---
title: "Learn algo trading, plainly · Trado Strategy Lab"
description: "Plain-language guides to the eight things that trip up crypto algo traders: lying backtests, code, data, overfitting, going live, leverage, cost and who to ask."
canonical: "https://algo.trado.trade/learn"
lastModified: "2026-10-06"
---

# Learn algo trading without the jargon

Eight guides, one for each thing that most often goes wrong between an idea and a strategy you can trust. Each explains the problem with concrete examples and shows how Trado Strategy Lab handles it.

## The eight problems

Start with the one that sounds most like you.

- [Why most crypto backtests lie](https://algo.trado.trade/learn/why-backtests-lie.md): Look-ahead, missing costs, survivorship and ignored liquidation flatter backtests. A checklist to test any backtest, and how the Lab answers each point.
- [Algo trading without code](https://algo.trado.trade/learn/algo-trading-without-code.md): Pine Script, Python and APIs keep good ideas untested. What real no-code algo trading looks like: plain words in, readable rules out, Python if you want it.
- [Crypto data for backtesting: the chore before the strategy](https://algo.trado.trade/learn/crypto-data-for-backtesting.md): Clean 1-minute crypto data is a project before it is a strategy. What good backtesting data needs, where DIY pipelines break, and what the Lab holds.
- [Overfitting feels like success](https://algo.trado.trade/learn/overfitting-in-backtests.md): Tune a strategy long enough and the past looks perfect. Why overfitting feels like success, and the checks that expose it: holdouts, walk-forward, stability.
- [From backtest to live: closing the cliff](https://algo.trado.trade/learn/from-backtest-to-live.md): Why strategies break between a backtest and a live bot, and a sane path through paper trading. The Lab runs the same rules in both, so nothing is rewritten.
- [Leverage and liquidation, explained](https://algo.trado.trade/learn/leverage-and-liquidation-explained.md): At 20×, a move of about 4.5% against you wipes out the margin. How liquidation price works on crypto perpetuals, isolated versus cross, and what to check.
- [What algo trading tools really cost](https://algo.trado.trade/learn/what-algo-trading-tools-cost.md): Subscriptions for tools you use twice a month add up. What to look for in algo trading pricing, and how credits priced by the work compare.
- [Learn algo trading with someone to ask](https://algo.trado.trade/learn/learn-algo-trading-with-ai.md): Forums and videos cannot explain your own strategy; an AI that reads your actual runs can. What to ask, a learning loop, and where AI needs checking.

## Next steps

- [Join the waitlist](https://algo.trado.trade/waitlist)
- [See pricing](https://algo.trado.trade/pricing)

## Related

- [Crypto backtesting after every cost](https://algo.trado.trade/backtesting.md): Backtest crypto perpetuals on years of 1-minute data for 900 coins, after fees, funding, slippage and liquidation, with a verdict that admits weak evidence.
- [Algo trading for beginners](https://algo.trado.trade/for-beginners.md): Start algo trading without code or a data pipeline: describe an idea, backtest it honestly, ask the Copilot why, and paper-trade before you risk a rupee.
- [AI strategy builder, no code needed](https://algo.trado.trade/ai-strategy-builder.md): Describe a trading idea in plain words and the Copilot drafts the rules. Refine them in a form or on a canvas, or write Python. No code required.