# More tutorials (/tutorials/more-tutorials)

## PyQuant News \[#pyquant-news]

*PyQuant News* is a place for practitioners to level up their Python skills for quant finance, algorithmic
trading, and data analysis, featuring free quant code.

[The PyQuant Newsletter](https://pyquantnews.com/the-pyquant-newsletter/)

![PyQuant News](/assets/partners/pqn.png)

*   [How to use VectorBT PRO to algorithmically find chart patterns](https://pyquantnews.com/vectorbt-pro-algorithmically-find-chart-patterns/)
*   [Forecast future price trends (with projections)](https://pyquantnews.com/forecast-future-price-trends-with-projections/)
*   [Easily cross-validate parameters to boost your trading strategy](https://pyquantnews.com/easily-cross-validate-parameters-boost-strategy/)
*   [Quickly make a pairs trading strategy with 500 stocks](https://www.pyquantnews.com/the-pyquant-newsletter/quickly-make-pairs-trading-strategy-500-stocks)
*   [Backtest powerful intraday trading strategies](https://www.pyquantnews.com/the-pyquant-newsletter/backtest-powerful-intraday-trading-strategies)
*   [Backtest intraday trading strategies with VectorBT PRO](https://www.pyquantnews.com/the-pyquant-newsletter/intraday-backtesting-with-vectorbt-pro)

## Qubit Quants \[#qubit-quants]

*Qubit Quants* is an independent, professional, and open community dedicated to the research,
development, and discussion of quantitative analytics, financial machine learning, and algorithmic
trading.

[VectorBT PRO - Tutorial Series](https://qubitquants.github.io/vbt-tuts-toc/index.html)

![Qubit Quants](/assets/partners/qubit-quants.png)

*   [Align MTF data](https://qubitquants.github.io/aligning-mtf-data/index.html)
*   [Strategy development](https://qubitquants.github.io/strategydev/index.html)
*   [Plot indicators and signals](https://qubitquants.github.io/vbt_plot_strategy/index.html)
*   [Multi-asset simulation](https://qubitquants.github.io/multi_asset_portfolio_simulation/index.html)
*   [Custom dashboard](https://qubitquants.github.io/vbt_dashboard/index.html)
*   [Discretionary signals](https://qubitquants.github.io/discretionary-signals-bactesting/index.html)
*   [Custom simulator basics](https://qubitquants.github.io/customsim_0/index.html)
*   [Custom candlestick simulator](https://qubitquants.github.io/customsim_1/index.html)
*   [Custom stops simulator](https://qubitquants.github.io/customsim_2/index.html)
*   [Partial profits simulator](https://qubitquants.github.io/customsim_3/index.html)
*   [VectorBT PRO tutorials code](https://github.com/QubitQuants/vectorbt_pro_tutorials)

-   [Discretionary Signals Backtesting using VectorBT PRO](https://youtu.be/EQjdWAE613A?si=J6plzFmdBDSWBZoz)
-   [VectorBT PRO - Custom Plotly Dashboard](https://youtu.be/Mek2Q6JZwTw?si=j7c_E_uPbo3m_y5m)

## Chad Thackray \[#chad-thackray]

*Chad Thackray* creates educational programming content for traders on his YouTube channel. He
provides in-depth tutorials, coding insights, and practical applications to help improve trading strategies.

*   [VectorBT PRO install guide and subscriber perks](https://youtu.be/GkJEQ4fm2_E)
*   [VectorBT PRO - Multi Strategy Portfolios](https://www.youtube.com/watch?v=q4W3fkjB1aw\&list=PLnSVMZC68_e6ZJOp__mNzPlNDgAYstsyy\&index=1)
*   [Take Profit Ladders In VectorBT PRO](https://youtu.be/u4RABJMXhXc?si=wHrBS2HEVZ7btYsq)
*   [Cross Validation in VectorBT PRO](https://youtu.be/_BSSPZplLHs?si=-22bt2hXW9pUBXvg)
*   [Multiple Timeframe Analysis in VectorBT PRO](https://youtu.be/L6g3mslaTwE?si=viqfxQjMRjXSBGy7)

## Trade Science \[#trade-science]

*Trade Science* is a YouTube channel dedicated to realistic technical analysis, systematic trading systems,
strategy and indicator reviews, and system optimization.

*   [How to do a Walk Forward Optimization in Python with Vectorbt](https://youtu.be/RKE1ZXm00NY?si=mPDXX-tSC4X8rAtV)

## Python Financial \[#python-financial]

*Python Financial* publishes reviews, comparisons, and benchmarks of trading research tools. These
pages cover VBT PRO directly:

[Python Financial](https://python.financial/)

![Python Financial](/assets/partners/python-financial.png)

*   [VectorBT PRO](https://python.financial/tools/vectorbt-pro/)
*   [VectorBT PRO vs VectorBT](https://python.financial/comparisons/vectorbt-vs-vectorbt-pro/)
*   [VectorBT PRO vs Backtesting.py](https://python.financial/comparisons/vectorbt-pro-vs-backtesting-py/)
*   [VectorBT PRO vs NautilusTrader](https://python.financial/comparisons/vectorbt-pro-vs-nautilustrader/)
*   [VectorBT PRO vs LEAN and QuantConnect](https://python.financial/comparisons/vectorbt-pro-vs-quantconnect-lean/)
*   [Parameter-grid scaling benchmark](https://python.financial/benchmarks/parameter-sweeps/)

## Research \[#research]

Below are research theses and papers that have utilized VBT:

*   [Improvements to Intraday Momentum Strategies Using Parameter Optimization and Different Exit Strategies](https://dx.doi.org/10.2139/ssrn.5095349)
*   [Automation of Financial Portfolio Management using Machine Learning-Based Algorithmic Trading](https://www.linkedin.com/in/martinandrovich/)

## Other resources \[#other-resources]

Below are other resources that have utilized VBT:

*   [Trading Signal Analysis with Marimo and VectorBT Pro](https://financialnoob.substack.com/p/trading-signal-analysis-with-marimo)

## Contributing \[#contributing]

If you have created a tutorial using VBT and would like to share it here, please post it in our
[Discord](https://discord.gg/2Zs5j8m).

Thanks to everyone who has contributed so far! 💜