AI & Machine Learning
We provide Artificial Intelligence, Machine Learning and Data Science solutions for finance and manufacturing.Our custom state of the art solutions help your business overcome challenges and meet objectives.
Algorithmic Trading Development
We help you to structure and automate your trading strategies using TT’s algorithmic trading platform ADL and Python for your more advanced AI-based trading strategies. We provide solutions from trading signal generation to fully automated execution systems. Please contact us for more information.
Natural Language Processing
We provide solutions for chatbots and automated document analysis based on the most recent technologies such as IBM Watson.
We are excited to announce the launch of our first online course on Udemy — Python for Traders and Investors. This course was created based on our experience from running live quant trading courses around the world. Come and check it out (90% discount coupon available, just use ‘QUANT-DISCOUNT’)!
We teach you today’s most in demand skills so you can reach your full potential.
Algo Trading Conference
AI Pairs Trading System Dr. Tom pushes the limits of MT4 to deliver a strategy like you have never seen before. This system sees a Machine Learning twist added to a popular hedge fund & prop trading pairs strategy. This is a quant system from one of the best. Melbourne, December, 2018
Dr. Tom Starke will give two presentations at the Open Data Science Conference in Bengaluru, India: Introduction to Algorithmic Trading This introductory level workshop will focus on core principles of rigorous statistical research, discussing the workflow of designing and executing trading trategies. Intelligent Autonomous Trading Systems – Are We There Yet? This talk will describe the current challenges for intelligent autonomous trading systems and provides some practical examples where machine learning is already being used in financial applications. 30 August-2 September, 2018
Dr. Tom Starke will the presentation: Reinforcement Learning for Trading – Practical Examples and Lessons Learned Since AlphaGo beat the world Go champion, reinforcement learning has received considerable attention and seems an attractive choice for completely autonomous trading systems. This talk shows practical aspects and examples of deep reinforcement learning applied to trading and discusses the pros and cons of this technology. 28 April, 2018
Advanced Algorithmic Trading Workshop With Quantopian
The workshop covers an introduction into factor modelling, probably the largest group of trading models out there with around 6 trillion dollars tied up in them. We will also discuss some new and advanced features of the Quantopian platform. Saturday, 14 April 2018, 10:00 am
Alternative Data For Automated Trading Systems
An exciting talk by Nick Wienholt on how to use alternative, unstructured data in automated trading systems. Nick has extensive experience in this area from investment banking and sports betting and it will be extremely valuable for people who want to improve their trading systems and make more use of artificial intelligence. Wednesday, 21 February 2018, 7:00 pm
We share our expertise and insights on all things quant.
Chat With Traders EP 147: Detective work leading to viable trading strategies, and the rise of AI. Dr. Thomas Starke and Aaron Fifield talk about things related to quant trading,[…]Read more
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Check out what our clients have to say
Hi Tom, Just a quick note after the workshop on Saturday – thanks for presenting I enjoyed the day. While I had done most of the online tutorials it makes a big difference to be able to ask questions face to face. One of things I asked about was creating ATR customfactor. I sourced the code from the forum and integrated with the sample code you shared and with a few minor changes managed to create a long-short algorithm that gave > 100% return for previous 3 years. So just emphasised the benefit for me of attending so again thanks for the course.