MTF Scalper - alemicihanMulti-Timeframe Scalper Strategy: Aligning the Big Picture for Quick Gains
This article presents a robust futures trading strategy designed for high-frequency scalping in the crypto market. It’s built on the principle of minimizing risk by ensuring that short-term entries are always aligned with the dominant, higher-timeframe trend.
The Core Concept: Alignment is Key
A Balanced Trend Follower approach, now refined for rapid scalping, uses a Multi-Timeframe (MTF) confirmation system to filter out market noise and increase the probability of a successful trade.
The strategy operates on a Low Timeframe (LTF) chart (e.g., 3m, 5m, or 15m) but only executes trades if the direction is validated by three Higher Timeframes (HTF).
ComponentPurposeFunctionHTF (D, 4h, 1h) EMA => Trend Confirmation =>Checks if the current price is above/below all three Exponential Moving Averages (EMA 20). This provides a strong directional bias.
LTF (5m) Stochastic RSI => Momentum Entry => Generates the actual buy/sell signal by spotting a swift crossover, indicating fresh momentum in the direction of the confirmed HTF trend.
How The Signal Is Generated
Trend Alignment: The system first confirms the trend. If the price is trading above the Daily, 4-Hour, and 1-Hour EMAs, the market is deemed to be in a Strong LONG Trend. Only LONG signals are permitted.
Momentum Trigger: Once the trend is confirmed, a Long Signal is generated only when the Stochastic K-Line crosses above the D-Line, indicating a momentum shift (a pullback ending) towards the main trend direction.
Short Signal: The inverse logic applies to the Short Trend confirmation and entry signal.
Mandatory Risk Management: ATR-Based Exit
Given the high leverage nature of futures and scalping, static Stop-Loss (SL) and Take-Profit (TP) levels are inefficient. This strategy uses the Average True Range (ATR) indicator to dynamically set profit and loss targets based on current market volatility.
Stop Loss (SL): Set dynamically at 1.5 x ATR below (for long) or above (for short) the entry price. This gives the trade enough room to breathe without risking excessive capital.
Take Profit (TP): Set dynamically at 3.0 x ATR, establishing a robust Risk-to-Reward Ratio of 1:2.
Final Thoughts on Testing
This sophisticated approach combines the reliability of MTF analysis with the speed of momentum indicators. However, data analysis is key. Backtesting these parameters (EMA, ATR Multipliers, RSI/Stochastic lengths) on your chosen asset (like BTC/USDT or ETH/USDT) and timeframe is crucial to achieving optimal performance.
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Hull VWMA Crossover StrategyA simple variation on the Hull Moving Average which reacts faster to high volume events, making it more responsive in those cases than even the standard Hull average -- CREDIT GOES TO Saolof - -- Edited into a strategy with some more options that im going to continue to refine. LMK if theres any features or confluence you want me to add -- cheers!
BTC Risk Metric DCA Adapter (3Commas Webhook Strategy)Risk Metric DCA Adapter (3Commas Webhook Strategy) - WORK IN PROGRESS
This Pine Script strategy, originally inspired by the Risk Metric Indicator, is fundamentally engineered as an Adapter to interface with external trading bots like 3Commas via Webhooks. It calculates a dynamic market risk score and translates that score into specific dollar-cost averaging (DCA) entry levels and tiered profit-taking exits.
Key Features & Logic
Risk Metric Calculation (Credit to The Trading Parrot):
The strategy incorporates a complex, multi-timeframe Risk Metric calculation based on daily and weekly moving averages (SMA) and standard deviation (StDev). This metric aims to quantify the current market overextension or compression relative to long-term historical data. The resulting score dictates the level of conviction for a new trade.
Tiered DCA Entry Sizing:
The strategy defines three distinct Buy Levels (L1, L2, L3) corresponding to increasingly favorable (lower) Risk Metric scores.
L1 (Base): Risk is moderate, initiating the minimum defined trade amount.
L2 (Scaled): Risk is low, initiating L1 amount + L2 amount.
L3 (Aggressive): Risk is very low, initiating L1 + L2 + L3 amounts.
Tiered Profit-Taking Exits:
The strategy implements a staggered, partial profit-taking approach based on the Risk Metric rising:
Sell L1 & L2: Closes a percentage of the current position when the Risk Metric reaches defined high thresholds, locking in partial profits.
Sell L3 (Full Exit): Closes the remaining position when the Risk Metric reaches the highest defined threshold.
The Adapter Function (Webhook Integration)
This script is unique because it uses the Pine Script strategy() function to trigger Order Fills, which are necessary to access powerful placeholders in the TradingView alert system.
Trigger Type: The alert must be set to trigger on Any order fill.
Dynamic Webhook Data: Instead of using fixed alert() commands, the strategy generates dynamic labels (e.g., BUY_ENTRY_L3_USD_1000 or SELL_L1_PCT_25) using the strategy.entry and strategy.close commands.
Data Transfer: The alert message then uses the placeholder {{strategy.order.comment}} to pass these dynamic labels to the 3Commas bot, allowing the bot to execute the precise action (e.g., start_deal_with_volume_in_quote_currency or close_deal_at_market_percentage).
Full Strategy Webhook payload
{
"secret": "YOUR_3COMMAS_SECRET_KEY",
"max_lag": "300",
"timestamp": "{{timenow}}",
"trigger_price": "{{close}}",
"tv_exchange": "{{exchange}}",
"tv_instrument": "{{ticker}}",
"action": "{{strategy.order.action}}",
"bot_uuid": "YOUR_BOT_UUID",
"strategy_info": {
"market_position": "{{strategy.market_position}}",
"market_position_size": "{{strategy.market_position_size}}",
"prev_market_position": "{{strategy.prev_market_position}}",
"prev_market_position_size": "{{strategy.prev_market_position_size}}"
},
"order": {
"amount": "{{strategy.order.contracts}}",
"currency_type": "base",
"comment": "{{strategy.order.comment}}"
}
}
Disclaimer: This script is an adapter tool and does not guarantee profit. Trading requires manual configuration of risk settings, bot parameters, and adherence to platform-specific setup instructions.
CBS Strategy with Trailing Stop _ IK3-Candle High/Low Breakout Strategy – Clean, Powerful, Fully Customizable (Pine Script v6)
A simple yet effective momentum breakout strategy that triggers trades when price closes above the highest high or below the lowest low of the previous 3 completed candles.
Perfect for trending markets (stocks, forex, crypto, indices) on any timeframe.
Key Features:
• Pure price-action breakout logic (no repainting)
• Long & Short entries with visual triangle signals
• Built-in Stop Loss & Take Profit (fixed % or ATR-based)
• Optional Trailing Stop (percentage or ATR multiplier)
• All risk parameters fully adjustable from the settings panel
• Clean on-chart visualization of SL, TP, and active trailing stop levels
• Works on all instruments and timeframes
Default Settings (2:1 Reward/Risk):
• Stop Loss: 1.5%
• Take Profit: 3.0%
• Trailing Stop: 1.0% (optional)
How to Use:
1. Add to chart
2. Adjust risk settings to match your style (fixed % or ATR)
3. Enable/disable trailing stop as needed
4. Backtest and optimize per instrument/timeframe
Fully open-source • No external libraries • Pine Script v6
Great for swing trading, intraday breakouts, or as a base for further enhancements.
Happy trading!
Fibo Tarayıcı + Mirror + Bot
KEY FEATURES:
1. Fibonacci Levels: Plots 23.6%, 38.2%, 50%, 61.8%, 78.6%, 88.6%, 100%, 127.2%, 141.4%, 161.8% levels
2. Mirror Fibonacci: Shows reverse extensions of main levels
3. Auto Trading System: Executes automatic trades at specified Fibonacci levels
4. Multi-Symbol Scanner: Scans 120+ crypto and stock symbols
5. Visual Alerts: Colored background and labels when price approaches Fibonacci levels
HOW IT WORKS:
1. Finds swing high/low points over 144 bars
2. Calculates Fibonacci levels between these points
3. Generates buy/sell signals when price approaches these levels
4. User can select which levels to trade
5. Scanner shows Fibonacci signals across multiple symbols
Wavelet Alligator – Separate Entry/Exit Experts & Wavelets-V2
Wavelet Alligator – Strategy Explanation & How to Use
1. Concept Overview
The Wavelet Alligator strategy combines:
- Wavelet transforms (Daubechies, Haar, Symlet, Mexican Hat, Morlet)
- Fractional calculus kernels: Caputo-Fabrizio (CF) and Atangana-Baleanu (AB)
- Three-layer “alligator-like” wavelet smoothing (soft → medium → strong)
- Expert-based entry/exit routing (RAW, CF, AB, or Majority vote)
- Independent wavelets for ENTRY and EXIT
- Main trend defined by AB wavelet ordering
This creates a multi-structure, multi-kernel trend engine capable of capturing extended moves with high signal quality.
2. Wavelet Alligator Structure
Each source (RAW, CF, AB) is transformed into three wavelet layers:
Soft = fastest reaction
Medium = mid smoothing
Strong = trend backbone
Wavelets:
- Daubechies: stable trend
- Haar: fast impulse detection
- Symlet: balanced
- Mexican Hat: curvature and reversal detection
- Morlet: cyclic, oscillatory
3. Entry Logic
Long entry occurs when:
- AB wavelet shows bullish structure (soft > medium > strong, medium rising)
- Selected entry expert approves (RAW / CF / AB / Majority)
- Wavelet condition: soft > strong AND medium crosses above strong
4. Exit Logic
Exit is independent from entry:
- Controlled by chosen exit expert
- Wavelet reversal condition: soft < strong AND medium crosses below strong
- Forced exit when AB trend turns neutral or bearish
5. Background Color (Regime)
- Green: bullish AB regime
- Red: bearish AB regime
- Gray: neutral/transition
6. How to Use
Step 1 – Choose entry wavelet
Daubechies: stable trend
Haar: breakout scalping
Mexican Hat: early reversals
Symlet: balanced
Morlet: cyclic markets
Step 2 – Choose exit wavelet
Mexican Hat: best precision
Daubechies: smooth exits
Haar: aggressive exits
Step 3 – Select entry/exit experts
CF only – fast fractional trend
AB only – stable long-memory trend
RAW only – pure price structure
Majority – safest, noise-filtered
Step 4 – Run the strategy
Entries occur only during AB bullish trend.
Exits occur on wavelet reversal or AB trend failure.
7. Why This Strategy Works
It fuses:
- Fractional calculus (memory)
- Wavelets (shape/curvature)
- Alligator ordering (trend hierarchy)
Result: high-quality entries, strong trend holding, noise-resistant signals.
V15.0 Adaptive Chameleon [Pro]
# **V15.0 Adaptive Chameleon – Strategy Description**
**Adaptive Chameleon** is a fully automated TradingView strategy powered by a signal engine based on multi-timeframe trend analysis, adaptive moving averages, and a volatility filter. The goal is to trade in the direction of a strong and confirmed trend, avoid opening trades in weak or manipulative price zones, and establish positions with a clearly defined risk/reward ratio.
---
## **1. General Logic and Philosophy**
The strategy divides tasks between two timeframes:
* **4-Hour Chart → Trend Manager (Boss)**
Determines the direction and strength of the trend.
* **4-Minute Chart → Entry Trigger (Operating Unit)**
Generates the ideal entry signal in the direction of the trend.
Thanks to this structure, the strategy both follows the long-term main direction and finds clear entries with low lag on smaller timeframes.
---
## **2. Trend Detection (4H)**
The strategy uses **KAMA (Kaufman Adaptive Moving Average)** and **ADX** to identify trends on the higher timeframe.
### **KAMA – Adaptive Trend Line**
* The KAMA is much more "smart" than traditional moving averages.
* It accelerates during price movements and decelerates during sideways movements.
* This allows for much clearer detection of trend direction.
### **ADX – Trend Strength Meter**
The strategy only opens trades when **trend strength** is rising (above the ADX average).
This prevents unnecessary trades when the trend is weak.
### **Trend Rules**
* Price above the KAMA → **Uptrend**
* Price below the KAMA → **Downtrend**
* ADX widening → **Trend strong**
The entry trigger is activated when these three conditions are met together.
---
## **3. Entry Engine (45m)**
On the 45-minute timeframe, the system uses the following components:
### **AlphaTrend (MFI + ATR-Based Adaptive Line)**
* Measures market flow direction with MFI (Money Flow Index),
* Measures price level breakouts with ATR (Volatility).
AlphaTrend detects whether the price is likely to reverse upwards or downwards.
### **Entry Signal**
* **Buy signal:** If the AlphaTrend has reversed upwards based on recent bars
* **Sell signal:** If the AlphaTrend has broken downwards
### **Pivot Points (For Stop)**
* The **pivotLow** and **pivotHigh** levels of the last 10 bars are calculated.
* These are used to determine the most logical stop distance.
---
## **4. Protection Shields**
The strategy uses two main filters to protect against the most dangerous conditions in the crypto market:
### **1. Pump/Dump Filter**
* A candlestick length greater than 4% is considered a "pump bar."
* Never open a trade on these bars.
The goal: to avoid sudden manipulation candlesticks.
### **2. RSI Filter**
* Long trades: RSI > 45 (open long on weak momentum)
* Short trades: RSI < 55 (open short on extremely strong momentum)
These filters provide more balanced entries.
---
## **5. Final Entry Conditions**
### **All conditions are required simultaneously for long:**
1. 4H trend up
2. ADX trend strength increasing
3. 45m AlphaTrend issued a "buy" signal
4. RSI > 45
5. No candlestick pump
6. Date range is suitable
### **All conditions apply in the opposite direction for short.**
---
## **6. Exit Mechanism (Stop, TP, Trailing)**
The strategy uses a three-layer structure on the exit side:
### **1. Pivot-Based Stop**
* Stop distance = Entry price − Pivot Low (for long)
* Minimum stop distance = **1% of the price**
Provides both structural and mathematical security.
### **2. Fixed R:R (Default 1:2)**
* TP = Entry + Stop Distance × R:R
The default 2R target is ideal for trend systems.
### **3. Optional Trailing Stop**
* Dynamic trailing stop that follows the price by a certain percentage.
* Allows trend trades to yield greater profits.
---
## **7. Chart Displays**
* Purple line:** 4H WEDGE (main trend line)
* Yellow background:** Pump protection is active (trades will not be opened on that bar)
---
## **8. Practical Effect of the Strategy**
This system has an adaptive structure based on trend variations.
**Strengths:**
* Very high accuracy (76–80% in SOL and ETH tests)
* Low drawdown (approximately 6–7%)
* Safe entries thanks to pump/dump and extreme momentum filters
* Clearly defined stop and target structure
* Low noise thanks to multi-timeframe compatibility
**Weaknesses:**
* Performance may decrease in sideways markets without trends
* Overtrading may occur if the ADX filter is closed
* Very small stops can sometimes cause unnecessary triggers
---
## **9. Conclusion**
**Adaptive Chameleon** is a trend-based and highly stable strategy with well-established risk management, manipulation filtering, and entry into lower timeframes with clear trend direction detection and low-latency signals.
SOL and ETH demonstrated strong and balanced performance in backtests with metrics such as:
* **600+ trades**
* **30–37% profit**
* **76–80% win rate**
* **Low max drawdown**
HPAS mean reversion strategy testerTakes Krown HPAS values hardcoded and simulates longs and short with configurable standard deviation multiplier TP/SL. Best used on lower timeframes
Daily vs Intraday Candle Match Strategy고죠 훈의 차트공부방
Gojo Hoon’s Trading Room
전일 종가 대비 현재 일봉 방향과 시간봉 방향이 일치할 때 진입
Trade when current daily direction (vs. previous close) matches the hourly/15-minute candle direction.
Kill Zone Strategy - Exact Match고죠 훈의 차트공부방
Gojo Hoon’s Trading Room
Kill Zone 시간대 방향성과 일중 추세의 상관관계
The 9–10 AM Kill Zone candle on the KOSPI chart determines the day’s long or short trading direction.
EMA + RSI Forex StrategyHere is a complete and ready-to-use Pine Strategy Script v5 trading strategy. It’s designed for forex pairs and uses combination of EMA crossover and RSI confirmation to identify high-probability entries. The script includes backtesting capability and adjustable parameters for optimization.
RSI + 55 EMA + Volume (SL Marked, No Engulfing)This is to help entering in trades by considering 50 EMA and RSI indicators, Volume is used for confirmations
singularity crypto editionA trend following strategy that enters in a pullback of a trend . works greate on 3m to 15m timeframe. should be optimize on current market regime
ParabolicSAR+EMA[TS_Indie]🚀 EMA + Parabolic SAR Reversal Trading Strategy
This trading system effectively combines the use of Exponential Moving Averages (EMA) with the Parabolic SAR to identify both price trends and key reversal points. The EMA Fast is used to signal the primary short-term trend, while the EMA Slow acts as a filter for the long-term trend direction. The Parabolic SAR then helps to confirm the reversal signals.
🛠️ Tools Used
1. EMA Fast – Primary Short-Term Trend
2. EMA Slow – Long-Term Trend Filter
3. Parabolic SAR – Reversal Confirmation
🎯 Entry Rules
📈 Buy Setup
1. Trend Filter: EMA Fast > EMA Slow → Uptrend
2. Pullback: Price pulls back and closes below the EMA Fast line.
3. Reversal: Price reverses/pulls back up and closes above the EMA Fast line.
4. SAR Confirmation: The previous Parabolic SAR dot is above the high, and the dot in the current candle is below the low → Reversal signal confirmed.
5. Entry: Enter Buy immediately.
📉 Sell Setup
1. Trend Filter: EMA Fast < EMA Slow → Downtrend
2. Pullback: Price pulls back and closes above the EMA Fast line.
3. Reversal: Price reverses/pulls back down and closes below the EMA Fast line.
4. SAR Confirmation: The previous Parabolic SAR dot is below the low, and the dot in the current candle is above the high → Reversal signal confirmed.
5. Entry: Enter Sell immediately.
💰 Exit Management (Entry, Stop Loss, Take Profit)
1. Entry: Enter the order at the closing price of the signal candle.
2. Stop Loss (SL): Set the Stop Loss at the Parabolic SAR dot.
3. Take Profit (TP): Calculated from the Entry and Stop Loss points, multiplied by the Risk Reward Ratio.
⚙️ Optional Parameters
➭ Custom Risk/Reward Ratio for Take Profit.
➭ Option to add an ATR buffer to the Stop Loss.
➭ Adjustable EMA Fast period.
➭ Adjustable EMA Slow period.
➭ Adjustable Parabolic SAR parameters.
➭ Option to enable Long-only / Short-only positions.
➭ Customizable Backtest start and end date.
➭ Customizable trading session time.
🔔 Alert Function
Alerts display:
➭ Entry Price
➭ Stop Loss Price
➭ Take Profit Price
💡 This strategy allows for many parameter adjustments, such as the MA type, adding/subtracting from the Stop Loss using ATR, and selecting specific sessions for backtesting. If you find interesting or profitable results after adjusting the parameters, please share your comments with other traders!
⚠️ Disclaimer
This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk , including the potential loss of capital.
Dami's HMA Strategy"Dami's HMA Strategy: Dynamic Crossover with Momentum Filter"
Key Points to Include:
Foundation: The strategy is based on the Hull Moving Average (HMA), noted for its speed and reduced lag, making it ideal for identifying trend inflection points early.
Enhanced Logic: Unlike a simple moving average crossover, this strategy incorporates a momentum filter. A signal is only triggered if the HMA crossover coincides with a candle moving in the direction of the new trend (bullish candle for Long, bearish candle for Short). This aims to confirm the impulse and avoid false entries during consolidation periods or 'weak' crossovers.
100% Market Coverage System: It is a continuous reversal system. Every new signal (Long or Short) closes the opposite position, ensuring the trader is always positioned in the direction indicated by the HMA.
Complementary Visualization: It includes the 8-Period High/Low Bands (Dami's Bands) to provide visual context of the recent price range, although they do not affect trading orders.
Adjustment and Optimization: The HMA length (hma_len=9 by default) is the key parameter to optimize based on the specific pair and timeframe. Higher values will generate fewer signals and be slower, while lower values (like the current 9) make it more sensitive.
EMA Color Flip Strategy Experimenting on SOL 30 min chart, it seems good!
Let me know what you think!
Simple MA Crossover w/ SLTPPicture two cheetahs on a racetrack made of price candles. One cheetah is fast and twitchy (the short-term EMA). The other is chill, lumbering, and takes its sweet time (the long-term EMA). When the twitchy cheetah sprints ahead and crosses above the chill one → “BUY, YOU MAGNIFICENT DEGEN!” When the twitchy one gets tired, slows down, and gets lapped from above → “SELL before this turns into a horror movie!”
That, my friend, is the EMA crossover strategy in its purest, most dramatic form.
CCI Zero Line StrategyCCI Zero Line Strategy i have created this using cci just check in different time frame you and check the results
Trio Strategy w EMA Timing Gate, Early Flip, Clouds and Cross AlMomentum Trio Strategy w EMA Timing Gate, Early Flip, Clouds and Cross Alerts
Short title: Trio EMA Strategy
Concept and Originality
This strategy merges three momentum systems – StochRSI, RSI EMA, and MACD – into one coordinated Trio.
It triggers possible entries only (no exits) when all three align within user-defined windows, with an EMA timing gate for precision and an optional early flip feature if the EMA crosses first.
Optional cooldown and filters reduce false signals.
It also shows green and purple markers when all three momentum indicators cross together, and provides alert notifications on every individual and trio crossover event.
StochRSI-based clouds highlight overbought and oversold areas for quick visual context.
Each part has a defined role:
Trio alignment ensures multi-indicator confirmation.
EMA gate refines timing and enables early trend flips.
Cooldown reduces overtrading.
Filters check price, trend, and volume quality.
Clouds visualize momentum extremes.
Markers show where the Trio crosses.
Alerts notify on all key momentum events.
How It Works
Trio confirmation (core):
StochRSI – percent K and D cross within stochGroupWindow.
RSI – RSI crossing its EMA.
MACD – line crossing signal within macdGroupWindow.
When all three cross up, a green marker appears.
When all three cross down, a purple marker appears.
These mark potential entry points only. Exits are not included.
EMA timing gate:
EMA(5) and EMA(9) define short-term trend.
Longs: EMA(5) greater than EMA(9).
Shorts: EMA(5) less than EMA(9).
Early Flip: when EMA crosses before the trio, a one-time flip can trigger after the chosen cooldown.
Cooldown prevents multiple entries in choppy markets.
Filters include:
Price Filter – restricts entries relative to EMA.
Trend Filter – aligns trades with a longer EMA.
Volume Filter – checks for rising volume.
Overbought and Oversold Clouds:
Red cloud when StochRSI is greater or equal to 80 (overbought).
Green cloud when StochRSI is less or equal to 20 (oversold).
Clouds are for context only, not trade signals.
Alerts trigger on every Trio signal and each individual crossover for StochRSI, RSI, and MACD.
Inputs You Can Tune
RSI, StochRSI, and MACD periods and windows.
EMA gate lengths.
Early-flip toggle and cooldown.
Trio cooldowns.
Filters for price, trend, and volume.
Marker visibility (green and purple).
Overbought or oversold cloud display.
Alert toggles for all cross types.
How To Use
1. Apply to any liquid market such as stocks, crypto, or forex.
2. Choose timeframe.
3. Keep default settings first, then fine-tune windows or cooldowns.
4. Use clouds and markers for entry guidance only. Exits are manual or from another strategy.
5. Enable alerts for real-time notifications of indicator and Trio crosses.
Default Properties Used for Publication (Backtest Transparency)
Initial capital: 100,000 USD – necessary for stock testing so one percent sizing produces realistic order size.
Order size: one percent of equity per trade to keep risk small.
Commission: 0.10 percent per side, realistic for brokers and exchanges.
Slippage: 0.05 percent, equal to roughly one to two ticks on stocks.
Pyramiding: 0.
Execution: on close.
Sample dataset: at least 100 trades across multiple timeframes and markets.
The higher initial capital ensures valid fills for stock testing, while risk stays proportional since position size is percentage based.
Why These Components Work Together
Trio confluence confirms momentum alignment.
EMA gate refines entry timing and allows early reversals.
Cooldown and filters reduce false triggers.
Markers confirm when all three indicators cross together.
Clouds and alerts improve awareness and reaction speed.
The result is a robust entry-only framework that adapts to many markets.
Notes and Limitations
Focused on entry detection only. Exits are manual or external.
For educational use only, not financial advice.
Always test with realistic slippage, fees, and several symbols.
Past results do not guarantee future performance.
Attribution
All logic and structure are original to this publication.
Common Pine functions follow official Pine documentation.
Kev's RSI2 SMA50 Strategy⭐ Kev’s RSI2 SMA50 Strategy — Institutional Edition (TSX Optimized + RR Filter)
A professional swing-trading system based on Larry Connors’ RSI(2) mean-reversion framework, optimized for TSX equities. Designed for Daily timeframe trading with institutional trend alignment, volatility filtering, and strict risk-reward controls.
📌 Overview
This strategy enhances the classic RSI(2) setup with:
• Strong trend confirmation (SMA50 + Weekly SMA50)
• Deep pullback detection (RSI2 < 3)
• Structural swing-based stop-loss
• Fixed 2R profit target (non-repainting)
• Optional Connors RSI (CRSI) confirmation
• Volatility filtering via ATR range
• Mechanical, deterministic, no-discretion rules
Works best on TSX large & mid-caps, ETFs, and liquid equities.
🔍 Core Philosophy
Buy strong stocks on pullbacks → Price must be above SMA50 + Weekly SMA50.
Pullback must be statistically meaningful → RSI(2) < 3.
R:R must justify the trade → Swing-low SL + 2R target with structural room to hit TP.
🧠 Entry Conditions (Non-Repainting)
• RSI(2) < 3 → Identifies extreme short-term oversold dips.
• SMA50 Filter → Ensures uptrend alignment.
• Weekly HTF Filter (Default = 1W) → Confirms broader trend direction.
• ATR Filter → Rejects volatile bars (range < ATR(14) × 2.2).
• Optional:
– SMA50 Slope (positive trend strength)
– Bullish Reversal Candle
– Connors RSI < 20 (deep pullback confirmation)
🎯 Risk Management
All levels are locked at entry and never repaint.
• Swing-Low SL (last 5 bars)
• 2R Profit Target = Entry + (Risk × 2)
• R:R Feasibility Filter → Only enters if recent swing high is above TP.
• Optional RSI Exit → Exit when RSI2 > 90 (enabled by default).
• Optional SMA Exit (disabled by default) → Conservative early exit.
📈 Visuals
The script plots:
• SMA50
• Weekly SMA50
• Swing-Low SL (fixed)
• 2R TP (fixed)
• Optional SMA exit line
All are non-repainting and update only on confirmed bars.
🔔 Alerts
Buy Signal → All entry filters aligned (RSI2, SMA50, HTF, ATR, RR check).
Exit Signal → 2R hit, SL hit, RSI exit, or SMA exit (if enabled).
🧭 Recommended Usage
• Timeframe: Daily
• HTF: Weekly (default)
• Best For: TSX equities, mid/large-cap stocks, ETFs
• Style: Short-term swing trading (1–10 bars)
• Avoid: Low-volume tickers, microcaps, crypto, biotech, news-driven spikes.
🛑 Notes
• All HTF data uses lookahead_off → non-repainting.
• Rules are fully mechanical and deterministic.
• Position sizing uses % equity by default.
• This script is for educational purposes only and not financial advice.
• Always forward-test before using live capital.
