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Bollinger breakout crossover

Rank 9 · Historical simulation

Test
Strategy source

Public repository

Pinned source
Pinned commit source
Repository
https://github.com/whittlem/pycryptobot
Commit
1fa9aaef141725623899230daa585e17fa7ba007
Source path
examples/chatgpt/bbands_fib_strategy.py
Source SHA-256
844d63ab8ad360edb83dc93baa7ba01d21c9ec237411b98bcbb6e5ba8becb12d
License
Apache-2.0 · License file
Fixed strategy

How it works

Buy when close crosses from below to above the upper Bollinger band; sell when close crosses from above to below the lower band. Fibonacci levels are plotting-only.

Rule settings
Fixed to the tested strategy
Decision interval
1h
Markets
BTC, ETH, SOL
Simulated net returns

Recent simulated results

1 day · base costs

0.000%

2026-09-082026-09-09

Gross return
0.000%
Funding
0.000%
Trading costs
0.000%
Turnover
0.000
Net return
0.000%

7 days · base costs

+0.736%

2026-09-022026-09-09

Gross return
+1.814%
Funding
-0.105%
Trading costs
-0.973%
Turnover
6.505
Net return
+0.736%

1 day · stress costs

0.000%

2026-09-082026-09-09

Gross return
0.000%
Funding
0.000%
Trading costs
0.000%
Turnover
0.000
Net return
0.000%

7 days · stress costs

-0.243%

2026-09-022026-09-09

Gross return
+1.798%
Funding
-0.105%
Trading costs
-1.937%
Turnover
6.503
Net return
-0.243%

Simulated results do not predict future results.