Guided curriculum · Research before risk

Learn to test the idea, not just the chart.

A practical path through hypothesis design, data integrity, backtesting, optimization, risk controls, and reproducible Freqtrade research.

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Learning path

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1 · Research foundations

Build a testable trading hypothesis

Goal Turn a market observation into a claim that could be disproved. Lesson “This indicator works” is not a useful hypothesis. Describe the behavior, the market conditions where it should oc

2 · Research foundations

Data, candles, and signal timing

Goal Know which data a decision can use and identify common integrity failures. Lesson An OHLCV candle summarizes open, high, low, close, and volume over a time interval. A signal calculated

3 · Evaluation

Design a credible backtest

Goal Build a reproducible experiment that makes its assumptions visible. Lesson Write down the date range, market universe, timeframe, exchange, fee assumptions, order model, startup history

4 · Evaluation

Tune parameters without chasing noise

Goal Understand why repeated search makes the best historical result look better than it may be. Lesson Every parameter combination is another chance to fit random variation. The winner of a

5 · Operations

Risk controls and forward observation

Goal Separate research evidence from decisions about putting capital at risk. Lesson Return alone hides path and execution risk. Review drawdown, losing streaks, concentration, liquidity, fe

6 · Research operations

Run a reproducible strategy review

Goal Move from an idea to a documented review without changing the running bot. Lesson Use the experiment record from the knowledge library. Keep candidate code and configs isolated. Run the

Study standard: use historical data carefully, keep an untouched evaluation period, account for costs, and paper-test frozen changes. No lesson generates trade signals or sends orders.