LSTM_API / update_scaler.py
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import yfinance as yf
import json
import os
def update_scaler(symbol="EURUSD=X", days=30, output_path="scaler_config.json"):
print(f"πŸ“ˆ Fetching {days}-day close data for {symbol}...")
data = yf.download(symbol, period=f"{days}d", interval="1d")
if data.empty:
print("⚠️ Failed to fetch data from yfinance.")
return
close_min = float(data["Close"].min())
close_max = float(data["Close"].max())
config = {
"CLOSE_MIN": close_min,
"CLOSE_MAX": close_max,
"symbol": symbol,
"updated_at": str(data.index[-1].date())
}
with open(output_path, "w") as f:
json.dump(config, f, indent=2)
print(f"βœ… Scaler updated and saved to {output_path}")
print(f" MIN={close_min:.5f}, MAX={close_max:.5f}")
if __name__ == "__main__":
os.makedirs(os.path.dirname("scaler_config.json"), exist_ok=True)
update_scaler()