feat: update ML threshold and configuration for improved model performance

- Added ML_THRESHOLD to .env.example and updated Config class to include ml_threshold with a default value of 0.55.
- Modified MLFilter initialization in bot.py to utilize the new ml_threshold configuration.
- Updated Jenkinsfile to change the registry URL for Docker image management.

These changes enhance the model's adaptability by allowing for a configurable machine learning threshold, improving overall performance.

This commit is contained in:

21in7

2026-03-03 20:09:03 +09:00

parent 6fe2158511

commit 292ecc3e33

5 changed files with 7 additions and 4 deletions

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.env.example

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@@ -4,3 +4,4 @@ SYMBOL=XRPUSDT
 LEVERAGE=10
 RISK_PER_TRADE=0.02
 DISCORD_WEBHOOK_URL=
 ML_THRESHOLD=0.55

feat: update ML threshold and configuration for improved model performance

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.env.example

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