Uploaded June 2021 | Updated September 2026, 2 hours ago
Want to start your own crypto analysis?
Keen to apply a little Python or Data Science to your finances?
Well this series is for you!
In this video, we'll kick off the MLTrader series where we're going to take a look at how to apply machine learning and data science to trading and finance. In this first episode we'll take a look at how to extract and analyse real time securities and crypto data from Binance using the API and Pandas.
In this video you'll learn how to:
1. Setup the Binance API for Data Analysis
2. Pull OHLCV, Depth and Ticker data from Binance using Python
3. Perform Exploratory Data Analysis with Binance Data
4. Visualise Candlesticks using MPLFinance
Get the code for this tutorial: github.com/nicknochnack/BinanceEDA
Links Mentioned
Binance: binance.com/en
Python Binance: python-binance.readthedocs.io/en/latest
MPLFinance: github.com/matplotlib/mplfinance
Pandas Crash Course: youtu.be/tRKeLrwfUgU
Chapters
0:00 - Start
0:39 - What's Covered
1:58 - Tutorial Start
3:20 - 1. Setup
10:48 - 2. Authenticate
11:38 - 3. Get Ticker Data from Binance
17:58 - 4. Get Market Depth
21:16 - 5. Get Historical OHLCV Data
30:44 - 6. Preprocess and Explore OHLCV using Pandas
37:41 - 7. Visualize Candlesticks using MPLFinace
42:21 - Wrap Up
Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
Want to start your own crypto analysis?
Keen to apply a little Python or Data Science to your finances?
Well this series is for you!
In this video, we'll kick off the MLTrader series where we're going to take a look at how to apply machine learning and data science to trading and finance. In this first episode we'll take a look at how to extract and analyse real time securities and crypto data from Binance using the API and Pandas.
In this video you'll learn how to:
1. Setup the Binance API for Data Analysis
2. Pull OHLCV, Depth and Ticker data from Binance using Python
3. Perform Exploratory Data Analysis with Binance Data
4. Visualise Candlesticks using MPLFinance
Get the code for this tutorial: github.com/nicknochnack/BinanceEDA
Links Mentioned
Binance: binance.com/en
Python Binance: python-binance.readthedocs.io/en/latest
MPLFinance: github.com/matplotlib/mplfinance
Pandas Crash Course: youtu.be/tRKeLrwfUgU
Chapters
0:00 - Start
0:39 - What's Covered
1:58 - Tutorial Start
3:20 - 1. Setup
10:48 - 2. Authenticate
11:38 - 3. Get Ticker Data from Binance
17:58 - 4. Get Market Depth
21:16 - 5. Get Historical OHLCV Data
30:44 - 6. Preprocess and Explore OHLCV using Pandas
37:41 - 7. Visualize Candlesticks using MPLFinace
42:21 - Wrap Up
Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
