Backtest the performance of buying HBARUSDT with RSI Oversold, hold until price breaks above 0.1953 resistance level, from 2022 to now.
11/4/2025 03:56am
Below is an interactive module that summarises the strategy definition, testing scope, and the key performance statistics.
Please explore the panel for full details and charts.
```jgy-json-canvas
{"show_type":"jgyNewLowcode","config":{"type":"iwcapp/stockBackTestTool","version":"0.0.3","url":"//cdn.ainvest.com/frontResources/s/foiegras/stockBackTestTool/0.0.3/stockBackTestTool@0.0.3index.js"},"data":{"columns":[{"index_name":"strategy_basic_info","key":"strategy_basic_info","type":"Object"},{"index_name":"backtest_condition","key":"backtest_condition","type":"Object"},{"index_name":"backtest_result","key":"backtest_result","type":"STR"}],"datas":[{"strategy_basic_info":{"name":"RSI Oversold Breakout","description":"Buy HBARUSDT when 14-day RSI rebounds above 30 from below (oversold); hold until daily close exceeds 0.1953 USDT."},"backtest_condition":{"object":{"display_name":"Object","type":"ticker","ticker":["HBARUSDT"]},"open_signal":{"display_name":"Open Signal","type":"criteria","criteria":"RSI14 crosses above 30 after being below 30"},"sell_signal":{"display_name":"Close Signal","type":"criteria","criteria":"Close price > 0.1953 USDT"}},"backtest_result":"https://cdn.ainvest.com/backtest/agent/session/784562/09b5f1e7-4eef-4727-b037-4c50c178a589/c1455433-b83a-4fbf-9407-622ebe4a8f11/hbarusdt_strategy_bt_result_20220101_20251103.json"}]}}
```
Key take-aways:
• Robust upside but volatile: a cumulative return of 222 % (≈ 49 % annualised) was achieved, yet the strategy endured an 80 % peak-to-trough draw-down.
• Pay-off profile is skewed: average winning trade delivered ~29 % vs. -2 % average loss, indicating a high reward-to-risk per trade, although deep interim losses occurred.
• Moderate risk-adjusted performance: Sharpe ratio ~0.62 suggests that return came with sizable volatility; the strategy may benefit from risk controls (e.g., stop-loss or tighter exits).
• Regime sensitivity: Performance clusters around strong crypto bull phases—consider integrating a trend filter (e.g., 200-day MA) to avoid prolonged bear-market exposure.
Feel free to adjust entry/exit thresholds or add protective rules (e.g., 25 % stop-loss) and rerun the back-test if you’d like to explore robustness under alternative settings.