app.py

app.py

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+import streamlit as st
+import requests
+import pandas as pd
+import plotly.graph_objs as go
+import time
+
+# Function to fetch historical price data from CoinGecko
+def fetch_historical_data(coin_id, from_timestamp, to_timestamp):
+    url = f"https://api.coingecko.com/api/v3/coins/{coin_id}/market_chart/range?vs_currency=usd&from={from_timestamp}&to={to_timestamp}"
+    try:
+        response = requests.get(url)
+        response.raise_for_status()
+        data = response.json()
+        prices = data.get('prices', [])
+        return prices
+    except requests.RequestException as e:
+        return f"Error fetching historical data for {coin_id}: {e}"
+
+# Function to fetch current prices from CoinGecko
+def fetch_current_price(coin_id):
+    url = f"https://api.coingecko.com/api/v3/simple/price?ids={coin_id}&vs_currencies=usd"
+    try:
+        response = requests.get(url)
+        response.raise_for_status()
+        data = response.json()
+        return data.get(coin_id, {}).get('usd', 'N/A')
+    except requests.RequestException as e:
+        return f"Error fetching current price for {coin_id}: {e}"
+
+# Function to convert dates to timestamps
+def date_to_timestamp(date_str):
+    return int(pd.Timestamp(date_str).timestamp())
+
+# Function to plot historical prices using Plotly
+def plot_historical_prices(coin_name, from_date, to_date):
+    from_timestamp = date_to_timestamp(from_date)
+    to_timestamp = date_to_timestamp(to_date)
+    
+    prices = fetch_historical_data(coin_name, from_timestamp, to_timestamp)
+    
+    if isinstance(prices, str):  # In case of error
+        return prices
+    
+    try:
+        df = pd.DataFrame(prices, columns=['timestamp', 'price'])
+        df['date'] = pd.to_datetime(df['timestamp'], unit='ms')
+        
+        fig = go.Figure()
+        fig.add_trace(go.Scatter(x=df['date'], y=df['price'], mode='lines', name=coin_name))
+        fig.update_layout(title=f'{coin_name.capitalize()} Prices from {from_date} to {to_date}', xaxis_title='Date', yaxis_title='Price (USD)')
+        return fig
+    except Exception as e:
+        return f"Error plotting historical prices: {e}"
+
+# Function to provide TradingView widget HTML
+def tradingview_widget():
+    return """
+    <iframe 
+        src="https://www.tradingview.com/widgetembed/?frameElementId=tradingview_ea33b&symbol=BINANCE:BTCUSDT&interval=60" 
+        width="800" 
+        height="600" 
+        frameborder="0" 
+        allowtransparency="true" 
+        scrolling="no" 
+        allowfullscreen="true">
+    </iframe>
+    """
+
+# Functions for mocked analyses
+def analyze_order_book():
+    return "Order book analysis: Buying pressure above, selling pressure below."
+
+def analyze_technicals():
+    return "Technical analysis: Divergence detected, RSI showing overbought."
+
+def analyze_funding_rate():
+    return "Funding rate: Higher on longs, suggesting bullish sentiment."
+
+def analyze_on_chain():
+    return "On-chain analysis: Ichimoku cloud shows potential reversal."
+
+def analyze_news():
+    return "News analysis: Positive sentiment with increasing institutional interest."
+
+def btc_analysis():
+    order_book = analyze_order_book()
+    technicals = analyze_technicals()
+    funding_rate = analyze_funding_rate()
+    on_chain = analyze_on_chain()
+    news = analyze_news()
+    
+    return f"""
+    {order_book}
+    {technicals}
+    {funding_rate}
+    {on_chain}
+    {news}
+    """
+
+# Function to fetch real-time trade data from CoinGecko
+def fetch_real_time_trade_data(coin_id):
+    url = f"https://api.coingecko.com/api/v3/coins/{coin_id}/market_chart?vs_currency=usd&days=1"
+    try:
+        response = requests.get(url)
+        response.raise_for_status()
+        data = response.json()
+        prices = data.get('prices', [])
+        if prices:
+            return prices[-1]  # Latest price data
+        return "No real-time data available"
+    except requests.RequestException as e:
+        return f"Error fetching real-time trade data for {coin_id}: {e}"
+
+# Streamlit App Layout
+st.title("Cryptocurrency Dashboard")
+
+# Dropdown for selecting cryptocurrency
+top_100_cryptos = [
+    'bitcoin', 'ethereum', 'binancecoin', 'ripple', 'solana', 'cardano', 'dogecoin', 'polygon', 'polkadot', 'tron',
+    # Add more top coins as necessary
+]
+
+selected_crypto = st.sidebar.selectbox("Select Cryptocurrency", top_100_cryptos)
+
+# Tabs for different functionalities
+tab = st.sidebar.radio("Choose a Tab", ["Price Chart", "Current Price", "Real-Time Trade Data", "AI BTC Analysis", "TradingView Chart"])
+
+if tab == "Price Chart":
+    st.header("Cryptocurrency Price Chart")
+    from_date = st.date_input("From Date", value=pd.Timestamp("2024-01-01"))
+    to_date = st.date_input("To Date", value=pd.Timestamp("2025-12-31"))
+    
+    if st.button("Plot Chart"):
+        fig = plot_historical_prices(selected_crypto, from_date, to_date)
+        if isinstance(fig, str):  # In case of error
+            st.error(fig)
+        else:
+            st.plotly_chart(fig)
+
+elif tab == "Current Price":
+    st.header("Current Cryptocurrency Price")
+    price = fetch_current_price(selected_crypto)
+    st.write(f"The current price of {selected_crypto.capitalize()} is: ${price}")
+
+elif tab == "Real-Time Trade Data":
+    st.header("Real-Time Cryptocurrency Trade Data")
+    data = fetch_real_time_trade_data(selected_crypto)
+    if isinstance(data, str):  # In case of error
+        st.error(data)
+    else:
+        st.write(f"The latest trading data for {selected_crypto.capitalize()} is: ${data[1]}")
+
+elif tab == "AI BTC Analysis":
+    st.header("AI-Powered BTC Analysis")
+    analysis = btc_analysis()
+    st.write(analysis)
+
+elif tab == "TradingView Chart":
+    st.header("Live TradingView Chart")
+    st.markdown(tradingview_widget(), unsafe_allow_html=True)