TRADING SIGNALS
PROFIT FROM OUR PROFESSIONAL FORECASTS
- We studied and successfully used predictive models for more than six years, both in the academic and real world.
- With these signals, you can leverage the power of machine learning to boost the performance of your portfolio.
- We provide robust forecasts for over 40 indexes, spanning all major asset classes.
- Our results are backtested extensively and the results are shown transparently
OUR MODELS
Our results stem from:
- over 250 statistically sound indicators for financial market prediction.
- 5 models for the de-noising of the time-series.
- 15 data mining algorithm to select the relevant indicators and synthesize their informative content.
- 23 predictive models including econometrics and machine learning methodologies.
- 12 models to backtest and validate the quality of the signals.
- All models are validated scientifically.
SELECTED REFERENCES
- De Prado Marcos, “Advances in Financial Machine Learning”, Wiley, 2018
- Stefen Jansen, “Machine Learning for Algorithmic Trading “, Packt, 2018
- Ghysels Eric and Marcellino Massimiliano “Applied Economic Forecasting using time series methods”, Oxford University Press, 2018
- Masters Timothy, “Statistically Sound Indicators for financial market prediction”, Independently published, 2019
- Elliot Graham, Timmermann Allan “Handbook of Economic Forecasting”, 3 Volumes, North Holland, 2013