Manaregr8/Bitcoin_Predicter

1import streamlit as st
2import yfinance as yf
3import pandas as pd
4from prophet import Prophet
5from datetime import datetime, timedelta
6
7def fetch_historical_data(ticker, period_days=365):
8    data = yf.download(ticker, period=f"{period_days}d", interval="1d")
9    data = data[['Close']].reset_index()
10    data.columns = ['ds', 'y']
11    return data
12
13# Convert USD to INR (approximate rate)
14INR_RATE = 83.0  # you may update this dynamically
15
16def predict_prices(days, ticker='BTC-USD'):
17    if ticker != 'BTC-USD':
18        return None
19    # fetch last 365 days
20    hist = fetch_historical_data(ticker)
21    model = Prophet(daily_seasonality=True)
22    model.fit(hist)
23    future = model.make_future_dataframe(periods=days)
24    forecast = model.predict(future)
25    # take only forecast for future days
26    future_forecast = forecast.tail(days)[['ds', 'yhat']]
27    # convert to INR and format
28    results = []
29    for _, row in future_forecast.iterrows():
30        date_str = row['ds'].strftime('%Y-%m-%d')
31        inr_val = row['yhat'] * INR_RATE
32        # convert to lakhs
33        lakh_val = inr_val / 1e5
34        results.append(f"{date_str} ➤ ₹{lakh_val:.2f}L")
35    return results
36
37# Streamlit app
38def main():
39    st.set_page_config(page_title="BTC Price Predictor", layout="wide")
40    st.title("📈 BTC-USD Price Predictor")
41
42    with st.form("predict_form"):
43        ticker = st.text_input("Enter currency (BTC-USD only):", "BTC-USD")
44        days = st.number_input("Days to predict:", min_value=1, max_value=365, value=30)
45        submit = st.form_submit_button("Predict")
46
47    if submit:
48        output = predict_prices(days, ticker)
49        if output is None:
50            st.error("Invalid ticker. Only BTC-USD supported.")
51        else:
52            for line in output:
53                st.write(line)
54
55if __name__ == '__main__':
56    main()
57