Free module · Research & investment
Candles, Structures & Pattern Research
Read a chart precisely. Turn a visual observation into a causal rule, then test whether it adds an edge.
OHLCV · structures · indicators · pattern validation
The building blocks
A candle summarizes prices during one interval. Learn its geometry before interpreting a pattern or attaching a trade to it.
- Read open, high, low and close
- Define shapes and market structures causally
- Test a complete entry and exit rule
Lessons in this module
- First principles: what a candle actually records
- Doji, hammer, shooting star and long-body bars
- Engulfing, inside bars and multi-candle sequences
- Trends, ranges, breakouts and chart structures
- Indicators as arithmetic: ATR, moving averages, RSI and bands
- Known strategy families: from chart idea to complete rules
- Pattern recognition: rules, features, shapelets and image models
- Quantitative recognition I: build a causal candle feature table
- Quantitative recognition II: shapelets and constrained dynamic time warping
- Quantitative recognition III: causal encoders and contrastive learning
- Quantitative recognition IV: GAF images, CNNs, transformers and visual-model audits
- Quantitative recognition V: calibrate, abstain and test the complete strategy
- Research review: what the evidence does and does not establish
Practice and apply
- From a candle observation to an explicit risk budget — A completed synthetic candle has O=100,H=102,L=94,C=101.5. Equity is $10,000. Hypothetical next entry=102, stop=94, risk budget=1%, round-trip cost=$0.10 per share.
- Signed candle body — O=102,C=101,H=104,L=100. Find signed body fraction.
- DTW grid update — Squared mismatch=.25; permitted predecessor costs=.4,.1,.3. Find this cell cost.
- Squared embedding distance — Find squared distance between [1,0] and [.8,.2].
- GASF entry — Scaled values are .6 and .8. Compute their GASF entry.
- Break-even probability — Mean win=$10, mean loss=$20, cost=$1. Find break-even win probability.
Work through the practice exercises · Quant development tools