Important
Financial Disclaimer: This website is solely for educational purposes. Trading and investing in financial markets involves significant risk of loss and is not suitable for every investor. The content provided here does not constitute financial, investment, or trading advice. Always conduct your own research or consult with a qualified professional before making any financial decisions.
This is a stock analysis website that educates users about different topics using animation and guided learning. It is focused on teaching users about different topics surrounding how to view situations looking at tick (time and sales), L2 data, order flow, and other market microstructure concepts.
These are the list of topics that when the user first vists the website, they can click to learn.
Watch for rapid, high-volume changes on either side. An increase in bid size toward the ask price suggests a potential breakout, while an increasing ask price suggests a bullish trend.
Uses: L2
Topic 3: Detect Hidden Liquidity ("Icebergs")
If a high volume of orders is filled at a certain price, but the Level 2 size at that price does not decrease significantly, it indicates a large, hidden institutional order.
Uses: L2
Traders use Level 2 to watch for "spoofing"—large orders placed and canceled rapidly to fake high demand or supply. Confirming orders with the "Time and Sales" window helps distinguish real orders from fake ones.
Uses: L2, Time & Sales (tick)
Recognizing specific MMIDs can signal when large institutions are buying or selling, allowing you to follow the trend. Market Maker IDs (MMID): Identifies the institutions (e.g., NITE, GSCO) participating, helping track institutional flow.
Uses: Time & Sales (tick), maybe L2
This website is deployed to GitHub Pages. To update the live site, run:
npm run deployThis will automatically build the project and push it to the gh-pages branch.
I'm open to contributions! If you have ideas for new topics, improvements to existing ones, or bug fixes, feel free to open an issue or submit a pull request.