Create app.py

app.py

@@ -0,0 +1,130 @@
+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()
+