PKS INDIA RSI + VWAP Multi TF Strategy (Backtest)🔥 Strategy Logic
Indicator दो Timeframes पर Market Strength चेक करता है:
SELL Condition
RSI (1 Hour) < 50
RSI (15 Minute) < 50
Price VWAP के नीचे हो
Price VWAP के पास आए (Pullback)
Bearish Confirmation Candle बने
BUY Condition
RSI (1 Hour) > 50
RSI (15 Minute) > 50
Price VWAP के ऊपर हो
Price VWAP के पास आए (Pullback)
Bullish Confirmation Candle बने
इससे Indicator केवल वही Signals देता है जहाँ Market में Clear Direction + Strong Momentum + Smart Entry Point मिलता है।
🎯 Best Timeframe
✔️ Recommended: 15 Minute Chart
✔️ Works on: Forex, Crypto, Indices, Commodities, Stocks
指標和策略
RSI Trendline Breakout BB Exit -by RiazMalikUse this strategy based on RSI and bolinger bands
When RSI trend line breaks take position when RSI touches bolinger bands exit
SMC Support/Resistance BOS RBS StrategyThis strategy combines Smart Money Concepts (SMC) with Support & Resistance trading to capture high-probability reversal and continuation setups.
Key features:
Break of Structure (BOS): Confirms market direction before entering trades.
Role Reversal (RBS): Trades levels that have flipped roles (Support → Resistance or Resistance → Support).
Support & Resistance: Uses pivot-based levels to identify key reaction zones.
Risk Management: Fixed 10% stop loss and 50% take profit, giving a strong 1:5 reward-to-risk ratio.
Long & Short Entries: Trades both bullish and bearish setups with clear confirmation rules.
✅ Works best on Forex, Crypto, and Indices
✅ Suitable for 1H, 4H, and Daily timeframes
✅ Focused on trend and reversal opportunities
SMC BOS Strategy 1:1 RRThe SMC BOS Strategy 1:1 RR is a Smart Money Concepts–based trading strategy designed to capture high-probability market continuation moves after a Break of Structure (BOS). It focuses on trading in the direction of institutional momentum with clear risk control.
📌 Core Concept
Markets move in structure (higher highs & higher lows in an uptrend, lower highs & lower lows in a downtrend).
A Break of Structure (BOS) occurs when price closes beyond a previous swing high or swing low, signaling that smart money may be pushing price in a new or continued direction.
⚙️ Strategy Rules
1️⃣ Market Structure Identification
Swing highs and swing lows define key structure levels.
These levels act as institutional decision points.
2️⃣ Break of Structure (BOS)
Bullish BOS: Price closes above the previous structure high.
Bearish BOS: Price closes below the previous structure low.
3️⃣ Trade Entry
Buy after a bullish BOS.
Sell after a bearish BOS.
Entry is taken at the close of the BOS candle.
4️⃣ Risk Management (1:1 RR)
Stop Loss (SL):
Long trades → below previous structure low.
Short trades → above previous structure high.
Take Profit (TP):
Set equal to the stop-loss distance (1:1 risk–reward).
📊 Why 1:1 Risk–Reward?
Ensures high win-rate focus.
Suitable for scalping and intraday trading.
Protects capital with consistent, controlled risk.
✅ Key Advantages
✔ Clear and objective rules
✔ Institutional price-action logic (SMC)
✔ Automatic stop loss & take profit
✔ Works on Forex, Gold, Crypto, Indices
✔ Easy to backtest and optimize
RAKSHIT SINGH INDICATORPICCASING Indicator एक Multi-Timeframe Professional Trading System है, जो RSI + VWAP के Combination से High Probability Buy & Sell Opportunities detect करता है। यह Indicator Trend के साथ Entry देता है और केवल तब signal देता है जब Market Pullback के बाद फिर से Trend Continue करने के लिए तैयार हो।
🔥 Strategy Logic
Indicator दो Timeframes पर Market Strength चेक करता है:
SELL Condition
RSI (1 Hour) < 50
RSI (15 Minute) < 50
Price VWAP के नीचे हो
Price VWAP के पास आए (Pullback)
Bearish Confirmation Candle बने
BUY Condition
RSI (1 Hour) > 50
RSI (15 Minute) > 50
Price VWAP के ऊपर हो
Price VWAP के पास आए (Pullback)
Bullish Confirmation Candle बने
इससे Indicator केवल वही Signals देता है जहाँ Market में Clear Direction + Strong Momentum + Smart Entry Point मिलता है।
🎯 Best Timeframe
✔️ Recommended: 15 Minute Chart
✔️ Works on: Forex, Crypto, Indices, Commodities, Stocks
⚙️ Features
Multi-Timeframe RSI Filtering
VWAP Trend Confirmation
Smart Pullback Entry Detection
Confirmation Candle Logic
Clean Buy / Sell Signals
Built-in Alerts (Trading & Automation Ready)
Full Backtest Supported Strategy
🎯 Purpose
PICCASING Indicator Scalpers, Intraday Traders और Swing Traders के लिए बनाया गया है ताकि वे Noise से बचकर केवल High Accuracy Setup पर Trade कर सकें।
CTA Trend Model (TA and Quant)Simple CTA Long-Term model using a mix of Quant and old school Technical Indicators.
Use on Daily or Weekly Charts for trending macro futures/spot markets
AT trading systemIn the AT trading system, AT LONG means closing a long position and AT short means closing a long position and shorting.
The Blessed Trader Ph. | Double EMA + RSI (20) Strategy v1.0📊 The Blessed Trader Ph.
Double EMA + RSI (20) Strategy — v1.0
1️⃣ Strategy Overview
This is a trend-following breakout strategy designed to:
Catch strong directional moves
Filter out weak trades using momentum confirmation
Control risk with ATR-based stop-loss and take-profit
It works best in trending markets such as:
Crypto (BTC, ETH, altcoins)
Forex (major & minor pairs)
Indices (NAS100, US30, SPX)
2️⃣ Indicators Used
🔹 Double EMA Channel
EMA 20 High → Dynamic resistance
EMA 20 Low → Dynamic support
These two EMAs create a price channel:
Break above → bullish strength
Break below → bearish weakness
Unlike a single EMA on close, using High & Low EMAs helps:
Reduce fake breakouts
Confirm real price expansion
🔹 RSI (20)
Measures momentum strength
RSI > 50 → bullish momentum
RSI < 50 → bearish momentum
RSI is used only as a filter, not as an overbought/oversold signal.
🔹 ATR (14)
Measures market volatility
Used to calculate:
Stop Loss (1.5 × ATR)
Take Profit (3.0 × ATR)
This makes the strategy:
Adaptive to any market
Effective across timeframes
3️⃣ Trade Rules (Very Important)
✅ BUY (LONG) Conditions
A buy trade is opened only when all conditions are met:
Price closes above EMA 20 High
RSI (20) is above 50
Candle is confirmed (bar close)
➡️ This means:
“Price has broken resistance with strong momentum.”
❌ SELL / EXIT Conditions
The long trade is closed when:
Price closes below EMA 20 Low
RSI (20) is below 50
➡️ This signals:
“Trend strength is weakening or reversing.”
🛑 Stop Loss & 🎯 Take Profit
Stop Loss = Entry − (ATR × 1.5)
Take Profit = Entry + (ATR × 3.0)
Risk–Reward ≈ 1 : 2
This protects capital and lets winners run.
4️⃣ Why This Strategy Works
✔ Trades with the trend
✔ Avoids ranging markets
✔ Uses confirmation, not prediction
✔ Non-repainting (bar close only)
✔ Works on any timeframe
5️⃣ 🔥 Why Heikin Ashi Candles Improve Results
What are Heikin Ashi candles?
Heikin Ashi candles smooth price action by averaging price data instead of using raw OHLC values.
Benefits for THIS strategy:
✅ 1. Cleaner Trend Detection
Fewer false EMA breakouts
Smoother closes above EMA High
Stronger continuation signals
✅ 2. Reduced Whipsaws
RSI stays more stable
Fewer fake buy signals during consolidation
✅ 3. Better Trade Holding
Keeps you in trends longer
Avoids early exits caused by noise
6️⃣ How to Use Heikin Ashi with This Strategy
On TradingView:
Open your chart
Click Candles
Select Heikin Ashi
Apply the strategy
📌 Important Tip
EMAs & RSI will now be calculated using Heikin Ashi data
This is ideal for trend-following, not scalping ranges
7️⃣ Best Settings & Recommendations
⏱ Timeframes
5m / 15m → Crypto & Forex intraday
1H / 4H → Swing trading
Daily → Position trading
📈 Market Conditions
Best in strong trends
Avoid low-volatility ranges
🎯 Pro Tip
Combine with:
Higher-timeframe trend bias
Session filter (London / New York)
Volume confirmation
8️⃣ Final Advice from
🙏 The Blessed Trader Ph.
“This strategy doesn’t predict — it confirms.
Be patient. Wait for clean Heikin Ashi closes.
Trade less, but trade better.”
Rakshit SolutionsPICCASING INDICATOR — RSI + VWAP Precision Trading System
PICCASING Indicator एक Multi-Timeframe Professional Trading System है, जो RSI + VWAP के Combination से High Probability Buy & Sell Opportunities detect करता है। यह Indicator Trend के साथ Entry देता है और केवल तब signal देता है जब Market Pullback के बाद फिर से Trend Continue करने के लिए तैयार हो।
🔥 Strategy Logic
Indicator दो Timeframes पर Market Strength चेक करता है:
SELL Condition
RSI (1 Hour) < 50
RSI (15 Minute) < 50
Price VWAP के नीचे हो
Price VWAP के पास आए (Pullback)
Bearish Confirmation Candle बने
BUY Condition
RSI (1 Hour) > 50
RSI (15 Minute) > 50
Price VWAP के ऊपर हो
Price VWAP के पास आए (Pullback)
Bullish Confirmation Candle बने
इससे Indicator केवल वही Signals देता है जहाँ Market में Clear Direction + Strong Momentum + Smart Entry Point मिलता है।
🎯 Best Timeframe
✔️ Recommended: 15 Minute Chart
✔️ Works on: Forex, Crypto, Indices, Commodities, Stocks
⚙️ Features
Multi-Timeframe RSI Filtering
VWAP Trend Confirmation
Smart Pullback Entry Detection
Confirmation Candle Logic
Clean Buy / Sell Signals
Built-in Alerts (Trading & Automation Ready)
Full Backtest Supported Strategy
🎯 Purpose
PICCASING Indicator Scalpers, Intraday Traders और Swing Traders के लिए बनाया गया है ताकि वे Noise से बचकर केवल High Accuracy Setup पर Trade कर सकें।
Two Bar ATR Flip
This strategy was generated entirely from a natural language prompt, without a single line of code written or edited by a human developer.
Using CodaPro’s AI engine, the logic, structure, syntax, and alerts were all fully constructed by ARiS — OpenAI’s trading code architect integrated into the CodaPro workflow.
The result is a regime-based trend strategy that uses ATR trailing bands to detect directional flips, confirmed with a two-bar hold filter, and automatically routes alerts to brokers for live execution.
It is engineered with clean logic flow, risk-calibrated sizing, and automated broker payloads — suitable for immediate deployment or as a modular base for advanced quant systems.
Core Components:
1. ATR Flip Engine (Regime Detection)
SuperTrend-style band logic with hl2 ± ATR * multiplier.
Directional regime flips are tracked and locked using persistent variables.
Flip triggers are validated only on strong crossovers.
2. 2-Bar Confirmation Filter
Ensures regime flips persist for 2 full bars before allowing entries.
Eliminates transient noise and early reversals.
3. Dynamic Risk-Based Position Sizing
Uses equity-based % risk to calculate size based on ATR-derived stop distance.
No static contracts — size adjusts dynamically per market volatility.
4. Entry/Exit Logic
Entry logic supports long/short with full reversal logic (strategy.close_all() on flip).
SL and TP are derived from current ATR and auto-adjust per entry bar.
5. Broker Integration Payloads
Alerts include JSON payloads for enter and exit-all, with multiplier precision.
Ready for webhook integration with brokers like Tradovate or IBKR.
6. Visual Aids
Flip and confirmation signals are plotted for visual debugging.
Regime background colors (lime/red) for rapid context.
Trailing stoplines plotted dynamically based on trend.
Automation Notes:
Alerts built using alert.freq_once_per_bar_close
Full compatibility with webhook delivery systems
Designed for deterministic behavior: process_orders_on_close = true
Original Prompt Used by the user and generated by CodaPro.ai - ARiS
"Build a Pine Script strategy that flips between long and short using an ATR trailing stop.
Add a 2-bar confirmation after each flip before entering a position.
Include dynamic position sizing based on risk % and ATR stop distance.
Add take profit and stop loss based on ATR.
Generate broker payloads for entry and exit as webhook alerts."
Red light / Green lightInspired on the video www.youtube.com
In the video he claims that using simple indicators work better than complex indicators.
This script was created using 1 indicator from each indicator family.
The following indicators are used:
- RVI as a volatility indicator
- Chaiking Oscillator as a volume indicator
- RSI as a momentum indicator
- MACD as a trend indicator
Don't forget to adapt the order size and the commission. I've taken commission as 0.1 based on the Bybit non-VIP spot trading.
Happy trading!
[PickMyTrade] Trend strategy for LongThis strategy detects descending trend resistance using pivot-based trendlines and enters long positions when price confirms a breakout above a validated trendline. It is designed to capture bullish trend reversals with strict risk control and flexible exit management.
The system focuses on structural market behavior rather than indicators, making it suitable for traders who prefer price-action-based decision making.
USAGE
This strategy automatically builds trendlines from confirmed pivot highs. A trendline is considered valid only when price has interacted with it a user-defined number of times, ensuring that trades are taken only from well-formed market structures.
A trade is triggered when price closes above a validated descending trendline while optional session and position limits are respected.
All risk and position sizing are calculated automatically based on the selected risk amount and stop-loss distance.
HOW IT WORKS
The strategy identifies swing highs using pivot logic and connects them into descending trendlines. Each trendline must meet a minimum number of touch confirmations before becoming eligible for trading.
When price closes above a valid trendline, the strategy calculates:
Stop-loss placement below the most recent pivot low
Position size based on fixed monetary risk
Profit targets based on the selected exit method
EXIT METHODS
Three exit models are supported:
Risk–Reward Ratio
Uses a fixed multiple of the defined risk distance to set the take-profit level.
Lookback Candle Exit
Exits trades when price shows structural reversal behavior based on recent candles.
Fibonacci Targets
Uses Fibonacci extensions derived from recent swing structure to trail profits dynamically.
An optional trailing stop can also be enabled to protect open profits.
FEATURES
Automatic pivot-based trendline detection
Multi-trendline or single-trendline operation
Dynamic position sizing based on monetary risk
Pivot-based stop-loss placement
Multiple exit methodologies
Optional trailing stop
Optional trading session filter
Fully visualized trendlines, stop levels, and profit targets
SETTINGS
Trend Detection
Pivot Length for Trend
Touch Number
Validation Percentage
Optional Pivot-to-Pivot Confirmation
Risk Management
Fixed Risk Amount
Default Contract Size Option
Stop-Loss Buffer
Trailing Stop Toggle
Take-Profit
Exit Method Selection
Risk-Reward Ratio
Lookback Candle Length
Fibonacci Extension Levels
Session Filter
Enable/Disable Session Trading
Trading Session Time Window
Midnight StrategyHigh / Low 15mins after midnight CET, after two breakouts Long/Short with SL (High-Low)/2
Bot Scalping XAUUSD(Volatilidad + TP Parcial + Modo Intermedio)Probar un nuevo bot.
En oro dando entradas para scalping con TP, SL Y BE
ilker %90This strategy is a short-term momentum approach based on moving averages and volume. Studies show it performs more effectively on the 1-hour and 4-hour timeframes. Take-profit and stop-loss distances are kept short, resulting in a high win rate, while the profit factor ranges between 1.4 and 2.
40 SMA Scaling StrategyThis trend-following strategy focuses on capturing momentum when price breaks above the 40-period Simple Moving Average (SMA) while utilizing a systematic scale-out (Take Profit) approach to lock in gains during extended runs.
Strategy Logic
Entry: Opens a Long position with 100% of current equity when the price closes above the 40 SMA. This ensures maximum capital efficiency at the start of a new perceived trend.
Scaling Take Profits: To reduce risk as the trade progresses, the strategy automatically closes 25% of the initial position for every 1% increase in price from the entry point.
Exit: The entire remaining position is closed immediately if the price closes below the 40 SMA, acting as a trailing stop that adapts to the moving average.
Key Features
Capital-Efficient: Starts with a full account allocation to maximize exposure to the initial breakout.
Systematic De-risking: By scaling out in 25% increments, the strategy banks profits early while leaving a portion of the trade active for potential "moon shots."
Trend-Following Exit: Uses a classic SMA filter to exit, aiming to stay in the trade as long as the medium-term trend remains bullish.
%-to-Tick Trailing Stop & VisualizerPercent-to-Tick Trailing Stop (strategy.exit Framework + Visualizer)
Overview
This script focuses on exit management and visualization, not entry performance. The included MA crossover entry is intentionally simple and replaceable.
Core idea (Percent → Tick conversion)
strategy.exit() trailing parameters are tick-based (trail_points, trail_offset, and loss).
This script lets you input distances in percent (%) and converts them into integer ticks using syminfo.mintick, making the same exit logic portable across most tick-based symbols/exchanges with different tick sizes.
//==What it provides==//
1. % → tick conversion for:
- Fixed stop loss (loss)
- Trailing activation distance (trail_points)
- Trailing offset distance (trail_offset)
2. On-chart visualization:
- Entry average price
- Trailing activation threshold
- Fixed stop-loss line
- Trailing stop line (with an exit-bar alignment attempt to reduce gaps)
//==How to use==//
1. Keep the included MA crossover entries, or replace them with your own entries.
2. Configure:
- Fixed Stop Loss % (loss_pct)
- Trailing Activation % (t_points_pct)
- Trailing Offset % (t_offset_pct)
3. Adjust commission/slippage defaults to match your market.
//==Important limitations (must read)==//
- calc_on_every_tick=true recalculates on realtime bars only; historical bars are evaluated differently. Backtests can differ from realtime behavior and may change after reload.
- Tick rounding: percent distances are rounded to integer ticks, so small differences can occur depending on tick size and price level.
- For more realistic intrabar backtesting, consider enabling Bar Magnifier in Strategy Properties (if available).
# Average Entry Price (Basis):
"Calculations are based on the position's average entry price (strategy.position_avg_price)."
# Pine Script v6:
"Written in the latest Pine Script v6."
요약
이 스크립트의 핵심은 “진입 전략”이 아니라 **strategy.exit()의 tick 기반 트레일링 파라미터를 % 입력으로 일반화(%→ticks 변환)**하여, 다양한 심볼/거래소의 서로 다른 tick size 환경에서도 동일한 exit 로직을 재사용할 수 있게 만든 “청산 프레임워크”입니다. 또한 calc_on_every_tick=true 환경에서 트리거/손절/트레일 라인을 실시간에 가깝게 시각화하는 데 중점을 두었습니다.
단, calc_on_every_tick은 실시간 바에서만 틱 단위 재계산이 적용되며, 히스토리 바/백테스트는 평가 방식이 달라 결과가 다를 수 있습니다.
SMAcross-mvrOverview
SMAcross-mvrNew is a flexible, non-repainting moving-average strategy designed for clarity, configurability, and reliable backtesting.
It supports multiple entry styles, optional layered exits, and full-capital position sizing, while remaining stable during chart zooming and dragging.
🚀 What’s New in v2
✅ Multiple Entry Modes
You can now choose how trades are entered:
Entry Mode A: Short SMA crosses Long SMA
Entry Mode B: Price crosses Long SMA
This allows both classic MA-crossover trading and trend-continuation pullback entries using the same strategy.
✅ Modular Exit System (Checkbox-Based)
Exit logic is now fully modular using independent checkboxes:
☑ Exit on opposite signal
☑ Exit when price closes beyond Short SMA
You may enable one, both, or neither.
If both are enabled, the strategy exits on whichever condition occurs first.
✅ Terminology Clarity
All labels, inputs, and alerts now use semantic naming:
Short SMA (formerly 13 SMA)
Long SMA (formerly 30 SMA)
This makes the strategy easier to understand and future-proof if SMA lengths are changed.
✅ Full-Capital Position Sizing
Each trade uses 100% of available equity, allowing performance to naturally compound over time during backtests.
✅ Optional Visual Enhancements
Optional cross price labels (can be toggled on/off)
Color-filled zone between Short and Long SMAs for quick trend recognition
Optional 200 SMA (off by default) for higher-timeframe context
✅ Alert-Ready (TV-Safe)
All alerts use static messages compatible with TradingView’s alert system, making the strategy suitable for:
Manual trade notifications
Webhook-based automation
Broker integrations
🔒 Design Principles
No repainting
No line continuations (TradingView-safe formatting)
Stable behavior when zooming or scrolling
Clear separation of entry logic, exit logic, and visuals
⚠️ Notes
This script is intended for educational and research purposes.
Always forward-test and apply proper risk management before live trading.
ETH Vol Breakout - NO ERROR VERSIONThis strategy examines the impact of Eth.d Vol on Ethereum price. Looking at ETHDVOL -60 (Support) and 78 (Resistance)—tell a very specific story - analyzing a High Volatility Regime.
The support level around 60 and resistance 78, tend to only occurs during Bull Runs or Market Crashes.
In the "Quiet Years", ETHDVOL rarely touched 60, let alone 78.
Trying to develop a strategy that is perfectly tuned for a Bull Market or a Crisis,
1. The "60 Floor" (Support)
Context: In a high-volatility regime, when ETHDVOL drops to 60, it indicates the market has "cooled off" just enough to reload leverage.
Historical Behavior (2021-2022 Context):
July 2021: After the May crash, ETHDVOL compressed down and found support at ~65.
Result: This marked the local bottom before the massive run-up to the November All-Time Highs ($4,800).
Outcome: Strong Buy Signal (Trend Continuation).
January 2022: ETHDVOL dropped to ~58-60 while price was hovering around $3,000.
Result: The floor broke, volatility spiked to 80+, and price crashed to $2,200.
Outcome: Trap / Warning Signal.
The Pattern: When Volatility hits 60 (Support), price is usually Coiling.
If Price is trending UP: This is a "dip buy" opportunity. The coil resolves upwards.
If Price is trending DOWN: This is the "calm before the flush." The coil resolves downwards.
2. The "78 Ceiling" (Resistance)
Context: 78 is an extreme reading. It represents panic (bottom) or euphoria (blow-off top).
Historical Behavior:
May 2021 (The Crash): ETHDVOL smashed through 78, peaking at 100+.
Price Action: Price collapsed from $4,000 to $1,700.
Signal: If Vol > 78, you are in a capitulation event. Buying spot here is usually profitable within 3-6 months (buying the blood).
November 2022 (FTX Collapse): ETHDVOL spiked to ~75-80.
Price Action: ETH hit $1,100 (Cycle Lows).
Signal: Hitting 78 marked the Absolute Bottom.
November 2021 (The Top): Interestingly, at the $4,800 price peak, Volatility was NOT at 78. It was lower (~60-70).
Insight: Bull market tops often happen on lower volatility than bear market bottoms.
TAN Omni-Dash v50: Dividend Payout for Jan 2026 TradableJust a simple Momentum swing algo. It's mainly for keeping an eye out for Jan 2026 ex-divedent payouts list. This code contains top 100 most profitable payouts.
Seasonal Strategies V1Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset.
The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based — no indicators, no predictions, no discretionary input.
Key Features
Asset-specific seasonal windows (MMDD-based)
Automatic long and short activation
Fully time-based entries and exits
One position at a time (no pyramiding)
Clean chart visualization using subtle background shading
No indicators, no filters, no curve fitting
Philosophy:
This strategy is designed as a structural trading tool, not a forecasting model.
It focuses on when a market historically shows seasonal tendencies — not why or how far price might move.
Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions.
Intended Use:
Futures and commodity markets
Seasonality research and testing
Systematic, calendar-driven strategies
Educational and analytical purposes
Disclaimer
This script is provided for educational and research purposes only.
Past seasonal tendencies do not guarantee future performance.
Risk management, position sizing, and portfolio decisions are the responsibility of the user.
RSI > 70 Buy / Exit on Cross Below 70This strategy buys when the RSI (Relative Strength Index) closes above 70, indicating strong market momentum. It closes the position as soon as the RSI crosses down and falls below 70, to secure profits before a possible reversal.
In summary:
Entry: RSI > 70
Exit: RSI crosses down below 70
It’s a momentum-based strategy that aims to take advantage of strong trends but exits as soon as the momentum weakens.
EMA and Dow Theory Strategies V2 DOGE Current Optimum Value
📘 Overview
These are the current optimal values for DOGE.
They are intended for use on the 2‑hour timeframe.
This script requires complex configuration, but there is an optimal set of values somewhere.
Here, I’m sharing the settings that I personally use at the moment.
Turning Take Profit off can lead to higher profits, but it also increases risks such as a lower win rate.
With Take Profit on, you can adjust the settings by increasing the values.
I have been trading using Dow Theory for many years.
Trading with Dow Theory and EMA has been my main strategy.
Although it has been profitable, I have long struggled with its low win rate.
The issue lies in the immaturity of the exit strategy, and I’m currently experimenting to see if I can solve that.
In V2, I added three take‑profit lines, securing 30% of the profit at each level to ensure a minimum level of gain.
Additionally, when the trend weakens, half of the position is closed.
In all scenarios, the remaining position is held until the trend reverses.
The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance.
🧠 Key Features
🔹 1. Dual‑EMA Trend Logic (Symbol + External Index)
Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias.
🔹 2. Dow Theory Swing Detection (Real‑time)
The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone.
🔹 3. Gradient Trend Zones (Visual Trend Strength)
When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive.
🔹 4. Higher‑Timeframe Swing Trend (htfTrend)
Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries.
🔹 5. RSI‑Based Entry Protection
RSI prevents entries during extreme overbought/oversold conditions.
🔹 6. Dynamic Exit System
Includes:
Custom stop‑loss (%)
Partial take‑profit (TP1/TP2/TP3)
Automatic scale‑out when trend color weakens
“Color‑change lockout” to prevent immediate re‑entry
Real‑time PnL tracking and labels
🔹 7. Alerts for All Key Events
Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts.
🔹 8. Visual PnL Labels & Equity Tracking
PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments.
⚙️ Input Parameters
Parameter Description
Fast EMA / Slow EMA EMAs used for symbol trend detection
Index Fast / Slow EMA EMAs applied to external index
StopLoss (%) Custom stop‑loss threshold
Scale‑Out % Portion to exit when trend color weakens
RSI Period / Levels Overbought/oversold filters
Swing Detection Length Bars used to detect swing highs/lows
Stats Display Position of statistics table
🧭 About htfTrend (Higher Timeframe Trend)
The higher‑timeframe swing trend is displayed visually but not used for entry logic.
Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness.
Use it as a contextual guide, not a constraint.
📘 概要
DOGEの現在の最適値です。
2時間足での使用を想定しています。
このスクリプトは複雑な設定が必要ですが、どこかに最適値が存在します。
今回は現在私が個人的に使っている設定値の公開です。
Take ProfitをOFFにするとさらなる利益が望めますが、勝率が下がるなどのリスクが上がります。
ONにした状態で数値を上げることによって調整することが可能です。
私はダウ理論を使ったトレードを長年続けてきました。
ダウ理論とEMAを使ったトレードが私の主力です。
しかし利益は出るものの、長年その勝率の低さに悩んでいました。
問題は出口戦略が未熟なためで、現在はそれらの解決ができないかと試行錯誤を続けています。
V2では3本の利益確定ラインを引き、それぞれ30%ずつ利益を確定し、最低限の利益がでるようにしました。
それ以外にはトレンドが弱まったタイミングで半分の利益確定をし、どのパターンでも残ったポジションはトレンド転換まで持ち続けます。
🧠 主な機能
🔹 1. 銘柄+外部インデックスの EMA クロス判定
対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。
🔹 2. ダウ理論に基づくスイング高値・安値の自動検出
スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。
🔹 3. グラデーション背景によるトレンド強度の可視化
スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。
🔹 4. 上位足スイングトレンド(htfTrend)の表示
4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます(ロジックには未使用)。
🔹 5. RSI による過熱・売られすぎフィルター
極端な RSI 状態でのエントリーを防止。
🔹 6. 動的イグジットシステム
カスタム損切り(%)
TP1/TP2/TP3 の段階的利確
トレンド色の弱まりによる自動スケールアウト
色変化後の再エントリー制限(waitForColorChange)
リアルタイム PnL の追跡とラベル表示
🔹 7. アラート完備(JSON 形式)
エントリー、損切り、部分利確、トレンド反転などすべてに対応。
🔹 8. 損益ラベル・統計表示
直近トレードの損益をチャート上に表示し、視覚的に把握できます。
⚙️ 設定項目
設定項目名 説明
Fast / Slow EMA 銘柄の EMA 設定
Index Fast / Slow EMA 外部インデックスの EMA 設定
損切り(%) カスタム損切りライン
部分利確割合 トレンド弱化時のスケールアウト割合
RSI 期間・水準 過熱/売られすぎフィルター
スイング検出期間 スイング高値・安値の検出に使用
統計表示位置 テーブルの表示位置
🧭 上位足トレンド(htfTrend)について
上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。
理由: 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。
本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。
→ 裁量で利確判断や逆張り回避に活用できます。






















