Learn
Step-by-step tutorials for indicators, strategies, custom drawing, optimization, and the AI reference.
- 01. Your first Python indicator
A guided 6-step walkthrough that ends with a working `dual_sma.py` indicator: two moving averages plus a fill that turns green when fast is above slow and red when it crosses below.
- 02. Your first Python strategy
A guided walkthrough that ends with `ema_cross.py`: a long-and-short EMA crossover strategy, with tags so the analyzer can split breakout-style entries from pullback-style entries in the per-tag st...
- 03. Custom canvas drawing
Walks through the `custom_layer()` API. You will end with a `session_marks.py` indicator that draws a vertical dashed line at every N-minute boundary and a small text label at each one. This is the...
- 04. Your first Rust TBBO strategy
A guided walkthrough that ends with `imbalance.rs`: a TBBO strategy that goes long when bid pressure dominates and CVD is rising, short when the inverse. No EMAs, no SL/TP, just tick-level microstr...
- 05. Optimization, tags, and sweeps
Take a working strategy from a single-day backtest to a 700-combo sweep without melting your CPU. You will use `@day_start`, `required_columns`, and tags to control the analyzer's parallelism story...
- AI Reference (.md)
A single token-optimized markdown file you can drop into ChatGPT, Claude, or any LLM. Pasting it as context lets the model write Quant Charts indicators and strategies without hallucinating signatu...