The only question left after picking your tool is: what to learn from. This post collects official documentation, written guides, and video tutorials for six tools—backtesting.py, Freqtrade, lightweight-charts, vectorbt, backtrader, and Jesse—into one place. Every single link was actually opened and verified on 2026-09-08, not one broken. Each section ends with a clear path: from setting up the environment to running your first backtest chart, with an estimated time.
The previous post covered the tool comparison. This is the second half—once you’ve picked your tool, the common bottleneck is “the docs are too long, the videos are too old, and half the third-party tutorials are SEO farms.” I filtered everything down to one verified best resource per tool, 21 links in total.
| Tool | Fastest to First Chart | Best Resource Type |
|---|---|---|
| backtesting.py | 30 min | Official Quick Start |
| Freqtrade | Half a day | Official docs (best of the six) |
| lightweight-charts | 1 hour | Official tutorial (third-party mostly outdated) |
| vectorbt | Half a day | Official homepage + AlgoTrading101 |
| backtrader | Half a day | Video for concepts + Official Quickstart |
| Jesse | Half a day | Videos by the author himself |
backtesting.py — Fastest to First Chart
Official Documentation
- Official Docs Homepage — API reference and examples library entry point
- Quick Start User Guide — Walks through the full pipeline of a SmaCross strategy: define → backtest → optimize, in executable Jupyter format. Follow along and you’ll get it
Written Tutorials
- Backtesting.py — An Introductory Guide to Backtesting with Python(AlgoTrading101) — The clearest third-party guide on entry/exit logic, order parameters, and the Strategy API
- Backtesting.py — A Complete Quickstart Guide(Greyhound Analytics) — Covers more ground than the official guide: RSI strategy example, parameter optimization, heatmaps, multi-timeframe, take-profit/stop-loss
Video Tutorials
- Backtesting.py — Full course in python(Chad Thackray) — Full-length course, from zero to writing your own strategy
Path: Run through the official Quick Start (first chart in 30 min) → fill gaps with AlgoTrading101 → consult Greyhound when you need parameter optimization and heatmaps.
Freqtrade + FreqUI — Most Like a Full TV Backtest Suite
The best official documentation of all six tools; you barely need any third-party resources.
Official Documentation
- Freqtrade — Introduction — Official mainline from Docker install through dry-run
- Strategy 101 — How to write your first strategy: indicators, buy/sell signals, full backtest workflow
- FreqUI Docs — Web dashboard, live backtest views, chart configuration, CORS settings
Written Tutorials
- Freqtrade Algorithmic Trading Tutorial (Concise) — One continuous post covering install, config, strategy development, backtest, and live trading. Great if you dislike flipping through the official docs TOC
Video Tutorials
- Backtest Your Crypto Strategies with Freqtrade (Full Setup Tutorial)(Yurii Kuzemko) — Complete setup tutorial from install to running your first backtest
Path: Get through the official Introduction for install → write your first strategy with Strategy 101 → get familiar with the web UI via the FreqUI docs.
lightweight-charts — Same Candlestick Engine as TV
This one is a bit special: it’s a charting library, not a backtester. The official tutorials are high quality and sufficient; most third-party tutorials are outdated or broken. Only verified official resources listed here.
Official Documentation
- Official Docs Homepage — API reference entry point
- First steps: Create your first chart — Full candlestick chart example code, copy and run
- Official Product Page — Feature overview and live demo
Video Tutorials
- Getting started with TradingView lightweight charts(Chad Thackray) — Practical example of pulling live Binance data and charting it
Path: Run the creating-a-chart tutorial example directly → watch Chad Thackray’s video to see how to connect real-time data → feed your own backtest results in and chart them.
vectorbt — Fastest for Parameter Sweeps
Official Documentation
- vectorbt Official Getting Started — The homepage itself is a massive quick-start guide, with a complete dual-moving-average-crossover (DMAC) example built in
Written Tutorials
- VectorBT — An Introductory Guide(AlgoTrading101) — Multi-asset MA crossovers,
run_combsparameter combinations, heatmaps,Portfolio.from_signals— covers all of vectorbt’s killer features
Video Tutorials
- Vectorbt for beginners — Full Python Course(Chad Thackray) — Beginner-friendly full course
- Freqtrade vs Backtrader vs VectorBT Comparison(Tutorials With Nathan) — Side-by-side comparison of all three frameworks. If you’re unsure whether to pick vectorbt, watch this first
Path: Run the DMAC example on the official homepage → learn parameter combos and heatmaps from AlgoTrading101 → go straight to vectorbt when you need to scan large parameter grids.
backtrader — Old-School Stock-Friendly
Official Documentation
- Backtrader Official Quickstart — The classic “from zero to cerebro” tutorial; builds the entire concept system: cerebro, data feed, strategy, analyzer
Written Tutorials
- Backtrader for Backtesting — A Complete Guide(AlgoTrading101) — Install, data feeding, MA crossover, parameter optimization, plotting, CSV export. More practical than the official quickstart
Video Tutorials
- Introduction to BACKTRADER(Algovibes) — Entry-level walkthrough. Watch this first to build intuition before diving into the docs
Path: Algovibes video for concepts → run through the official Quickstart’s cerebro flow → fill in optimization and plotting with AlgoTrading101. Note: the project hasn’t had a new release in nearly two years, so when you hit issues, search the community rather than the official repo.
Jesse — Full-Stack Crypto Quant
One advantage this tool has over the rest: the video presenters are the author himself (Saleh), so the content never goes stale or drifts from the current version.
Official Documentation
- Jesse — Getting Started — Environment setup, project template, getting it running
- Jesse Website — Feature overview
Written Tutorials
- Jesse Framework: Beginner Crypto Bot Guide(VibeTrading) — Installation, project structure, example strategy, backtest, machine learning, live trading. The most comprehensive third-party tutorial available
Video Tutorials
- Algo-trading with Jesse in 100 seconds(Algo-trading with Saleh, the author) — 100-second overview of what Jesse is
- How to set up Jesse on Windows(same author) — Windows installation walkthrough; for Ubuntu see this video
Path: 100-second video to understand the positioning → official Getting Started to set up the environment → VibeTrading guide to write your first strategy.
Summary Table for Bookmarking
| Tool | Official Quick Start | Third-Party Written | Video Tutorials |
|---|---|---|---|
| backtesting.py | Quick Start | AlgoTrading101 · Greyhound | Chad Thackray Full Course |
| Freqtrade | Strategy 101 · FreqUI | Concise Tutorial | Full Setup |
| lightweight-charts | Creating a chart | Official tutorials are sufficient | Chad Thackray |
| vectorbt | Official homepage | AlgoTrading101 | Full Course · Three-Framework Comparison |
| backtrader | Official Quickstart | AlgoTrading101 | Algovibes |
| Jesse | Getting Started | VibeTrading Guide | 100 Seconds · Install Walkthrough |
Two Things to Keep in Mind
- Video or docs first?: If you’re unfamiliar with backtesting concepts themselves (cerebro, signals, equity curves, etc.), watch your chosen tool’s video first to build intuition. If you already have the concepts down, the official quick-start docs are the fastest route.
- Tutorial recency: vectorbt tutorials are all based on the free core version; the Pro UI is only covered in the invite-only docs on the official site. backtrader tutorials tend to be old but the core concepts haven’t changed. Jesse 3.x and 2.x have significant CLI differences, so follow tutorials from 2024 onward.
Related reading: 《Replicating TradingView’s Strategy Backtest UI Without a Paid Plan: 6 Open-Source Local Deployments》 · 《What TradingView’s Free Tier Actually Limits, and Legit Free Alternatives》
21 links, last verified on 2026-09-08. backtesting.py’s own Quick Start estimates 30 minutes from environment setup to your first chart.