Equity Curve Simulator & Trading Calculator

Optimize your crypto futures and intraday trading strategies with this professional equity curve simulator.

Designed for traders on exchanges like Binance and Bybit, this calculator helps you model account growth, analyze drawdowns, and visualize the variance in outcomes.

Parameters

$
%
1 :

Avg Win = 2.0x Risk

*Results are hypothetical and for educational purposes only.

Chart Legend

Best Case
Median Case
Worst Case

Equity Curve Projections

Why Use a Crypto Equity Curve Simulator?

In the volatile world of Crypto Futures and Intraday trading on platforms like Binance, understanding the statistical probability of your strategy is more important than any single trade. An Equity Curve Simulator (or Monte Carlo simulation) allows you to "stress test" your trading system before you risk real capital.

By simulating 100+ trades over multiple iterations, you can identify:

  • Max Drawdown Risk: The worst-case scenario your account might face.
  • Consecutive Losses: The statistical likelihood of losing streaks (e.g., losing 10 times in a row).
  • Capital Growth: Realistic ROI expectations based on your Win Rate and Risk-to-Reward ratio.

Frequently Asked Questions

What is a good Win Rate for Crypto Scalping?

For intraday scalping on Binance or Bybit, a win rate between 40% and 60% is common. However, the win rate must be balanced with the Risk:Reward ratio. If your Risk:Reward is 1:2, you only need a 34% win rate to break even.

How do I calculate Risk of Ruin?

Risk of Ruin is the probability that your account balance will fall to a point where you can no longer trade (e.g., 0). This calculator visualizes the "Worst Case" scenarios (Red line) to help you understand your probability of hitting a severe drawdown.

Can I use this for Forex and Stocks?

Yes. While optimized for the volatility of Crypto Futures, the math behind equity curves is universal. It works perfectly for Forex, Stocks, and Commodities.

High Risk Warning: Crypto trading involves substantial risk of loss. Simulation results are hypothetical and for demonstration only.