How to use Binance API with Python to pull crypto data, analyse it (EMAs) and create a Streamlit App

Learn how to connect to the Binance API using Python, analyze crypto data with EMAs, and build a fully interactive Streamlit app from scratch! 🚀

🔑 What you'll learn in this video:
1. Connect to Binance API: Set up the Binance client using your API Key and Secret.
2. Pull Crypto Data: Create a function to fetch data for any crypto pair, interval, and lookback time.
3. Analyze with EMAs: Add new EMA fields (20, 50, 100, 200) to your data for better trend analysis.
4. Visualize with Candlesticks: Build an interactive candlestick chart with EMA overlays for a clear view of market trends.
5. Build a Streamlit App: Let users input their crypto pair, interval, and lookback time to dynamically fetch and analyze crypto data. Display the latest prices, EMAs, and a stunning candlestick chart in real-time!
📊 Perfect for crypto enthusiasts, traders, and developers looking to level up their Python and Streamlit skills.
💻 Code & Resources: Link to GitHub repo (if applicable)
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#Python #Crypto #BinanceAPI #Streamlit #CryptoTrading #CandlestickChart #EMAAnalysis

🔗 Chapters:
00:00 – Intro
01:21 – Binance API
02:29 – Function to pull data
04:48 – Adding the EMAs
07:41 – Plotting our Data

Python Part 1:    • How to use Binance API with Python to pull...  
Streamlit Part 2:    • How to create a Crypto Application with Py...  

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