TSM 1987 RSI + Supertrend + High Volume StrategyRSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation.
The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals.
Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes.
🔑 Core Logic
BUY
Supertrend turns bullish
RSI is above the defined trend level
Volume is significantly higher than average
SELL
Supertrend turns bearish
RSI is below the defined trend level
Volume confirms strong selling pressure
🎯 Best Use
Works well for intraday and swing trading
Suitable for stocks, indices, crypto, and forex
Designed for trend-following with confirmation
⚠️ Disclaimer
This strategy is for educational purposes only.
Always use proper risk management and stop-loss.
Past performance does not guarantee future results.
المؤشرات والاستراتيجيات
TSM RSI + Supertrend + High Volume Strategy (BACKTESTED) 1987RSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation.
The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals.
Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes.
Core Logic
BUY
Supertrend turns bullish
RSI is above the defined trend level
Volume is significantly higher than average
SELL
Supertrend turns bearish
RSI is below the defined trend level
Volume confirms strong selling pressure
🎯 Best Use
Works well for intraday and swing trading
Suitable for stocks, indices, crypto, and forex
Designed for trend-following with confirmation
⚠️ Disclaimer
This strategy is for educational purposes only.
Always use proper risk management and stop-loss.
Past performance does not guarantee future results.
Econometrics Non Linear Strategy (RSI condition)
This strategy trades StochRSI extremes (OS/OB) but only enters when a Stata-trained logistic model assigns a high probability to the expected direction, then exits via time, probability decay, and/or mean-reversion back to the midline.
I know that many of you simply do not like math, so I will explain this scrip in two ways, the easy way and the mathematical way.
The easy way:
Think of the market like a **rubber band**:
* Sometimes price gets stretched too far down → it often snaps back up.
* Sometimes price gets stretched *too far up → it often snaps back down.
This script is built to:
1. Spot when the rubber band is stretched
2. Decide if it’s a good stretch to trade
3. Enter the trade
4. Exit when the snap-back is likely done
1) It looks for “extreme” moments (Stoch RSI)
The script uses a tool called the Stochastic RSI to tell if price is:
* Oversold = price got pushed down too hard (stretched down)
* Overbought = price got pushed up too hard (stretched up)
So, the script basically waits for:
* Oversold → “maybe buy”
* Overbought → “maybe sell”
2) It doesn’t trade every extreme (because many extremes fail)
This is the important part:
Even if something looks oversold/overbought, it doesn’t always bounce immediately.
So the script adds a smart filter:
* It gives each situation a score from 0% to 100%
* That score means: “How likely is it that this trade is worth taking?”
If the score isn’t high enough → the script does nothing.
3) It only enters trades when the score is high enough
You choose a number like 0.78 (78%).
* If the script thinks the chance is 78% or more, it enters.
* If it’s lower, it ignores it.
So it’s like:
> “I will only trade when my filter is confident.”
As you see in the image above, the market entered a volatile, sideways state. The model was able to accurately define the extreme lows, enter trades, and then exit with profitability.
4) Optional extra filter: RSI (on/off)
You can turn on an extra rule:
* RSI above 50 might support buying
* RSI below 50 might support selling
(or reversed if you flip it)
This is just a “more strict” option.
How it exits (how it decides when to leave)
The script can exit in 3 simple ways:
A) Time exit
> “If nothing happens after X bars, I’m leaving.”
B) Probability exit
> “If my score drops and the setup no longer looks good, I’m leaving.”
C) Midline exit (mean reversion exit)
> “Once Stoch RSI returns to normal (around the middle), I assume the bounce is done, so I take profit or exit.”
What the controls mean:
* Use Stoch zone gate: only trade when oversold/overbought
* Use probability gate: only trade when the setup score is high enough
* Use RSI gate: add an extra filter (optional)
* Reverse logic: flip the meaning (useful for testing)
* Trade mode + enable longs/shorts: choose long-only, short-only, or both (and it will enforce it)
NOTE!! This script is not FINANCIAL ADVICE. There is no script in the world that is guaranteed to make you money. This strategy is there to help you further confirm any entry based on your own strategy and belief
Here are some downsides to this strategy:
The market is sideways trading and has low volume. With slippage/commission, this strategy fails.
The blue circle is a missed chance at capturing the entire big move. You can then see the red circle contain two losing trades where it completely miss read the market.
When to use this strategy:
When looking at the XAUUSD for example, in an uncertain world, XAUUSD tends to be bullish. It works well when there is a clear trend in any forex pair or commodity.
I recommend you experiment with the settings and maybe build yourself your own winning strategy!
Mean-Reversion Strategy (RSI + ATR) v1
Entry: Wait for RSI(10) to cross 35 (bullish) or 65 (bearish)
Stop-loss: 2.5 times current ATR away from entry
Take-profit: 4 times current ATR away from entry
Risk: 2% of account per trade
Skip trades if price moved >5% recently or volume is below average
Risk/Reward: You risk $1 to make $1.60 (1:1.6 ratio)
That's the complete strategy. Simple, rules-based, volatility-adjusted for crypto.
AI Adaptive Trend Navigator Strategy Echo EditionAI Adaptive Trend Navigator Strategy
This is a professional long-only automated strategy optimized for Taiwan Index Futures (TX). Based on the LuxAlgo clustering framework, this version features advanced logic iteration for institutional-grade backtesting and execution.
1. Realistic Cost Modeling To ensure backtest reliability, this strategy is pre-configured with:
Slippage: 2 ticks (Approx. 400 TWD per side).
Commission: 100 TWD per side.
Total Cost: 500 TWD per side. This provides a rigorous stress test for real-world trading environments.
2. State Consistency & Logic Continuity Optimized the underlying array handling to ensure "State Persistence." This eliminates the logic gaps common in real-time script execution, ensuring that historical signals are 100% consistent with live alerts.
3. Adaptive AI Clustering Utilizes K-means clustering to dynamically select the optimal ATR factors based on current market volatility, allowing the strategy to "evolve" as market regimes shift.
🧠 開發理念：追求實戰一致性的量化策略 本策略旨在為台指期（TX）提供一套具備真實參考價值的自動化系統。
✨ Echo 版核心優化點
數據連續性迭代：修正底層邏輯，確保訊號在即時盤勢中穩定不跳斷。
真實交易成本模擬：預設 2 點滑價 與 單邊 100 TWD 手續費，單邊總成本對標 500 TWD，拒絕虛假神單，挑戰最嚴苛的回測環境。
台指期專屬參數調校：融入針對台灣市場波動特性的預設參數與過濾邏輯。
🛡️ 進階實戰過濾
空間緩衝區 (Buffer Strategy)：價格需有效突破緩衝區才觸發，精準過濾盤整雜訊。
AI 信心評分系統：只有當動能穩定度達標時才會發進場訊號。
冷卻保護機制：有效抑制訊號在洗盤區間過度頻繁跳動。
⚠️ Disclaimer: Backtest results do not guarantee future performance.
Euro Day StrategyThis is a false breakout reversal strategy that fades short-term breakouts when they conflict with longer-term momentum. Here's the detailed breakdown:
Strategy Overview
Type: Counter-trend/Fade strategy disguised as breakout trading
Core Logic: Enter against immediate breakouts when longer-term momentum suggests the move is exhausted.
Strategy Classification
This is a FADE/EXHAUSTION strategy, NOT a breakout-following strategy
Enters against the immediate breakout direction
Bets on mean reversion when short-term price action diverges from longer-term momentum
Works best in ranging/choppy markets where breakouts frequently fail
Will get hurt in strong trending markets where breakouts are genuine
This strategy is designed for intraday mean-reversion trading on instruments that tend to range (likely forex or futures). It requires markets where false breakouts are common and price tends to snap back quickly.
Kevin J. Davey EURO Night StrategyEuro Night Strategy is a time‑filtered, volatility‑aware system originally built for Euro FX futures. Still, your adaptation to XAL and BTC on 1h bars makes sense because both markets show overnight drift patterns that the strategy can exploit.
Uptrend Pullback (High Winrate-ish) - RSI + EMA + ATR TrailUptrend Pullback Strategy (EMA Filter + RSI Reversal + ATR Trailing Stop)
Description
This strategy is designed for rising markets and trades long only. It uses a simple trend filter and a pullback entry:
Trend filter: An uptrend is defined when EMA(50) > EMA(200) and price is above EMA(200). Trades are allowed only under these conditions.
Entry (buy the dip): A long position is opened when RSI crosses up above a user-defined pullback level (default 40), suggesting a pullback is ending and momentum is recovering.
Exits:
Take profit: Close the position when RSI reaches an overbought level (default 70).
Risk management: A dynamic ATR-based trailing stop follows price upward to lock in gains.
Hard stop: An additional ATR-based stop acts as a safety net to limit downside risk.
Notes
Parameters (EMA lengths, RSI levels, ATR multipliers) are fully configurable.
This is a demo/reference strategy for research and optimization; results depend strongly on the symbol and timeframe.
If you want, I can also write a shorter “one-liner” description and a set of tag keywords for the publish page.
SOFT Speed & Linearity Strategy (MTF) LIVE & BACKTESTSOFT Speed × Linearity Strategy (MTF – LIVE & BACKTEST)
This strategy detects clean impulsive moves by combining real-time price speed with directional quality (linearity).
It is designed for intraday markets such as Gold (XAUUSD), Nasdaq, and Crypto (ETH, BTC), where acceleration quality matters more than raw indicators.
🔹 Core Concepts
1️⃣ Speed ($ per second)
Measures how fast price is moving
Expressed in $/second, not points or ticks
Two execution modes:
LIVE → real-time intra-candle speed using elapsed seconds
BACKTEST → historical approximation using (Close − Open) / candle duration
2️⃣ Linearity Score (1 → 5)
Evaluates movement quality inside the candle:
Net progress vs adverse excursion
Identifies one-way impulses vs noisy back-and-forth moves
Interpretation
1–2 → choppy / rotational
3 → acceptable
4–5 → clean impulse (higher continuation probability)
🔹 Visual Panel
Histogram bars = Speed × Linearity
Color reflects directional quality
Optional info label displays:
Execution mode (LIVE / BACKTEST)
Analysis timeframe
Linearity score
Direction
Speed ($/s)
No drawings are placed on candles.
🔹 Entry Logic
Configurable conditions:
Minimum linearity score
Minimum speed
Direction aligned with candle movement
Long / Short / Both modes
Optional cooldown between signals
⚠️ Speed thresholds are separated for LIVE and BACKTEST to reflect their different nature.
🔹 Exit Modes (Selectable)
A — Symmetric
Exit when entry conditions are no longer valid.
B — Hysteresis (default)
Exit only after controlled degradation:
Linearity falls below a lower threshold
Or speed drops below a lower threshold
C — Momentum
Exit when speed no longer supports the trade direction (speed ≤ 0).
Optional add-ons:
Exit on opposite signal
Exit on speed channel re-entry
🔹 Multi-Timeframe (MTF)
Default analysis timeframe: 15 minutes
Optional lock to chart timeframe
Safety rule for public use:
If chart timeframe < 15m, analysis remains on 15m
Prevents misleading ultra-fast recalculations
🔹 LIVE vs BACKTEST (Important)
LIVE mode uses true intra-candle acceleration
BACKTEST mode uses an approximation to allow reproducible historical testing
Results between LIVE and BACKTEST are not identical by design
This is intentional and clearly separated.
🔹 Alerts
Available alerts:
BUY
SELL
EXIT
Speed channel breakout
ALL events
Compatible with TradingView webhooks.
🔹 Intended Use
This is not a trend indicator.
This is not a prediction tool.
It is a momentum quality detector, useful to:
Validate breakouts
Filter false accelerations
Trade continuation, not anticipation
⚠️ Disclaimer
This script is for educational and research purposes only.
It does not constitute financial advice.
Always test, adapt parameters to your market, and manage risk.
_mr_beach Liquidity Sweep + VWAP V2 Trend Filter, Presets_mr_beach Liquidity Sweep + VWAP Reversal V2 (Trend Filter, Presets)
Overview
This strategy models a common institutional market behavior:
Liquidity is taken above the previous day’s high or below the previous day’s low, followed by a return toward fair value (VWAP) and a reversal in the direction of the dominant trend.
The script is designed as a TradingView Strategy for systematic backtesting and optimization.
________________________________________
Core Logic
• Liquidity Levels
o Previous Day High
o Previous Day Low
Used as typical stop-liquidity zones.
• Fair Value
o VWAP is used as confirmation that price has returned to a fair value area.
• Trend Filter
o EMA-based trend direction filter to avoid counter-trend trades.
________________________________________
Trading Rules
Trend Filter
• Long trades only when price closes above EMA.
• Short trades only when price closes below EMA.
Liquidity Sweep
• Bullish sweep: Price trades below Previous Day Low.
• Bearish sweep: Price trades above Previous Day High.
Entry Confirmation
• Long
o Sweep below Previous Day Low
o Close back above Previous Day Low
o Close above VWAP
• Short
o Sweep above Previous Day High
o Close back below Previous Day High
o Close below VWAP
________________________________________
Risk Management
• Stop Loss: ATR-based
• Take Profit: ATR-based
• Risk automatically adapts to market volatility.
• All multipliers are user-adjustable.
________________________________________
Preset Profiles
The script includes ready-to-use preset profiles:
• Index – conservative, session-based, one trade per day
• Forex – session-filtered, moderate volatility settings
• Crypto – higher volatility parameters, no session filter
• Custom – fully manual configuration
Presets control EMA length, ATR settings, SL/TP multipliers, session usage, and trade frequency.
________________________________________
Session & Trade Control
• Optional session filter (default: US regular session)
• Optional one trade per day limit to reduce overtrading and noise
________________________________________
Chart Elements
• EMA (trend direction)
• VWAP (fair value)
• Previous Day High / Low (liquidity zones)
________________________________________
Alerts
• Long setup: Liquidity sweep + VWAP reversal
• Short setup: Liquidity sweep + VWAP reversal
________________________________________
Recommended Usage
• Markets: Indices, liquid stocks, Forex majors, crypto
• Timeframes: 5m and 15m
• Parameters should be optimized per market and timeframe.
________________________________________
Disclaimer
This script is for educational and backtesting purposes only.
It does not constitute financial advice.
Performance depends on market conditions, timeframe, fees, and execution.
Tags: Liquidity, VWAP, EMA, Reversal, Sweep, Smart Money, ICT, ATR, Strategy
_mr_beach Liquidity Sweep + VWAP ReversalLiquidity Sweep + VWAP Reversal (Trend Filter, Session, 1 Trade per Day)
Overview
This strategy models a common institutional market behavior: liquidity is taken above the previous day’s high or below the previous day’s low, followed by a return toward fair value (VWAP) and a reversal in the direction of the prevailing trend.
Designed as a TradingView strategy for structured backtesting in the Strategy Tester.
Core Components
Liquidity Levels: Previous Day High / Previous Day Low
Fair Value Reference: VWAP
Trend Filter: EMA (default: 200)
Volatility-Based Risk: ATR
Trading Rules
Trend Filter
Long only when price closes above EMA
Short only when price closes below EMA
Liquidity Sweep
Bullish sweep: Low < Previous Day Low
Bearish sweep: High > Previous Day High
Entry Confirmation
Long: After a sweep below the Previous Day Low, price closes back above the level and above VWAP
Short: After a sweep above the Previous Day High, price closes back below the level and below VWAP
Risk Management
Stop Loss: ATR-based (slATR)
Take Profit: ATR-based (tpATR)
Automatically adapts to changing market volatility
Session & Trade Frequency
Optional session filter (default: 09:30–16:00 exchange time)
Optional one trade per day limit to reduce overtrading
Chart Elements
EMA (trend direction)
VWAP (fair value)
Previous Day High / Low (liquidity zones)
Alerts
Long setup: Liquidity sweep + VWAP reversal
Short setup: Liquidity sweep + VWAP reversal
Recommended Usage
Markets: Indices, liquid stocks, Forex majors, crypto
Timeframes: 5m, 15m
Note: Parameters such as ATR multipliers and session settings should be optimized per market
Disclaimer
This is a backtesting strategy, not financial advice.
Results depend on market conditions, timeframe, fees, and slippage.
Tags: Liquidity, VWAP, EMA, Reversal, Sweep, Smart Money, ICT, ATR, Strategy
Daily & Intraday Trend Alignment Strategy (KOSPI)This strategy is designed for the KOSPI market, focusing on the synergy between daily price action and intraday momentum. It is specifically backtested on KODEX 200 Leverage (122630) with a realistic capital of 10,000,000 KRW.
Key Logic:
Trend Alignment: The script identifies the daily trend by comparing the current price with the previous day's close.
Execution: It enters a position only when the intraday candle (15M or 60M) aligns with the daily trend.
LONG: Daily Bullish + Intraday Bullish Close.
SHORT: Daily Bearish + Intraday Bearish Close.
Risk Management: - Follows TradingView House Rules by limiting risk to 10% of equity per trade.
Includes realistic 0.04% commission and 2-tick slippage.
Features built-in Stop Loss and Take Profit levels.
Intraday Focus: Automatically closes all positions at 14:50 KST to avoid overnight market gaps.
Kill Zone Intraday Momentum Strategy"Re-published in full compliance with TradingView House Rules, featuring realistic risk management and backtesting parameters."
This script is an intraday trend-following strategy optimized for the KOSPI market, specifically tested on KODEX 200 Leverage (122630). It utilizes the "Kill Zone" concept to determine the market's directional bias for the day.
### Strategy Logic
The strategy focuses on the first hour of the Korean market opening (09:00 - 10:00 KST).
Directional Identification: The script analyzes the 1-hour candle formed between 09:00 and 10:00.
If the candle is Bullish (Close > Open), it establishes a LONG bias.
If the candle is Bearish (Close < Open), it establishes a SHORT bias.
Entry Timing: At exactly 10:00 AM, the strategy executes an entry based on the identified bias. Users can toggle between the 1H Close or the 15M Close for the entry price.
Exit Strategy (EOD): To mitigate overnight gap risks, all positions are forcibly closed at a user-defined "End of Day" hour (Default: 15:00 KST).
### Realistic Backtesting Parameters
To provide transparent and non-misleading results, this strategy adheres to strict risk management:
Initial Capital: 10,000,000 KRW
Risk Per Trade: 10% of total equity (Sustainable risk management).
Cost Simulation: Includes a 0.04% commission and 2 ticks of slippage to reflect actual exchange conditions.
Tested Symbol: Optimized for 122630 (KODEX 200 Leverage) on a 15-minute timeframe.
### How to Use
Set your chart timezone to Asia/Seoul.
Apply the script to a lower timeframe (e.g., 15 minutes) to see the Kill Zone highlights and labels.
Use the Dashboard on the top right to monitor real-time statistics like Win Rate and Net Profit.
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본 스크립트는 KOSPI 시장의 개장 초기 변동성(Kill Zone)을 활용한 일중 추세 추종 전략입니다. KODEX 200 레버리지(122630) 종목에서 자본금 1,000만 원을 기준으로 최적화되었습니다.
9시부터 10시까지의 1시간봉 방향성을 바탕으로 당일의 매수/매도 우위를 판단하며, 장 마감 시점에 모든 포지션을 정리하여 오버나잇 리스크를 배제합니다. 하우스 룰 준수를 위해 자산의 10%만을 진입 수량으로 설정하고 수수료와 슬리피지를 반영하여 현실적인 백테스트 결과를 제공합니다.
Bulkowski Breakout vPRO (5m) - Runtime FixedHere is the English translation of your strategy guide, tailored for international traders while maintaining your encouraging tone.Strategy Guide: Bulkowski Breakout vPROFor Aspiring "Golden Traders"This strategy is designed for beginners to trade with the "flow of power." In short, it is a momentum-following strategy that enters a trade when a strong price move (Long Body Candle + High Volume) breaks through a key psychological level (200 EMA).1. Core Concept: "The High-Energy Breakout"Based on the principles of Thomas Bulkowski, a legendary master of chart patterns, this strategy prioritizes high-energy moves over simple price touches. A signal (LONG or SHORT) is only generated when these three conditions align:200 EMA Break (The Baseline): The 200-period Exponential Moving Average is the "life-line" of the market. Price breaking above this line indicates a powerful shift from a bearish to a bullish trend.Long Body Candle (Volatility): The candle body must be at least 2x larger than the recent average. This serves as evidence of institutional or "whale" buying/selling.Volume Surge (Reliability): Trading volume at the moment of breakout must be 1.5x higher than the recent average. This confirms the move is genuine and not a "fake-out."2. Session Filter (Optimized for Peak Volatility)To avoid "choppy" sideways markets, this strategy only operates during the first two hours of the major global market opens, when liquidity is at its highest.MarketTime (KST / UTC+9)Market CharacteristicsAsia Session09:00 ~ 11:00Opening of Korean, Japanese, and Chinese markets.Europe Session16:00 ~ 18:00Volatility spikes as the London market opens.US Session22:00 ~ 24:00Peak global liquidity as New York opens.Signals only appear when the chart background is shaded blue. All other times are "resting periods" to protect your capital.3. Execution GuideEntryLONG (Buy): Enter when a large green candle breaks above the yellow 200 EMA with high volume. (Green triangle label appears).SHORT (Sell): Enter when a large red candle breaks below the yellow 200 EMA with high volume. (Red triangle label appears).Take Profit (TP) & Stop Loss (SL)Lines are automatically drawn on your chart once you enter:Orange Line (Stop Loss): Automatically set at the low (or high) of the last 3 candles. If the price touches this, the trade closes to prevent further loss.Green Line (Take Profit): Automatically set at 1.5x your risk. This ensures a healthy 1:1.5 Risk-to-Reward ratio.4. Pro-Tips for BeginnersOptimized for 5m: This strategy works best on the 5-minute (5m) timeframe. 1m is often too noisy, and 15m can be too slow for scalping.Watch Bitcoin: Even if an altcoin gives a LONG signal, be cautious if Bitcoin is currently crashing. BTC dictates the overall market direction.Adjusting Sensitivity: If signals are too rare, go to "Settings" and lower the Long Body Multiplier from 2.0 to 1.5.This indicator is built to help you trade based on statistical advantages, not emotions. We strongly recommend practicing with Paper Trading first to get a feel for the signals.To everyone dreaming of becoming a Golden Trader—Success is a marathon, not a sprint!
Mean Reversion Mirror📌 Mean Reversion Mirror — Multi‑Level Mean Reversion Strategy
Mean Reversion Mirror is an advanced modular mean‑reversion strategy built around dynamic and static deviation levels from a moving average.
The strategy automatically scales into positions across six levels (LONG and SHORT), using both dynamic MA‑based deviation levels and static levels that lock in after entry.
🔍 Core Concept
Price tends to revert toward its mean.
This strategy exploits that behavior by opening an initial base entry at the first deviation and adding positions as the imbalance grows.
Each additional level improves the average entry price and increases the probability of exiting profitably.
⚙️ Key Features
📈 Six Dynamic Deviation Levels
Levels are calculated as percentage deviations from a selected MA (WMA, SMA, EMA, RMA, HMA).
This makes the strategy adaptive to volatility and market structure.
📉 Six Static Levels
Once triggered, each level becomes fixed and no longer changes.
This creates a stable averaging grid independent of future MA movement.
🎯 Flexible Take‑Profit System
fixed take‑profit
or trailing take‑profit with dynamic offset
🖐 Manual Entry Support
You can manually set a price for LONG or SHORT, and the strategy will execute the base entry automatically.
📊 Rich Visualization
dynamic deviation levels
static levels
dotted “last chance” levels
average position price
take‑profit line
compact mini‑table with key position metrics
📦 Two Operating Modes
STK Mode — fixed unit size
Classic Mode — quantity calculated from USD value
🧠 Entry Logic
The strategy uses sequences B1–B6 (LONG) and S1–S6 (SHORT):
B1/S1 — base entry
B2–B6 / S2–S6 — averaging entries as deviation increases
L6/S6 — “last chance” level with its own size
Each level activates only after the previous one.
📌 Who This Strategy Is For
mean‑reversion traders
grid/averaging system users
pullback‑based investors
traders who want clear visual levels
users who prefer manual control over entry points
⚠️ Disclaimer
This strategy is not financial advice.
Always backtest and adjust parameters according to your risk tolerance before using it in live markets.
MACD + EMA200 MTF - WEBHOOK FIXEDHi guys, works best with USDCHF
Default settings fit for me, you can tweak how much you want.
With default settings works well for 15min and 1min time-frame, for other time-frames, you need to tweak.
Trade Manager + MOST RSI📌 Trade Manager + MOST RSI — Adaptive Position Management Strategy
Overview
This strategy combines the MOST‑RSI trend‑reversal model with a fully customizable position management system.
It is designed for traders who want a flexible, visual, and systematic approach to scaling into positions, managing risk, and automating exits.
The script supports both automatic entries (based on MOST‑RSI signals) and manual entries (user‑defined price levels), making it suitable for hybrid discretionary + algorithmic trading.
✨ Key Features
MOST‑RSI Entry Logic
Adaptive RSI‑based trend detection
VAR‑smoothed moving average
Automatic LONG/SHORT signal generation
Configurable sensitivity through MOST Percent, MA Type, and RSI Length
Smart Position Management
Initial order + cascading Safety Orders (SO)
Adjustable deviation, step scaling, and volume scaling
Independent LONG and SHORT deviation settings
Breakeven after N safety orders
Automatic TP placement based on average entry price
Clean Visual Structure
TP lines visible only when a position is open
NEXT SO level with dynamic labeling
Average price line with subtle styling
Transparent background zones for TP, SO, and AVG
Real‑time mini‑table showing position metrics
Manual Entry Mode
Set custom LONG/SHORT entry levels
Automatic line drawing
One‑click reset
Perfect for discretionary setups
📊 Recommended Timeframes
1H — balanced
4H — conservative
MOST‑RSI adapts well across different market conditions.
🔧 Optimization Recommendations
1. Deviation (%)
Trending markets: 4–7%
Ranging markets: 2–3%
Optimize LONG and SHORT separately
2. Safety Order Volume Scale
Typical range: 1.3–1.6
Higher = faster averaging, higher risk
3. Safety Order Step Scale
1.4–1.7 for safer spacing
1.1–1.3 for tighter spacing
4. Take‑Profit
Volatile assets: 2–5%
Stable assets: 1.5–2%
5. Risk Management
Max SO: 5–10 depending on volatility
More SO = safer but more capital required
6. MOST‑RSI Parameters
RSI Length: 14
MA Length: 5
MOST Percent: 7–12%
7. Backtesting
Use at least 1 year of data
Include high‑volatility periods
8. Drawdown Control
If drawdown is too high:
Lower SO volume scale
Reduce max SO
Increase SO step scale
📌 Disclaimer
This script does not guarantee profits and is not financial advice.
Always test strategies on historical data and use proper risk management.
Uptrick: Price Memory Trend StrategyHere are clear, structured notes explaining the Pine Script code — the simplified "LSTM-like" trend predictor you were given earlier.
Overall Purpose of the Script
The script tries to imitate LSTM memory behavior (long-term memory + selective forgetting/updating) using only Pine Script's basic math and variables — because real LSTM neural networks (with matrices, multiple gates, backpropagation) are not possible in Pine.
It creates a persistent memory line that:
slowly forgets old information,
selectively accepts new price information,
tries to act as a trend-following / regime-detecting centerline.
Then it uses momentum of this memory line + deviation size to decide whether the market is in an uptrend or downtrend.
Key Sections Explained
1. Inputs (tunable parameters)
pinescriptmemoryStrength = input.float(0.14, "Forget Gate strength (like 1-f)", step=0.01, minval=0.01, maxval=0.99)
inputGate = input.float(0.22, "Input Gate strength", step=0.01, minval=0.01, maxval=1.0)
cellDecay = input.float(0.965, "Cell state decay", step=0.001, minval=0.8, maxval=0.999)
lookback = input.int(21, "Lookback for momentum", minval=5)
sensitivity = input.float(1.35, "Trend sensitivity multiplier", step=0.05)
ParameterWhat it controlsTypical effectHigher value means…memoryStrengthHow aggressively old memory is forgottenControls "forget gate" strengthForgets faster, more responsiveinputGateHow much new price is allowed into memoryControls how much price influences cellMemory follows price more closelycellDecayNatural fading of long-term memory per barPrevents memory from living foreverLower = memory fades fasterlookbackPeriod for momentum and deviation calculationSmoothness of trend detectionLonger = smoother, fewer signalssensitivityHow strong momentum must be to flip trendFinal trigger strictnessHigher = fewer but stronger signals
2. Memory Variables (the "LSTM core")
pinescriptvar float cell = na // long-term memory ≈ cell state C
var float hidden = na // short-term state ≈ hidden state h
if bar_index == 0
cell := price
hidden := price
cell → tries to act like LSTM cell state (long memory)
hidden → tries to act like LSTM hidden state (what we actually observe/use)
3. Simplified Gates
pinescriptforget = math.tanh(hidden * memoryStrength)
i_gate = math.tanh(price * inputGate)
candidate = price - hidden
forget — value between -1 and +1, but we treat higher positive = forget more
i_gate — how much new info we want to accept
candidate — the new information we could add (difference from current hidden)
Very crude approximation — real LSTM uses sigmoid + learned weights.
4. Core LSTM-like Update Rule
pinescriptcell := cell * (1 - forget) + candidate * i_gate
cell := cell * cellDecay
hidden := cell * 0.65 + price * 0.35
This is the heart of the "fake LSTM":
Keep (1 – forget) of old cell
Add a portion (i_gate) of the candidate change
Apply slow exponential decay (cellDecay < 1)
Hidden state = mix between long memory and current price
→ base = hidden becomes our smoothed, memory-aware centerline.
5. Trend Detection Logic
pinescriptmom = ta.change(base, lookback) // how much did memory move in last N bars?
dev = math.abs(price - base) // how far is price from memory center?
avgDev = ta.ema(dev, lookback * 2) // smoothed deviation size
trendScore = (mom / avgDev) * sensitivity // normalized momentum × sensitivity
Normalizes momentum by current volatility/deviation
High positive → strong upward memory movement → likely uptrend
High negative → strong downward memory movement → likely downtrend
6. Trend State Machine (non-repainting flip)
pinescriptvar int trend = 0 // 1 = Up, -1 = Down, 0 = Neutral
bullCondition = trendScore > 1.0 and trendScore <= 1.0
bearCondition = trendScore < -1.0 and trendScore >= -1.0
if bullCondition
trend := 1
else if bearCondition
trend := -1
else
trend := nz(trend )
Only changes trend when crossing the threshold from the other side
Prevents flickering / frequent flipping
Persistent until strong opposite signal appears
7. Visualization Summary
Background tint (light green/red)
Thick memory line (changes color with trend)
Dashed ±1.6× deviation bands
Big up/down labels on trend flips
Alert conditions on every new trend direction
Quick Tuning Guide
GoalSuggestionFewer but stronger signals↑ sensitivity (1.6–2.2), ↑ lookback (30–60)More responsive / earlier entries↑ inputGate, ↓ cellDecay, ↓ memoryStrengthSmoother memory line↓ inputGate, ↑ cellDecay (0.98+)Better in choppy markets↑ lookback, ↑ sensitivityBetter in trending markets↓ lookback, moderate sensitivity (~1.2–1.5)
Most Important Takeaway
This is not a real LSTM — it's a hand-crafted, analog-style memory filter inspired by LSTM ideas.
It tries to combine:
slow-adapting memory (like EMA but with forgetting control)
selective update depending on current deviation
momentum-of-memory as trend strength
Many traders find this kind of memory line more "intelligent" than simple moving averages when tuning the forget/input/decay parameters to match the market personality.
London Breakout Optimized PFBest Practices:
Only take trades in trend and above/below VWAP
Avoid trading in low-volume or sideways markets
Use it for intraday 5-min charts (15-min for trend confirmation)
Track trades in a Trading Journal → improves discipline
Entry Rules:
Long (Buy):
Price above EMA21 & VWAP → bullish trend
EMA slope positive → strong trend confirmation
Pullback to entry zone OR breakout above resistance
Volume above 1.3× average → avoids weak moves
Short (Sell):
Price below EMA21 & VWAP → bearish trend
EMA slope negative → strong downtrend
Pullback to entry zone OR breakout below support
Volume above 1.3× average
Exit Rules:
Stop-Loss: ATR-based, dynamic (tight for fewer losses)
Take Profit: Risk × 3 (3:1 R:R)
Automatically handled by the strategy (strategy.exit)
Trade Manager + DivergenceTrade Manager + Divergence — Smart Entry & Automated Risk Control
Trade Manager + Divergence is a versatile trading strategy that combines automated RSI divergence detection, manual level entries, and a multi‑layered safety‑order system with advanced risk management.
It is designed for traders who want precise technical entries supported by fully automated position handling.
🔍 Key Features
1. RSI Divergence Entry Module
The strategy automatically detects:
Bullish divergence (Higher Low on RSI + Lower Low on price)
Bearish divergence (Lower High on RSI + Higher High on price)
Additional options include:
Divergence strength filtering
MA200 trend filter
Visual divergence markers on the chart
2. Manual Entry Levels
You can define:
A manual LONG entry price
A manual SHORT entry price
Automatic removal of the level after entry
Perfect for traders who prefer to work from key zones they identify themselves.
3. Multi‑Level Safety Order System
The strategy supports:
Initial base order
Up to 8 safety orders
Volume scaling
Step scaling
All parameters are fully customizable:
Order size
Distance between orders
Scaling coefficients
Maximum number of safety orders
4. Automated Take Profit
Take profit is calculated from the average position price:
Separate TP settings for LONG and SHORT
TP levels displayed directly on the chart
5. Breakeven Mechanism
After a specified number of safety orders, the strategy can:
Automatically close the position at breakeven
Include exchange fees in the calculation
6. Mini Status Panel
A compact table in the top‑right corner shows:
Position size
Position value
Number of open trades
Current PnL
Equity
This makes monitoring your position simple and intuitive.
⚙️ Clean and Organized Settings
All inputs are grouped into clear sections:
General
Entry Mode
Divergence Settings
Manual Levels
Risk Management
Each parameter includes a tooltip explaining its purpose.
📌 Disclaimer
This script does not guarantee profits and is not financial advice.
Always test strategies on historical data and use proper risk management.
ATR# ATR Trailing Stop Multi-Strategy v7 with Pivot & GST
## Overview
A comprehensive multi-indicator trading strategy that combines multiple technical analysis approaches with sophisticated risk management. The strategy uses a confirmation-based system where trades are executed only when multiple indicators agree on the direction.
## Core Strategy Logic
### Signal Confirmation System
- **Entry Condition**: Requires at least 3 confirmation points from different indicators
- **Weighted Indicators**:
- Dow Theory (Weight: 2 points)
- ATR Trailing Stop (Weight: 2 points)
- Gaussian Smooth Trend (Weight: 1 point)
- KAMA (Weight: 1 point)
- VWMA (Weight: 1 point)
- Alligator (Weight: 1 point)
### Exit Conditions
- **Profit Exit**: When opposite signals achieve 3+ confirmation points
- **Stop Loss**: Fixed percentage stop loss (configurable)
- **Filter-Based Exit**: Signals from individual indicators when filters are violated
## Technical Indicators
### 1. Dow Theory Filter
- Analyzes volume and volatility conditions
- Uses SMA 20/50 crossovers for trend direction
- Volume must exceed MA by threshold (default: 1.5x)
- NATR must exceed threshold (default: 1.0%)
### 2. ATR Trailing Stop System
- Three ATR-based trailing lines (Fast/Medium/Slow)
- Fast: ATR(5) × 0.5 multiplier
- Medium: ATR(10) × 1.5 multiplier
- Slow: ATR(20) × 3.0 multiplier
- State changes when medium line crosses slow line
### 3. Gaussian Smooth Trend (GST)
- Advanced smoothing using DEMA, Gaussian filter, and SMMA
- Includes standard deviation bands for volatility filtering
- Multiple color schemes available for visualization
### 4. KAMA (Kaufman Adaptive Moving Average)
- Two KAMA lines with different lengths (10, 24)
- Adaptive smoothing based on market volatility
- Signals generated on crossovers
### 5. VWMA (Volume Weighted Moving Average)
- Price weighted by volume
- Signals on price crossing VWMA
### 6. Alligator Indicator
- Three SMMA lines (Jaw/Teeth/Lips)
- Standard Williams Alligator settings
- Signals based on line alignment and price position
## Entry Block Filters
### ADX Filter (Optional)
- Filters trades based on trend strength
- Configurable min/max values for long and short positions
- Default: ADX between 15-60
### RSI Filter (Optional)
- Additional RSI-based filtering
- Separate ranges for long and short positions
- Default Long: RSI 20-70, Short: RSI 30-80
### NATR Filter (Optional)
- Filters based on normalized ATR
- Ensures minimum volatility for valid signals
- Default Long/Short: NATR 0.5-5.0%
## Additional Filters
### CCI Filter
- Filters signals based on CCI momentum
- Oversold condition for longs: CCI > -100 and rising
- Overbought condition for shorts: CCI < 100 and falling
### Volatility Filter
- Minimum ATR percentage requirement
- Default: 0.3% minimum ATR/price ratio
### Distance Filter
- Minimum distance from Alligator lips in pips
- Ensures sufficient movement before entry
- Default: 10 pips minimum
## Pivot Points Support
- Multiple pivot point calculation methods:
- Traditional
- Fibonacci
- Woodie
- Classic
- DM
- Camarilla
- Multiple timeframe support (Daily, Weekly, Monthly, etc.)
- Visual display of pivot levels and labels
## Risk Management
### Stop Loss
- Configurable percentage-based stop loss
- Default: 2.5%
- Applied immediately on entry
### Position Management
- Single position only (no pyramiding)
- Position tracking with P/L calculation
- Visual exit lines for individual indicator signals
## Visual Features
### Signal Display
- Colored arrows for each indicator signal
- Entry/Exit labels with price information
- Horizontal exit lines for visual confirmation
- All indicators can be toggled on/off
### Color Schemes
- GST with multiple color modes
- Customizable pivot point colors
- Consistent color coding across indicators
## Alerts
- Entry alerts for both long and short positions
- Exit alerts for both profit and stop loss exits
- Individual indicator alerts available
## Settings Overview
### Strategy Settings
- Dow Theory thresholds (Volume, NATR)
- Stop loss percentage
- ATR Trailing parameters
- Indicator toggles and weights
### Filter Settings
- Entry block filters (ADX, RSI, NATR)
- CCI parameters
- Volatility and distance filters
### Visual Settings
- Show/hide indicators
- Arrow and label display
- Color scheme selection
### Pivot Settings
- Calculation method
- Timeframe
- Level colors and visibility
## Usage Recommendations
### Timeframes
- Works on all timeframes
- Pivot points automatically adjust to timeframe
- Recommended: 15-minutes and above
### Market Conditions
- Best in trending markets
- Multiple filters help avoid choppy conditions
- Volume confirmation adds reliability
### Customization
- Adjust confirmation thresholds for more/less aggressive trading
- Modify filters based on market volatility
- Fine-tune stop loss based on risk tolerance
## Performance Notes
- Strategy uses close prices for order execution
- Maximum 500 labels to prevent chart clutter
- All calculations in real-time
- Historical backtesting supported
## Important Notes
- Past performance doesn't guarantee future results
- Test thoroughly before live trading
- Adjust parameters for specific instruments
- Consider commission and slippage in backtesting
Robert Miner DTOsc MTF - v6Below is the implementation of the MTF Momentum (DTOsc) with Miner's specific Buy Stop / Sell Stop entry logic. This ensures you only enter when the market breaks the high/low of the signal bar, confirming the reversal.
