Blog
Data-driven insights on chart patterns, market structure, and how visual pattern search works.
AI Stock Chart Pattern Recognition: How Machine Learning Finds Historical Analogs
How Chart Library uses DINOv2 vision transformers and vector similarity search to match stock chart patterns against 10 years of historical data — and why it works better than traditional pattern detection.
Double Bottom Pattern: What the Data Shows
We analyzed our database of 16 million chart patterns to measure real double bottom performance. Success rates, average returns, and what separates reliable double bottoms from traps.
Cup and Handle Pattern: Historical Success Rate
What does the data actually say about cup and handle patterns? We measured real success rates, average returns, and optimal entry timing across 16 million historical charts.
How to Read Stock Chart Patterns: A Data-Driven Guide
Learn to read stock chart patterns with data, not dogma. A comprehensive guide to the most common patterns, what the data says about each one, and how to use historical precedents instead of guesswork.
Ascending Triangle Pattern: Does It Actually Work?
We tested the ascending triangle pattern against 16 million historical charts. Real breakout success rates, failure rates, and the volume signals that actually predict outcomes.
What Happens After a Stock Breaks Out? Data from 16 Million Charts
We analyzed breakout patterns across 16 million historical charts to answer the question every trader asks: what actually happens after a stock breaks out? Success rates, follow-through data, and what separates real breakouts from traps.
How to Find Similar Chart Patterns in Seconds
A step-by-step guide to using Chart Library's visual search engine to find historically similar stock chart patterns and see what happened next.
Do Chart Patterns Actually Predict Returns? What the Data Says
We analyzed millions of historical chart patterns to answer the age-old question: do chart patterns have predictive power? Here's what the data shows.
Bull Flag Pattern: What 16 Million Charts Tell Us
We analyzed millions of chart embeddings to measure real bull flag performance. Average returns, win rates, and how to spot the setups that actually work.
Stock Breakout Patterns in 2025: Lessons from the Data
What worked and what didn't in stock breakout patterns during 2025. Data-driven analysis of breakout success rates, failed breakouts, and key takeaways.
How Chart Library's Screenshot Search Actually Works
A technical explainer on how Chart Library converts a stock chart screenshot into a searchable embedding and finds matching patterns across millions of historical charts.
Head and Shoulders Pattern: Does It Actually Work?
We measured the real performance of head and shoulders patterns across thousands of stocks. Win rates, average returns, and what separates reliable signals from noise.
Stock Chart Analysis: A Data-Driven Guide for Beginners
Learn the fundamentals of stock chart analysis with a modern, data-driven approach. No guesswork — just patterns, statistics, and what the historical record actually shows.
Chart Pattern Scanners Compared: How Chart Library Is Different
A comparison of chart pattern scanning tools — TradingView, TrendSpider, Finviz — and how Chart Library's embedding-based approach differs from rule-based pattern detection.