What market data does it support?

The included adapter downloads public MEXC candle data and keeps provider details isolated for extension.

Can I test it before buying?

Yes. The public repository contains a dependency-free deterministic Python backtesting demo.

RESEARCH → TEST → REJECT → IMPROVE

Name: Strategy Research Kit
Price: 19 USD
Availability: InStock

A complete Python toolkit for public MEXC data, conservative execution simulation, chronological walk-forward evaluation, and guarded Pine v6 export.

One-time purchase • Python source included

Illustrative chart • no profit claims

Conservative fillsNext-bar execution, adverse ticks, costs, stop-first ambiguity, and contract limits.

Walk-forward gatesChronological 50/20/30 split with expectancy, drawdown, stability, and concentration checks.

Auditable outputEvery accepted and rejected candidate is recorded in deterministic JSON and Markdown.

Four strategy familiesTrend pullback, volatility breakout, failed break, and momentum.

Ready to extendModular indicators, data, execution, evaluation, reports, and strategy adapters.

Guarded Pine exportPine v6 source is generated only after every validation gate passes.

28 automated tests passing.
Tested parsing, indicators, execution, no-look-ahead behavior, validation gates, reports, and export safeguards.
View a real sample report → · Read the validation guide →

Does it provide signals?No. It is research software for testing hypotheses and rejecting weak strategies.

Which data source is included?A public MEXC candle-data adapter, isolated so other providers can be added.

Can I try it first?Yes. Run the dependency-free deterministic demo from the public GitHub repository.

Research software only. Not financial advice, signals, or a promise of profit. Historical simulations can differ materially from live execution.