Example Reports
See what a FiClaw backtest report looks like
Each example keeps the original prompt, strategy summary, key metrics, diagnosis and next steps, so you can see how FiClaw organizes strategy generation, real backtesting and iteration.
Momentum Rotation Backtest Example
How FiClaw turns a 20-day momentum rotation idea into a strategy spec, generates code, submits a backtest and returns a diagnosis based on the metrics.
Sample prompt
“A monthly momentum rotation on a 20-day factor, holding the 20 strongest names in the CSI 300 equal-weight and rebalancing monthly.”
Parameter Optimization Report Example
How FiClaw extracts tunable parameters from a strategy, runs a grid search and judges parameter sets by return, drawdown, Sharpe and neighborhood stability.
Sample prompt
“Optimize a momentum rotation strategy: search the momentum window, holding count and rebalance frequency to raise Sharpe while containing max drawdown.”
Multi-Factor Stock Selection Backtest Example
How FiClaw turns quality, momentum and low-volatility factors into selection rules, A-share backtests, exposure diagnosis and risk metrics.
Sample prompt
“Build a quality, momentum and low-volatility three-factor selection strategy on the CSI 300, rebalanced monthly, with a single-sector weight cap of 30%, and output a 10-year-plus historical backtest report.”
Mean Reversion Risk Diagnosis Example
How FiClaw assesses a mean-reversion strategy's win rate, profit-loss ratio, max drawdown and tail risk, avoiding a high-win-rate-only conclusion.
Sample prompt
“Design a mean-reversion strategy on a 20-day moving average with a 2-standard-deviation deviation, add a 10-day max holding period and a stop-loss, and output a risk diagnosis report.”
Transaction Cost Sensitivity Report Example
How FiClaw compares strategy performance under different fee, slippage and turnover assumptions to judge whether backtest return survives real trading costs.
Sample prompt
“Run a transaction-cost sensitivity analysis on a momentum rotation strategy, comparing annual return, Sharpe, max drawdown and turnover under 0, 5, 10 and 20 bps cost assumptions.”