The FUTURE OF FINANCE
We are living at a historic moment of technological change. For the first time, powerful supercomputers permit the application of Machine Learning (ML) techniques that can extract insightful information from complex financial datasets.
WHY QUANT INVESTMENTS OFTEN FAIL
For the past 60 years, most quantitative asset managers have applied econometric models, with disappointing results:
The quantitative funds offered by most asset managers are based on false discoveries, as a result of backtest overfitting.
The complexity of financial systems overly exceeds the modeling capability of Econometrics.
Some of the most interesting datasets, such as satellite images, voice recordings, or news articles, are beyond the grasp of these traditional quantitative methods.
Instead of Econometrics, the most successful hedge funds in history use ML as their primary quantitative tool, because of ML’s flexibility and ability to identify complex patterns with minimum assumptions.
Although ML is extremely effective, its correct application to financial time series is not straightforward, requiring domain-specific knowledge and experience. Predicting financial outcomes is orders-of-magnitude more difficult than, for example, recognizing faces or driving cars.
THE TRUE POSITIVE ADVANTAGE
ML is modern statistical analysis. As it is common with any breakthrough, there is much confusion about what ML can do in finance, and how it should be used. The answer is not as simple as “let’s hire some PhDs from Silicon Valley.”
Unlike most firms that claim to have expertise in ML, True Positive Technologies (TPT) has a certified track record at managing multibillion-dollar mandates for institutional investors. We take pride at helping clients solve challenges that we have previously faced and overcome.
Technologies developed by TPT’s team have been sought after by some of the most successful hedge funds. We have sold particular implementations of our techniques to leading asset managers in multimillion-dollar deals. TPT helps modernize institutional investors, by deploying these tried-and-true solutions to their particular investment problems.