TPTBusiness 3a1adf7e0a fix(kronos): pass actual datetime Series to Kronos predictor timestamps ...

KronosPredictor.predict() requires x_timestamp and y_timestamp to be
pandas Series of datetime values for its calc_time_stamps() helper.
Previously we passed integer ranges (after reset_index), which raised
AttributeError on .dt.minute. Fixed by extracting datetime index values
before resetting and using future_idx for y_timestamp.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-18 10:12:51 +02:00

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CoSTEER

feat: Fast mode - CoSTEER goes to backtest after 1 iteration

2026-04-04 20:52:39 +02:00

data_science

fix: Add Bandit security scanning and fix critical vulnerabilities

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factor_coder

fix(security): resolve CodeQL path-injection and clear-text-logging alerts

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finetune

feat: add LLM-finetune scenario (#1314)

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model_coder

chore: initial Predix state (RD-Agent fork + EURUSD setup)

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rl

feat: Full system integration - RL + Protections + Backtesting + CLI

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kronos_adapter.py

fix(kronos): pass actual datetime Series to Kronos predictor timestamps

2026-04-18 10:12:51 +02:00

optuna_optimizer.py

fix(optuna): fix inverted parameter range in Stage 2/3 when signal_bias is negative

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strategy_orchestrator.py

feat: unified backtest engine, LLM error handling, strategy refactor

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