MT5 Indicator Performance Calculator: Backtest RSI, MACD, Bollinger (2026)

Strategy Setup

Describe the indicator, the signal logic and the market you backtested.

Indicator

Signal Logic

Timeframe

Currency Pair

Backtest Period (months) Longer = more statistically reliable.

Total Signals Generated Below 100 = not enough data.

Profitable Signals

Average R per Trade Net expectancy per trade in R.

Average Win (R)

Average Loss (R)

Max Consecutive Losses

Max Drawdown %

Return Std Deviation (%) Used for Sharpe ratio.

Downside Std Deviation (%) Used for Sortino ratio.

Multi-Indicator Combo Analyzer

Combine up to 3 indicators and see how confluence filters noise. Best results mix different dimensions: trend + momentum + volatility.

Indicator A

Indicator B

Indicator C (optional)

Indicator Reference Database

Typical performance profile of each indicator based on public backtests and academic research.

Indicator	Best For	Win Rate	Best Timeframes	Common Pitfalls
RSIMomentum oscillator	Ranging markets, mean reversion	52–58%	M15, H1, H4	Fails in strong trends. RSI can stay oversold for weeks in a downtrend.
MACDTrend + momentum	Trending markets, momentum confirmation	48–55%	H1, H4, D1	Lags by nature. Whipsaws brutally in chop.
Bollinger BandsVolatility channel	Mean reversion OR breakout (opposite strategies)	50–62%	M15, H1, H4	Bands expand during trends — mean reversion trade becomes a knife catch.
StochasticMomentum oscillator	Range-bound pairs, overbought/oversold	50–56%	M15, H1	Too sensitive on low timeframes. Needs a trend filter.
MA CrossoverTrend following	Strong directional trends	35–45%	H4, D1	Low win rate but high R:R. Useless in ranges, gives up 40% of moves to lag.
ATRVolatility measure	Position sizing, stop placement, breakout filter	N/A	Any	Not a signal by itself. Used to size or filter other signals.
IchimokuAll-in-one system	Swing and position trading, clean trends	45–55%	H4, D1, W1	Steep learning curve. 5 lines at once confuses beginners.

Indicator

Best For

Win Rate

Best Timeframes

Common Pitfalls

RSIMomentum oscillator

Ranging markets, mean reversion

52–58%

M15, H1, H4

Fails in strong trends. RSI can stay oversold for weeks in a downtrend.

MACDTrend + momentum

Trending markets, momentum confirmation

48–55%

H1, H4, D1

Lags by nature. Whipsaws brutally in chop.

Bollinger BandsVolatility channel

Mean reversion OR breakout (opposite strategies)

50–62%

M15, H1, H4

Bands expand during trends — mean reversion trade becomes a knife catch.

StochasticMomentum oscillator

Range-bound pairs, overbought/oversold

50–56%

M15, H1

Too sensitive on low timeframes. Needs a trend filter.

MA CrossoverTrend following

Strong directional trends

35–45%

H4, D1

Low win rate but high R:R. Useless in ranges, gives up 40% of moves to lag.

ATRVolatility measure

Position sizing, stop placement, breakout filter

N/A

Any

Not a signal by itself. Used to size or filter other signals.

IchimokuAll-in-one system

Swing and position trading, clean trends

45–55%

H4, D1, W1

Steep learning curve. 5 lines at once confuses beginners.

How to Read Indicator Performance Properly

A shiny backtest doesn't mean a shiny live account. Most retail traders fall into the same trap: they optimize an indicator on historical data, see a flattering equity curve, and assume the edge is real. Then live trading shreds the account within two months. This calculator exists to force you to look at the metrics that actually matter.

1. Profit Factor Over Win Rate

Win rate alone is meaningless. A 75% win rate system with 1:0.3 reward-to-risk is worse than a 40% win rate system with 1:3 reward-to-risk. Profit factor (gross profit / gross loss) normalizes this. Under 1.25 is noise. 1.5 is the minimum to survive real-world friction. Above 2.0 is rare and usually curve-fit.

2. Expectancy Is the Only Number That Pays You

Expectancy = (Win Rate × Avg Win) - (Loss Rate × Avg Loss). It tells you, in R units, what each signal is worth on average. A positive expectancy of 0.3R means every trade earns you a third of your risk on average. Over 300 trades, that's 90R. Over 1000 trades, 300R. That's how professionals think.

3. Sharpe and Sortino — The Volatility-Adjusted Reality Check

A system that makes 40% per year with 5% max drawdown is completely different from a system that makes 40% per year with 40% drawdown. Sharpe ratio (return / std deviation) and Sortino ratio (return / downside deviation) quantify the path of the returns, not just the destination. Above 1 is good. Above 2 is professional-grade. Above 3 is suspicious (usually fit).

4. Max Drawdown Is the Only Thing That Kills You

Your account dies from drawdowns, not from bad averages. A 35% drawdown requires 54% to recover. A 50% drawdown requires 100%. Any indicator strategy with historical drawdown above 25% should be position-sized aggressively lower, because live drawdowns tend to exceed backtest drawdowns by 30-50%.

5. Indicator Confluence — Myth vs Reality

The naive idea is "add more indicators, get higher win rate." The reality is more subtle. Stacking two indicators that measure the same thing (RSI + Stochastic, both momentum) mostly reduces signal count without improving edge. The combos that actually work mix different dimensions: MA (trend) + RSI (momentum) + ATR (volatility filter). Each indicator answers a different question about the market.

6. Why Your Indicator Will Stop Working

Markets regime-shift. An indicator that crushed EUR/USD in 2019-2021 (low volatility, clean ranges) got murdered in 2022 (high volatility, strong trends). The indicator wasn't wrong — the environment changed. The solution is not to abandon the indicator, but to understand in which regime it works and gate it with a regime filter (typically an ATR or ADX threshold).

7. The 100-Trade Minimum

Any backtest with fewer than 100 trades is a story, not statistics. You need at least 100 trades to have any confidence interval at all, and 300+ to trust the results. Pair that with walk-forward analysis (test on out-of-sample data) and you're closer to something tradeable.

Frequently Asked Questions

What is a good profit factor for a trading indicator?

Above 1.5 is tradeable. Between 1.25 and 1.5 is marginal and requires strict discipline. Below 1.25 the edge is too thin to survive real-world slippage, commissions, and emotional pressure. Professional systematic funds typically aim for 1.8 or higher on liquid markets.

How many signals do I need to trust an indicator backtest?

At least 100 signals for statistical relevance, ideally 300+. Anything below 30 trades is random noise, regardless of how good the equity curve looks. Walk the backtest across multiple market regimes (trend, range, high/low volatility).

Does combining indicators always improve win rate?

Not always. Combining indicators that measure the same thing (RSI + Stochastic, both momentum) mostly filters trades without adding real edge. Effective combos mix different dimensions: trend (MA) + momentum (RSI) + volatility (ATR or Bollinger).

Why does my indicator work on backtest but fail live?

Three common reasons: curve-fitting (you optimized parameters for past data), ignoring spread/slippage/commissions in the backtest, and regime change (the indicator worked in a trending market and you deployed it in a range). Always forward-test on demo for at least 4 weeks.

What does Sharpe ratio tell me about an indicator?

Sharpe measures return per unit of volatility. Above 1 is good, above 2 is great, above 3 is exceptional. Sharpe penalizes upside volatility the same as downside — that's why Sortino ratio (only downside) is often more honest for asymmetric strategies.

MT5 Indicator Performance Calculator