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Use NVDA as a more volitile test suite

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Derek Holloway
2026-02-18 22:35:13 -08:00
parent 5ff63df387
commit ff573e40fc
1 changed files with 1 additions and 1 deletions
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WebServer/AIPython/ai-predictor.py
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@@ -15,7 +15,7 @@ def Predict():
MODEL_PATH = os.path.join(DATA_DIR, "model.keras") MODEL_PATH = os.path.join(DATA_DIR, "model.keras")
# Pull 1 month of current data to make prediction against | for volatility 20 # Pull 1 month of current data to make prediction against | for volatility 20
df = yf.download("SPY", period="2mo", auto_adjust=True) df = yf.download("NVDA", period="2mo", auto_adjust=True)
if not df.empty: if not df.empty:
df = features.MakeFeatures(df, 1) df = features.MakeFeatures(df, 1)
df = features.CleanDF(df) df = features.CleanDF(df)