How would YOUR money have grown?
Enter a starting amount. We replay every resolved call in order — compounding wins and losses — to show what a real account would have looked like.
You're not buying a crystal ball — you're buying discipline.
Ezath isn't magic. It's a system that does the boring parts — watching charts, measuring indicators, defining risk — consistently, every 4 hours and every day. That consistency is the edge.
Every call comes from the same deterministic engine — multiple technical indicators (EMA200, RSI, MACD, ATR, volume) scored against each other. No human emotion, no FOMO, no panic. The same inputs always produce the same output.
Every signal ships with a stop-loss and a take-profit target computed from ATR (volatility). You know exactly how much you can lose before you enter. That's what makes risk manageable.
Every single call the engine has ever made is recorded — winners and losers. The 4-hour and 1-day timeframes you see are the only ones we trade. Nothing is hidden; this page is the whole dataset.
Most of the time, the answer is WAIT. We only fire a signal when conviction crosses a threshold — typically a few calls per coin per week. Fewer, higher-quality trades beat dozens of mediocre ones.
Common questions
Is a 35% win rate good?▾
By itself, no. But win rate alone is misleading — if your wins are 3× bigger than your losses, a 40% win rate is still profitable. Look at the ‘avg outcome’ column: that's the number that actually matters.
Why not 100% win rate?▾
Anyone selling you a 100% win-rate strategy is lying. Markets are probabilistic — the best traders in the world are wrong 30–50% of the time. What matters is that the average win is bigger than the average loss, and that you follow every signal, not just the ones you like.
Do I have to follow every signal?▾
To match these numbers, yes. Cherry-picking your favorites is where most retail traders lose money. The math only works across the full distribution.
What about drawdown?▾
Every strategy has losing streaks. The simulator above shows the worst drawdown in the backtest — that's the pain you'd have had to sit through. If it scares you, size smaller.
Sign in to view the real-time dataset with your personal performance overlaid.
