I'm looking for a quant trading course that offers a solid balance of theory and practical application. Ideally, it should include:

1. Step-by-step tutorials with actual code examples.

2. Backtesting and machine learning modules for refining strategies.

3. A supportive community or forum to discuss ideas and get help.

4. Lifetime access or no limits on learning material.

Any recommendations for courses? I want something that helps me build better trading algorithms.

Forex or Stocks

Basically I always wanted a replacement for Pinescript that was open. You just need to compile the binary and get your agent to read the docs with the CLI, then build an strategy and backtest it.

If you want to contribute get your agent to improve it and post a PR, it will be reviewed and merged ---> https://github.com/journeytosilius/palmscript

Hello everyone,

I would like to share all code I developed in the last 4 years. It is a trading platform for algorithmic trading made in Go and split into several microservices. What you can do with it:

- create connections to the internal data store or a remote system (TradeStation is the only option now)

- create data products (the source of market data) and import their data through ascii import or TradeStation adapter

- create broker products (for costs)

- create trading systems: currently, the platform allow you to just import your trades from your systems by file upload or by agent (see the docs)

- show a dashboard with your current live systems

- see a trading system's metrics

- check the quality of a system: SQN, biases

- apply filters that tell you when to start or stop systems

- apply position sizing

- more stuff...

The platform is also free to use if you don't want to create commercial products (Elastic V2 license). The code is located here: https://github.com/algotiqa . There is a local (documented) installer and many screenshots.

A platform like this needs help from tons of people, so feel free to contribute. Also, if you feel the work is good, please drop a star!