[pull] develop from freqtrade:develop#1690
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pull[bot] merged 7 commits intoUncodedtech:developfrom Mar 19, 2026
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Replace column-by-column DataFrame assignment with dict-based construction. The previous approach triggered pandas PerformanceWarning about DataFrame fragmentation when many prediction columns and their corresponding mean/std columns were added one at a time. Also add defensive key checks (label in self.data["labels_mean"]) to prevent KeyError when custom models produce prediction columns that don't have corresponding entries in labels_mean/labels_std. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…ction Address review feedback: do_predict and DI_values were still assigned after DataFrame creation, partially defeating the fragmentation fix. Now all columns are collected in the dict before the single DataFrame() call, ensuring zero post-construction column assignments. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
fixes problems where funding-rates may be on the 1st second of the hour (observed on gate from time to time)
fix: avoid DataFrame fragmentation in get_predictions_to_append
Update Binance Leverage Tiers
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