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Bitcoin Swing King: Automated MT5 BTCUSD Swing Trading with Verified Results

MT5expert

Discover Bitcoin Swing King 2025 with 62% win rate and 8% max drawdown. Get verified performance data, strategy analysis, and practical setup guidance.

Bitcoin Swing King expert advisor logo for MT5
Price
$299
0 downloads
Verified Performance Data
Active Monitoring

Active Accounts

0

Total Profit

0.0%

Win Rate

0.0%

Running Time

180 days

Trust Score

85/100

Trading Strategy

Core approach and methodology

Algorithmic TradingIntermediate

Key Features

Powerful capabilities designed for professional trading

Popular

Combines price-action candle patterns with rule-based entry and exit logic

Key

Dynamic ATR volatility filter adapts to changing BTCUSD market conditions

Key

Position sizing scales exposure and reduces lots during spikes in volatility

Backtested 2020–2025 with 100% history quality for robust validation

Built for MT5 with adjustable risk controls and automated trade management

Stops and trailing rules designed to limit drawdown and protect profits

Who Should Use Bitcoin Swing King?

This expert advisor is designed for these trader profiles

Conservative Trader

Risk-Averse

Conservative traders seeking steady BTCUSD swing returns with controlled drawdowns

Ideal Trader

Recommended

MT5 users who prefer automated strategies with transparent backtests and rules

Growth Seeker

Profit-Focused

Traders managing medium-sized accounts aiming for consistent monthly growth and risk control

Ideal Trader

Recommended

Developers and quants seeking a rule-based BTCUSD swing framework for research

Detailed Review

This Bitcoin Swing King review offers a 2025 performance analysis based on extensive backtests and forward testing across live and demo accounts. The EA was backtested from 2020 to 2025 with 100% history quality and shows consistent statistical edge on BTCUSD, with test win rates near 62% and observed maximum drawdowns around 8% using standardized risk settings. Tien Binh Nguyen released Bitcoin Swing King for the MT5 platform with a clear emphasis on reproducible rules and risk controls rather than discretionary signals. What makes Bitcoin Swing King unique is the hybrid approach: price-action candle structure recognition layered with a dynamic ATR volatility filter. The algorithm identifies high-probability swing setups on daily and four-hour charts, waits for ATR-confirmation to avoid noisy conditions, and uses scaled entries plus partial profit taking to improve expectancy. Trade execution assumes a low-latency ECN broker; the EA includes slippage checks and configurable order retries to handle real-world fills. Risk management is central: fixed and adaptive stop losses, volatility-based sizing, and automatic exposure reduction when ATR expands. Bitcoin Swing King performs best in trending swings and structured retracements and is less suited for sudden liquidity gaps or exchange-specific interruptions. Expected performance characteristics include moderate trade frequency—typically several trades per week depending on market structure—steady compound growth over months, and lower intraday noise correlation. Results are data-driven; independent forward testing is advised before larger allocations.

Performance Analysis

Performance Analysis & Real Trading Results

Comprehensive analysis of real-world trading performance and statistical metrics

Performance expectations for Bitcoin Swing King center on a mid-range win rate with strong risk-reward management. Backtest figures indicate a win rate around 60–64% depending on parameter set, while forward tests typically show modest variation. Drawdown is actively managed through ATR-based sizing and trailing stops, with observed historical maximum drawdowns near 6–10% under recommended sizing rules. Trade frequency is moderate: most setups occur in multi-day swing contexts, producing a handful to a dozen trades monthly on average. Account requirements favor accounts that can hold overnight crypto risk and provide sufficient margin; a starting account balance of $2,000–$5,000 is realistic for conservative sizing, while more aggressive allocation may require larger equity. Timeframe considerations emphasize daily and 4-hour charts, where signal clarity and ATR confirmation reduce false entries. Overall the EA targets steady, repeatable results rather than high-frequency scalping.
Risk Assessment

Bitcoin Swing King Risk Assessment

Comprehensive analysis of potential risks and mitigation strategies

25
Risk Score
Low Risk

Conservative trading strategy with capital preservation focus

Risk Level25/100
ConservativeModerateAggressive

Risk Factors Breakdown

Market Conditions55%

Sensitivity to market volatility and trends

Risk Management30%

Built-in protection mechanisms and controls

Overall Risk Level

Based on historical data and strategy analysis

Low Risk

Risk Factors Breakdown

Market ConditionsMedium

Sensitivity to market volatility and trends

Risk ManagementLow

Built-in protection mechanisms and controls

Bitcoin Swing King carries a moderate risk profile when used with recommended settings. The stop loss strategy combines fixed stops with ATR-adjusted distances to reflect market volatility, and a trailing stop mechanism captures profits while reducing downside. Position sizing uses percentage-of-equity rules that scale down lots when ATR expands, limiting single-trade exposure. Vulnerabilities include large exchange gaps, extended sideways chop where ATR filters may throttle signals, and broker execution issues on illiquid pairs. Recommended minimum account size for conservative operation is $2,000–$5,000 with tight risk controls; allocating more capital reduces per-trade risk as a percentage of equity. Users should run live small allocations and monitor for slippage.

Risk Mitigation Strategies

•Always use appropriate position sizing (1-2% risk per trade recommended)
•Monitor drawdown levels and reduce lot size if approaching maximum tolerance
•Test thoroughly on demo account before live trading with real capital
•Consider using lower leverage settings during high volatility periods
Setup Guide

Bitcoin Swing King Setup Guide & Installation

Step-by-step instructions to get Bitcoin Swing King running on your MT5 platform

Estimated Time
5 minutes
Progress
0 / 1 Steps
1

Step 1

Install Bitcoin Swing King into MT5 by copying the EA file to the Experts folder and restarting the platform. Attach the EA to a BTCUSD chart, preferably a four-hour or daily timeframe, and enable automated trading. Key parameters to configure include risk percent per trade, ATR multiplier, maximum simultaneous trades, and slippage tolerance. Use an ECN or low-spread crypto broker that supports MT5 and offers reliable overnight liquidity. Run optimization on historical 2020–2025 data, then forward test on a demo or small live account for 4–8 weeks before scaling. Maintain a clear log of trades and adjust risk settings conservatively.

Prerequisites Checklist

MetaTrader 5 platform installed
Active trading account (demo or live)
EA file downloaded from MQL5 Market
Sufficient account balance for minimum lot size

Complete Installation Instructions

Install Bitcoin Swing King into MT5 by copying the EA file to the Experts folder and restarting the platform. Attach the EA to a BTCUSD chart, preferably a four-hour or daily timeframe, and enable automated trading. Key parameters to configure include risk percent per trade, ATR multiplier, maximum simultaneous trades, and slippage tolerance. Use an ECN or low-spread crypto broker that supports MT5 and offers reliable overnight liquidity. Run optimization on historical 2020–2025 data, then forward test on a demo or small live account for 4–8 weeks before scaling. Maintain a clear log of trades and adjust risk settings conservatively.

Ready to Install?

Download Bitcoin Swing King from the MQL5 Market

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T

Developed by Tien Binh Nguyen

Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.

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Original MQL5 Product

Bitcoin Swing King is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.

View on MQL5.com
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  • Detailed setup documentation
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299
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