Historical rule simulator

Backtest: When Fear & Greed Falls Below 25

Simulates one mechanical rule โ€” buy when fear & greed falls below 25, hold a fixed number of days, then exit โ€” using only this site's own historical occurrence data. Only one position is held at a time; signals that fire while already in a trade are skipped and shown below.

Rule results for Avalanche

14 historical signal(s) detected for Avalanche; 11 non-overlapping trade(s) taken at a 7-day hold (3 skipped because a position was already open).

Completed trades11
Win rate45.5%
Average return / trade-2.50%
Compounded total return-27.44%
Max drawdown-30.98%
Buy & hold, same period-70.06%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2025-10-12 2025-10-19 $21.4854 $20.2124 -5.93% 94.07
2025-10-22 2025-10-29 $19.5510 $19.4912 -0.31% 93.79
2025-11-04 2025-11-11 $16.6429 $18.1705 +9.18% 102.40
2025-12-06 2025-12-13 $13.2216 $13.1091 -0.85% 101.52
2025-12-13 2025-12-20 $13.1091 $12.2516 -6.54% 94.88
2026-01-10 2026-01-17 $13.8070 $13.6108 -1.42% 93.53
2026-01-21 2026-01-28 $12.1331 $12.1950 +0.51% 94.01
2026-01-30 2026-02-06 $11.0771 $8.3277 -24.82% 70.68
2026-05-19 2026-05-26 $9.2378 $9.2988 +0.66% 71.14
2026-07-14 2026-07-21 $6.4463 $6.5728 +1.96% 72.54
2026-07-31 2026-08-07 $6.4310 $6.4330 +0.03% 72.56

How this backtest works

Every trade uses the same independent-episode detection and forward-return data as the full study page. A trade is entered on the day a signal triggers and exited exactly 7 days later at the historical close; a new signal is ignored while a trade is still open, so the trade count below is always less than or equal to the number of raw signals. Returns compound sequentially starting from a hypothetical $100.

View the full study for Avalanche ยท Read the full methodology