The holy grail in finance is finding the right algorithm to automatically and successfuly trade the financial markets.
aiquants Research
Perspective
Not too long ago, algorithmic trading was only possible for players with deep pockets and lots of assets under management.
Recent developments in the areas of open source, open data, cloud computing as well as online trading platforms, have leveled the playing
field.
Nowadays, it is possible for individual traders to get started in this fascinating discipline equipped with only a laptop and a reliable internet connection.
AI algorithms Research is about Python for algorithmic trading, mainly in the context of alpha generating strategies.
Financial data (structured) - the backbone of every algorithmic trading project
Python and packages like NumPy and Pandas play a vital role here
Backtesting - Rigorous testing of algorithmic trading strategies, based on:
Simple moving averages
Momentum
Mean-reversion
Machine / Deep-learning based predictions
Real-time data - involves socket programming and streaming visualization.
Online platforms - No trading takes place in a vacuum, trading platforms such Oanda and FXCM come into play
Automation, including cloud deployment
We offer comprehensive online training programs that cover topics such as python for algorithmic trading, artificial intelligence in finance,
Machine and Deep-learning based predictions in stock trading and additional Python tools and skills.
