CZWEB3 PRO · REVERSE STRATEGY LAB
Research the other side of trading behavior
Study authorized, aggregated simulated trading data, behavioral patterns and reverse strategies after costs. Research is separate from trade execution.
Cohort analysis
Aggregate by period and behavior
Reverse backtests
Include fees, slippage and signal delays
Research notes
Explain samples, methods and limitations
Simulated reverse-strategy data
Potential sources include authorized simulated competitions and training platforms such as K-lifang. No connection to its API or database is currently active.
Methodology and limits
Define the sample
Record permission, period, sample size and inclusion rules, including failed and exited samples.
Model the reverse strategy
Recalculate execution, fees, slippage and latency. Negating a loss is not a valid reverse backtest.
Validate out of sample
Use out-of-sample periods and examine drawdown, loss streaks and parameter sensitivity. Simulation is not live performance.
Latest research
Research notes are being prepared.