Smart Trading System v3This strategy is a precision-based trend-following system that leverages multi-timeframe alignment and momentum signals. Entry decisions are made using a blend of moving average pullbacks and oscillator crossovers, triggered only during active trading hours. Exits are governed by trailing volatility thresholds or key indicator reversals, adapting intelligently to the instrument’s behavior while managing risk through position sizing and drawdown constraints.
指標和策略
Best EMA Cross Strategy with TP/SLBest EMA Cross Strategy with TP/SL
🧠 Core Concept:
This strategy combines three exponential moving averages (EMAs) to detect trend shifts and places trades with automatic take profit (TP) and stop loss (SL) levels based on percentage risk management.
📊 Indicators Used:
EMA 20 (Green): Short-term trend (for context only)
EMA 50 (Red): Medium-term trend
EMA 200 (Yellow): Long-term trend baseline
✅ Entry Logic:
🔼 Buy Entry (Long Position):
Triggered when:
EMA 50 crosses above EMA 200 (Golden Cross)
EMA 200 is sloping upward (shows long-term trend confirmation)
This suggests a strong bullish reversal or trend continuation.
🔽 Sell Entry (Short Position):
Triggered when:
EMA 50 crosses below EMA 200 (Death Cross)
EMA 200 is sloping downward (confirms long-term bearish trend)
This signals a potential market downturn or continuation of a bearish trend.
📏 Risk Management Logic:
Stop Loss (SL): Set as a fixed % away from entry price (default: 1%)
Take Profit (TP): Set using a Risk-Reward ratio (default: 2:1)
For example:
If SL = 1%, and RR = 2 → TP = 2%
These are set using strategy.exit() for accurate backtesting.
⚙️ Adjustable Parameters in Settings Panel:
Parameter Default Purpose
EMA 20 Length 20 Used for visual trend support
EMA Fast Length 50 Used in crossover (faster-moving average)
EMA Slow Length 200 Used in crossover (slower-moving average)
Stop Loss % 1.0 Distance from entry for SL
Risk-Reward Ratio 2.0 Multiplier for TP target
🔔 Alerts Included:
You’ll be notified when:
Golden Cross (buy opportunity)
Death Cross (sell opportunity)
Set alerts in TradingView from the Alerts panel.
✅ Best Timeframes:
1H, 4H, or Daily
Avoid using on extremely low timeframes (like 1m or 5m) without modification
📈 Strategy Use Tips:
Combine with support/resistance zones for higher probability entries
Use EMA 20 as a trailing dynamic SR level
Backtest on multiple assets and timeframes with adjusted SL/RR
Look for volume confirmation manually if needed
All backtested and very profitable
Gold Asia Trap StrategyGold Asia Trap Strategy
Gold Asia Trap Strategy is a trading strategy based on price behavior during the Asian session. It observes the price movement between 7:00 and 8:00 AM Bangkok time to determine market direction and sets reference levels for breakout trades from 8:00AM to 8:15 AM.
‼️Warning: This strategy based on price trap at Asia Session, so it:
Works only for Gold - Forex ( FX:XAUUSD ).
Works only on the 15-minute chart (M15).
How to use:
How it works
Required timeframe: ‼️Works only on the 15-minute chart (M15).
Trap zone (7:00 – 8:00 Bangkok time, GMT+7) :
Identifies high/low range during this session.
Determines the H1 candle direction (by comparing open/close).
At 8:15 AM : coloring M15 candle from 8:00 AM to 8:15 AM to orange
Buy if the H1 candle from 7:00 AM to 8:00 AM is bearish, but the M15 candle from 8:00 AM to 8:15 AM fails to break below the low of that H1 candle.
Sell if the H1 candle from 7:00 AM to 8:00 AM is bullish, but the M15 candle from 8:00 AM to 8:15 AM fails to break above the high of that H1 candle.
And, if M15 candle from 8:00 AM to 8:15 AM is failed-breakout candle, it's marked by red-dot at high/low price.
Order management :
Stop-loss: At the highest or lowest price from 7:00 AM to 8:15 AM + Spread based on your broker.
Take-profit: 2R (recommended)
Strategy Settings Used in Backtest
Order Size Type: Fixed size
Order Size: 1 unit
Commission: 0 (can be adjusted in strategy settings)
Slippage: 0 (default, user can modify as needed)
Pyramiding: Off
Initial Capital: $10,000
Currency: USD
Timeframe: M15 only
You can adjust these settings in the Strategy Properties panel to suit your broker conditions or test assumptions.
Footnotes
Please test in demo or backtest environments before using in a live account.
The script does not reuse or replicate any third-party open-source code. It is an original build and logic.
Basic - Relative Strength IndexRSI with a moving average and another moving average to remove false signals and reduce noise.
🖲 Astrabot 1, the Gate 🏁 📡 « 🖲 Astrabot 1, the Gate 🏁 »
is an automated entry and position management tool designed to trade market session openings.
The strategy aims to detect the initial move 1 to 2 minutes before the market opens in order to catch the momentum push.
1. Select your detection tools:
🫀 (D.P.O), 🐚 (M.A.C.D with settings inspired by the Fibonacci sequence), and (un) (Directional Movement Index)
Each tool can be customized in the settings menu.
2. Set the opening time
Example: set the schedule from 8:58 AM to 9:00 AM for the European session.
3. Choose whether to activate Breakeven, 🦸🏻♂️ SUPER ⛔️: a wide dynamic stop loss using Supertrend, and 👷🏼 constructortrail: a tighter dynamic stop loss also based on Supertrend.
Each of the 🦸🏻♂️ 👷🏼 settings can be customized in the configuration menu.
4. Enter your TP, SL, BE trigger (threshold to trigger breakeven), BE offset (distance from your entry), TRAIL trigger (threshold to activate 👷🏼 constructortrail) — all in ticks.
5. Choose whether to enable confirmation filters: 🔃 EMA trend, 📶 volume filter, ↕️ ATR filter.
Each of these tools can be customized in the settings menu.
6. Backtest again and again. Fine-tune, review, and share your results.
Your success is my reward.
Astranaute alias Transurfeur.
BankNifty 9:15 Breakout - Fixed Qty 30. 🎯 Strategy Objective
To trade the Bank Nifty Futures based on the breakout of the 9:15 AM candle (15-min) using a fixed quantity of 30 lots, with intraday reversal and exit logic.
P.F.Algo_V63 09051. Purpose & Original Edge
All-in-one pipeline combining:
6 independent entry logics (volatility breakout, fractals, Bollinger + SMA pullback, linear spread, Opening Range Breakout, Donchian + Chikou confirmation).
11 stackable filters (from short-term MA direction to macro relative-strength).
A parametric risk-management module (static / dynamic SL-TP, break-even, fractal trailing, losing-bar cutoff).
An MT5 connector (via PineConnector) that pushes every order with pre-calculated SL/TP from TradingView.
What makes V63 unique? Inter-market filters (ETF/ratio-based), ATR regime control, and dynamic Fibonacci windows—features not found in public scripts.
2. How It Works – source remains private
Block Logic Key Conditions (excerpt)
Entries • Delta: fixed limit around price.
• Fractal: break of N = 2 fractal.
• Boll + SMA: return to band / MA-50.
• Linear: Instrument / Benchmark spread & regression slope.
• ORB: breakout of first X minutes.
• Donchian + Chikou: channel break + Ichimoku validation. One trade per eligible signal.
“Allowed” Filter Sessions, dynamic Fib-265-day zones on HTF closes, ATR regime (EMA10 < EMA20), max signal age. Ensures a tradable context.
Technical Filters 1-11 MA direction, HTF PMax, adaptive QQE, price vs. “Red Line”, RSI > EMA, WMA/SMA cross on external asset, Macro RS on 10-20 instruments. Cuts noise & over-trading.
Risk Engine 3 SL modes, 4 TP modes, 4 BE/TSL modes, multi-TF fractal trailing, auto-stop after N losing bars. Protects capital and trader psychology.
MT5 Alerts Format: LicenseID,buy/sell,Symbol,sl=?,tp=?,risk=? Enables live execution without extra scripting.
3. Default Back-test Settings
Assumption Value
Starting balance € 10 000
Risk per trade 1 % (percent-of-equity)
Commission 0.05 %
Slippage 0.5 pip
Sample size 360 + trades over ~6 years (DAX40 & BTC presets)
These defaults suit an average retail trader. Adapt to your own market and cost structure.
4. Quick-Start Guide
Select “Entry Type” in Inputs, then enable/disable desired filters.
Confirm “Entry Allowed” label is 🟢 before arming alerts.
Configure Risk Management:
SL Mode: %, Red Line (PMax) or off.
TP Mode: fixed, ratio, or tied to Red Line.
Enter LicenseID & MT5 Symbol so the connector can receive orders.
Run a full back-test (200 + trades recommended), then switch to Paper before going live.
5. Limitations & Risk Warning
No guarantee of future performance. Historical results do not predict future returns.
Market conditions and transaction costs may differ from the assumptions above.
Educational use only; you remain fully responsible for any financial loss incurred.
No advertising, external links or solicitations included (complies with House Rule #2).
6. Changelog — V63 vs V62
New Feature Expected Impact
Dynamic Fibonacci Range Filter Blocks entries at extreme range edges.
ATR-EMA Regime Control Suspends trading in compressed volatility.
Losing-Bar Counter Prevents late-cycle entries; limits “late-entry bias”.
Enhanced MT5 Connector Adds risk parameter to each alert payload.
“One block at a time, one edge at a time.” – P.F.Algo V63
#AlgoTrading #TradingViewStrategy #PineScript #ClosedSource #RiskManagement #VolatilityBreakout #FractalTrading #DonchianChannel #OpeningRangeBreakout #IntermarketAnalysis #RelativeStrength #ATRRegime #Fibonacci #MT5Connector #Backtesting #Automation #QuantitativeTrading
RSI + MACD Cross StrategyRSI + MACD Cross Strategy (No Trailing SL)
When your trade goes into profit, the best thing to do is to move your Stop Loss to a logical point behind the most recent swing low or swing high, depending on whether you're in a Buy or Sell position. This way, if the market reverses, you’ll at least secure the profit you had up to that point.
Gold Breakout Strategy - RR 4Strategy Name: Gold Breakout Strategy - RR 4
🧠 Main Objective
This strategy aims to capitalize on breakouts from the Donchian Channel on Gold (XAU/USD) by filtering trades with:
Volume confirmation,
A custom momentum indicator (LWTI - Linear Weighted Trend Index),
And a specific trading session (8 PM to 8 AM Quebec time — GMT-5).
It takes only one trade per day, either a buy or a sell, using a fixed stop-loss at the wick of the breakout candle and a 4:1 reward-to-risk (RR) ratio.
📊 Indicators Used
Donchian Channel
Length: 96
Detects breakouts of recent highs or lows.
Volume
Simple Moving Average (SMA) over 30 bars.
A breakout is only valid if the current volume is above the SMA.
LWTI (Linear Weighted Trend Index)
Measures momentum using price differences over 25 bars, smoothed over 5.
Used to confirm trend direction:
Buy when LWTI > its smoothed version (uptrend).
Sell when LWTI < its smoothed version (downtrend).
⏰ Time Filter
The strategy only allows entries between 8 PM and 8 AM (GMT-5 / Quebec time).
A timestamp-based filter ensures the system recognizes the correct trading session even across midnight.
📌 Entry Conditions
🟢 Buy (Long)
Price breaks above the previous Donchian Channel high.
The current channel high is higher than the previous one.
Volume is above its moving average.
LWTI confirms an uptrend.
The time is within the trading session (20:00 to 08:00).
No trade has been taken yet today.
🔴 Sell (Short)
Price breaks below the previous Donchian Channel low.
The current channel low is lower than the previous one.
Volume is above its moving average.
LWTI confirms a downtrend.
The time is within the trading session.
No trade has been taken yet today.
💸 Trade Management
Stop-Loss (SL):
For long entries: placed below the wick low of the breakout candle.
For short entries: placed above the wick high of the breakout candle.
Take-Profit (TP):
Set at a fixed 4:1 reward-to-risk ratio.
Calculated as 4x the distance between the entry price and stop-loss.
No trailing stop, no break-even, no scaling in/out.
🎨 Visuals
Green triangle appears below the candle on a buy signal.
Red triangle appears above the candle on a sell signal.
Donchian Channel lines are plotted on the chart.
The strategy is designed for the 5-minute timeframe.
🔄 One Trade Per Day Rule
Once a trade is taken (buy or sell), no more trades will be executed for the rest of the day. This prevents overtrading and limits exposure.
Livermore-Seykota Breakout StrategyStrategy Name: Livermore-Seykota Breakout Strategy
Objective: Execute breakout trades inspired by Jesse Livermore, filtered by trend confirmation (Ed Seykota) and risk-managed with ATR (Paul Tudor Jones style).
Entry Conditions:
Long Entry:
Close price breaks above recent pivot high.
Price is above main EMA (EMA50).
EMA20 > EMA200 (uptrend confirmation).
Current volume > 20-period SMA (volume confirmation).
Short Entry:
Close price breaks below recent pivot low.
Price is below main EMA (EMA50).
EMA20 < EMA200 (downtrend confirmation).
Current volume > 20-period SMA.
Exit Conditions:
Stop-loss: ATR × 3 from entry price.
Trailing stop: activated with offset of ATR × 2.
Strengths:
Trend-aligned entries with volume breakout confirmation.
Dynamic ATR-based risk management.
Inspired by principles of three legendary traders.
Intraday Trading Hit and Run# Strategy Overview
This is a short-term trading system designed for quick entries/exits (intraday). It uses multiple technical indicators to identify momentum trades in the direction of the trend, with built-in risk management through trailing stops.
# Main Components
1. Trend Filter
Uses two EMAs (10-period "fast" blue line and 100-period "slow" red line)
Only trades when:
Long: Price AND fast EMA are above slow EMA
Short: Price AND fast EMA are below slow EMA
2. Main Signal
////Stochastic Oscillator (14-period):
Buy when %K line crosses above %D line
Sell when %K crosses below %D
////Trend Strength Check
Smoothed ADX indicator (5-period EMA of ADX):
Requires ADX value ≥ 25 to confirm strong trend
3. Confirmation using Volume Filter (Optional)
Checks if current volume is 1.5× greater than 20-period average volume
# Entry Rules
A trade is only taken when:
All 3 indicators agree (EMA trend, Stochastic momentum, ADX strength)
Volume filter is satisfied (if enabled)
# Exit Rules
1. Emergency Exit:
Close long if price drops below fast EMA
Close short if price rises above fast EMA
2. Trailing Stop:
Actively protects profits by moving stop-loss:
Maintains 0.1% distance from highest price (longs) or lowest price (shorts)
# Risk Management
Only use 10% of account per trade
Includes 0.04% commission cost in calculations
All trades monitored with trailing stops
# How It Operates
The strategy looks for strong, high-volume momentum moves in the direction of the established trend (as determined by EMAs). It jumps in quickly ("hit") when conditions align, then protects gains with an automatic trailing stop ("run"). Designed for fast markets where trends develop rapidly.
You can use it on 15m, 1h or 4h
RSI Longing StrategyMaster mean-reversion with pinpoint entries when markets dip and quick exits as price snaps back. A simple on-chart status panel shows exactly when your buy signal is live—no guesswork, just actionable pullbacks.
SuperBollingerTrend MACD ADXWrote this, but it didn't work so well
I used MACD ADX and SuperBollingerTrend
SAYYAM88– Test Phase 3This trading strategy combines trend-based indicators with dynamic support and resistance zones to identify optimal entry and exit signals. It is particularly suited for volatile markets such as crypto and forex. Signals are visually displayed on the chart. Important note: This strategy is currently in Test Phase 3 and does not constitute financial advice or a trading recommendation.
CANX MA Crossover© CanxStixTrader
Moving average crossover systems measure drift in the market. They are great strategies for time-limited traders. KEEP IT SIMPLE
This strategy works both for buys and sells using the reaction line to guide your position against the reactions.
HOW TO USE THE INDICATOR
1) Choose your market and timeframe.
2) Choose the length.
3) Choose the multiplier.
4) Choose if the strategy is long-only or bidirectional (longs & shorts).
TIPS
The strategy works best in bullish markets as that is the primary direction that market such as stocks, indexes and metals like to move.
- Increase the multiplier to reduce whipsaws
- Increase the length to take fewer trades
- Decrease the length to take more trades
- Try a Long-Only strategy to see if that performs better.
The base set up when you load the indicator is for the 1 minute chart on gold. We found that it also works well on the US Indexes. For other markets you may need to change the length and multiplier to suit the market and back test its results.
50-Week High Entry / 40-Week Low Exit StrategyThis is a simple long term strategy
Entry condition : You will enter the market when the stock’s current high exceeds its 50-week high. This condition enables you to identify upward momentum and capitalize on potential price surges.
Exit condition
Conversely, you will exit the market when the stock’s current low drops below its 40-week low. This exit strategy helps protect your capital by ensuring you withdraw from losing positions before further declines in price occur.
This trading strategy relies on the Donchian Channel indicator to monitor the relevant 50-week high and 40-week low levels. Given that this is a weekly trading strategy, all backtesting will be conducted using weekly timeframes.
VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL PlotsHere’s a quick user-guide to get you up and running with your “VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL Plots” script in TradingView:
⸻
1. Installing the Script
1. Open TradingView, go to Pine Editor (bottom panel).
2. Paste in your full Pine-v6 code and hit Add to chart.
3. Save it (“Save as…”): give it a memorable name (e.g. “VWAP Breakout+EMAs”).
⸻
2. Configuring Your Inputs
Once it’s on the chart, click the ⚙️ Settings icon to tune:
Setting Default What it does
ATR Length 14 Period for average true range (volatility measure)
ATR Multiplier for Stop 1.5 How many ATRs away your stop-loss sits
TP1 / TP2 Multipliers (ATR) 1.0 / 2.0 Distance of TP1 and TP2 in ATR multiples
Show VWAP / EMAs On Toggles the blue VWAP line & EMAs (100/34/5)
Full Cycle Range Points 200 Height of the shaded “cycle zone”
Pivot Lookback 5 How many bars back to detect a pivot low
Round Number Step 500 Spacing of your dotted horizontal lines
Show TP/SL Labels On Toggles all the “ENTRY”, “TP1”, “TP2”, “STOP” tags
Feel free to adjust ATR multipliers and cycle-zone size based on the instrument’s typical range.
⸻
3. Reading the Signals
• Long Entry:
• Trigger: price crosses above VWAP
• You’ll see a green “Buy” tag at the low of the signal bar, plus an “ENTRY (Long)” label at the close.
• Stop is plotted as a red dashed line below (ATR × 1.5), and TP1/TP2 as teal and purple lines above.
• Short Entry:
• Trigger: price crosses below VWAP
• A red “Sell” tag appears at the high, with “ENTRY (Short)” at the close.
• Stop is the green line above; TP1/TP2 are dashed teal/purple lines below.
⸻
4. Full Cycle Zone
Whenever a new pivot low is detected (using your Pivot Lookback), the script deletes the old box and draws a shaded yellow rectangle from that low up by “Full Cycle Range Points.”
• Use this to visualize the “maximum expected swing” from your pivot.
• You can quickly see whether price is still traveling within a normal cycle or has overstretched.
⸻
5. Round-Number Levels
With Show Round Number Levels enabled, you’ll always get horizontal dotted lines at the nearest multiples of your “Round Number Step” (e.g. every 500 points).
• These often act as psychological support/resistance.
• Handy to see confluence with VWAP or cycle-zone edges.
⸻
6. Tips & Best-Practices
• Timeframes: Apply on any intraday chart (5 min, 15 min, H1…), but match your ATR length & cycle-points to the timeframe’s typical range.
• Backtest first: Use the Strategy Tester tab to review performance, tweak ATR multipliers or cycle size, then optimize.
• Combine with context: Don’t trade VWAP breakouts blindly—look for confluence (e.g. support/resistance zones, higher-timeframe trend).
• Label clutter: If too many labels build up, you can toggle Show TP/SL Labels off and rely just on the lines.
⸻
That’s it! Once you’ve added it to your chart and dialed in the inputs, your entries, exits, cycle ranges, and key levels will all be plotted automatically. Feel free to experiment with the ATR multipliers and cycle-zone size until it fits your instrument’s personality. Happy trading!
EMA 10/20/50 Alignment Strategy### 📘 **Strategy Name**
**EMA 10/20/50 Trend Alignment Strategy**
---
### 📝 **Description (for Publishing)**
This strategy uses the alignment of Exponential Moving Averages (EMAs) to identify strong bullish trends. It enters a long position when the short-term EMA is above the mid-term EMA, which is above the long-term EMA — a classic sign of trend strength.
#### 🔹 Entry Criteria:
* **EMA10 > EMA20 > EMA50**: A bullish alignment that signals momentum in an upward direction.
* The strategy enters a **long position** when this alignment occurs.
#### 🔹 Exit Criteria:
* The long position is closed when the EMA alignment breaks (i.e., the trend weakens or reverses).
#### 🔹 Additional Features:
* Includes a **date range filter**, allowing you to backtest the strategy over a specific period.
* Uses **100% of available capital** for each trade (position size auto-scales with account balance).
* No short positions, stop loss, or take profit are applied — this is a trend-following strategy meant to ride bullish moves.
---
### ✅ Best For:
* Traders looking for a **simple, trend-based entry system**
* Testing price momentum strategies during specific market regimes
* Visualizing EMA stacking patterns in historical data
Smart Fib StrategySmart Fibonacci Strategy
This advanced trading strategy combines the power of adaptive SMA entries with Fibonacci-based exit levels to create a comprehensive trend-following system that self-optimizes based on historical market conditions. Credit goes to Julien_Eche who created the "Best SMA Finder" which received an Editors Pick award.
Strategy Overview
The Smart Fibonacci Strategy employs a two-pronged approach to trading:
1. Intelligent Entries: Uses a self-optimizing SMA (Simple Moving Average) to identify optimal entry points. The system automatically tests multiple SMA lengths against historical data to determine which period provides the most robust trading signals.
2. Fibonacci-Based Exits: Implements ATR-adjusted Fibonacci bands to establish precise exit targets, with risk-management options ranging from conservative to aggressive.
This dual methodology creates a balanced system that adapts to changing market conditions while providing clear visual reference points for trade management.
Key Features
- **Self-Optimizing Entries**: Automatically calculates the most profitable SMA length based on historical performance
- **Adjustable Risk Parameters**: Choose between low-risk and high-risk exit targets
- **Directional Flexibility**: Trade long-only, short-only, or both directions
- **Visualization Tools**: Customizable display of entry lines and exit bands
- **Performance Statistics**: Comprehensive stats table showing key metrics
- **Smoothing Option**: Reduces noise in the Fibonacci bands for cleaner signals
Trading Rules
Entry Signals
- **Long Entry**: When price crosses above the blue center line (optimal SMA)
- **Short Entry**: When price crosses below the blue center line (optimal SMA)
### Exit Levels
- **Low Risk Option**: Exit at the first Fibonacci band (1.618 * ATR)
- **High Risk Option**: Exit at the second Fibonacci band (2.618 * ATR)
Strategy Parameters
Display Settings
- Toggle visibility of the stats table and indicator components
Strategy Settings
- Select trading direction (long, short, or both)
- Choose exit method (low risk or high risk)
- Set minimum trades threshold for SMA optimization
SMA Settings
- Option to use auto-optimized or fixed-length SMA
- Customize SMA length when using fixed option
Fibonacci Settings
- Adjust ATR period and SMA basis for Fibonacci bands
- Enable/disable smoothing function
- Customize Fibonacci ratio multipliers
Appearance Settings
- Modify colors, line widths, and transparency
Optimization Methodology
The strategy employs a sophisticated optimization algorithm that:
1. Tests multiple SMA lengths against historical data
2. Evaluates performance based on trade count, profit factor, and win rate
3. Calculates a "robustness score" that balances profitability with statistical significance
4. Selects the SMA length with the highest robustness score
This ensures that the strategy's entry signals are continuously adapting to the most effective parameters for current market conditions.
Risk Management
Position sizing is fixed at $2,000 per trade, allowing for consistent exposure across all trading setups. The Fibonacci-based exit system provides two distinct risk management approaches:
- **Conservative Approach**: Using the first Fibonacci band for exits produces more frequent but smaller wins
- **Aggressive Approach**: Using the second Fibonacci band allows for larger potential gains at the cost of increased volatility
Ideal Usage
This strategy is best suited for:
- Trending markets with clear directional moves
- Timeframes from 4H to Daily for most balanced results
- Instruments with moderate volatility (stocks, forex, commodities)
Traders can further enhance performance by combining this strategy with broader market analysis to confirm the prevailing trend direction.
Breakout Core | by Solid#SignalsBreakout Core | by SolidSignals
General Overview
Breakout Core is an advanced breakout trading strategy designed for Bitcoin (BTC). Optimized for the unique market dynamics following the launch of BlackRock’s Spot ETFs in January 2024, it adapts to Bitcoin’s post-ETF volatility patterns. The strategy’s core strength lies in its low drawdown, achieved through a proprietary time-based signal-filtering algorithm that sets it apart from traditional breakout strategies. Breakout Core offers traders a reliable tool for navigating Bitcoin’s evolving market with reduced risk and enhanced precision.
Mechanisms
Breakout Core combines well-known indicators BB, EMAs, MAs with custom-tuned parameters to improve signal accuracy. Its unique feature is a proprietary time-filter algorithm that prioritizes high-probability breakout signals during specific high-volatility trading hours, derived from market analysis post-ETF launch. This algorithm minimizes false positives, particularly in volatile conditions, by integrating time-based volatility patterns with price action. The result is a robust strategy that optimizes entry and exit points for Bitcoin trading.
Objectives
Breakout Core aims to provide steady returns with controlled risk by targeting Bitcoin’s breakout patterns in the post-ETF market. Its low drawdown, achieved through extensive optimization and proprietary logic, makes it suitable for leverage trading (e.g., 3–5x leverage), balancing growth with capital protection. Tailored for BTC, the strategy equips traders with a precise tool to navigate Bitcoin’s transformed market dynamics.
Backtesting and Parameter Notes
Backtesting was performed using a $10,000 USDT account, risking up to 10% of equity per trade, including 0.06% commission fees and 2-tick slippage, aligned with standard exchange conditions. The strategy report details backtesting results from the launch of BlackRock’s Spot ETFs. These settings are the script’s defaults, ensuring transparency. Traders are encouraged to verify results using TradingView’s Deep Backtest feature to adapt to current market conditions.
Please note: Past performance does not guarantee future results.
Chart and Usage
The chart is clean and intuitive, displaying only Breakout Core’s buy and sell signals for easy interpretation. Parameters are pre-optimized for immediate use, with adjustable Take Profit (TP) and Stop Loss (SL) levels. Traders should validate custom settings via TradingView’s backtesting tools to ensure market compatibility. An integrated Alarm Panel supports API connectivity, providing clear Entry/Exit commands for Long and Short positions, enabling seamless automated trading workflows.
Originality Statement
Breakout Core is an original strategy developed by SolidSignals, leveraging standard indicators (Bollinger Bands, EMAs, MAs) combined with a proprietary time-filter algorithm. No third-party or open-source code is used, ensuring full compliance with TradingView’s originality requirements. The time-filter mechanism, based on post-ETF volatility analysis, distinguishes this strategy from conventional breakout approaches.
Important Disclaimer
Market conditions evolve continuously, and past performance is not indicative of future results. Traders are responsible for validating the strategy’s settings and performance under current market conditions before use.
EMA 12/26 With ATR Volatility StoplossThe EMA 12/26 With ATR Volatility Stoploss
The EMA 12/26 With ATR Volatility Stoploss strategy is a meticulously designed systematic trading approach tailored for navigating financial markets through technical analysis. By integrating the Exponential Moving Average (EMA) and Average True Range (ATR) indicators, the strategy aims to identify optimal entry and exit points for trades while prioritizing disciplined risk management. At its core, it is a trend-following system that seeks to capitalize on price momentum, employing volatility-adjusted stop-loss mechanisms and dynamic position sizing to align with predefined risk parameters. Additionally, it offers traders the flexibility to manage profits either by compounding returns or preserving initial capital, making it adaptable to diverse trading philosophies. This essay provides a comprehensive exploration of the strategy’s underlying concepts, key components, strengths, limitations, and practical applications, without delving into its technical code.
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Core Philosophy and Objectives
The EMA 12/26 With ATR Volatility Stoploss strategy is built on the premise of capturing short- to medium-term price trends with a high degree of automation and consistency. It leverages the crossover of two EMAs—a fast EMA (12-period) and a slow EMA (26-period)—to generate buy and sell signals, which indicate potential trend reversals or continuations. To mitigate the inherent risks of trading, the strategy incorporates the ATR indicator to set stop-loss levels that adapt to market volatility, ensuring that losses remain within acceptable bounds. Furthermore, it calculates position sizes based on a user-defined risk percentage, safeguarding capital while optimizing trade exposure.
A distinctive feature of the strategy is its dual profit management modes:
SnowBall (Compound Profit): Profits from successful trades are reinvested into the capital base, allowing for progressively larger position sizes and potential exponential portfolio growth.
ZeroRisk (Fixed Equity): Profits are withdrawn, and trades are executed using only the initial capital, prioritizing capital preservation and minimizing exposure to market downturns.
This duality caters to both aggressive traders seeking growth and conservative traders focused on stability, positioning the strategy as a versatile tool for various market environments.
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Key Components of the Strategy
1. EMA-Based Signal Generation
The strategy’s trend-following mechanism hinges on the interaction between the Fast EMA (12-period) and Slow EMA (26-period). EMAs are preferred over simple moving averages because they assign greater weight to recent price data, enabling quicker responses to market shifts. The key signals are:
Buy Signal: Triggered when the Fast EMA crosses above the Slow EMA, suggesting the onset of an uptrend or bullish momentum.
Sell Signal: Occurs when the Fast EMA crosses below the Slow EMA, indicating a potential downtrend or the end of a bullish phase.
To enhance signal reliability, the strategy employs an Anchor Point EMA (AP EMA), a short-period EMA (e.g., 2 days) that smooths the input price data before calculating the primary EMAs. This preprocessing reduces noise from short-term price fluctuations, improving the accuracy of trend detection. Additionally, users can opt for a Consolidated EMA (e.g., 18-period) to display a single trend line instead of both EMAs, simplifying chart analysis while retaining trend insights.
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2. Volatility-Adjusted Risk Management with ATR
Risk management is a cornerstone of the strategy, achieved through the use of the Average True Range (ATR), which quantifies market volatility by measuring the average price range over a specified period (e.g., 10 days). The ATR informs the placement of stop-loss levels, which are set at a multiple of the ATR (e.g., 2x ATR) below the entry price for long positions. This approach ensures that stop losses are proportionate to current market conditions—wider during high volatility to avoid premature exits, and narrower during low volatility to protect profits.
For example, if a stock’s ATR is $1 and the multiplier is 2, the stop loss for a buy at $100 would be set at $98. This dynamic adjustment enhances the strategy’s adaptability, preventing stop-outs from normal market noise while capping potential losses.
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3. Dynamic Position Sizing
The strategy calculates position sizes to align with a user-defined Risk Per Trade, typically expressed as a percentage of capital (e.g., 2%). The position size is determined by:
The available capital, which varies depending on whether SnowBall or ZeroRisk mode is selected.
The distance between the entry price and the ATR-based stop-loss level, which represents the per-unit risk.
The desired risk percentage, ensuring that the maximum loss per trade does not exceed the specified threshold.
For instance, with a $1,000 capital, a 2% risk per trade ($20), and a stop-loss distance equivalent to 5% of the entry price, the strategy computes the number of units (shares or contracts) to ensure the total loss, if the stop loss is hit, equals $20. To prevent over-leveraging, the strategy includes checks to ensure that the position’s dollar value does not exceed available capital. If it does, the position size is scaled down to fit within the capital constraints, maintaining financial discipline.
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4. Flexible Capital Management
The strategy’s dual profit management modes—SnowBall and ZeroRisk—offer traders strategic flexibility:
SnowBall Mode: By compounding profits, traders can increase their capital base, leading to larger position sizes over time. This is ideal for those with a long-term growth mindset, as it harnesses the power of exponential returns.
ZeroRisk Mode: By withdrawing profits and trading solely with the initial capital, traders protect their gains and limit exposure to market volatility. This conservative approach suits those prioritizing stability over aggressive growth.
These options allow traders to tailor the strategy to their risk tolerance, financial goals, and market outlook, enhancing its applicability across different trading styles.
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5. Time-Based Trade Filtering
To optimize performance and relevance, the strategy includes an option to restrict trading to a specific time range (e.g., from 2018 onward). This feature enables traders to focus on periods with favorable market conditions, avoid historically volatile or unreliable data, or align the strategy with their backtesting objectives. By confining trades to a defined timeframe, the strategy ensures that performance metrics reflect the intended market context.
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Strengths of the Strategy
The EMA 12/26 With ATR Volatility Stoploss strategy offers several compelling advantages:
Systematic and Objective: By adhering to predefined rules, the strategy eliminates emotional biases, ensuring consistent execution across market conditions.
Robust Risk Controls: The combination of ATR-based stop losses and risk-based position sizing caps losses at user-defined levels, fostering capital preservation.
Customizability: Traders can adjust parameters such as EMA periods, ATR multipliers, and risk percentages, tailoring the strategy to specific markets or preferences.
Volatility Adaptation: Stop losses that scale with market volatility enhance the strategy’s resilience, accommodating both calm and turbulent market phases.
Enhanced Visualization: The use of color-coded EMAs (green for bullish, red for bearish) and background shading provides intuitive visual cues, simplifying trend and trade status identification.
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Limitations and Considerations
Despite its strengths, the strategy has inherent limitations that traders must address:
False Signals in Range-Bound Markets: EMA crossovers may generate misleading signals in sideways or choppy markets, leading to whipsaws and unprofitable trades.
Signal Lag: As lagging indicators, EMAs may delay entry or exit signals, causing traders to miss rapid trend shifts or enter trades late.
Overfitting Risk: Excessive optimization of parameters to fit historical data can impair the strategy’s performance in live markets, as past patterns may not persist.
Impact of High Volatility: In extremely volatile markets, wider stop losses may result in larger losses than anticipated, challenging risk management assumptions.
Data Reliability: The strategy’s effectiveness depends on accurate, continuous price data, and discrepancies or gaps can undermine signal accuracy.
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Practical Applications
The EMA 12/26 With ATR Volatility Stoploss strategy is versatile, applicable to diverse markets such as stocks, forex, commodities, and cryptocurrencies, particularly in trending environments. To maximize its potential, traders should adopt a rigorous implementation process:
Backtesting: Evaluate the strategy’s historical performance across various market conditions to assess its robustness and identify optimal parameter settings.
Forward Testing: Deploy the strategy in a demo account to validate its real-time performance, ensuring it aligns with live market dynamics before risking capital.
Ongoing Monitoring: Continuously track trade outcomes, analyze performance metrics, and refine parameters to adapt to evolving market conditions.
Additionally, traders should consider market-specific factors, such as liquidity and volatility, when applying the strategy. For instance, highly liquid markets like forex may require tighter ATR multipliers, while less liquid markets like small-cap stocks may benefit from wider stop losses.
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Conclusion
The EMA 12/26 With ATR Volatility Stoploss strategy is a sophisticated, systematic trading framework that blends trend-following precision with disciplined risk management. By leveraging EMA crossovers for signal generation, ATR-based stop losses for volatility adjustment, and dynamic position sizing for risk control, it offers a balanced approach to capturing market trends while safeguarding capital. Its flexibility—evident in customizable parameters and dual profit management modes—makes it suitable for traders with varying risk appetites and objectives. However, its limitations, such as susceptibility to false signals and signal lag, necessitate thorough testing and prudent application. Through rigorous backtesting, forward testing, and continuous refinement, traders can harness this strategy to achieve consistent, risk-adjusted returns in trending markets, establishing it as a valuable tool in the arsenal of systematic trading.
