Use NVDA as a more volitile test suite

2026-02-18 22:35:13 -08:00
parent 5ff63df387
commit ff573e40fc
1 changed files with 1 additions and 1 deletions
@@ -15,7 +15,7 @@ def Predict():
    MODEL_PATH = os.path.join(DATA_DIR, "model.keras")

    # 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:
        df = features.MakeFeatures(df, 1)
        df = features.CleanDF(df)