Trading.jl This is an algorithmic trading and backtesting package written in Julia. It provides a framework for defining and executing trading strategies based on technical indicators, as well as backtesting these strategies on historical data. Behind the scenes it relies on an ECS paradigm as implemented by Overseer.jl, making it extremely easy to extend. Simple Example To define a trading strategy, users need to implement a Julia struct with an update function that defines the trading logic. The update function is called periodically by the framework, and has access to tick data for the specified assets, as well as any technical indicators requested by the strategy. The package includes several built-in technical indicators, such as simple moving averages, relative strength index, and exponential moving averages, but users can also define their own custom indicators. To execute a trading strategy in real-time, users can create a Trader object with the desired strategies and assets, and connect it to a real-time data source through the different broker APIs. If one wants to backtest

⚠ No verified equity curve — no track-record source connected.

No score history is stored yet — only the current score is shown.

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility not provided.

Data-completeness & trust index (not a profitability rating)