Rename Pas.py to appo.py

Pas.py → appo.py

@@ -1,5 +1,6 @@
 import ccxt
 import pandas as pd
+import streamlit as st
 import xgboost as xgb
 from sklearn.metrics import r2_score
 from sklearn.model_selection import train_test_split
@@ -62,13 +63,16 @@ def execute_trade(exchange, symbol, side, amount):
 
 symbol = 'BTC/USDT'
 timeframe = '1h'
-limit = 100000
+limit = 1000
 lags = 12
 test_size = 0.3
 
 ohlcv_data = fetch_ohlcv_data(symbol, timeframe, limit)
 df = data_to_dataframe(ohlcv_data)
 
+if st.button("hoo"):
+    st.write(df)
+
 X, y = prepare_dataset(df, lags)
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=test_size)