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Brent Neale
546d7311ec
Introduces a full Trading Economics API pipeline that fetches, stores, and queries economic events (NFP, CPI, rate decisions, etc.) so the backtester can block trade entries within a configurable buffer window of high-impact releases — reducing slippage and false signals. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
18 lines
258 B
Plaintext
18 lines
258 B
Plaintext
pandas>=2.0
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numpy>=1.24
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scipy>=1.10
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scikit-learn>=1.3
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lightgbm>=4.0
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matplotlib>=3.7
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mplfinance>=0.12.10b0
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plotly>=5.0
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pyarrow>=14.0
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oandapyV20==0.7.2
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requests>=2.28
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supabase>=2.0
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python-dotenv>=1.0
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PyYAML>=6.0
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flask>=3.0
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flask-httpauth>=4.8
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tradingeconomics
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