Most backtests overstate performance
Problem
Ignoring slippage, fee tiers, and risk filtering inflates returns and hides fragility.
Bitrion
Bitrion simulates realistic order friction, computes RSI/MACD/EMA without look-ahead leakage, and applies portfolio risk rules during backtests.
Backtesting workflow
- 1
Set parameters
Choose symbols, timeframes, entry/exit rules, and position sizing constraints.
- 2
Batch scenarios
Run parameter sweeps to compare robustness across market regimes.
- 3
Promote validated setups
Move selected strategies into paper mode using the same operational pipeline.
What you can validate
Execution realism
Commissions, slippage assumptions, and order-type behavior are simulated.
Indicator integrity
RSI, MACD, EMA and related metrics are computed without future leakage.
Risk-aware results
Drawdown and exposure constraints are applied during simulation, not after.
Optimization at scale
Run broad parameter grids and compare stability, not just peak PnL.
Backtesting FAQ
- Can I backtest multiple symbols and timeframes?
- Yes. You can evaluate strategies across assets and intervals to avoid single-market overfitting.
- Do backtests include the same risk logic as live trading?
- Yes. Bitrion applies key risk constraints in simulation so strategy behavior is closer to what happens in paper/live execution.
- What happens after a good backtest?
- You can deploy to paper trading first, then move to live on Binance/Kraken with the same decision and risk pipeline.
Validate robustness before risking capital
Use realistic assumptions and promote only stable configurations.