Bands and Channels
Supertrend By GemScope Supertrend by GemScope – Strategy Summary
This is an **automated trading strategy (Pine Script v5)** based on the **Supertrend indicator**, enhanced with **EMA filtering**, **percentage-based stop loss**, and **visual trade analytics**.
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### 🔹 Core Strategy Logic
* Uses **Supertrend (ATR-based)** to detect market trend direction
* Trades **trend reversals and confirmations**
* Works on **both long and short positions**, or restricted to one side
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### 🔹 Trade Direction Options
* **Both Long & Short**
* **Long Only**
* **Short Only**
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### 🔹 Entry Conditions
#### 🟢 Long Entry
* Supertrend flips to **bullish**
* OR price crosses **above EMA 200**
* Long trades are allowed by settings
* If enabled: **price must be above EMA 200**
* Supertrend must confirm **uptrend**
#### 🔴 Short Entry
* Supertrend flips to **bearish**
* Short trades are allowed by settings
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### 🔹 Position Sizing
* Trade size is defined in **USD**
* Quantity is calculated automatically based on market price
* Quantity rounding is user-configurable
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### 🔹 Stop Loss (Risk Management)
* **Fixed percentage stop loss**
* Automatically placed after entry
* Works for both long and short positions
* No take-profit levels (trend-based exits instead)
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### 🔹 Exit Logic
* **Short positions close** when:
* Supertrend turns bullish
* Price moves above EMA 200
* **Long positions close** when:
* Supertrend gives a short signal
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### 🔹 Trend Protection
* Optional protection to **avoid closing shorts prematurely below EMA 200**
* EMA 200 acts as a **trend filter and support/resistance**
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### 🔹 Visual Features
* **EMA 200** plotted on chart
* **Supertrend line** with color-coded direction
* Real-time **entry & P&L labels** displayed on the right side
* Indicator dashboard (RSI, MACD, ADX, ATR) shown in a table
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### 🔹 Indicator Table Purpose
* Shows **market strength and bias**
* Helps identify whether **long or short positions are favored**
* Uses:
* RSI (momentum)
* MACD (trend direction)
* ADX (trend strength)
* ATR (volatility)
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### 🔹 Overall Objective
This strategy is designed to:
* Trade **strong trends**
* Filter false signals using EMA 200
* Control risk with **strict percentage stop loss**
* Provide **clear visual feedback** for decision-making
Turtle Breakout Pro (Low DD Mode)Turtle Breakout Pro (Low DD Mode) is a trend-following breakout strategy built to participate only in higher-quality expansions while actively limiting exposure during unfavorable phases.
1. Core idea
This strategy focuses on capturing directional moves that begin with a clear price expansion beyond a recent range. It aims to trade only when the market shows both direction and commitment, avoiding entries that are likely to fade back into congestion.
2. Breakout validation
Signals are not triggered by a single touch or a marginal break. The strategy requires price to clear a breakout area with a safety margin and then demonstrate continued acceptance beyond that level. This confirmation behavior is designed to reduce false breakouts and late-session spikes that immediately retrace.
3. Market quality filters
Trades are allowed only when broader conditions support trend continuation. The strategy can enforce a directional bias filter, a trend-strength filter, a volatility suitability check, and an optional participation filter based on activity. The intent is to avoid breakouts that occur in weak, ill-conditioned environments where continuation is statistically less reliable.
4. Adaptive risk and sizing
Position size is dynamically adjusted so that risk remains proportional to current volatility. Instead of using fixed size, the strategy scales exposure based on how much the market can realistically move against the position in normal conditions. This is designed for multi-market use and for maintaining consistency across changing volatility regimes.
5. Exit framework
Exits are layered rather than single-purpose. The strategy uses a protective stop to define invalidation, can progressively protect profits as the trade moves in favor, and can optionally take profits at a logical expansion distance. In addition, a structure-based exit can close positions when the market violates a shorter-term boundary, aiming to avoid giving back too much during reversals.
6. Time and stagnation control
The strategy can enforce a maximum holding time to prevent capital being tied up in trades that stop progressing. If the market does not deliver continuation within a reasonable window, the position is closed to reduce opportunity cost and limit slow drawdown behavior.
7. Drawdown control behavior
A key feature is its defensive trading mode. After a loss, the strategy can temporarily reduce activity by waiting before taking new trades. It can also stop initiating new positions if overall drawdown exceeds a defined tolerance relative to the equity peak. The goal is to avoid “death by a thousand cuts” during noisy regimes.
8. Best conditions
It performs best when markets transition from consolidation into sustained trends, especially on liquid instruments where breakouts can carry through. It is typically more stable when volatility is present but not chaotic, and when trending conditions persist long enough for trailing protection to work.
9. When to avoid
Avoid using it in tight, mean-reverting ranges and during highly erratic whipsaw periods where breakouts frequently fail. In these phases, even well-filtered breakout systems can accumulate small losses and trigger defensive pauses.
10. What to expect
Expect fewer but higher-quality entries compared to basic breakout systems. Many trades will be small wins or small losses, with occasional larger winners when a strong trend develops. The strategy is designed to prioritize smoother equity behavior over maximum trade frequency.
Bollinger Reversal + Swing ExitBollinger Reversal + Swing Exit is a mean-reversion strategy designed to capture short-term reversals when price stretches to an extreme and then shows the first signs of rejection.
1. Core idea
This strategy assumes that sharp deviations from a central equilibrium are often followed by a corrective move back toward normal pricing. It does not chase trends. Instead, it waits for price to reach an extreme area and then looks for a controlled turn back in the opposite direction.
2. Signal concept
A setup starts only after price reaches an outer extreme zone. The trade is taken only if the market immediately shows a reversal-type reaction rather than continuing to push outward. This reduces entries that happen too early while the move is still accelerating.
3. Long and short behavior
Long trades are allowed only after a downside extreme has been reached and price begins to recover.
Short trades are allowed only after an upside extreme has been reached and price begins to fade.
The goal is to enter close enough to the extreme to keep risk contained, while still requiring evidence that the turn has started.
4. Risk control
Risk is defined tightly. The protective stop is placed where the reversal thesis is clearly invalidated, so the strategy is built to accept small losses when the market does not revert and continues expanding in the same direction.
5. Exit logic
Profits are taken based on local market structure rather than fixed targets. Once in a position, the strategy looks for a clear exhaustion point in the move and closes the trade when the short-term swing structure signals that the rebound or pullback has likely completed. This aims to capture the core of the corrective move without overstaying.
6. Best conditions
This approach performs best in range-bound markets, during consolidations, and in instruments that frequently oscillate around a fair value. It is also useful after impulsive spikes when the move becomes overstretched and liquidity rebalances.
7. When to avoid
Avoid using it during strong, clean trends and during persistent breakout phases, where extremes can keep extending and reversals can fail repeatedly. In these conditions, mean-reversion setups can be systematically punished.
8. What to expect
Expect a higher trade frequency than trend-following systems, with many small-to-medium wins and occasional sharp losses when the market refuses to revert. The edge comes from disciplined entries only after extremes and quick exits when structure signals completion.
Turtle Multi-Market StrategyTurtle Multi-Market Strategy is a breakout trend-following approach designed to stay aligned with the dominant market direction and participate only when price proves it has enough strength to escape consolidation.
1. Core idea
This strategy treats trends as permission and breakouts as proof.
The market must already show a clear directional bias before any trade is considered. Only when price is consistently positioned on the correct side of the dominant direction does the strategy become active. This avoids engagement during random price movement and low-quality conditions.
2. Entry logic
Trades are initiated only when price demonstrates expansion beyond a well-defined recent range, signaling that the market may be transitioning from consolidation to directional movement.
An optional confirmation behavior can be used to avoid reacting to isolated spikes. In this case, the strategy waits for additional price acceptance beyond the breakout area before committing, favoring reliability over immediacy.
3. Trend quality filter
The strategy can optionally require evidence of genuine trend strength before allowing entries. When this filter is active, breakouts occurring in weak or indecisive environments are ignored. This helps reduce exposure during sideways markets where breakouts are more likely to fail.
4. Risk and position sizing
Risk is handled dynamically. Trade size adapts to current market volatility so that risk remains proportional across different instruments and volatility regimes. This makes the strategy suitable for use on crypto, commodities, indices, and forex without manual recalibration for each market.
5. Exit and trade management
Exits are protective and progressive.
A protective stop defines the initial risk and then adjusts as price moves favorably. As the trend develops, the stop follows price action, aiming to lock in gains while still allowing room for natural pullbacks.
An additional safety mechanism can be enabled to exit if the market decisively re-enters the long-term equilibrium zone. This reduces exposure during sharp reversals but may also shorten otherwise valid trends.
6. How to use it
This strategy is best applied to liquid markets where sustained trends can emerge and where breakouts carry informational value, such as major crypto pairs, gold, indices, and liquid forex pairs.
It performs best during transitions from consolidation to expansion and during trending phases. It is not designed for mean-reverting or range-bound environments.
7. Practical workflow
Apply it on higher intraday or swing-oriented timeframes.
Keep the trend strength filter enabled in mixed or uncertain market conditions.
Use confirmation on instruments prone to false breakouts or during news-sensitive sessions.
If price repeatedly fails to sustain movement and returns to equilibrium, standing aside is part of correct execution.
8. What to expect
Expect fewer trades rather than constant activity. Many positions will end with small controlled losses, while profitable trades tend to come from sustained directional moves. The edge lies in participation during expansion phases, not in high win rates or frequent signals.
EMA 1 & SALMA Intersection StrategyTrading Strategy: EMA 1 & SALMA Crossover System
This strategy is a Trend-Following system that focuses on the direct interaction between the price (represented by EMA 1) and a smoothed trendline (SALMA). Instead of relying on the color changes of the indicator, it uses mechanical crossover signals to enter and exit trades.
1. Indicators Used
EMA 1 (Exponential Moving Average): Since the period is 1, it effectively represents the Current Price. It reacts instantly to every market move.
SALMA v3.0 (Smoothed Adaptive Lattice Moving Average): A double-smoothed moving average that acts as the "Base Line" or "Trend Support/Resistance."
RSI (Relative Strength Index): Used as a Momentum Filter to ensure we don't trade against the market's strength.
2. Buy (Long) Entry Rules
You enter a Long position when the following conditions are met:
The Crossover: The EMA 1 (Price) crosses ABOVE the SALMA line. This indicates that the short-term momentum is shifting higher than the average trend.
The Filter (RSI): The RSI must be above 50. This confirms that the buyers are in control and the upward move has enough strength.
3. Sell (Short) Entry Rules
You enter a Short position when the following conditions are met:
The Crossunder: The EMA 1 (Price) crosses BELOW the SALMA line. This indicates a breakdown in price action.
The Filter (RSI): The RSI must be below 50. This confirms that the sellers are dominating and the downward momentum is real.
4. Key Advantages of This System
Objectivity: You don't guess based on the color of the line; you wait for a clear physical break (cross) of the line.
Precision: By using EMA 1, you get the earliest possible entry signal compared to slower moving averages.
False Signal Protection: The RSI 50 filter prevents you from entering "weak" trades where the price crosses the line but lacks the volume or momentum to continue.
extradestrategy super BTCUSD M15cocok untuk btc usd tidak di perjual belikan harap tidak menggunakan sembarangan
Trend Pulse Channel StrategyOverview
Trend Pulse Channel Strategy is a long-only trend-following breakout strategy built around an adaptive multi-pole smoothing filter and a volatility-adjusted price channel.
The strategy is designed to participate in sustained directional moves by entering only when price confirms momentum strength beyond a dynamic upper boundary, while avoiding mean-reversion and low-quality consolidation phases.
This script is published as a strategy and includes realistic backtesting assumptions for position sizing, commissions, and slippage.
Core Concept
At the heart of the strategy is a multi-pole adaptive EMA-based filter, inspired by advanced digital signal smoothing techniques.
Using multiple poles allows the filter to reduce noise while preserving responsiveness to genuine trend changes.
To adapt the channel width to changing market conditions, the strategy applies the same filtering logic to True Range, producing a volatility-aware envelope rather than a static or fixed-percentage band.
This combination allows the strategy to:
Track directional bias using a smoothed central filter
Adjust channel width dynamically based on market volatility
Trigger entries only when price expansion confirms trend strength
Entry Logic
A long position is opened when:
Price crosses above the upper channel band
The signal occurs within the user-defined date range
This condition represents a volatility-confirmed breakout aligned with the prevailing directional filter.
Exit Logic
The long position is closed when:
Price crosses back below the upper band
This exit logic aims to stay in trending moves while exiting when upside momentum weakens.
The strategy does not open short positions by design.
Inputs and Defaults
The default inputs are selected to balance smoothness, responsiveness, and stability:
Source (HLC3): Reduces single-price noise by averaging high, low, and close
Period (144): Defines the primary smoothing horizon of the adaptive filter
Poles (4): Controls the smoothness vs. responsiveness trade-off
Range Multiplier (1.414): Scales the volatility envelope using filtered True Range
Reduced Lag (optional): Applies lag compensation to improve responsiveness
Fast Response (optional): Blends multi-pole and single-pole filters for quicker reaction at the cost of smoothness
All inputs are fully configurable and can be adjusted to suit different instruments and timeframes.
Risk Management & Position Sizing
The strategy uses:
Position size: 10% of equity per trade
No pyramiding
Long positions only
This sizing approach is intended to reflect sustainable risk exposure rather than aggressive capital deployment. Users may further adjust position size based on their own risk tolerance.
Backtesting Assumptions
The strategy is tested using :
Initial capital: 10,000
Commission: 0.1%
Slippage: 1 tick
Order fill model: Standard OHLC
These settings are chosen to provide more realistic performance estimates compared to idealized backtests.
This strategy is best suited for :
Trend-oriented markets
Higher timeframes where breakouts are more reliable
Users seeking systematic trend participation rather than frequent scalping
In sideways or range-bound market conditions, price may cross the channel boundaries frequently.
This can result in a higher number of entry and exit signals that do not develop into sustained trends.
For this reason, the strategy should be used with an understanding of basic technical analysis concepts, including market structure, trend identification, and consolidation behavior.
It is intended as a decision-support tool, not a standalone trading system.
Users—whether beginners or experienced traders—should avoid relying solely on this strategy and are encouraged to combine it with broader market context and additional analysis methods.
Disclaimer
This script is provided for educational and analytical purposes only. It does not constitute financial advice. Past performance does not guarantee future results.
9 EMA Trend-Flow StrategyThis strategy avoids trading inside the noise and waits for Bitcoin to "coil up" before exploding.
1. Chart Setup
Timeframe: 5 Minutes
Bollinger Bands: Length 20, Standard Deviation 2 (Default).
RSI (Relative Strength Index): Length 14.
EMA (Exponential Moving Average): Length 200 (Trend Filter).
2. The Rules
Long Setup (Buy)
The Trend Filter: Price must be above the 200 EMA.
The Squeeze: The Bollinger Bands must visually contract (narrow), indicating volatility is dying down.
The Trigger: A 5m candle closes strongly above the Upper Bollinger Band.
Confirmation: RSI must be rising and above 50 (but ideally not yet "pegged" at 90+).
Short Setup (Sell)
The Trend Filter: Price must be below the 200 EMA.
The Squeeze: The Bollinger Bands contract.
The Trigger: A 5m candle closes strongly below the Lower Bollinger Band.
Confirmation: RSI must be falling and below 50.
Execution Guide
Entry Technique
Don't enter immediately when the candle touches the band. Wait for the candle close.
Why? Bitcoin frequently "wicks" through bands to trap traders (fakeouts) before reversing. A solid close outside the band confirms momentum.
Exit Strategy (Take Profit)
Target 1 (Conservative): Close 50% of the position when price expands to a fixed risk-reward ratio (e.g., 1.5R).
Target 2 (Runner): Keep the remaining position open as long as price "walks the band" (stays outside or touching the outer band). Close the rest when a candle finally closes back inside the Bollinger Bands.
Stop Loss
Placement: Place your Stop Loss (SL) slightly below the Middle Band (the 20 SMA) at the time of entry.
Trailing: As the price moves in your favor, move your SL to trail the Middle Band.
225 SMA CrossoverWell-known strategy from Zahlengraf from the Mauerstrassenwetten subreddit for you to test yourself.
You can change the length of the SMA and whether to trade long, short or both directions.
Kairos Bands [v1.1]Overview
The Kairos Bands Strategy is a highly modular trading system designed to identify high probability entry points based on volatility exhaustion and momentum shifts... It is built with a proprietary core algorithm that detects when price has extended too far from its mean, but it is wrapped in a Confluence Cloud that allows the user to filter these signals through nine different secondary indicators...
This is not just a static strategy... It is a framework that allows you to build your own edge by toggling specific filters on and off to match current market conditions...
1... The Chameleon Feature (Trend or Reversal)
One of the most powerful features of Kairos Bands is the Inverse Trades logic...
Reversal Mode (Default): By default, the strategy looks for price exhaustion... It buys when the market is oversold and sells when the market is overbought... This is ideal for ranging markets or catching tops and bottoms...
Trend Following Mode (Inversed): By checking the Inverse Trades box in the settings, the logic flips completely... A Buy signal becomes a Sell and vice versa... This transforms the strategy into a breakout or trend following system, entering trades in the direction of the momentum rather than against it...
2... The Confluence Cloud
While the core trigger is based on proprietary volatility calculations, the user has full control over how strictly those trades are filtered... You can toggle any of the following 9 momentum filters independently for both Long and Short setups...
RSI (Relative Strength Index)
Stochastic Oscillator
CCI (Commodity Channel Index)
Williams %R
MFI (Money Flow Index)
CMO (Chande Momentum Oscillator)
Fisher Transform
Ultimate Oscillator
ROC (Rate of Change)
For example, you can require RSI and MFI to agree with the main signal for Longs, but only require Stochastic for Shorts... This allows for granular tuning...
3... Trend Bias & Time Management
To further refine entries, the strategy includes:
EMA Trend Filter: An optional dual EMA system (Fast vs Slow) that forces the strategy to only trade in the direction of the dominant trend...
Precision Time Filtering: You can define exact start and end times (down to the minute) for entries...
No Trade Zone (NTZ): A specific time window where the strategy is forbidden from holding positions... If a trade is open when the NTZ begins, it is immediately force closed to avoid volatility events or market closes...
4... Risk Management
The strategy moves away from vague percentage based stops and uses precision point based targeting...
Fixed Points: Set your Take Profit and Stop Loss in exact price points...
Signal Skipping: An optional feature to cool down the strategy after a trade closes, forcing it to skip a set number of subsequent signals to avoid over trading...
5... Professional Analytics Dashboard
The visual overlay provides a detailed Heads Up Display (HUD) containing institutional grade metrics...
Strategy Grade: An automatic A through F grading system based on the Win Rate Differential (how much better the strategy performs compared to a breakeven coin flip)...
Streak Analysis: Tracks the maximum and average consecutive wins and losses to help you understand the psychological drawdown risk...
Rolling PnL: A secondary dashboard tracks your hypothetical Net PnL over the last 7 trading days and the last 12 months, giving you a clear view of short term and long term performance...
Daily High/Low Breakout Strategy v2Long and Short trade signal strategy, connects via API key to any exchange, can be used as an indicator. Based on the break of maximum and minimum levels. preferred timeframe 5 minutes.
Daily High Breakout Strategy v2Long trade signal strategy, connects via API key to any exchange, can be used as an indicator. Based on breakout, rebound from daily highs.
Ribbon Cross Strategy This strategy uses a simple moving-average ribbon crossover system with a customizable entry filter. You can choose whether trades trigger near the fast or slow average, allowing flexibility in capturing early or confirmed trend moves.
It’s best suited for index trading on intraday timeframes , helping identify short-term trend reversals and continuations with clear visual cues and backtestable logic.
Nifty-50 Futures trading ideas with RSI and ADX FilterNifty Futures @15M is a trend-following strategy derived from the Savitzky Flow Bands methodology by ChartPrime , adapted into a complete strategy with structured trade execution and risk controls.
The strategy identifies directional bias using a Savitzky-smoothed price structure and executes trades based on trend changes or continuation, depending on the selected entry mode.
Configurable Entry Modes are : 1. Change Only (trend reversal based) 2.Continuation Allowed (trend follow-through).
Optional ADX + DI and RSI filters help validate trend strength and avoid unfavorable market conditions.
Risk management features include configurable Stop-Loss and Take-Profit, ATR-based exits, trailing stop, and separate maximum loss per trade (₹) for long and short positions.
Date and session filters are provided for controlled backtesting.
This script is published for educational and analytical purposes only and is intended for research and backtesting, not as a trading signal or investment recommendation.
Credits:
Original indicator concept: Savitzky Flow Bands by ChartPrime
Strategy conversion & enhancements: @Alpha_Trinity
Estrategia_XAU_1m_NYEstrategia para el par XAU/USD temporalidad 1 minuto, de 9:30 a 10:00 am New York. Solo media hora al dia.
Strategy for the XAU/USD pair, 1-minute timeframe, from 9:30 to 10:00 am New York. Only half an hour per day.
Recovery Adaptive Strategy [Starbots]🔁 Recovery Adaptive Strategy
Recovery Adaptive Strategy is an advanced, single-position trading strategy designed for professional traders who require adaptive exposure control, dynamic profit targeting, and rule-based recovery mechanics in high-volatility market environments.
The strategy applies a structured loss-streak framework where position sizing and take-profit objectives evolve systematically based on prior trade outcomes, while maintaining strict one-position execution at all times.
🧠 Strategic Framework
This strategy is built around a controlled adaptive execution model:
Only one position is active at any time
Each closed trade directly influences the parameters of the next entry
After a losing trade:
Position size scales according to a defined factor
Take-profit expands proportionally using a configurable multiplier
After a winning trade:
All parameters reset to their base configuration
Scaling progression is capped via a configurable maximum step limit
The methodology is designed to efficiently capitalize on expansion phases, volatility impulses, and directional inefficiencies, making it particularly suitable for high-volatility instruments and regimes.
⚙️ Adaptive Position Management
Position Sizing Modes
Percentage of Equity
Fixed Base Currency Amount (USDT / USD / EUR, etc.)
Each subsequent step applies a configurable size multiplier, enabling precise control over exposure progression across loss streaks.
🎯Dynamic Take-Profit Scaling
Take-profit levels increase automatically with each scaling step
A dedicated TP multiplier allows fine-tuning of profit expansion behavior
All targets are recalculated and updated dynamically while positions are open
Execution Control
Single-position logic (no grid, no concurrent hedging)
Optional forced exit and full reset upon reaching the maximum scaling step
Bar-confirmed execution to avoid signal repainting
📈 Signal Generation & Market Filters
The strategy supports multiple professional-grade entry models, selectable via settings:
MACD (12,26,9)
DMI (14)
RSI (70 / 30)
Stochastic (14,3,3)
Bollinger Bands + RSI
Market Structure (BOS / CHoCH)
Additional execution layers include:
Higher-timeframe signal evaluation
Volatility-based trade filtering
EMA trend alignment
Flat-market detection (optional)
The strategy is optimized for active, volatile markets, where price expansion and follow-through are frequent.
📊 Institutional-Style Analytics & Visualization
Integrated analytics provide full transparency into strategy behavior:
Adaptive Scaling Table
Position size per step
Take-profit expansion per step
Loss-streak hit distribution
On-Chart Execution Labels
Equity Usage Overview
Monthly & Yearly Performance Calendar
Backtest vs. Leverage Projection Dashboard
All dashboards and visual components are optional and configurable.
🧩 Intended Use
This strategy is designed for:
Advanced discretionary traders
Systematic traders
Quantitative research and optimization
High-volatility instruments and environments
It emphasizes structure, adaptability, and execution discipline, rather than static position sizing or fixed targets.
ETH UU Reversion Strategy [Limit]Strategy Overview
The "ETH UU Reversion Strategy" is a sophisticated mean-reversion trading system designed to capture price reversals at standard deviation extremes. Unlike typical strategies that enter trades immediately at market price, this script employs a proprietary **Limit Order Execution Mechanism** combined with volatility filtering to optimize entry prices and reduce slippage.
Originality & Key Features
This script addresses the common pitfalls of standard Bollinger Band strategies by introducing advanced order management logic:
1. Limit Order Execution:** Instead of market orders, the strategy calculates an optimal entry price based on ATR offsets. This allows traders to capitalize on "wicks" and secure better risk-reward ratios.
2. Smart Timeout Logic:To prevent "catching a falling knife," pending orders are automatically cancelled if not filled within a customizable number of bars (default: 15). This ensures orders do not remain active when market structure shifts.
3. Dynamic Risk Recalculation:** Stop Loss (SL) and Take Profit (TP) levels are recalculated at the exact moment of execution using the real-time ATR, ensuring risk parameters adapt to current market volatility.
How to Use
1. Setup: Apply the strategy to ETH/USDT (or other crypto pairs) on 15m or 1h timeframes.
2. Configuration:
* Adjust `BB Length` and `RSI Length` to fit your timeframe.
* Set `Order Timeout` to define how long a pending order should remain active.
* Toggle `Use ADX Filter` to avoid trading against strong trends.
3. *Visuals: The chart displays distinct labels for pending orders (Gray), active entries (Blue/Red), and cancellations, providing full transparency of the strategy's logic.
Risk Disclaimer
This script is for educational and quantitative analysis purposes only. Past performance regarding backtesting or live trading does not guarantee future results. Cryptocurrency trading involves high risk and high volatility. Please use proper risk management and trade at your own discretion.
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Chinese Translation (中文说明)
策略概述
“ETH UU 均值回归策略”是一个旨在捕捉标准差极端位置价格反转的交易系统。与立即以市价入场的典型策略不同,本策略采用独特的**挂单执行机制**结合波动率过滤,以优化入场价格并减少滑点。
原创性与核心功能
本脚本通过引入高级订单管理逻辑,解决了普通布林带策略的常见缺陷:
1. 挂单交易模式: 策略不使用市价单,而是根据 ATR 偏移计算最佳入场价(Limit Orders)。这允许交易者捕捉K线的“影线”,获得更好的盈亏比。
2. 智能超时撤单: 为了防止“接飞刀”,如果挂单在指定K线数内(默认15根)未成交,系统会自动撤单。这确保了当市场结构发生变化时,旧的挂单不会被错误触发。
3. 动态风控重算: 止损和止盈在成交的瞬间根据实时 ATR 重新计算,确保风控参数始终适应当前的市场波动率。
风险提示
本脚本仅供教育和量化分析使用。回测或实盘的过往表现并不预示未来结果。加密货币交易具有极高的风险和波动性,请务必做好仓位管理,并自行承担使用本策略的风险。
Vegas Pro_邀請版Vegas Pro
Access Requirements To access this script, please follow these steps:
Register on MEXC using the link below.
Deposit at least 200 USDT.
Provide your email address to receive access.
Sign up link: www.mexc.com
SmartDCA by TradeAkademiSmartDCA is an advanced position-management strategy built to deliver consistent results even as market conditions shift. Its price-action–driven structure, intelligent DCA scaling model, and multiple entry options provide a powerful automation framework suitable for both beginners and professional traders. With flexible TP/DCA configurations and safety modules such as Smart Take Profit, Risk Reset Exit, and Fail Safe Stop, positions scale more efficiently, risks are managed proactively, and capital remains protected at every stage. SmartDCA is a fully customizable, modern trading engine that offers high adaptability across different assets and timeframes.
The strategy supports five entry methodologies:
ta_default – Opens positions on breakout confirmations based on the selected period’s local highs and lows.
ta_volatility – Uses the same breakout logic while filtering entries that would place the target level outside the system’s defined safety zone.
ta_safety – Extends the volatility model with an additional candle-quality filter, avoiding structurally weak entries and behaving more conservatively.
rsi_based – Generates entries when RSI drops below 30 or rises above 70.
ema_based – Opens positions based on directional shifts in the moving average.
SmartDCA is fully configurable: entry logic, DCA percentage and multiplier, take-profit (TP) settings, maximum DCA steps, order-size mode, and directional preferences can all be tailored to fit any asset, market condition, or timeframe .
Default parameters are optimized for the 30-minute chart.
The strategy also includes three optional protective mechanisms:
Smart Take Profit – Closes profitable trades early when price approaches the target within a configurable proximity, reducing exposure to potential reversal signals.
Risk Reset Exit – After a defined DCA step, the position is closed at breakeven once price returns to the average entry level.
Fail Safe Stop – If the maximum DCA step is reached and recovery fails to occur, the trade is closed at a controlled loss.
All protection modules can be enabled individually and configured to activate only after specific DCA levels, allowing SmartDCA to remain adaptive yet controlled under varying market dynamics.
1-Hour Trend Breakout Strategy (Scaled Entry Version)This strategy is a trend-following system on the Bitcoin 1-hour chart.
It enters in the direction of the market when price breaks an upward or downward trendline, using scaled (partial) entries.
Entry Rules
Go long when price breaks an upward trendline.
Go short when price breaks a downward trendline.
Position size is split into several parts and entered gradually.
Trade Management
When the first take-profit level (TP1) is reached, a portion of the position is closed.
The stop-loss on the remaining position is moved to break-even (entry price) to lock in profits and manage risk.
Performance
Period: 2019-12-16 to 2025-12-07
Total P&L: +2,385%
Maximum Drawdown (MDD): 28%
Win Rate: 79%
Profit Factor: 3.1






















