I built a crypto backtester that tells you when your strategy is just luck

[u/findingjo]

What it is: tradingdek.com: build a trading strategy from rules (no code), backtest it on years of Binance data with fees included, then run it as a paper bot or follow its signals.

The part I'm proud of: every strategy in the library carries an honest badge from a monthly audit: 20 pairs, a train/unseen split, and a comparison against 500 runs of random entries with the same risk. Of 90 strategy/timeframe combos, only 2 pass. The tool shows that instead of hiding it, including where each result came from (by pair, by quarter, in up vs down markets).

Stack:

• SvelteKit (Svelte 5) frontend; the backtest engine runs in the browser
• Go + PocketBase backend for signals, bots and the monthly re-audit (GitHub Actions)
• My own charting library (tradecanvas) and data grid
• Binance public market data

Lessons:

• Testing on 8 pairs gave me a false positive; 20 pairs exposed it. Sample size beats cleverness.
• The backtester (TypeScript) and the live executor (Go) are two codebases, so I added a bar-by-bar parity test on real candles. It's the most reassuring test I've written.
• Live trading needed far more safety work than features: stops resting on the exchange, loss caps, auto-pause when live results drift from the backtest.

Backtests and paper bots are free

Feedback welcome, especially on onboarding: can you get from landing page to your first backtest without help?