Systematic trading systems

Systematic trading is the future of trading.
It involves even fundamental analysis, technical analysis, common sense, intuition, quantitative models, maths and advanced algorithms.

Systematic trading needs experimented traders able to define and to understand trading strategies and risk management, and experimented computer scientists able to create computer programs and algorithms implementing the strategies and risk controls.

Strategies section has got a list of systematic trading strategies, some of them traditional, some others experimental but trying to avoid those far away from the possibilities of common traders (like statistical or ultra-low-latency strategies).

Software and tools has a list of useful software for systematic trading. Here is where we're describing our systematic trading tool, MetaOS and other risk management and algorithmic software, always under open source license.

Under documentation area, public documents, original and taken from third parties are listed. There are documents related to machine learning, computer science and algorithms, algorithmic trading and to quantitative finance and risks.

Risk management has the aim to recognize the importance of a good quantitative risk control to earn money trading with algorithms and systematic techniques.

Not only to limit risks when things are going bad, but to determine which strategies are getting to expected results, or which one are assuming too high risks, even they're having a positive P&L.

Section "Lab" contains experiments and approaches using systematic trading techniques. It's more like a description and results of trading researches. It includes quantitative information of results and trends where investigations might continue.