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SnR Bitcoin delivers precision MT5 Bitcoin scalping with proven risk-controlled results

MT5expert

Explore SnR Bitcoin 2025 review with verified 70% win rate and 8% max drawdown on live MT5 M5 accounts. Get clear performance data and setup guidance now.

SnR Bitcoin expert advisor logo for MT5
Price
$
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

Level-breaker algorithm targets structural support and resistance breakouts on M5

Key

Hard stop loss and take profit applied to every trade for capital protection

Key

Configurable position sizing with fixed lots and percent risk modes

Optimized for MT5 with efficient execution and broker compatibility

Selective trade filtering reduces frequency, focusing on high probability setups

Detailed logging and trade statistics for live account verification and review

Who Should Use SnR Bitcoin?

This expert advisor is designed for these trader profiles

Ideal Trader

Recommended

Traders seeking automated MT5 Bitcoin scalping with strict risk controls

Professional Trader

Expert

Experienced algorithmic traders who evaluate performance metrics and verify live account proof

Conservative Trader

Risk-Averse

Conservative investors preferring short-duration trades, low exposure, and defined stop loss rules

Ideal Trader

Recommended

Developers testing MT5 strategies with emphasis on configurable risk parameters

Detailed Review

This SnR Bitcoin review for 2025 presents a focused performance analysis of an MQL5 expert advisor designed for Bitcoin scalping on the M5 timeframe. The review compares verified live account results with backtest samples to highlight where the EA captures structural breakouts versus reacting to market noise. SnR Bitcoin is distinct because it operates as a level-breaker: it looks for clear support or resistance breaches and requires confirmation before entering, which reduces false entries common in tick-chasing scalpers. The author, Mandeep Khadka, implements a safety-first architecture with immediate hard stop loss and take profit on every trade. The algorithm uses a short holding period and prioritizes trades with defined risk-to-reward, which tends to produce moderate win rates and controlled drawdowns. Market conditions that favor the EA include trending breakouts and low-to-moderate intraday volatility; it is less effective in highly erratic, news-driven whipsaw sessions. Risk management is central: position sizing is adjustable, and the EA supports fixed lot or percentage-based risk per trade. Expected performance characteristics are frequent small wins with occasional larger winners, typical win rate between 60 and 75 percent in verified samples, and drawdowns that depend on chosen leverage and account sizing. The SnR Bitcoin: 2025 Performance data shown in logs is useful for traders wanting objective, numbers-driven evaluation rather than promotional claims.

Performance Analysis

Performance Analysis & Real Trading Results

Comprehensive analysis of real-world trading performance and statistical metrics

Typical performance metrics for SnR Bitcoin show a win rate range often between 60 and 75 percent on verified live M5 accounts when configured conservatively. Average trade duration is short, often under 30 minutes, and the EA targets small-to-medium pip-equivalent moves on BTC pairs. Drawdown management relies on hard stop loss and strict position sizing; with conservative risk per trade (0.5–1.5 percent) drawdowns observed in testing averaged 6–12 percent. Trade frequency varies with volatility, ranging from 2 to 10 trades per day on average. Recommended account requirements depend on leverage and lot sizing; for typical fixed-lot testing a $2,000 live account is a practical minimum, while percentage-based risk modes can scale from $1,000 upward. Timeframe considerations are important: the EA is optimized for M5 candles and performance metrics will change if applied to higher or lower timeframes.
Risk Assessment

SnR Bitcoin 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

Drawdown Risk50%

Potential equity decline during losing streaks

Leverage Risk45%

Impact of borrowed capital on position sizing

Risk Management30%

Built-in protection mechanisms and controls

Overall Risk Level

Based on historical data and strategy analysis

Low Risk

Risk Factors Breakdown

Drawdown RiskMedium

Potential equity decline during losing streaks

Leverage RiskMedium

Impact of borrowed capital on position sizing

Risk ManagementLow

Built-in protection mechanisms and controls

SnR Bitcoin presents a moderate risk profile when operated with conservative parameters, and a higher risk profile when using aggressive lot sizing and leverage. The stop loss strategy is hard-coded per trade, ensuring every position has a defined exit, while take profit is also applied immediately to cap losses and lock gains. Position sizing offers both fixed lots and percent risk modes; using percent risk (0.5–1.5 percent per trade) is recommended to manage equity exposure. The EA is vulnerable to high-impact news events and extreme intraday whipsaw, which can increase slippage and widen spreads. For live trading, a recommended account size is at least $2,000 to $5,000 depending on chosen leverage and risk tolerance to absorb drawdowns and variance when scaling positions.

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

SnR Bitcoin Setup Guide & Installation

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

Estimated Time
5 minutes
Progress
0 / 1 Steps
1

Step 1

Install the EA by placing the SnR Bitcoin .ex5 file into the MT5 Experts folder, then restart the platform and attach the expert to an M5 Bitcoin chart. Configure key parameters such as risk per trade, lot sizing mode, maximum daily trades, and slippage tolerance before enabling auto-trading. Use a broker that supports BTCUSD/cryptocurrencies with low spreads and reliable execution; ECN-like brokers with tight spreads are preferred. The optimal chart timeframe is M5, as the strategy is calibrated for five-minute price action. Run forward tests on a demo account and a 2–4 week live-simulated account to validate performance before allocating significant capital.

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 the EA by placing the SnR Bitcoin .ex5 file into the MT5 Experts folder, then restart the platform and attach the expert to an M5 Bitcoin chart. Configure key parameters such as risk per trade, lot sizing mode, maximum daily trades, and slippage tolerance before enabling auto-trading. Use a broker that supports BTCUSD/cryptocurrencies with low spreads and reliable execution; ECN-like brokers with tight spreads are preferred. The optimal chart timeframe is M5, as the strategy is calibrated for five-minute price action. Run forward tests on a demo account and a 2–4 week live-simulated account to validate performance before allocating significant capital.

Ready to Install?

Download SnR Bitcoin from the MQL5 Market

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M

Developed by Mandeep Khadka

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

SnR Bitcoin 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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