Trading Strategy Statistics: Win Rate and Expectancy by Timeframe

Live figures from the ATLAS engine

Strategies Tested

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Signals Measured

Markets Tracked

Setups Scored

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Candles Per Market

Live quotes from the 14 markets on this page, refreshed every minute

Gold3,929.21-0.44%

EUR/USD1.11936+0.06%

Bitcoin77,529.02+0.90%

GBP/USD1.34173+0.08%

USD/JPY158.50+0.36%

Ethereum2,289.83+1.41%

Silver49.70-1.87%

WTI Oil95.15-0.25%

Nasdaq 10028,171.40+0.32%

S&P 5007,569.23+0.20%

AUD/USD0.69682-0.42%

USD/CAD1.39979+0.08%

DAX 4025,846.31-0.25%

USD/CHF0.82074+0.28%

Gold3,929.21-0.44%

EUR/USD1.11936+0.06%

Bitcoin77,529.02+0.90%

GBP/USD1.34173+0.08%

USD/JPY158.50+0.36%

Ethereum2,289.83+1.41%

Silver49.70-1.87%

WTI Oil95.15-0.25%

Nasdaq 10028,171.40+0.32%

S&P 5007,569.23+0.20%

AUD/USD0.69682-0.42%

USD/CAD1.39979+0.08%

DAX 4025,846.31-0.25%

USD/CHF0.82074+0.28%

Facts You Will Not Find In A Course

Buy or sell: which strategy works best, on which timeframe and on which market.

Buys And Sells Apart

Many strategies work in one direction only. Splitting them reveals it.

Timeframe By Timeframe

The same idea can win on H4 and lose on M15. You see where it holds.

Minimum Sample Size

Rankings ignore strategies with too few signals, so luck does not top the table.

Features

How To Read The Leaderboard

Win Rate

The share of signals that reached their target before their stop.

Signal FeedLive prices, example levels

GoldSELL

Entry3,929.21

Stop3,954.61

Target3,878.41

Mean reversion · H1: 34% won, +0.007 R

EUR/USDBUY

Entry1.11936

Stop1.11844

Target1.12120

Close breakout · H1: 32% won, -0.035 R

GBP/USDBUY

Entry1.34173

Stop1.33991

Target1.34536

Imbalance return · H1: 35% won, +0.030 R

Expectancy In R

The average result per trade in units of risk. Above zero is an edge, below zero loses money over time.

Sample Size

How many past signals the number rests on. Bigger samples deserve more trust.

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Strategy LabATLAS ProFuture SimulationATLAS ProSignal StatisticsATLAS Pro

Per Market View

Drill down to see whether a strategy works on gold, on the euro or on both.

Strategy LabReal measurement

When EMA 20 crosses above EMA 50

And RSI 14 is below 70

Then Buy, stop at 1.5 × ATR, target 2 R

//@version=5
strategy("EMA cross")
fast = ta.ema(close, 20)
slow = ta.ema(close, 50)
if ta.crossover(fast, slow)
    strategy.entry("Long", strategy.long)

Selection period

Control period

EMA crossover, H4 buy: 1,766 signals, 36.5% won, +0.094 R per trade.

How It Works

Get Started With Signal Statistics In Three Steps

1
Open The Statistics
All measured strategies load with their numbers.
2
Set A Minimum Sample
Hide anything measured on too few signals.
3
Pick Your Edge
Use the leaders on the chart and in the simulation.

Keep Exploring

Works Best With

FAQ

Signal Statistics Questions, Answered

How are the statistics measured?

Each strategy is replayed on the candle history of each market. Every signal is followed until it reaches its target or its stop.

Why do so many strategies lose?

Because most popular setups do not beat the market after enough trades. ATLAS shows it instead of hiding it.

Do the numbers include costs?

They are raw, without broker fees, so you can apply your own spread and commission.

Is this page in the free plan?

It is part of ATLAS Pro.

Signal Statistics

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Which Strategy Really Works, And Where

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