:33 EST) by marking the high and low of that range and entering long when price breaks above the high or short when it breaks below the low. It uses fixed USD-based risk management (e.g., $500 stop loss, $1,500 take profit), converts these values to points/ticks, and allows only one trade per day. Trades are taken only after 9:30 AM, with all positions force-closed before the session ends, and alerts are included for both long and short entries. The strategy targets high-volatility moves at the open when momentum is typically strongest.
Symmetrical Triangle Strategy (Real and Trap confirmation)Overview
This is an advanced strategy that not only detects symmetrical triangle patterns but also attempts to differentiate between a genuine breakout and a false breakout (a trap) to trade accordingly.
Instead of blindly following every breakout, it analyzes the "quality" of the move using Volume and RSI filters. If the breakout appears weak, it prepares to trade in the opposite direction, capitalizing on the pattern's failure.
How It Works
The strategy employs a dual logic that activates after the price breaks the last pivot (H3 or L3):
1. Scenario A: The Real Breakout
* If the price breaks the triangle AND the breakout is confirmed by a surge in volume and/or a favorable RSI, the strategy considers the move genuine and enters in the direction of the breakout.
2. Scenario B: The False Breakout (Trap)
* If the price breaks the triangle BUT the indicators fail to confirm it (e.g., low volume), the strategy interprets it as a potential trap.
* It waits for the price to return inside the pattern.
* Once the price has re-entered, it opens a trade AGAINST the initial breakout, betting that the first move was a fake-out.
Key Features
* Hybrid Logic: It's not just a simple breakout strategy; it adapts to market conditions.
* Confirmation Filters: Uses Volume and RSI to validate the strength of a breakout (fully configurable).
* Capitalizes on Traps: Its greatest strength is the ability to identify and trade false breakouts, a common market scenario.
* Optional Confirmation: For trap trades, an extra confirmation via an EMA crossover can be enabled for added safety.
* Opportunity Timeout: Potential traps have a time limit to be confirmed, preventing the strategy from getting stuck in an undecided scenario.
Important Disclaimer
This strategy is designed as an entry system and DOES NOT INCLUDE A STOP LOSS OR TAKE PROFIT.
Automation Ready
Want to automate this or ANY strategy on your broker or MetaTrader (MT4/MT5) without keeping your computer on or needing a VPS? You can use WebhookTrade.
HAPI MA Crossover StrategyDescription:
This strategy implements a Moving Average (MA) crossover system to identify potential trend reversals and capture directional momentum. Two moving averages are calculated — a fast MA (shorter period) and a slow MA (longer period).
Long Entry: Triggered when the fast MA crosses above the slow MA, signaling a potential bullish trend shift.
Short Entry: Triggered when the fast MA crosses below the slow MA, signaling a potential bearish trend shift.
Exit Conditions: Positions are closed when an opposite crossover occurs or when an optional stop-loss/take-profit is hit (if enabled).
The fast and slow MA types (SMA, EMA, etc.) and periods are user-configurable for flexibility. This crossover method aims to capture medium-term price trends while avoiding minor price noise, making it suitable for trending market conditions.
Note: As with all crossover systems, performance may vary in ranging markets. Combining with additional filters (volume, volatility, higher timeframe trend) can improve results.
EMA Analysis for Nasdaq V250815This TradingView strategy provides buy and sell entries based on exponential moving average (EMA) crossovers and EMA divergence. It is designed to trade the US100 on the 1-minute timeframe and has high effectiveness. Testing shows that 40% of the entries result in trades with a 4-to-1 ratio of winners to losers.
This new version includes parameters to adjust the strategy according to the day’s market behavior. The manual provides a detailed explanation of each of these parameters.
xauusd:Only suitable for 1 minute, short-term tradingxauusd
:Only suitable for 1 minute, short-term trading
EMA Crossover Entry + ATR ExitOverview
A robust trend-following strategy that combines multiple Exponential Moving Averages (EMAs) for precise entry signals with smoothed Average True Range (ATR) for dynamic, volatility-based exits. Designed for traders who want to capture strong trending long-term moves while protecting profits with intelligent stop-loss management.
Strategy Logic
Entry Signal:
- Enters LONG when price closes above EMA 20, AND
- EMA 20 > EMA 50 > EMA 100 > EMA 200 (Perfect bull alignment)
Ensures entry only during confirmed uptrends with all EMAs properly stacked
Exit Signal:
- Uses smoothed ATR.
- Creates dynamic trailing stop that adjusts to market volatility
- Exits when price closes below ATR.
Check volume in addition to this, to boost confidence for your entry.
This works well for Long Term Investment.
Use Daily or Weekly timeframe.
Key Features
✅ Trend Confirmation: Four-EMA stack ensures strong trend alignment before entry
✅ Volatility-Adaptive Exits: ATR smoothing prevents whipsaw exits in choppy markets
Perfect for traders seeking systematic trend-following with professional risk management. Combines the reliability of multiple timeframe trend confirmation with the precision of volatility-based exits.
Happy Investing!
:)
Feel free to provide feedback; I would love to hear from you.
Note:
Strategy executes on bar close to prevent repainting.
Past performance does not guarantee future results.
Use proper risk management.
Volume Spike Strategy by CzechroninThis strategy uses VOlume spikes to enter big trades
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Czechronin
EEI Strategy — Greedy/Guarded v1.2Purpose
Day‑trading strategy (5‑min focus) that hunts “armed” setups (PRE) and confirms them (GO) with greedy-but‑guarded execution. It adapts to symbol type, trend strength, and how long it’s been since the last signal.
Core signals & regime
Trend/Regime: EMA‑200 (intraday bias), VWAP, and a non‑repainting HTF EMA (via request.security(...) ).
Momentum/Structure: Manual Wilder DMI/ADX, micro‑ribbon (EMA 8/21), Bollinger‑Keltner squeeze + “squeeze fire,” BOS (break of swing high/low), pullback to band.
Liquidity/Vol: RVOL vs SMA(volume) + a latch (keeps eligibility a few bars after the first spike).
Volatility: ATR + ATR EMA (expansion).
PRE / GO engine
Score (0–100) aggregates trend, momentum, RVOL, squeeze, OBV slope, ribbon, pullback, BOS, and an Opening‑Range (OR) proximity penalty.
PRE arms when the adjusted score ≥ threshold and basic hygiene passes (ATR%, cooldown, etc.).
GO confirms within a dynamic window (1–3 bars):
Wick‑break mode on hot momentum (trend‑day / high ADX+RVOL): stop orders above/below the PRE high/low with a tick buffer.
Close‑through mode otherwise: close must push through PRE high/low plus ATR buffer.
Chase guard: entry cannot be too far from PRE price (ATR‑based), with a tiny extra allowance when the 8/21 ribbon aligns.
Multiple PREs per squeeze (capped) + per‑entry cooldown.
Adaptive behavior
Presets (Conservative/Balanced/Aggressive/Turbo) shift score/ADX/RVOL/ATR gates, GO window, cooldown, and max chase.
Profiles / Auto by Symbol:
Mega Trend (e.g., AMD/NVDA/TSLA/AAPL): looser chase, ATR stop, chandelier trail.
Mid Guarded (e.g., TTD/COIN/SOFI): swing stop, EMA trail, moderate gates.
Small Safe (e.g., BTAI/BBAI class): tighter gates, more guardrails.
BBAI micro‑override: easier arming (lower score/ADX/RVOL), multi‑PRE=3, swing stop + EMA trail, lighter OR penalty.
Trend‑day detector: if ADX hot + RVOL strong + ATR expanding + distance from day‑open large → GO window = 1 and wick‑break mode.
Mid‑day relaxers: mild score bonus between 10:30–14:30 to keep signals flowing in quieter tape.
Auto‑Relaxer (no‑signal fallback): after N bars without PRE/GO, gradually lowers score/ADX/RVOL/ATR% gates and raises max chase so the engine doesn’t stall on sleepy symbols.
Auto‑Session fallback: if RTH session isn’t detected (some tickers/premarket), it falls back to daily boundaries so Opening Range and day‑open logic still work.
Risk & exits
Initial stop per side chosen by ATR, Swing, or OR (computed every bar; no conditional calls).
Scaled targets: TP1/TP2 (R‑based) + runner with optional Chandelier or EMA trailing.
BE logic: optional move to breakeven after TP1; trailing can start after TP1 if configured.
Opening Range (OR)
Computes day open, OR high/low over configurable minutes; applies a penalty when entries are too close to OR boundary (lighter for small caps/BBAI). Protects against boundary whips.
Alerts & visuals
Alertconditions: PRE Long/Short Armed, GO Long/Short + explicit alert() calls for once‑per‑bar automation.
Plots: EMA‑200, HTF EMA, BB/KC bands, OR lines, squeeze shading, and PRE markers.
Why it’s robust
Non‑repainting HTF technique, all series precomputed every bar, no function calls hidden in conditionals that could break history dependence, and consistent state handling (var + sentinels).
Tuning cheat‑sheet (fast wins)
More trades: lower scoreBase, adxHot, or rvolMinBase a notch; reduce cooldownBase; increase maxPREperSqueeze.
Fewer whips: increase closeBufferATR, wickBufferTicks, or atrMinPct; reduce maxChaseATRBase.
Trend capture: use trailType="Chandelier", smaller trailLen, slightly larger trailMult; set preset="Aggressive".
Choppy names: prefer stopMode="Swing", enable EMA trail, keep OR penalty on.
EDWARDS SQUEEZE 3MINUTE DOWSqueeze Momentum Strategy with EMA780 Trend Filter, ATR-SL, PT, EMA5 Exit Filter, and 3:57 PM Close
BB Squeeze + Keltner Breakout + VolumeHow the Strategy Works
Bollinger Bands Squeeze: The strategy first looks for a "squeeze" in the Bollinger Bands. This happens when the bands narrow significantly, indicating a period of low market volatility and potential consolidation. The bbSqueeze variable becomes true when the Bollinger Bandwidth falls below a set
Elliott Wave Oscillator + PSAR + VolumeStrategy Logic
1. Indicators
Elliott Wave Oscillator (EWO): This oscillator measures the difference between a 5-period and a 35-period exponential moving average (EMA). It's used to identify momentum shifts and potential wave structures. A buy signal is triggered when the EWO crosses above its signal line (a 5-period simple moving average). A sell signal is triggered when it crosses below.
Parabolic SAR (PSAR): This indicator shows potential reversals in price direction. A buy signal requires the PSAR to be below the current price, indicating an uptrend. A sell signal requires the PSAR to be above the current price, indicating a downtrend.
Volume: The strategy checks for significant changes in volume compared to its 20-period simple moving average (SMA). A buy signal requires a volume increase of at least 20% above the SMA. A sell signal requires a volume decrease of at least 20% below the SMA.
EMA 200: This long-term moving average is used to determine the overall market trend. A buy signal is only considered when the EMA 200 is rising (uptrend). A sell signal is only considered when the EMA 200 is falling (downtrend).
2. Entry and Exit Conditions
Long (Buy) Entry: A long position is entered if all of the following conditions are met:
EWO crosses its signal line upwards.
PSAR is below the price.
Volume has increased significantly.
The EMA 200 is rising.
The current candle is a bullish candle (close > open).
Short (Sell) Entry: A short position is entered if all of the following conditions are met:
EWO crosses its signal line downwards.
PSAR is above the price.
Volume has decreased significantly.
The EMA 200 is falling.
The current candle is a bearish candle (close < open).
Exit Conditions: Both long and short positions have a fixed 1% take profit and a 1% stop loss to manage risk.
In summary, the strategy only enters trades when a combination of momentum (EWO), trend (PSAR, EMA 200), and volume indicators align in the same direction, with strict risk management in place.
FFH_Golden Gate StrategyThe FFH_Golden Gate Strategy is a method designed to help identify strong opportunities to enter and exit the market with discipline. It works by following the natural flow of price movements and identifying when prices are trending higher in a consistent way. The strategy uses a special average that adapts to the market, helping to separate meaningful trends from random fluctuations.
A buy signal is generated when the price moves significantly above this average, indicating strong upward momentum. This approach ensures that trades are only taken when the market shows clear strength, rather than during sideways or uncertain conditions.
An exit signal occurs when the price falls below the average, suggesting that the upward trend may be weakening. This allows the strategy to lock in gains and avoid holding positions when the market is turning against you.
Overall, the strategy is based on the simple idea of following the trend, entering on strength, and exiting before losses grow, providing a structured and disciplined approach to trading without relying on guesswork or emotional decisions.
Heiken Ashi + Ichimoku Baseline ScalperHi
This a trend identification strategy. You can hold your trade as long as the signals are in your favor.
Becomnigforextrader XAU M1 ScalperHi
The blue line is baseline of ichimoku or kiju sen. When thee is divergence between pice and baseline, the signals are not correct.
As long as there are signals in your trade direction, you can hold your trade.
This strategy depicts mometum and current trend.
CVD Daily High/Low Breakout StrategyThis script implements a breakout-based approach using Cumulative Volume Delta (CVD) alongside price action, designed for educational and analytical purposes on TradingView charts. It plots CVD as a candle chart and draws horizontal lines for session highs and lows in CVD and price, which are used to identify potential breakout points. Entries are triggered when both CVD and price break these levels, confirmed by swing patterns, EMA alignment, and multi-timeframe Supertrend direction. Exits are managed with a user-defined risk-reward ratio and stop-loss based on recent swings.
Key Components:
CVD Calculation: Utilizes TradingView's ta.requestVolumeDelta to approximate volume delta from lower timeframes, plotted as candles for visual analysis.
Session Management: Starts a new session at a user-specified UTC time (default 22:00), tracking highs/lows in CVD and price until an EMA cross ends the session.
Breakout Logic: Requires dual confirmation (CVD and price breakout) with a delta proportion check to filter outliers.
Filters: Incorporates swing high/low detection with candlestick patterns (e.g., hammers, engulfing) for stop placement, and Supertrend on two higher timeframes (default H1 and H4) for trend alignment.
Table Display: Shows Supertrend trends from the selected timeframes in a top-right table for quick reference.
Inputs:
Anchor Period: Timeframe for CVD reset (default "1D").
EMA Length: Period for the EMA used in session ending (default 200).
Start Time (UTC): Hour and minute to begin daily sessions (default 22:00).
Pivot Length: Bars for swing detection (default 5).
Risk Reward Ratio: Multiplier for take-profit relative to stop-loss (default 1.0).
Supertrend Settings: Source (close), ATR period (10), multiplier (3.0), and two timeframes (60m, 240m).
Line Colors/Width: Customizable for high/low CVD lines.
This script is intended solely for informational and educational use to explore volume delta and breakout concepts. It does not constitute financial, investment, trading, or any other type of advice or recommendation. Past performance, including any backtest results, is not indicative of future results, and trading involves substantial risks, including the potential for significant losses. Users should conduct their own research, consult qualified financial professionals, and consider their individual financial situation before making any trading decisions. TradingView does not endorse this script or its content, and neither the author nor TradingView is liable for any losses incurred from its use. All trading activities are at your own risk.
光速量化-头皮策略v1.1Version: Unlimited trial version.
Principle: RSI and moving average complement each other, taking a bite of both oscillation and trend.
Disadvantage: High drawdown.
Disclaimer: The scalp strategy v1.1 of Lightspeed Quantification is designed for trial users. Those who use this strategy are responsible for their own assets, and any losses incurred are not the responsibility of the author.
版本:无期限试用版。
原理:RSI与均线配合,震荡与趋势都吃一口。
缺点:回撤高。
声明:光速量化的头皮策略v1.1是面向试用者体验的,使用该策略的人请为自己的资产负责,产生任何损失与作者无关。
The Barking Rat PercentilesPercentile Reversion with Multi-Layered Smoothing
The Barking Rat Percentiles is a multi-tiered reversion strategy based on fixed percentage movements away from the mean, designed to capture price extremes through a structured, practical approach. It combines statistically derived percentile bands, RSI momentum filtering, and ATR-driven exits to identify potential turning points while managing opportunity with precision. The aim is to isolate high-quality reversal opportunities at progressively deeper extremes while avoiding noise and low-conviction setups.
At its core, the strategy measures the current market position relative to long-term percentile thresholds. When price moves significantly beyond these smoothed levels and momentum shows signs of exhaustion, staged entries are triggered. Exits are managed using independent ATR-based take profit and stop loss logic to adapt to varying volatility conditions.
🧠 Core Logic: Tiered Extremes & Structured Management
This strategy is intentionally methodical, layering multiple thresholds and validation checks before highlighting potential setups. By combining percentile-based extremes with momentum confirmation and adaptive trade management, it offers a disciplined and repeatable framework for mean reversion trading.
1. Percentile Thresholds as the Primary Framework
The script calculates the highest high and lowest low over a long lookback period of more than 1000 candles to define the overall price range. It then derives upper and lower percentile thresholds to determine extreme price levels. These thresholds are smoothed using a simple moving average to filter out short-term noise, ensuring that only statistically significant deviations from the mean are considered for potential trades.
2. Multi-Tier Entry Levels
Based on the percentile distance away from the mean, the script plots and references five discrete trigger levels beyond the primary thresholds for both long and short positions. Each tier represents progressively deeper extremes, typically 1–3% beyond the smoothed threshold, balancing the benefits of early entries with the safety of more confirmed extremes. Custom logic ensures only one signal is generated per threshold level, avoiding duplicate entries in the same zone.
3. RSI Momentum Filter
A 14-period RSI filter is applied to prevent entering trades against strong momentum. Long trades are only triggered when RSI falls below 30 (oversold), and short trades only when RSI rises above 70 (overbought). This helps align entries with potential exhaustion points, reducing the risk of entering prematurely into a strong ongoing trend.
4. ATR-Based Trade Management
For each trade sequence, the strategy will exit on the first exit condition met: either the take profit (TP) or the stop loss (SL). Because the TP uses a smaller ATR multiplier, it’s generally closer to the entry price, so most trades will hit the TP before reaching the SL. The SL is intentionally set with a larger ATR multiplier to give the trade room to develop, acting as a protective fallback rather than a frequent exit.
So in practice, you’ll usually see the TP executed for a trade, and the SL only triggers in cases where price moves further against the position than expected.
5. Position Reset Logic
Once price returns to the smoothed threshold region, all entry tiers in that direction are reset. This allows the system to prepare for new opportunities if the market revisits extreme levels, without triggering duplicate trades at the same threshold.
Why These Parameters Were Chosen
Multi-tier thresholds ensure that only meaningful extremes are acted upon, while the long-range SMA provides historical context and filters out noise. The staged entry logic per level balances the desire for early participation with the discipline of risk management. ATR-based TP and SL levels adapt to changing volatility, while the RSI filter improves timing by aligning trades with potential exhaustion points. Together, these elements create a balanced, structured, and repeatable approach to mean reversion trading.
📈 Chart Visuals: Clear & Intuitive
Green “▲” below a candle: Potential long entry
Red “▼” above a candle: Potential short entry
Blue “✔️”: Exit when ATR take profit is hit
Orange “✘”: Exit when ATR stop loss is hit
Tier threshold lines (smoothed upper/lower bounds)
🔔Alerts: Stay Notified Without Watching
The strategy supports real-time alerts on candle close, ensuring that signals are only triggered once fully confirmed.
You must manually set up alerts within your TradingView account. Once configured, you’ll be able to set up one alert per instrument. This one alert covers all relevant signals and exits — ideal for hands-free monitoring.
⚙️Strategy report properties
Position size: 25% equity per trade
Initial capital: 10,000.00 USDT
Pyramiding: 10 entries per direction
Slippage: 2 ticks
Commission: 0.055% per side
Backtest timeframe: 1-minute
Backtest instrument: SOLUSDT
Backtesting range: Jul 28, 2025 — Aug 14, 2025
Note on Sample Size:
You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Percentiles strategy is ultra-selective, filtering out over 90% of market noise by enforcing multiple validation layers. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering.
For a larger dataset:
Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample.
💡Why 25% Equity Per Trade?
While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why:
Backtests using this sizing show manageable drawdowns even under volatile periods
The strategy generates a sizeable number of trades, reducing reliance on a single outcome
Combined with conservative filters, the 25% setting offers a balance between aggression and control
Users are strongly encouraged to customize this to suit their risk profile.
🔍 What Makes This Strategy Unique?
Multi-Tier Percentile Triggers – Instead of relying on a single overbought/oversold zone, this strategy uses five distinct entry tiers per direction, allowing for staged, precision entries at progressively deeper extremes.
Long-Term Percentile Smoothing – By calculating extremes over a 1000+ candle range and smoothing them with a moving average, the strategy focuses only on statistically significant deviations.
Custom One-Signal-Per-Tier Logic – Prevents duplicate trades at the same threshold level, reducing overtrading and noise.
Dual ATR Exit System – Independent TP and SL levels adapt to volatility. TP uses a smaller ATR multiplier for realistic, achievable exits and generally executes first, while the SL has a larger ATR multiplier to provide protective breathing room if the trade moves further against the position.
Momentum-Aware Filtering – A 14-period RSI filter ensures trades are only taken when momentum is likely exhausted, avoiding entries into strong trends.
Automatic Position Reset – Once price normalizes, tiers reset, allowing for fresh entries without interference from previous trades.
No Wick Strategy (No-wick candles) — by Sh1n1gam1**No Wick Strategy - Momentum Trading System**
This strategy identifies and trades "no wick" or "minimal wick" candles, which often indicate strong directional momentum and conviction in the market.
**STRATEGY CONCEPT:**
The No Wick Strategy capitalizes on candles that show strong directional commitment - bullish candles with little to no bottom wick (buyers in control from the start) and bearish candles with little to no top wick (sellers dominating from the open).
**HOW IT WORKS:**
📈 **LONG ENTRIES:**
- Identifies bullish candles with minimal/no bottom wick
- Places buy limit order slightly below the signal candle's open
- Enters only during specified trading session
📉 **SHORT ENTRIES:**
- Identifies bearish candles with minimal/no top wick
- Places sell limit order slightly above the signal candle's close
- Enters only during specified trading session
**KEY FEATURES:**
✅ Customizable trading session (New York timezone)
✅ Flexible wick threshold (0% for strict, up to X% for flexibility)
✅ ATR-based stop loss for dynamic risk management
✅ Configurable risk-reward ratio via TP multiplier
✅ Auto-cancellation of unfilled orders after X bars
✅ Body size filters (minimum and maximum)
✅ Visual signals and pending order levels
✅ Position status display
**RISK MANAGEMENT:**
- Stop Loss: Based on ATR multiplier
- Take Profit: Multiple of stop loss distance
- One position at a time
- No pyramiding or position flipping
**RECOMMENDED TIMEFRAMES:**
- M1 and M5 for scalping
- M15 and H1 for day trading
- H4 and Daily for swing trading
**MARKETS:**
Suitable for forex pairs, indices (NQ, ES), commodities, and liquid stocks.
**DEFAULT SETTINGS:**
- Trading Session: 09:30-11:00 ET (NY morning session)
- ATR SL Multiplier: 1.5
- TP Multiplier: 2.0 (2:1 RR ratio)
- Wick Threshold: 5%
- Order Cancellation: 5 bars
**TIPS FOR OPTIMIZATION:**
1. Adjust trading session to match your market's most active hours
2. Test different wick thresholds (0-10%) based on market volatility
3. Optimize body size filters for your specific instrument
4. Backtest different ATR multipliers for your risk tolerance
5. Consider market conditions - works best in trending markets
**IMPORTANT NOTES:**
- Uses limit orders for better entry prices
- Does not close opposing positions (no position flipping)
- Respects trading session boundaries strictly
- All times are in America/New_York timezone
**AUTHOR:** Sh1n1gam1
**VERSION:** 1.0
**SUPPORT:** Comments and suggestions welcome!
Happy Trading! 📊