🔒 debuging my trading bot (python/streamlit)

[tender estuary]

i've been trying to fix the plotly for the past 2 weeks and i'm unable to. can anyone give a look at my code and see what's wrong? thanks in advance, any sort of help is greatly appreciated

[mortal fractal]

@tender estuary

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[tender estuary]

# Forecasting Module
    df_model = df.dropna().copy()
    df_model["days_since_start"] = (df_model.index - df_model.index.min()).days
    daily_avg_close = df_model[["days_since_start", "Close"]].rename(columns={"Close": "close"})

    X = daily_avg_close["days_since_start"].values.reshape(-1, 1)
    y = daily_avg_close["close"].values
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=10)

    poly = PolynomialFeatures(degree=2)
    X_poly_train = poly.fit_transform(X_train)
    model = LinearRegression()
    model.fit(X_poly_train, y_train)

    # Calculating future dates in terms of days since the start
    last_day = df_model["days_since_start"].max()
    future_days_count = 365  # Predict one year into the future
    future_days_since_start = np.arange(last_day + 1, last_day + 1 + future_days_count).reshape(-1, 1)

    # Predicting future prices
    X_future_poly = poly.transform(future_days_since_start)
    y_future_pred = model.predict(X_future_poly)

    # Creating the corresponding date range for the future predictions
    start_date_model = df_model.index.min()
    future_dates = [start_date_model + datetime.timedelta(days=int(day)) for day in future_days_since_start]

    # Plotting the forecast
    fig_forecast = go.Figure()
    # fig_forecast.add_trace(go.Scatter(x=df_model["days_since_start"], y=df_model["Close"],
    #                                   name="Historical Close Price", line=dict(color="green")))
    fig_forecast.add_trace(go.Scatter(x=future_days_since_start.flatten(), y=y_future_pred,
                                      name="Predicted Close Price", line=dict(color="blue", dash="dash"),
                                      mode='lines'))  # Explicitly set mode to 'lines'
    fig_forecast.update_layout(title="Historical and Predicted Stock Prices",
                               xaxis_title="Days Since Start",
                               yaxis_title="Closing Price",
                               width=1100, height=600, hovermode="x unified")
    st.subheader(":package: Forecast & Backtesting View")
    st.plotly_chart(fig_forecast, use_container_width=False)

[mortal fractal]

@tender estuary

Python help channel closed for inactivity

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