app.py

import streamlit as st
import pandas as pd
import ta
import requests
import json

def load_data(file_path):
    data = pd.read_csv(file_path)
    return data

def calculate_indicators(data):
    if len(data) > 0:
        data['RSI'] = ta.momentum.rsi(data['Close'], window=14)
        data['Stochastic'] = ta.momentum.stoch(data['High'], data['Low'], data['Close'], k=14, d=3)['STOCHk_14_3_3']
        macd = ta.trend.macd(data['Close'], window_slow=26, window_fast=12, window_sign=9)
        data['MACD'] = macd['MACD_12_26_9']
        data['SMA'] = ta.trend.sma_indicator(data['Close'], window=50)
        data['EMA'] = ta.trend.ema_indicator(data['Close'], window=50)
    else:
        data['RSI'] = pd.Series([None]*len(data))
        data['Stochastic'] = pd.Series([None]*len(data))
        data['MACD'] = pd.Series([None]*len(data))
        data['SMA'] = pd.Series([None]*len(data))
        data['EMA'] = pd.Series([None]*len(data))
    return data

def generate_signals(data):
    buy_signal = None
    sell_signal = None
    if len(data) < 1:
        return buy_signal, sell_signal
    latest_data = data.iloc[-1]
    if latest_data['RSI'] < 30 and latest_data['Stochastic'] < 20:
        buy_signal = (latest_data.name, latest_data['Close'], latest_data['Close'] * 0.95, "High Risk", 3)
    elif latest_data['RSI'] > 70 and latest_data['Stochastic'] > 80:
        sell_signal = (latest_data.name, latest_data['Close'], latest_data['Close'] * 1.05, "High Risk", 3)
    return buy_signal, sell_signal

def get_fear_and_greed_index():
    response = requests.get("https://api.alternative.me/fng/?limit=1")
    if response.status_code == 200:
        return response.json()["data"][0]["value"]
    else:
        return None

def get_crypto_data_from_coinmarketcap(api_key, crypto_symbol):
    url = "https://pro-api.coinmarketcap.com/v1/cryptocurrency/quotes/latest"
    parameters = {'symbol': crypto_symbol, 'convert': 'USD'}
    headers = {'Accepts': 'application/json', 'X-CMC_PRO_API_KEY': api_key}
    response = requests.get(url, headers=headers, params=parameters)
    data = response.json()
    return data['data'][crypto_symbol]['quote']['USD']

def get_crypto_news(api_key, crypto_symbol):
    url = f"https://newsapi.org/v2/everything?q={crypto_symbol}&apiKey={api_key}"
    response = requests.get(url)
    return response.json().get('articles', [])

def analyze_news_sentiment(news):
    for article in news:
        article['sentiment'] = 'Neutral'  # Placeholder for sentiment analysis
    return news

def load_api_keys():
    with open("api_keys.json", "r") as file:
        return json.load(file)

def main():
    st.title("Cryptocurrency Dashboard")

    menu = ["Home", "News"]
    choice = st.sidebar.selectbox("Menu", menu)
    language = st.sidebar.selectbox("Language", ["English", "Farsi"])

    if choice == "Home":
        if language == "English":
            st.subheader("Cryptocurrency Data")
        else:
            st.subheader("داده‌های ارز دیجیتال")

        data_file = st.file_uploader("Upload CSV", type=["csv"])
        if data_file is not None:
            data = load_data(data_file)
            data = calculate_indicators(data)
            st.dataframe(data)

            buy_signal, sell_signal = generate_signals(data)
            if buy_signal:
                st.success(f"Buy Signal: {buy_signal}")
            if sell_signal:
                st.error(f"Sell Signal: {sell_signal}")

    elif choice == "News":
        if language == "English":
            st.subheader("Cryptocurrency News")
        else:
            st.subheader("اخبار ارز دیجیتال")

        crypto_symbol = st.selectbox("Cryptocurrency Symbol", ["BTC", "ETH", "LTC", "BCH"])
        api_keys = load_api_keys()
        if 'newsapi_key' in api_keys and api_keys['newsapi_key']:
            news = get_crypto_news(api_keys['newsapi_key'], crypto_symbol)
            news = analyze_news_sentiment(news)

            sort_by = st.radio("Sort News By", ("publishedAt", "relevancy", "popularity"), index=0)
            news = sorted(news, key=lambda x: x[sort_by])

            if language == "English":
                st.subheader(f"News for {crypto_symbol}")
            else:
                st.subheader(f"اخبار برای {crypto_symbol}")

            page = st.slider("Select page", min_value=1, max_value=(len(news) // 5) + 1)
            news_to_display = news[(page - 1) * 5: page * 5]

            for article in news_to_display:
                st.write(f"Title: {article['title']}")
                st.write(f"Description: {article['description']}")
                st.write(f"Sentiment: {article['sentiment']}")
                st.write(f"Published At: {article['publishedAt']}")
                st.write(f"Read more: [Link]({article['url']})")
        else:
            if language == "English":
                st.warning("API key for NewsAPI is not set. Please contact the admin.")
            else:
                st.warning("کلید API برای NewsAPI تنظیم نشده است. لطفاً با مدیر تماس بگیرید.")

if __name__ == '__main__':
    main()