You can already access the data. Now build the system that uses it.
A hands-on program in Python-based algorithmic trading — for active traders who want to streamline research, test strategies, and catch trade opportunities in real time.
You have the data access. This course builds the system around it.
Stock market data and trading platforms are easier to access than ever. What's missing for most active traders is the systematic layer — a way to streamline research, backtest strategies, and identify trade opportunities in real time, instead of watching charts manually.
This course will not teach you a trading strategy. You're expected to bring your own, or be motivated to research one — the course teaches the Python infrastructure that turns a strategy into a working, testable system.
Prerequisites: comfort programming in Python, access to real-time market data (e.g. Polygon.io), and a Python IDE such as PyCharm. No Python background? A short introductory Python module is available before this course starts.
Nine modules — from your stock universe to real-time monitoring.
Quick Primer to Python & IDE
Python basics, syntax, data structures, Pandas, and getting comfortable in PyCharm.
Your Stock Universe Database
Build and maintain a database of your chosen stock universe — S&P100 by default, expandable to S&P500, Russell 3000, or penny stocks.
Data Retrieval, Cleaning & Filtering
Connect to Polygon.io for intraday data, then clean, integrate, and filter it down to what actually matters.
Technical Indicator Engineering
Implement, customize, and package indicators like moving averages and RSI so they're callable in your own strategy code.
Trading Strategy Testing & Algorithm Development
Program your strategy's logic into buy/sell signals — taught through a Moving Average Crossover example.
Identify Trades & Bucket List Database
Get alerted when stocks meet your criteria, and organize them into watchlists — Buy Now, Watch, and beyond.
Backtesting
Simulate your algorithm against historical data and assess returns, drawdowns, and Sharpe ratio.
Detect Trade Opportunities in Real Time
Build alerts that dynamically flag stocks emerging to meet your strategy's criteria.
Monitor Stocks in Real Time
Build callable visualizations to monitor your watchlists live, adding and removing stocks on the fly.
24 hours total, offered in the format that fits your schedule.
3-day intensive, evening classes, or part of the 6-month Associate program
Available as a 3-day bootcamp, two 2-hour evening sessions weekly for six weeks, or as a module inside Ambeone's Six-Month Associate in Big Data Analytics.
Retail traders, finance professionals, quants, developers, and fintech entrepreneurs
Suitable for anyone trading their own account, working in finance, or building a fintech idea — as long as you bring the willingness to work hands-on in Python.
Not a trading portal. Not a strategy course. Not for high-frequency trading.
This course won't execute trades for you, won't hand you a strategy, and isn't built for second-level high-frequency trading — it's for intraday and longer horizons.