Breakout asia USD/CHF1 — Customizable Parameters
sess1 & sess2: The two time ranges that define the Asian session (e.g., 20:00–23:59 and 00:00–08:00).
Important: format is HHMM-HHMM.
rr: The risk/reward ratio (default = 3.0, meaning TP = 3× risk size).
onePerSess: Toggle to allow only one trade per Asian session or multiple.
bufTicks: Extra margin for the SL beyond the signal candle.
2 — Detecting the Asian Session
The script checks if the candle’s time is inside the first range (sess1) or inside the second range (sess2).
While inside the Asian session, it updates the current high and low.
When the session ends, it locks in these levels as rangeHigh and rangeLow.
3 — Step 1: Detecting the Initial Breakout
Bullish breakout → close above rangeHigh → flag breakoutUp is set to true.
Bearish breakout → close below rangeLow → flag breakoutDown is set to true.
No trade yet — this is just the breakout signal.
4 — Step 2: Waiting for the Retest
If a bullish breakout occurred, wait for the price to return to or slightly below rangeHigh and then close back above it.
If a bearish breakout occurred, wait for the price to return to or slightly above rangeLow and then close back below it.
5 — Entry & Exit
When the retest is confirmed:
strategy.entry() is triggered.
SL = behind the retest confirmation candle (with optional bufTicks margin).
TP = entry price ± RR × risk size.
If onePerSess is enabled, no further trades happen until the next Asian session.
6 — Chart Display
Green line = locked Asian session high.
Red line = locked Asian session low.
Light blue background = active Asian session hours.
Trade entries are shown on the chart when retests occur.
週期
Lunar Calendar US Stocks StrategyLunar Calendar US Stocks Strategy
A very simple lunar calendar US stock trading strategy.
Buy : 12th day of the lunar calendar
Sell : 2th day of the lunar calendar
Banned period : Solar Dec 14 ~ Lunar Jan. 15
Buy and sell before US holidays
Total profit is almost same as just buy & hold.
But MDD is less.
Compare with following Crypto strategy (Lunar day 5~26)
Savage Break–Retest Heikin AshiSavage Break-Retest is a swing trading strategy designed to capture high-probability reversals after a breakout and retest of key price zones.
Quick Breakdown
It was developed and tested on Bitcoin because of its strong cyclical price behavior, but the logic can be applied to other volatile markets.
Best results have been seen using:
• Daily timeframe
• Heikin Ashi candles
• Allowing trades to run for several days or more
Recommended to first test on a live demo account to understand position behavior, holding periods, and risk.
------
Detailed Description
Break-Retest is a rules-based swing trading strategy built around the classic breakout–retest–continuation price action pattern.
The core idea is simple:
1. Identify major support and resistance zones from higher timeframes (Daily, 4H, 1H).
2. Wait for a confirmed breakout through one of these zones.
3. Allow price to retest the broken zone with momentum confirmation from Heikin Ashi candles.
4. Enter in the direction of the breakout with a defined stop-loss based on ATR and recent swing points.
5. Target exits using a risk-to-reward multiple, tracking partial profits and full closes visually on the chart.
The strategy was modelled on Bitcoin due to its well-defined cyclical nature and tendency to respect technical zones, but it can be applied to other trending, volatile assets.
It performs best on the daily timeframe with Heikin Ashi candles, often holding trades for multiple days to capture larger swings. The system includes visual trade tracking, live P/L in both USD and BTC, and clear entry/exit markers for transparency.
While backtest results are promising, market conditions can change. It is recommended to run this strategy on a live demo account first, observing its behavior over several months before committing real capital.
Market State AnalysisSimple strategy that analyzes price states across different timeframes to detect market transitions.
What it does:
Measures price ranges over 3 different periods
Normalizes these ranges using ATR
Creates a combined "collapse" indicator
Enters when this indicator crosses below a threshold
Exits when it returns above the moving average
Settings:
State Length - Base period for analysis (default 13)
MA Length - Moving average smoothing (default 34)
Std Multiplier - Threshold sensitivity (default 2.0)
Quick Exit - Earlier exit option for scalping
Max Bars - Position timeout limit
Best for:
Short-term trading on 5M to 1H charts. Works by detecting when price compression leads to expansion moves.
Simple mathematical approach based on range analysis and standard deviation bands. No magic, just math.
blue-0Strategy Logic
1. RSI-Based Entry Signals
Uses weekly (W) RSI (14-period) to detect overbought/oversold conditions:
Buy Signal: RSI crosses above 35 (oversold)
Sell Signal: RSI crosses below 70 (overbought)
2. Dynamic SuperTrend Baseline
The SuperTrend middle line (xy) is calculated as the average of the latest buy and sell signal prices.
The upper and lower bands are derived using:
Upper Band: xy - (Multiplier × ATR(10))
Lower Band: xy + (Multiplier × ATR(10))
Trend Direction:
Bullish (Long): Price closes above SuperTrend
Bearish (Short): Price closes below SuperTrend
3. Trade Execution
Entries:
Long: When the trend changes from downtrend to uptrend
Short: When the trend changes from uptrend to downtrend
Exits:
4 Take-Profit Levels (scaling out):
TP1 (10%), TP2 (20%), TP3 (50%), TP4 (100%)
Stop-Loss (25%)
RSI & ADX Long/Short Strategy v6 (Manual ADX)Buy and Sell strategy of a stock using 8 period rsi and ADX indicator.
Recovery Zone Hedging [Starbots]Recovery Zone Hedging Strategy — Advanced Adaptive Hedge Recovery System
This strategy introduces an innovative zone-based hedge recovery approach tailored to TradingView’s single-direction trading model. Designed for serious traders and professionals, it combines multiple technical indicators with dynamic position sizing and adaptive take-profit mechanisms to manage drawdowns and maximize recovery efficiency.
How Recovery Zones Are Calculated
The strategy defines recovery zones as a configurable percentage distance from the last executed trade price. This percentage can be adjusted to suit different market volatility environments — wider zones for volatile assets, tighter zones for stable ones. When price moves into a recovery zone against the open position, the strategy places a hedge trade in the opposite direction to help recoup losses.
Dynamic Take-Profit Calculation
Take-profit targets are not fixed. Instead, they increase dynamically based on any accumulated losses from previous hedge trades. For example, if your initial target is 2%, but you have a $5 loss from prior hedges, the next take-profit target adjusts upward to cover both the loss and your profit goal, ensuring the entire hedge sequence closes in net profit.
Originality & Value
Unlike traditional hedging or recovery scripts that rely on static stop losses and fixed trade sizing, this strategy offers:
- Dynamic Hedge Entry Zones: Uses configurable percentage-based recovery zones that adapt to price volatility, allowing precise placement of hedge trades at meaningful reversal levels.
- Multi-Indicator Signal Fusion: Integrates MACD and Directional Movement Index (DMI) signals to confirm trade entries, improving signal accuracy and reducing false triggers.
- Exponential Position Sizing: Each hedge trade’s size grows exponentially using a customizable multiplier, accelerating loss recovery while carefully balancing capital usage.
- Adaptive Take-Profit Logic: The take-profit target adjusts dynamically based on accumulated losses and profit margins, ensuring that the entire hedge sequence closes with a net gain.
- Capital Usage Monitoring: A built-in dashboard tracks real-time equity consumption, preventing over-leveraging by highlighting critical capital thresholds.
- Fail-Safe Exit Mechanism: An optional forced exit beyond the last hedge zone protects capital in extreme market scenarios.
This strategy’s layered design and adaptive mechanisms provide a unique and powerful tool for traders seeking robust recovery systems beyond standard hedge or martingale methods.
How Components Work Together
- Entry Signals: The script listens for MACD line crossovers and DMI directional crosses to open an initial trade.
- Recovery Zones: If the market moves against the initial position, the strategy calculates a recovery zone a set percentage away and places a hedge trade in the opposite direction.
- Position Scaling: Each subsequent hedge trade increases in size exponentially according to the hedge multiplier, designed to recover all previous losses plus a profit.
- Take-Profit Target: Rather than a fixed target, the TP level is dynamically calculated considering current drawdown and desired profit margin, ensuring the entire hedge sequence closes profitably.
- Cycle Management: Trades alternate direction following the recovery zones until profit is realized or a maximum hedge count is reached. If needed, a forced stop-out limits risk exposure.
Key Benefits for Professional Traders
- Enhanced Risk Management: Real-time capital usage visualization helps maintain safe exposure levels.
- Strategic Hedge Recovery: The adaptive recovery zones and exponential sizing accelerate loss recoupment more efficiently than traditional fixed-step systems.
- Multi-Indicator Confirmation: Combining MACD and DMI reduces false signals and improves hedge timing accuracy.
- Versatility: Suitable for multiple timeframes and asset classes with adjustable parameters.
- Comprehensive Visuals: On-chart recovery zones, hedge levels, dynamic take-profits, and equity usage tables enable informed decision-making.
Recommended Settings & Use Cases
- Initial Position Size: 0.1–1% of account equity
- Recovery Zone Distance: 2–5% price movement
- Hedge Multiplier: 1.5–1.85x growth per hedge step
- Max Hedge Steps: 5–10 for controlled risk exposure
Ideal for trending markets where price retracements create viable recovery opportunities. Use caution in sideways markets to avoid extended hedge sequences.
Important Notes
- TradingView’s single-direction model means hedging is simulated via alternating trades.
- Position sizes grow rapidly—proper parameter tuning is essential to avoid over-leveraging.
This script is designed primarily for professional traders seeking an advanced, automated hedge recovery framework, offering superior capital efficiency and loss management.
پژواک گرگManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage accessManage access
استراتژی ساز نئو 01 🇮🇷
A **Strategy Builder** is a tool or framework that lets you **design, test, and optimize** a trading strategy based on predefined rules and conditions.
**Purpose**
The main goal is to remove emotional decision-making from trading by replacing it with systematic, rule-based execution.
**How it works**
1. **Define rules** – You set entry, exit, and risk management conditions (e.g., *Buy when the 50-period moving average crosses above the 200-period moving average*).
2. **Choose parameters** – Such as indicator periods, stop-loss levels, take-profit targets, or position sizing methods.
3. **Backtesting** – The builder tests these rules on historical price data to show how the strategy would have performed in the past.
4. **Optimization** – Adjust the parameters to find the most effective setup while avoiding overfitting.
5. **Deployment** – Use the final strategy either for manual trading or connect it to an automated trading bot.
**Key Benefits**
* **Consistency** – Eliminates impulsive trades.
* **Data-driven decisions** – Every trade is based on tested rules, not guesswork.
* **Time-saving** – Once the rules are set, execution can be automated.
* **Scalability** – You can create multiple strategies for different markets or timeframes.
**Example**
Imagine you want to trade EUR/USD:
* **Entry rule:** Buy when RSI < 30 and the price is above the 50 SMA.
* **Exit rule:** Sell when RSI > 70 or price falls below the 50 SMA.
* **Risk control:** Risk 2% of account balance per trade.
A Strategy Builder lets you input those rules, run them on 5 years of EUR/USD historical data, and see metrics like win rate, maximum drawdown, and profit factor before risking real money.
---
If you want, I can give you a **visual diagram** showing how the process flows from idea → testing → optimization → execution. That makes the concept much easier to grasp.
Nova Futures PRO (SAFE v6) — HTF + Choppiness + CooldownNova Futures PRO (SAFE v6) — HTF + Choppiness + Cooldown
Estrategia de NY ORB por CPThis strategy marks the New York market opening range during the first 15 minutes and confirms a buy or sell entry once the price returns and retests that range. It’s designed to capture trades of 60 points or more after the range has been retested. I suggest complementing the strategy with an indicator that highlights FVGs (Fair Value Gaps) or order blocks to better understand what price is doing and where it’s heading.
esta estrategia te marca el rango de apertura del mercado de ny de los primeros 15 minutos y te confirma entrada en venta o compra una vez que el precio regrese y retestee el rango. esta diseñada para tener trades de 60 puntos o mas una vez que el rango sea retesteado. sugiero acompañar la estrategia con algun indicador que marque fvg o order blocks para tener una mejor de lo que el precio esta haciendo y hacia donde se dirige.
CP Strat ORBnew york opening range breakout and retest allows you to enter a trade with a better clarity if the price comes back and retest the range
ETH/SOL 1D Dynamic Trend Core - STRATEGY v 45Overview
The Dynamic Trend Core is a sophisticated, multi-layer trading engine designed to identify high-probability, trend-following opportunities. Its core philosophy is rooted in confluence, meaning it requires multiple conditions across trend, momentum, and volume to align before generating a signal. This approach aims to filter out market noise and provide a clearer view of the underlying trend.
The script includes a comprehensive backtesting engine for strategy optimization and a rich, intuitive visual interface for real-time analysis.
How It Works: Core Logic
The engine validates signals through several sequential layers:
Primary Trend Analysis (SAMA): The foundation is a Self-Adjusting Moving Average (SAMA) that dynamically determines the primary market direction (Bullish, Bearish, or Consolidation).
Momentum Confirmation: Signals are then qualified using a blend of the Natural Market Slope and a Cyclic RSI to ensure momentum is firmly aligned with the established trend.
Advanced Filtering Suite: A suite of optional filters provides robust confirmation and allows for deep customization:
Volume & ADX: Confirms that trades are supported by sufficient market participation and trend strength.
Market Regime: Gauges broad market health (e.g., using TOTAL market cap) to avoid trading against the entire market.
Multi-Timeframe (MTF) Analysis: Aligns signals with the dominant trend on a higher timeframe (e.g., Weekly).
BTC Cycle Analysis: Positions trades within the context of historical Bitcoin cycles using models like the Halving Cycle or Mayer Multiple.
On-Chart Visuals & Features
The script provides full transparency into its logic with a powerful on-chart interface.
IMPORTANT: For the live visual elements to function correctly, you must enable "Recalculate on every tick" in the script's settings (Settings > Properties).
Power Core Gauge: Located at the bottom-center of the chart, this gauge is the heart of the system. It displays the number of filter conditions currently met (e.g., 5/6) and "powers up" by glowing brighter as more conditions align, indicating a fully confirmed signal is ready.
Live Conditions Panel: This panel in the bottom-right corner acts as a real-time pre-flight checklist. It shows the status (pass/fail) of every individual filter, so you know exactly why a signal is, or is not, being generated.
Energized Trendline: The primary SAMA trendline changes color and intensity based on the strength and direction of the trend, offering immediate visual context.
BTC Halving Cycle Visualizer: Provides a background color guide to the different phases of the Bitcoin halving cycle for macro context.
How to Use & Configure
Select Operation Mode:
Backtest Mode: Use this to test different settings on historical data and find optimal configurations for a specific asset and timeframe.
Alerts-Only Mode: Use this for live trading to generate alert signals without cluttering the chart with backtest data. (Contact publisher for access to this version)
Configure Your Filters:
Start with the default filter settings.
If a potential setup is missed, check the Live Conditions Panel to see which specific filter blocked the signal.
Enable, disable, or adjust filters in the script's settings to match your trading style and the asset's characteristics.
Manage Your Risk:
Go to the "Risk & Exit" settings to configure your Stop Loss and Take Profit parameters to match your personal risk tolerance.
Disclaimer: This script is for educational and informational purposes only. It is not financial advice. All trading involves risk, and past performance is not indicative of future results. Please conduct your own research and backtesting before making any trading decisions.
MNQ Gap-Fade (ETH) — RTH 08:30–15:00 CT, +/-3m refsStrategy overview
This strategy tests a gap-fade idea on MNQ when trading an ETH chart but referencing RTH timing. It measures the overnight move from 3 minutes before the prior RTH close (14:57 CT) to 3 minutes after today’s RTH open (08:33 CT). If that gap is big enough, it bets on mean reversion at the open:
Short after a large gap up
Long after a large gap down
How it works
Sampling windows (RTH, Chicago time):
Prev close sample: the 14:57 bar (3 min before 15:00 close)
Open sample: the 08:33 bar (3 min after 08:30 open)
These offsets help avoid opening/closing bar noise and ensure the bars have formed.
Overnight % move:
(OpenSample−PrevCloseSample)/PrevCloseSample × 100
Signals (at 08:33 pulse):
If gap % ≥ Gap-Up threshold → enter SHORT
If gap % ≤ −Gap-Down threshold → enter LONG
Risk management:
Per-trade TP and SL as percentages from entry (both adjustable)
If still in a position at 14:57, the strategy forces flat (closes all) before the RTH close
Plots & visibility:
Plots the computed Overnight Gap % line
Horizontal lines at your Gap-Up and Gap-Down thresholds for quick visual checks
Alerts:
alertcondition() events fire on:
the open-sample ready pulse,
gap-up short, and gap-down long conditions
(Pine requires static alert messages; the % gap itself is visible on the chart.)
Inputs you can adjust
Times (CT): RTH open/close and the ±3 min offsets (use different values if desired)
Gap thresholds (%): separate values for gap-up (short) and gap-down (long)
Take-profit / Stop-loss (%): per-side percentage targets from average entry price
Instrument & session notes
Designed for MNQ; works on an ETH chart while internally referencing CME/Chicago (CT) RTH times via 1-minute sampling.
If you prefer different markets or exact ET timestamps, change the time inputs accordingly.
Assumptions & limitations
This is a research/backtest tool for a simple gap-fade rule, not a complete trading system.
Slippage, fills, and overnight liquidity may differ from backtest assumptions.
Mean reversion can fail on trend days and during news events; use filters or wider thresholds if needed.
That should be everything reviewers and users need to understand what it does and how to tune it. Want me to add a short “Suggested defaults” block (e.g., 0.75–1.25% gaps, 1% TP/SL) or a “Known gotchas” section for ETH vs. RTH charts?
Ask ChatGPT
ORB 15m – First 15min Breakout (Long/Short)ORB 15m – First 15min Breakout (Long/Short)
Apply on SPY, great returns
Lunar calendar day Crypto Trading StrategyA very simple lunar calendar day trading strategy.
Trading strategy from the Lunar New Year to the end of December (Solar).
Buy : 5th day of the lunar calendar
Sell : 26th day of the lunar calendar
MomentumSync-PSAR: RSI·ADX Filtered 3-Tier Exit StrategyTriSAR-E3 is a precision swing trading strategy designed to capitalize on early trend reversals using a Triple Confirmation Model. It triggers entries based on an early Parabolic SAR bullish flip, supported by RSI strength and ADX trend confirmation, ensuring momentum-backed participation.
Exits are tactically managed through a 3-step staged exit after a PSAR bearish reversal is detected, allowing gradual profit booking and downside protection.
This balanced approach captures trend moves early while intelligently scaling out, making it suitable for directional traders seeking both agility and control.
BTC DCA AHR999 Strategy
This is an easy to understand and perform DCA strategy, based on the AHR999 indicator.
The initial strategy is based on the AHR999 indicator script from discountry, that is with this script transformed into a TV strategy:
The logic is pretty simple:
we do a DCA buy every week (in the code it is set on monday)
we do a small DCA buy, as long as AHR999 < 1.2 (signaling moderate BTC price)
we do a big DCA buy, as long as AHR < 0.45 (signaling undervalued BTC price)
we skip buys, as long as AHR > 1.2 (signaling overvalued BTC price)
Values for "small DCA buy" and "big DCA buy" can be adjusted, aswell as timeframe, we want the backtest for and a scale factor, to show the AHR999 indicator in the plot, aswell as the spent capital and the net worth of the accumulated BTC.
The scale factor of the plot can be varied, depending on the timeframe and input capital you are using (recommendation is to use a scale factor to be able to see the AHR999 indicator itself on the chart in a meaningful way).
Martin Strategy - No Loss Exit v3Martin Strategy1.0 Martin Strategy1.0 Martin Strategy1.0 Martin Strategy1.0 Martin Strategy1.0 Martin Strategy1.0
Parabolic SAR with Early Buy & MA-Based Exit Strategy📝 Strategy Description (Max SEO Impact)
This advanced Parabolic SAR-based trading strategy is designed to capture early trend reversals and exit intelligently using a dynamic moving average filter. It enters long trades when a PSAR reversal occurs, and exits only when the PSAR moves above price and the price falls below the 11-period SMA, helping avoid premature exits during volatile swings.
📌 Features:
• Custom Parabolic SAR calculation for refined trend tracking
• Background highlights during buy zones (SAR below price)
• Exit signals only when trend weakens (PSAR above + price under SMA)
• Red flag plotted on chart at exit bars for clear visual identification
• Works on all timeframes and instruments
Ideal for swing traders, trend followers, and strategy testers looking for smart PSAR-based entries with smoother exits.
Parabolic SAR with Early Buy & MA-Based Exit Strategy📝 Strategy Description (Max SEO Impact)
This advanced Parabolic SAR-based trading strategy is designed to capture early trend reversals and exit intelligently using a dynamic moving average filter. It enters long trades when a PSAR reversal occurs, and exits only when the PSAR moves above price and the price falls below the 11-period SMA, helping avoid premature exits during volatile swings.
📌 Features:
• Custom Parabolic SAR calculation for refined trend tracking
• Background highlights during buy zones (SAR below price)
• Exit signals only when trend weakens (PSAR above + price under SMA)
• Red flag plotted on chart at exit bars for clear visual identification
• Works on all timeframes and instruments
Ideal for swing traders, trend followers, and strategy testers looking for smart PSAR-based entries with smoother exits.
Parabolic SAR Strategy with MACD Confirmation & Trend Zone Highl📝 Description (SEO + Follower-Friendly):
🚀 Powerful Trend Strategy Using Parabolic SAR + MACD
This advanced Pine Script combines the classic Parabolic SAR trend-following system with MACD crossover confirmation, improving entry precision and filtering out false signals. The script also features:
✅ Dynamic trend zone background highlighting when SAR is below price
✅ MACD filter ensures trades align with market momentum
✅ Custom SAR logic with adaptive acceleration
✅ Clean visual SAR plots for easy trend tracking
✅ Fully backtestable with strategy.entry logic
🔎 Ideal for traders seeking early trend entries, momentum confirmation, and visual clarity.
📈 Works on all timeframes and pairs — perfect for swing traders, scalpers, and crypto enthusiasts.
💡 Use it as a base strategy or combine with your favorite indicators.
❤️ If you find this helpful, don't forget to like, comment, and follow for more premium strategies!