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Turtle Strategy - Triple EMA Trend with ADX and ATRDescription
The Triple EMA Trend strategy is a directional momentum system built on the alignment of three exponential moving averages and a strong ADX confirmation filter. It is designed to capture established trends while maintaining disciplined risk management through ATR-based stops and targets.
Core Logic
The system activates only under high-trend conditions, defined by the Average Directional Index (ADX) exceeding a configurable threshold (default: 43).
A bullish setup occurs when the short-term EMA is above the mid-term EMA, which in turn is above the long-term EMA, and price trades above the fastest EMA.
A bearish setup is the mirror condition.
Execution Rules
Entry:
• Long when ADX confirms trend strength and EMA alignment is bullish.
• Short when ADX confirms trend strength and EMA alignment is bearish.
Exit:
• Stop Loss: 1.8 × ATR below (for longs) or above (for shorts) the entry price.
• Take Profit: 3.3 × ATR in the direction of the trade.
Both parameters are configurable.
Additional Features
• Start/end date inputs for controlled backtesting.
• Selective activation of long or short trades.
• Built-in commission and position sizing (percent of equity).
• Full visual representation of EMAs, ADX, stop-loss, and target levels.
This strategy emphasizes clean trend participation, strict entry qualification, and consistent reward-to-risk structure. Ideal for swing or medium-term testing across trending assets.
15 minute breakout strat version Breakout strategy for the 4th 15 minute candle of the US session.
Ideal for ES and GC currently.
2 Lots per trade. Stop is low of candle. Entry is close of 15 minute candle above high of candle.
TP1 is 1.5x entry - stop (1.5:1 RR on first lot). Stop is trailed below lows of subsequent candles for 2nd lot.
Scalping Pro Max - BVKScalping Pro Max Strategy is a powerful intraday setup built for precision and speed.
It combines EMA 21, MACD, and RSI to identify short-term market momentum.
The 21 EMA acts as a dynamic trend filter — price above it signals bullish bias.
MACD confirms momentum strength and possible entry zones with crossover signals.
RSI helps spot overbought or oversold levels for accurate entry timing.
This setup works best on 1-min to 5-min charts for quick scalping opportunities.
Traders aim for small but consistent profits with tight stop-losses.
It avoids false breakouts by aligning all three indicators before entry.
Perfect for volatile sessions like London and New York market hours.
Scalping Pro Max delivers high-precision trades with disciplined execution and timing.
5-Min EMA MACD RSI Scalping (MACD 5 Candles Confirm) - BVK 🔹 5-Min EMA MACD RSI Scalping Strategy – Full Description
The 5-Min EMA MACD RSI Scalping Strategy is a powerful intraday trading technique designed for quick trades on lower timeframes, mainly the 5-minute chart. It combines trend confirmation (EMA), momentum analysis (MACD), and overbought/oversold signals (RSI) to capture short, high-probability price moves in both bullish and bearish markets.
⚙️ Indicators Used:
Exponential Moving Averages (EMA)
EMA 9 – Fast-moving average for entry trigger.
EMA 21 – Medium-term average for trend confirmation.
When EMA 9 crosses above EMA 21 → Bullish bias.
When EMA 9 crosses below EMA 21 → Bearish bias.
MACD (12, 26, 9)
Confirms momentum and possible entry zones.
Bullish confirmation: MACD line crosses above signal line.
Bearish confirmation: MACD line crosses below signal line.
RSI (14-period)
Filters out false signals.
Buy zone: RSI rising above 40–50.
Sell zone: RSI falling below 60–50.
Avoid trades when RSI is near 70 (overbought) or 30 (oversold).
💡 Entry Rules:
Buy Setup (Long Trade):
EMA 9 crosses above EMA 21.
MACD line crosses above signal line (positive momentum).
RSI is above 50 but below 70 (confirming strength).
Enter trade at candle close.
Sell Setup (Short Trade):
EMA 9 crosses below EMA 21.
MACD line crosses below signal line.
RSI is below 50 but above 30 (confirming weakness).
Enter trade at candle close.
🎯 Exit Rules:
Take Profit: 1.5x to 2x of risk or near the opposite EMA crossover.
Stop Loss: Below/above recent swing low/high or 0.3–0.5% away from entry.
Optional trailing stop using EMA 9 for dynamic exits.
📊 Best Timeframes & Assets:
Works best on 5-minute charts.
Suitable for Forex, Indices, Cryptocurrency, and Stocks with good liquidity.
Avoid major news events or low-volume sessions.
⚠️ Tips for Best Results:
Trade only during high-volume market sessions (e.g., London/New York overlap).
Always confirm trend direction on higher timeframes (15m or 1H).
Avoid overtrading—wait for clear signal confluence (EMA + MACD + RSI).
🧠 Strategy Summary:
“EMA gives you the trend, MACD gives you momentum, and RSI keeps you disciplined.”
This strategy is simple yet effective for traders who prefer quick in-and-out trades within minutes, offering a structured approach to scalping with reduced emotional bias.
Institutional Confluence Strategy - 4H Only This is the best 4H Strategy with over 8.1 Win rate. Test before implementing it.
| 🧠 **Auto Risk Sizing** | Calculates position size dynamically (based on equity & ATR). |
| ⚙️ **Dynamic SL/TP** | Adjusts to volatility automatically. |
| ⚡ **Range Adaptation** | Uses RSI + BB compression to catch sideways reversals. |
| 🎯 **Low-Noise Entries** | Requires SMA crossover + RSI + BB touch. |
| 📊 **Backtestable** | Use Strategy Tester to view win rate, profit factor, etc. |
SPY200SMA (+4%/-3%) TQQQ/QQQ STRATEGYSummary of the Improved Strategy: When the price of AMEX:SPY is +4% above the 200SMA BUY NASDAQ:TQQQ and when the price of SPY drops to -3% under the SPY 200SMA SELL everything and slowly DCA into NASDAQ:QQQ over the next 6-12 months or until price returns to +4% above the SPY 200SMA at which point you will go back into 100% TQQQ.
Note: (if the price of QQQ goes 30% above the 200SMA of QQQ deleverage to QQQ or Sell to protect yourself from dot com level event)
More info and stats -https://www.reddit.com/r/LETFs/comments/1nhye66/spy_200sma_43_tqqqqqq_long_term_investment/
XAU Aurum Precision Scalper Pro v1.0🏆 Aurum Precision Scalper Pro v1.0
SMMA 21/50/200 + RSI14 | Multi-Rule Gold Strategy (M3–M15)
💡 Overview
Aurum Precision Scalper Pro is a professional multi-rule intraday strategy built for scalping and day-trading XAUUSD (Gold) on short timeframes (3m, 5m, 15m).
It combines RSI, SMMA trend filters, volume, and volatility logic with clean breakout and mean-reversion mechanics.
Optimized for the London–New York overlap, this system captures directional moves while filtering out noise and false breakouts — the most common trap for gold traders.
⚙️ Core Components
1️⃣ Multi-Timeframe Guardrail
Works only on 3m / 5m / 15m charts for precision.
Prevents accidental backtests on irrelevant timeframes.
2️⃣ SMMA Trend Framework
Uses SMMA(21) for short-term bias,
SMMA(50) for medium-term direction,
SMMA(200) for higher-order trend control.
RSI(14) confirms momentum and prevents chasing extreme moves.
3️⃣ Global Filters
✅ Trend filter (optional):
• Longs only if close > SMMA200
• Shorts only if close < SMMA200
✅ SMMA proximity filters:
• Blocks trades when SMMA21–SMMA50 or SMMA21–SMMA200 are too close → reduces chop.
✅ Volume filter:
• Requires volume > SMA(volume) × multiplier.
✅ Impulse filter:
• Body size ≥ k × ATR (volatility confirmation).
✅ Active-session filter:
• Default: 07:00–20:00 CET (Europe/Brussels).
4️⃣ XAUUSD Preset (optional toggle)
When symbol = “XAU” or “GOLD”, auto-applies gold-specific tuning:
RSI thresholds tightened (BUY > 55 / SELL < 45)
Stronger volume & volatility filters
Stricter SMMA distance checks
Automatic session activation
⚔️ Entry Rules
Rule Setup Type Logic Summary
R1 Full SMMA breakout Price closes above (or below) all SMMAs + RSI confirms direction
R2 SMMA21 touch + alignment Price bounces on 21 while aligned with 50 & 200 + RSI filter
R3 3-bar engulfing reversal After 3 candles in one direction, an engulfing opposite bar + RSI momentum
R4 SMMA21/50 crossover 21 crosses 50 with trend & volume confirmation
All rules respect your global filters (trend, volume, impulse, proximity, sessions).
R2–R4 entries can be individually toggled ON/OFF in inputs.
💰 Exit Logic
Simple % exits (for quick prototyping):
• TP = +X% (default 1.0%)
• SL = −X% (default 0.5%)
All entries are managed individually (R1–R4 IDs).
More advanced versions include ATR-based partials, breakeven and dynamic trailing logic.
🎨 Visuals
SMMA21 → teal line
SMMA50 → orange line
SMMA200 → magenta line
On-chart labels for each rule (BUY/SELL R1–R4).
Alerts for all entry conditions — ready for automation or alerting bots.
🧠 Suggested Usage
Best window: 14:00–17:00 CET (London–New York overlap).
Ideal timeframes: M5 and M15.
Avoid over-trading during low volatility (Asian session).
For XAUUSD, enable all filters for realistic conditions.
Recommended baseline:
TP = 1.0%
SL = 0.5%
UseVolFilter = true
UseImpulse = true
GapFilter = true
TrendFilter = true
📈 Performance Tips
✅ Stronger filter = fewer but higher-quality trades.
✅ When gold volatility spikes (CPI/NFP/FOMC), increase “minGap%” thresholds slightly.
✅ For smooth trend capture, use R4 (SMMA21/50 cross) with trend filters ON.
✅ For reversals, combine R3 (engulfing) + RSI confirmation.
🧾 Changelog (v1.0)
✅ Multi-timeframe guard (3/5/15min only)
✅ 4 rule logic (R1–R4)
✅ Global filters: trend, volume, impulse, proximity
✅ XAUUSD preset with adaptive parameters
✅ Session/timezone logic
✅ Simple exits for fast backtesting
✅ On-chart labels and alert system
🧭 Recommended Title / Tagline for TradingView
Aurum Precision Scalper Pro v1.0
“A high-precision RSI-SMMA strategy for Gold scalpers — designed for the London–NY overlap.”
🔖 Tags
#XAUUSD #Gold #Scalping #SMMA #RSI #Strategy #DayTrading #PineScriptV6 #ATR #TrendFollowing #Breakout
EMA Trend Buy sell strategyThis strategy is built to help investors get into a trend safely and smartly — without rushing and without getting in and out too often.
When to Buy:
First Signal – Small Step In (50% Buy)
When the short-term trend (EMA 18) turns positive and goes above the medium trend (EMA 33),
👉 we buy half of our planned position.
This is an early warning that a new upward trend might be starting.
Second Signal – Full Confidence (Buy other 50%)
If the medium-term trend (EMA 33) also crosses above the long-term (EMA 50),
👉 we buy the other half of the position.
Now we’re more confident that the trend is real.
When to Sell:
First Warning – Reduce Position (Sell 50%)
If EMA 33 falls below EMA 50,
👉 we sell half of the position to reduce risk.
Trend Reversal – Exit Completely (Sell the rest)
If EMA 18 also falls below EMA 33,
👉 we sell the remaining half and leave the trade fully.
Why This Strategy?
📉 We don’t jump in all at once.
→ We wait for confirmation before going full in.
⏳ We stay in the trade as long as the trend is healthy.
→ No overtrading or reacting to small moves.
📊 We get out slowly, not suddenly.
→ This helps protect profits and avoid emotional decisions.
FirstStrike Long 200 - Daily Trend Rider [KedArc Quant]Strategy Description
FirstStrike Long 200 is a disciplined, long-only momentum strategy designed for daily "strike-first" entries in trending markets. It scans for RSI momentum above a customizable trigger (default 50), confirmed by EMA trend filters, and limits you to *exactly one trade per day* to avoid overtrading. It uses ATR for dynamic risk management (1.5x stop, 2:1 RR target) and optional trailing stops to ride winners. Backtested with realistic commissions and sizing, it prioritizes low drawdowns (<1% max in tests) over aggressive gains—ideal for swing traders seeking quality setups in bull runs.
Why It's Different from Other Strategies
Unlike generic RSI crossover bots or EMA ribbon mashups that spam signals and bleed in chop, FirstStrike enforces a "one-and-done" daily gate, blending precision momentum (RSI modes with grace/sustain) with robust filters (volume, sessions, rearm dips).
How It Helps Traders
- Reduces Emotional Trading: One entry/day forces discipline—miss a setup? Wait for tomorrow. Perfect for busy pros avoiding screen fatigue.
- Adapts to Regimes: Switch modes for trends ("Cross+Grace") vs. ranges ("Any bar")—boosts win rates 5-10% in backtests on high-beta names like .
- Risk-First Design: ATR scales stops to vol capping DD at 0.2% while targeting 2R winners. Trailing option locks +3-5% runs without early exits.
- Quick Insights: Labels/alerts flag entries with RSI values; bgcolor highlights signals for visual scanning. Helps spot "first-strike" edges in uptrends, filtering ~60% noise.
Why This Is Not a Mashup
This isn't a Frankenstein of off-the-shelf indicators—while it uses standard RSI/EMA/ATR (core Pine primitives), the innovation lies in:
- Custom Trigger Engine: Switchable modes (e.g., "Cross+Grace+Sustain" requires post-cross hold) prevent perpetual signals, unlike basic `ta.crossover()`.
- Daily Rearm Gate: Resets eligibility only after a dip (if enabled), tying momentum to mean-reversion—original logic not found in common scripts.
- Per-Day Isolation: `var` vars + `ta.change(time("D"))` ensure zero pyramiding/overlaps, beyond simple session filters.
All formulae are derived in-house for "first-strike" (early RSI pops in trends), not copied from public repos.
Input Configurations
Let's break down every input in the FirstStrike Long 200 strategy. These settings let you tweak the strategy like a dashboard—start with defaults for quick testing,
then adjust based on your asset or timeframe (5m for intraday). They're grouped logically to keep things organized, and most have tooltips in the script for quick reminders.
RSI / Trigger Group: The Heart of Momentum Detection
This is where the magic starts—the strategy hunts for "upward energy" using RSI (Relative Strength Index), a tool that measures if a stock is overbought (too hot) or oversold (too cold) on a 0-100 scale.
- RSI Length: How many bars (candles) back to calculate RSI. Default is 14, like a 14-day window for daily charts. Shorter (e.g., 9) makes it snappier for fast markets; longer (21) smooths out noise but misses quick turns.
- Trigger Level (RSI >= this): The key RSI value where the strategy says, "Go time!" Default 50 means enter when RSI crosses or holds above the neutral midline. Why is this trigger required? It acts as your "green light" filter—without it, you'd enter on every tiny price wiggle, leading to endless losers. RSI above this shows building buyer power, avoiding weak or sideways moves. It's essential for quality over quantity, especially in one-trade-per-day setups.
- Trigger Mode: Picks how strict the RSI signal must be. Options: "Cross only" (exact RSI crossover above trigger—super precise, fewer trades); "Cross+Grace" (crossover or within a grace window after—gives a second chance); "Cross+Grace+Sustain" (crossover/grace plus RSI holding steady for bars—best for steady climbs); "Any bar >= trigger" (looser, any bar above—more opportunities but riskier in chop). Start with "Any bar" for trends, switch to "Cross only" for caution.
- Grace Window (bars after cross): If mode allows, how many bars post-RSI-cross you can still enter if RSI dips but recovers. Default 30 (about 2.5 hours on 5m). Zero means no wiggle room—pure precision.
- Sustain Bars (RSI >= trigger): In sustain mode, how many straight bars RSI must stay above trigger. Default 3 ensures it's not a fluke spike.
- Require RSI Dip Below Rearm Before Any Entry?: A yes/no toggle. If on, the strategy "rearms" only after RSI dips below a low level (like a breather), preventing back-to-back signals in overextended rallies.
- Rearm Level (if requireDip=true): The dip threshold for rearming. Default 45—RSI must go below this to reset eligibility. Lower (30) for deeper pullbacks in volatile stocks.
For the trigger level itself, presets matter a lot—default 50 is neutral and versatile for broad trends. Bump to 55-60 for "strong momentum only" (fewer but higher-win trades, great in bull runs like tech surges); drop to 40-45 for "early bird" catches in recoveries (more signals but watch for fakes in ranges). The optimize hint (40-60) lets you test these in TradingView to match your risk—higher presets cut noise by 20-30% in backtests.
Trend / Filters Group: Keeping You on the Right Side of the Market
These EMAs (Exponential Moving Averages) act like guardrails, ensuring you only long in uptrends.
- EMA (Fast) Confirmation: Short-term EMA for price action. Default 20 periods—price must be above this for "recent strength." Shorter (10) reacts faster to intraday pops.
- EMA (Trend Filter): Long-term EMA for big-picture trend. Default 200 (classic "above the 200-day" rule)—price above it confirms bull market. Minimum 50 to avoid over-smoothing.
Optional Hour Window Group: Timing Your Strikes
Avoid bad hours like lunch lulls or after-hours tricks.
- Restrict by Session?: Yes/no for using exact market hours. Default off.
- Session (e.g., 0930-1600 for NYSE): Time string like "0930-1600" for open to close. Auto-skips pre/post-market noise.
- Restrict by Hour Range?: Fallback yes/no for simple hours. Default off.
- Start Hour / End Hour: Clock times (0-23). Defaults 9-15 ET—focus on peak volume.
Volume Filter Group: No Volume, No Party
Confirms conviction—big moves need big participation.
- Require Volume > SMA?: Yes/no toggle. Default off—only fires on above-average volume.
- Volume SMA Length: Periods for the average. Default 20—compares current bar to recent norm.
Risk / Exits Group: Protecting and Profiting Smartly
Dynamic stops based on volatility (ATR = Average True Range) keep things realistic.
- ATR Length: Bars for ATR calc. Default 14—measures recent "wiggle room" in price.
- ATR Stop Multiplier: How far below entry for stop-loss. Default 1.5x ATR—gives breathing space without huge risk
- Take-Profit R Multiple: Reward target as multiple of risk. Default 2.0 (2:1 ratio)—aims for twice your stop distance.
- Use Trailing Stop?: Yes/no for profit-locking trail. Default off—activates after entry.
- Trailing ATR Multiplier: Trail distance. Default 2.0x ATR—looser than initial stop to let winners run.
These inputs make the strategy plug-and-play: Defaults work out-of-box for trending stocks, but tweak RSI trigger/modes first for your style.
Always backtest changes—small shifts can flip a 40% win rate to 50%+!
Outputs (Visuals & Alerts):
- Plots: Blue EMA200 (trend line), Orange EMA20 (price filter), Green dashed entry price.
- Labels: Green "LONG" arrow with RSI value on entries.
- Background: Light green highlight on signal bars.
- Alerts: "FirstStrike Long Entry" fires on conditions (integrates with TradingView notifications).
Entry-Exit Logic
Entry (Long Only, One Per Day):
1. Daily Reset: New day clears trade gate and (if required) rearm status.
2. Filters Pass: Time/session OK + Close > EMA200 (trend) + Close > EMA20 (price) + Volume > SMA (if enabled) + Rearmed (dip below rearm if toggled).
3. Trigger Fires: RSI >= trigger via selected mode (e.g., crossover + grace window).
4. Execute: Enter long at close; set daily flag to block repeats.
Exit:
- Stop-Loss: Entry - (ATR * 1.5) – dynamic, vol-scaled.
- Take-Profit: Entry + (Risk * 2.0) – fixed RR.
- Trailing (Optional): Activates post-entry; trails at Close - (ATR * 2.0), updating on each bar for trend extension.
No shorts or hedging—pure long bias.
Formulae Used
- RSI: `ta.rsi(close, rsiLen)` – Standard 14-period momentum oscillator (0-100).
- EMAs: `ta.ema(close, len)` – Exponential moving averages for trend/price filters.
- ATR: `ta.atr(atrLen)` – True range average for stop sizing: Stop = Entry - (ATR * mult).
- Volume SMA: `ta.sma(volume, volLen)` – Simple average for relative strength filter.
- Grace Window: `bar_index - lastCrossBarIndex <= graceBars` – Counts bars since RSI crossover.
- Sustain: `ta.barssince(rsi < trigger) >= sustainBars` – Consecutive bars above threshold.
- Session Check: `time(timeframe.period, sessionStr) != 0` – TradingView's built-in session validator.
- Risk Distance: `riskPS = entry - stop; TP = entry + (riskPS * RR)` – Asymmetric reward calc.
FAQ
Q: Why only one trade/day?
A: Prevents revenge trading in volatile sessions . Backtests show it cuts losers by 20-30% vs. multi-entry bots.
Q: Does it work on all assets/timeframes?
A: Best for trending stocks/indices on 5m-1H. Test on crypto/forex with wider ATR mult (2.0+).
Q: How to optimize?
A: Use TradingView's optimizer on RSI trigger (40-60) and EMA fast (10-30). Aim for PF >1.0 over 1Y data.
Q: Alerts don't fire—why?
A: Ensure `alertcondition` is enabled in script settings. Test with "Any alert() function calls only."
Q: Trailing stop too loose?
A: Tune `trailMult` to 1.5 for tighter; it activates alongside fixed TP/SL for hybrid protection.
Glossary
- Grace Window: Post-RSI-cross period (bars) where entry still allowed if RSI holds trigger.
- Rearm Dip: Optional pullback below a low RSI level (e.g., 45) to "reset" eligibility after signals.
- Profit Factor (PF): Gross profit / gross loss—>1.0 means winners outweigh losers.
- R Multiple: Risk units (e.g., 2R = 2x stop distance as target).
- Sustain Bars: Consecutive bars RSI stays >= trigger for mode confirmation.
Recommendations
- Backtest First: Run on your symbols (/) over 6-12M; tweak RSI to 55 for +5% win rate.
- Live Use: Start paper trading with `useSession=true` and `useVol=true` to filter noise.
- Pairs Well With: Higher TF (daily) for bias; add ADX (>25) filter for strong trends (code snippet in prior chats).
- Risk Note: 10% sizing suits $100k+ accounts; scale down for smaller. Not financial advice—past performance ≠ future.
- Publish Tip: Add tags like "momentum," "RSI," "long-only" on TradingView for visibility.
Strategy Properties & Backtesting Setup
FirstStrike Long 200 is configured with conservative, realistic backtesting parameters to ensure reliable performance simulations. These settings prioritize capital preservation and transparency, making it suitable for both novice and experienced traders testing on stocks.
Initial Capital
$100,000 Standard starting equity for portfolio-level testing; scales well for retail accounts. Adjust lower (e.g., $10k) for smaller simulations.
Base Currency
Default (USD) Aligns with most US equities (e.g., NASDAQ symbols); auto-converts for other assets.
Order Size
1 (Quantity) Fixed share contracts for simplicity—e.g., buys 1 share per trade. For % of equity, switch to "Percent of Equity" in strategy code.
Pyramiding
0 Orders No additional entries on open positions; enforces strict one-trade-per-day discipline to avoid overexposure.
Commission
0.1% Realistic broker fee (e.g., Interactive Brokers tier); factors in round-trip costs without over-penalizing winners.
Verify Price for Limit Orders
0 Ticks No slippage delay on TPs—assumes ideal fills for historical accuracy.
Slippage
0 Ticks Zero assumed slippage for clean backtests; real-world trading may add 1-2 ticks on volatile opens.
These defaults yield low drawdowns (<0.3% max in tests) while capturing trend edges. For live trading, enable slippage (1-3 ticks) to mimic execution gaps. Always forward-test before deploying!
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
BTC 5-MA Multi Cross Strategy By Hardik Prajapati Ai TradelabThis strategy is built around the five most powerful and commonly used moving averages in crypto trading — 5, 20, 50, 100, and 200-period SMAs (Simple Moving Averages) — applied on a 1-hour Bitcoin chart.
Core Idea:
The strategy aims to identify strong bullish trends by confirming when the price action crosses above all key moving averages. This alignment of multiple MAs indicates momentum shift and helps filter out false breakouts.
⸻
⚙️ How It Works:
1. Calculates 5 Moving Averages:
• 5 MA → Short-term momentum (fastest signal)
• 20 MA → Near-term trend confirmation
• 50 MA → Mid-term trend filter
• 100 MA → Long-term trend foundation
• 200 MA → Macro-trend direction (strongest support/resistance)
2. Buy Condition (Entry):
• A Buy is triggered when:
• The price crosses above the 5 MA, and
• The closing price remains above all other MAs (20, 50, 100, 200)
This signals that momentum is aligned across all time horizons — a strong uptrend confirmation.
3. Sell Condition (Exit):
• The position is closed when price crosses below the 20 MA, showing weakness in short-term momentum.
4. Visual Signals:
• 🟢 BUY triangle below candles → Entry signal
• 🔴 SELL triangle above candles → Exit signal
• Colored MAs plotted for trend clarity.
⸻
📈 Recommended Usage:
• Chart: BTC/USDT
• Timeframe: 1 Hour
• Type: Trend-following crossover strategy
• Ideal for: Identifying major breakout moves and confirming trend reversals.
⸻
⚠️ Notes:
• This script is meant for educational and backtesting purposes only.
• Always apply additional confirmation tools (like RSI, Volume, or VIX-style filters) before live trading.
• Works best during trending markets; may produce whipsaws in sideways zones.
PG DMean & Price Sync ver 9.4 - ConsolidatedPG DMean & Price Sync Strategy (SD Filter)
This strategy combines the momentum-oscillator properties of the Detrended Mean (DMean) with a Standard Deviation (SD) Price Filter for confirming trend direction, aiming to isolate high-conviction trades while actively managing risk.
🔑 Core Logic
DMean Momentum Signal: The strategy's primary engine is the DMean, which measures the percentage difference between the current closing price and a longer-term Moving Average (price_ma). It is then smoothed by a DMean Signal line (MA of the DMean).
Entry Signal: A trade is triggered when the DMean line crosses above (for Long) or below (for Short) its Signal Line, but it must clear a user-defined Dead Zone Threshold to confirm momentum commitment.
SD Filter Confirmation (Price Sync): A Standard Deviation Channel, based on a separate user-defined price source and period, is used to filter trades.
Long Filter: Allows Long entries only when the price is trading above the lower SD band, suggesting the current price action is stronger than the recent average volatility to the downside.
Short Filter: Allows Short entries only when the price is currently below the Filter Basis (SMA), confirming a bearish stance within the SD channel.
🛡️ Risk & Exit Management
Primary Exit: All trades are exited by reverse DMean Crossover/Crossunder, meaning the position is closed when the DMean momentum reverses against the open trade (e.g., DMean crosses under the Signal to exit a Long).
Hard Stop Loss (Short Trades): A mandatory percentage-based Hard Stop Loss is implemented only for short positions to protect against sudden upward price spikes, closing the trade if the loss exceeds the set percentage. (Note: This version does not include a Hard SL for Long trades).
📊 Performance Dashboard
A custom Performance Dashboard Table is displayed at the bottom right of the chart to provide real-time, at-a-glance comparison of the strategy's equity performance versus a simple Buy & Hold over the selected backtesting date range.
SuperTrended Moving Averages Strategyself use
used in 1 second timeframe
please let me publish it aaa
Not Your Daddy's EMA CrossoverNot Your Daddy's EMA Crossover - Quick Guide
What It Does
This isn't your typical 50/200 EMA crossover. It uses academically-proven, optimized EMA periods specifically backtested for crypto markets. Instead of generic settings, it adapts to different trading styles with research-backed parameter combinations that have demonstrated real returns.
Core Logic
Enters when fast EMA crosses slow EMA in the trend direction (confirmed by 200 SMA filter)
Exits either on opposite EMA cross (trend-following) or at fixed profit targets (scalping)
Uses a 200 SMA to filter trades - only longs above it, only shorts below it
Key Settings & Toggles
1. Trading Style (Auto-adjusts EMA periods):
"15 Min Scalping": 9/21 EMA - Fast-paced, frequent signals
"1 Hour Swing": 13/48 EMA - For swing trading
"Daily Trend": 15/150 MA - Captured +97.87% in bull runs
2. Entry Method:
"Crossover Entry": Enters immediately on EMA cross
"Pullback to EMA Entry": Waits for first pullback to slow EMA (better risk/reward)
3. Exit Method:
"EMA Cross Exit": Trend-following, lets winners run until EMAs reverse
"Fixed % Target (Scalping)": Quick 0.5-1% profits with tight stops
4. Optional Features:
MACD Confirmation: Adds 6-15-1 MACD filter for higher-probability setups
Periodic Compounding: Compounds every 30 hours (research shows 1-30 hour compounding is optimal)
Recommended Timeframes
📊 Match your chart to your selection:
Select "15 Min Scalping" → Use 15-minute chart
Select "1 Hour Swing" → Use 1-hour chart
Select "Daily Trend" → Use daily chart
I personally like this on the daily, which coincidentally is printing a long signal today on Bitcoin.
Enjoy!
Universal Breakout Strategy [KedArc Quant]Description:
A flexible breakout framework where you can test different logics (Prev Day, Bollinger, Volume, ATR, EMA Trend, RSI Confirm, Candle Confirm, Time Filter) under one system.
Choose your breakout mode, and the strategy will handle entries, exits, and optional risk management (ATR stops, take-profits, daily loss guard, cooldowns).
An on-chart info table shows live mode values (like Prev High/Low, Bollinger levels, RSI, etc.) plus P&L stats for quick analysis.
Use it to compare which breakout style works best on your instrument and timeframe, whether intraday, swing, or positional trading
🔑 Why it’s useful
* Flexibility: Switch between breakout strategies without loading different indicators.
* Clarity: On-chart info table displays current mode, relevant indicator levels, and live strategy P&L stats.
* Testing efficiency: Quickly A/B test different breakout styles under the same backtest environment.
* Transparency: Every trade is rule-based and displayed with entry/exit markers.
🚀 How it helps traders
* Lets you experiment with breakout strategies quickly without loading multiple scripts.
* Helps identify which breakout method fits your instrument & timeframe.
* Gives clear on-chart visual + statistical feedback for confident decision-making.
⚙️ Input Configuration
* Breakout Mode → choose which strategy to test:
* *Prev Day* → breakouts of yesterday’s High/Low.
* *Bollinger* → Upper/Lower BB pierce.
* *Volume* → Breakout confirmed with volume above average.
* *ATR Stop* → Wide range breakout using ATR filter.
* *Time Filter* → Breakouts inside defined session hours.
* *EMA Trend* → Breakouts only in EMA fast > slow alignment.
* *RSI Confirm* → Breakouts with RSI confirmation (e.g. >55 for longs).
* *Candle Confirm* → Breakouts validated by bullish/bearish candle.
* Lookback / ATR / Bollinger inputs → adjust sensitivity.
* Intrabar mode → option to evaluate breakouts using bar highs/lows instead of closes.
* Table options → show/hide info table, show/hide P&L stats, choose corner placement.
📈 Entry & Exit Logic
* Entry → occurs when breakout condition of chosen mode is met.
* Exit → default exits via opposite signals or optional stop/target if enabled.
* Session filter → optional auto-flat at session end.
* P&L management → optional daily loss guard, cooldown between trades, and ATR-based stop/take profit.
❓ FAQ — Choosing the best setup
Q: Which strategy should I use for which chart?
* *Prev Day Breakouts*: Best on indices, FX, and liquid futures with strong daily levels.
* *Bollinger*: Works well in range-bound environments, or crypto pairs with volatility compression.
* *Volume*: Good on equities where breakout strength is tied to volume spikes.
* *ATR Stop*: Suits volatile instruments (commodities, crypto).
* *EMA Trend*: Useful in trending markets (stocks, indices).
* *RSI Confirm*: Adds momentum filter, better for swing trades.
* *Candle Confirm*: Ideal for scalpers needing visual confirmation.
* *Time Filter*: For intraday traders who want signals only in high-liquidity sessions.
Q: What timeframe should I use?
* Intraday traders → 5m to 15m (Time Filter, Candle Confirm).
* Swing traders → 1H to 4H (EMA Trend, RSI Confirm, ATR Stop).
* Position traders → Daily (Prev Day, Bollinger).
* Breakout
A trade entry condition triggered when price crosses above a resistance level (for longs) or below a support level (for shorts).
* Prev Day High/Low
Formula:
Prev High = High of (Day )
Prev Low = Low of (Day )
* Bollinger Bands
Formula:
Basis = SMA(Close, Length)
Upper Band = Basis + (Multiplier × StdDev(Close, Length))
Lower Band = Basis – (Multiplier × StdDev(Close, Length))
* Volume Confirmation
A breakout is only valid if:
Volume > SMA(Volume, Length)
* ATR (Average True Range)
Measures volatility.
Formula:
ATR = SMA(True Range, Length)
where True Range = max(High–Low, |High–Close |, |Low–Close |)
* EMA (Exponential Moving Average)
Weighted moving average giving more weight to recent prices.
Formula:
EMA = (Price × α) + (EMA × (1–α))
with α = 2 / (Length + 1)
* RSI (Relative Strength Index)
Momentum oscillator scaled 0–100.
Formula:
RSI = 100 – (100 / (1 + RS))
where RS = Avg(Gain, Length) ÷ Avg(Loss, Length)
* Candle Confirmation
Bullish candle: Close > Open AND Close > Close
Bearish candle: Close < Open AND Close < Close
Win Rate (%)
Formula:
Win Rate = (Winning Trades ÷ Total Trades) × 100
* Average Trade P&L
Formula:
Avg Trade = Net Profit ÷ Total Trades
📊 Performance Notes
The Universal Breakout Strategy is designed as a framework rather than a single-asset optimized system. Results will vary depending on the chart, timeframe, and asset chosen.
On the current defaults (15-minute, INR-denominated example), the backtest produced 132 trades over the selected period. This provides a statistically sufficient sample size.
Win rate (~35%) is relatively low, but this is balanced by a positive reward-to-risk ratio (~1.8). In practice, a lower win rate with larger wins versus smaller losses is sustainable.
The average P&L per trade is close to breakeven under default settings. This is expected, as the strategy is not tuned for a single symbol but offered as a universal breakout framework.
Commissions (0.1%) and slippage (1 tick) are included in the simulation, ensuring realistic conditions.
Risk management is conservative, with order sizing set at 1 unit per trade. This avoids over-leveraging and keeps exposure well under the 5-10% equity risk guideline.
👉 Traders are encouraged to:
Experiment with inputs such as ATR period, breakout length, or Bollinger parameters.
Test across different timeframes and instruments (equities, futures, forex, crypto) to find optimal setups.
Combine with filters (trend direction, volatility regimes, or volume conditions) for further refinement.
⚠️ Disclaimer This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
顺序三连穿越:2/3先入 + 3/3加仓(仅低波动过滤)策略描述(中文)
本策略基于 顺序三连穿越 原则:当 MA5 依次上穿 MA10、MA30、MA60 时,触发趋势做多信号;反之依次下穿时触发做空信号。
在完成 2/3 穿越时即可先行入场,完成 3/3 穿越时可选择加仓确认。
为减少震荡磨损,策略引入了布林带带宽过滤:当市场波动率过低时禁止入场。同时设有 冷静期,避免刚出场后立即反复进场。
该系统适用于趋势性较强或弱趋势行情,能够较好地捕捉单边走势,但在长时间震荡行情中仍可能遭遇利润侵蚀。
Strategy Description (English)
This strategy is built on the Sequential Triple Crossover principle:
When the 5-period moving average (MA5) sequentially crosses above MA10, MA30, and MA60, a bullish entry is triggered.
Conversely, when MA5 sequentially crosses below MA10, MA30, and MA60, a bearish entry is triggered.
An early entry is allowed once 2 out of 3 crossovers are completed, while the final crossover (3/3) can optionally serve as a confirmation add-on position.
To mitigate losses in choppy conditions, the system uses a Bollinger Bandwidth filter that blocks entries when volatility is too low. A cooldown period is also implemented to avoid immediate re-entries after closing a trade.
This setup performs well in trending or weak-trend environments, capturing directional moves effectively, but may still suffer from profit erosion during prolonged sideways markets.
Price Deviation StrategyThis strategy getting in long position only after the price drop
The % of the drop is Determined by SMA for the first trade
The inputs of SMA and % of the drop can be adjust from the User
After that bot start taking safe trades if not take profit from the first trade
The safe trades are Determined by step down deviation % and by quantity
There is no Stop loss is not for one with small tolerance to getting under
Take profit is average price + take profit - note if you use % trailing profit back test is not realistic but is working on real time
Max Safe Trades = 15
Capital max = $30000
Doge-USDT is just a example What the Strategy Can do
Green line - take profit
Black line - Brake even with fee - adjust for exchange
Dwaggy Scalping Trio (VWAP + EMA + RSI)First attempt at pine script this is a scalping indicator that combines VWAP, EMA, and RSI to signal entry/exit for scalping lower time frames
The Best Strategy Template[LuciTech]Hello Traders,
This is a powerful and flexible strategy template designed to help you create, backtest, and deploy your own custom trading strategies. This template is not a ready-to-use strategy but a framework that simplifies the development process by providing a wide range of pre-built features and functionalities.
What It Does
The LuciTech Strategy Template provides a robust foundation for building your own automated trading strategies. It includes a comprehensive set of features that are essential for any serious trading strategy, allowing you to focus on your unique trading logic without having to code everything from scratch.
Key Features
The LuciTech Strategy Template integrates several powerful features to enhance your strategy development:
•
Advanced Risk Management: This includes robust controls for defining your Risk Percentage per Trade, setting a precise Risk-to-Reward Ratio, and implementing an intelligent Breakeven Stop-Loss mechanism that automatically adjusts your stop to the entry price once a specified profit threshold is reached. These elements are crucial for capital preservation and consistent profitability.
•
Flexible Stop-Loss Options: The template offers adaptable stop-loss calculation methods, allowing you to choose between ATR-Based Stop-Loss, which dynamically adjusts to market volatility, and Candle-Based Stop-Loss, which uses structural price points from previous candles. This flexibility ensures the stop-loss strategy aligns with diverse trading styles.
•
Time-Based Filtering: Optimize your strategy's performance by restricting trading activity to specific hours of the day. This feature allows you to avoid unfavorable market conditions or focus on periods of higher liquidity and volatility relevant to your strategy.
•
Customizable Webhook Alerts: Stay informed with advanced notification capabilities. The template supports sending detailed webhook alerts in various JSON formats (Standard, Telegram, Concise Telegram) to external platforms, facilitating real-time monitoring and potential integration with automated trading systems.
•
Comprehensive Visual Customization: Enhance your analytical clarity with extensive visual options. You can customize the colors of entry, stop-loss, and take-profit lines, and effectively visualize market inefficiencies by displaying and customizing Fair Value Gap (FVG) boxes directly on your chart.
How It Does It
The LuciTech Strategy Template is meticulously crafted using Pine Script, TradingView's powerful and expressive programming language. The underlying architecture is designed for clarity and modularity, allowing for straightforward integration of your unique trading signals. At its core, the template operates by taking user-defined entry and exit conditions and then applying a sophisticated layer of risk management, position sizing, and trade execution logic.
For instance, when a longCondition or shortCondition is met, the template dynamically calculates the appropriate position size. This calculation is based on your specified risk_percent of equity and the stop_distance (the distance between your entry price and the calculated stop-loss level). This ensures that each trade adheres to your predefined risk parameters, a critical component of disciplined trading.
The flexibility in stop-loss calculation is achieved through a switch statement that evaluates the sl_type input. Whether you choose an ATR-based stop, which adapts to market volatility, or a candle-based stop, which uses structural price points, the template seamlessly integrates these methods. The ATR calculation itself is further refined by allowing various smoothing methods (RMA, SMA, EMA, WMA), providing granular control over how volatility is measured.
Time-based filtering is implemented by comparing the current bar's time with user-defined start_hour, start_minute, end_hour, and end_minute inputs. This allows the strategy to activate or deactivate trading during specific market sessions or periods of the day, a valuable tool for optimizing performance and avoiding unfavorable conditions.
Furthermore, the template incorporates advanced webhook alert functionality. When a trade is executed, a customizable JSON message is formatted based on your webhook_format selection (Standard, Telegram, or Concise Telegram) and sent via alert function. This enables seamless integration with external services for real-time notifications or even automated trade execution through third-party platforms.
Visual feedback is paramount for understanding strategy behavior. The template utilizes plot and fill functions to clearly display entry prices, stop-loss levels, and take-profit targets directly on the chart. Customizable colors for these elements, along with dedicated options for Fair Value Gap (FVG) boxes, enhance the visual analysis during backtesting and live trading, making it easier to interpret the strategy's actions.
How It's Original
The LuciTech Strategy Template distinguishes itself in the crowded landscape of TradingView scripts through its unique combination of integrated, advanced risk management features, highly flexible stop-loss methodologies, and sophisticated alerting capabilities, all within a user-friendly and modular framework. While many templates offer basic entry/exit signal integration, LuciTech goes several steps further by providing a robust, ready-to-use infrastructure for managing the entire trade lifecycle once a signal is generated.
Unlike templates that might require users to piece together various risk management components or code complex stop-loss logic from scratch, LuciTech offers these critical functionalities out-of-the-box. The inclusion of dynamic position sizing based on a user-defined risk percentage, a configurable risk-to-reward ratio, and an intelligent breakeven mechanism significantly elevates its utility. This comprehensive approach to capital preservation and profit targeting is a cornerstone of professional trading and is often overlooked or simplified in generic templates.
Furthermore, the template's provision for multiple stop-loss calculation types—ATR-based for volatility adaptation, and candle-based for structural support/resistance—demonstrates a deep understanding of diverse trading strategies. The underlying code for these calculations is already implemented, saving developers considerable time and effort. The subtle yet powerful inclusion of FVG (Fair Value Gap) related inputs also hints at advanced price action concepts, offering a sophisticated layer of analysis and execution that is not commonly found in general-purpose templates.
The advanced webhook alerting system, with its support for various JSON formats tailored for platforms like Telegram, showcases an originality in catering to the needs of modern, automated trading setups. This moves beyond simple TradingView pop-up alerts, enabling seamless integration with external systems for real-time trade monitoring and execution. This level of external connectivity and customizable data output is a significant differentiator.
In essence, the LuciTech Strategy Template is original not just in its individual features, but in how these features are cohesively integrated to form a powerful, opinionated, yet highly adaptable system. It empowers traders to focus their creative energy on developing their core entry/exit signals, confident that the underlying framework will handle the complexities of risk management, trade execution, and external communication with precision and flexibility. It's a comprehensive solution designed to accelerate the development of robust and professional trading strategies.
How to Modify the Logic to Apply Your Strategy
The LuciTech Strategy Template is designed with modularity in mind, making it exceptionally straightforward to integrate your unique trading strategy logic. The template provides a clear separation between the core strategy management (risk, position sizing, exits) and the entry signal generation. This allows you to easily plug in your own buy and sell conditions without altering the robust underlying framework.
Here’s a step-by-step guide on how to adapt the template to your specific trading strategy:
1.
Locate the Strategy Logic Section:
Open the Pine Script editor in TradingView and navigate to the section clearly marked with the comment //Strategy Logic Example:. This is where the template’s placeholder entry conditions (a simple moving average crossover) are defined.
2.
Define Your Custom Entry Conditions:
Within this section, you will find variables such as longCondition and shortCondition. These are boolean variables that determine when a long or short trade should be initiated. Replace the existing example logic with your own custom buy and sell conditions. Your conditions can be based on any combination of indicators, price action patterns, candlestick formations, or other market analysis techniques. For example, if your strategy involves a combination of RSI and MACD, you would define longCondition as (rsi > 50 and macd_line > signal_line) and shortCondition as (rsi < 50 and macd_line < signal_line).
3.
Leverage the Template’s Built-in Features:
Once your longCondition and shortCondition are defined, the rest of the template automatically takes over. The integrated risk management module will calculate the appropriate position size based on your Risk % input and the chosen Stop Loss Type. The Risk:Reward ratio will determine your take-profit levels, and the Breakeven at R feature will manage your stop-loss dynamically. The time filter (Use Time Filter) will ensure your trades only occur within your specified hours, and the webhook alerts will notify you of trade executions.
Triple Quad Frosty v4.5Triple Quad Frosty v4.5 is a Renko-friendly strategy that lets you trade from up to four signal sources per side. Orders are only placed when your chosen conditional filters (A/B/C) agree, giving you full control over when entries are valid. You decide how signals must line up — from simple single-source triggers to majority or full agreement across all four.
Renko-based, with customizable static stops, take profits, and trailing stops. Time/day filters, daily trade limits, and forced closures let you restrict trading to specific windows.
The HTF filters in Triple Quad Frosty v4.5 use a higher-timeframe Hull Moving Average (HMA) to confirm trend direction, while slope and distance settings on the local HMA help filter out weak or choppy setups. Longs only trigger when price is above the HTF HMA and meets slope/distance requirements, and shorts only when the opposite is true.
Color-coded labels mark each exit as a win or loss, with reversal trades labeled separately for clarity. Conditional bars plotted above and below the chart show when the A/B/C filters align on a long or short bias, giving clear visual confirmation of entry conditions. Stop loss and take profit levels are plotted directly on the chart with guide lines, so you can easily track active trade management in real time.
Extremum Range MA Crossover Strategy1. Principle of Work & Strategy Logic ⚙️📈
Main idea: The strategy tries to catch the moment of a breakout from a price consolidation range (flat) and the start of a new trend. It combines two key elements:
Moving Average (MA) 📉: Acts as a dynamic support/resistance level and trend filter.
Range Extremes (Range High/Low) 🔺🔻: Define the borders of the recent price channel or consolidation.
The strategy does not attempt to catch absolute tops and bottoms. Instead, it enters an already formed move after the breakout, expecting continuation.
Type: Trend-following, momentum-based.
Timeframes: Works on different TFs (H1, H4, D), but best suited for H4 and higher, where breakouts are more meaningful.
2. Justification of Indicators & Settings ⚙️
A. Moving Average (MA) 📊
Why used: Core of the strategy. It smooths price fluctuations and helps define the trend. The price (via extremes) must cross the MA → signals a potential trend shift or strengthening.
Parameters:
maLength = 20: Default length (≈ one trading month, 20-21 days). Good balance between sensitivity & smoothing.
Lower TF → reduce (10–14).
Higher TF → increase (50).
maSource: Defines price source (default = Close). Alternatives (HL2, HLC3) → smoother, less noisy MA.
maType: Default = EMA (Exponential MA).
Why EMA? Faster reaction to recent price changes vs SMA → useful for breakout strategies.
Other options:
SMA 🟦 – classic, slowest.
WMA 🟨 – weights recent data stronger.
HMA 🟩 – near-zero lag, but “nervous,” more false signals.
DEMA/TEMA 🟧 – even faster & more sensitive than EMA.
VWMA 🔊 – volume-weighted.
ZLEMA ⏱ – reduced lag.
👉 Choice = tradeoff between speed of reaction & false signals.
B. Range Extremes (Previous High/Low) 📏
Why used: Define borders of recent trading range.
prevHigh = local resistance.
prevLow = local support.
Break of these levels on close = trigger.
Parameters:
lookbackPeriod = 5: Searches for highest high / lowest low of last 5 candles. Very recent range.
Higher value (10–20) → wider, stronger ranges but rarer signals.
3. Entry & Exit Rules 🎯
Long signals (BUY) 🟢📈
Condition (longCondition): Previous Low crosses MA from below upwards.
→ Price bounced from the bottom & strong enough to push range border above MA.
Execution: Auto-close short (if any) → open long.
Short signals (SELL) 🔴📉
Condition (shortCondition): Previous High crosses MA from above downwards.
→ Price rejected from the top, upper border failed above MA.
Execution: Auto-close long (if any) → open short.
Exit conditions 🚪
Exit Long (exitLongCondition): Close below prevLow.
→ Uptrend likely ended, range shifts down.
Exit Short (exitShortCondition): Close above prevHigh.
→ Downtrend likely ended, range shifts up.
⚠️ Important: Exit = only on candle close beyond extremes (not just wick).
4. Trading Settings ⚒️
overlay = true → indicators shown on chart.
initial_capital = 10000 💵.
default_qty_type = strategy.cash, default_qty_value = 100 → trades fixed $100 per order (not lots). Can switch to % of equity.
commission_type = strategy.commission.percent, commission_value = 0.1 → default broker fee = 0.1%. Adjust for your broker!
slippage = 3 → slippage = 3 ticks. Adjust to asset liquidity.
currency = USD.
margin_long = 100, margin_short = 100 → no leverage (100% margin).
5. Visualization on Chart 📊
The strategy draws 3 lines:
🔵 MA line (thickness 2).
🔴 Previous High (last N candles).
🟢 Previous Low (last N candles).
Also: entry/exit arrows & equity curve shown in backtest.
Disclaimer ⚠️📌
Risk Warning: This description & code are for educational purposes only. Not financial advice. Trading (Forex, Stocks, Crypto) carries high risk and may lead to full capital loss. You trade at your own risk.
Testing: Always backtest & demo test first. Past results ≠ future profits.
Responsibility: Author of this strategy & description is not responsible for your trading decisions or losses.
Hull Suite Strategy with Time Filter. it This script filter the initial false signal at the opening of market
Liquidation Strategy📈 It enters a long trade when long liquidation spikes above a set threshold.
📉 It enters a short trade when short liquidation drops below the negative threshold.
🧮 It optionally filters entries using an EMA multiplier.
🔁 It exits long when RSI crosses below its smoothed version.
🔄 It exits short when RSI crosses above its smoothed version.
🔗 It requires linking to the Liquidations indicator on Bybit or OKX charts.