In anticipation of our AMA with Chainlink tomorrow we wanted to circulate some preliminary information to get the attention of the developer community.
In a nutshell, what we do at QDT is use machine learning to forecast financial instruments, like stocks, commodities and currencies, for large enterprise customers. That said, our team is full of crypto enthusiasts, so it only makes sense that we would build models for crypto on the side and use them ourselves.
Using Quantum ML, we have built a series of APIs for the Chainlink developer community that will allow you to interact with and use these same Bitcoin signals.
Our Bitcoin machine learning models use market price data from all cryptocurrencies, with blockchain and sentiment data (totalling 3000+ predictors), and then use multiple algorithms and machine learning parameters to find the best signals.
Those signals are then converted into a strategy, so users can answer the ultimate question,
“if I had traded these signals, would I have beaten the market?”
Figure 1: Bitcoin (BTC) Composite Signal Performance using Quantum ML
Above is the historical performance of three strategies, each using a slightly different logic to trade the same signals. The details of each strategy and their performance is summarized in the table below.
Strategy NameColour2yr Return (%)Alpha (%)Bitcoin (Buy and Hold)Orange633.03 na Binary Long StrategyRed988.42+56.15%Simple Fractional StrategyCyan1050.55+65.95%Fractional Long StrategyBlue1100.99+73.92%
We can get into the nuances of the signal aggregation methodology another time, but what we’re hoping will get your attention is the performance in the far right column.
Thus, while compliance dictates that we must remind you that “historical performance isn’t an indication of future performance,” we at QDT have been trading the signal ourselves for over a year and have been very happy with the results.
We hope this gets your attention and that you’ll join us for the AMA tomorrow, November 9th at 10am EST to learn more about how we do what we do, and how YOU can use and experiment with these Bitcoin signals yourself.
See you there,
Quantum Data Technologies
Join the LIVE AMA here:
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Quantum Data Technologies is an engineering company with a passion for using advanced technology to solve complex business problems. We are fascinated with the pursuit of innovation and to constantly push the boundaries of what’s possible with AI, Big Data, and Machine Learning. Our core product, Quantum ML, is a data platform that uses machine learning to predict the movement of financial instruments such as stocks, bonds, indices, fiat currencies, cryptocurrencies, commodities, ETFs, and more. Quantum ML utilizes data from 150,000+ unique sources such as global exchanges, financials, macroeconomics, and fundamentals, to automatically generate and backtest ML-driven strategies that inform financial and trading decisions.
Quantum Data Technologies Ltd. nor its employees or contractors are investment advisors or brokers, and are not registered as such. All opinions expressed by Quantum Data Technologies Ltd., its employees and contractors are solely their opinions and neither reflect the opinions nor are made on behalf of Chainlink or any of its respective affiliates. The trading and investing ideas and strategies discussed are not recommendations to buy or sell any security and are not intended to provide any investment advice and/or recommendations of any kind, but are made available solely for educational and informational purposes. Investments or strategies mentioned may not be suitable for your particular investment objectives, financial situation or needs. Any opinions, including that of Quantum Data Technologies Ltd., its employees or contractors are based upon information they consider reliable, but no representation or warranty is made by any person as to its completeness or accuracy.
We are obligated to inform you that past performance is not an indicator of future results.
This is not an offer to sell or a solicitation of an offer to buy any securities. Before acting on information provided, you should consider whether it is suitable for your particular circumstances and strongly consider seeking advice from your own financial or investment advisor. Any investment in any security is subject to a number of risks, and that discussions of any security will not identify or describe all or, in some cases, any relevant risk factors. You should be aware of the real risk of loss in following any strategy or investment discussed in this broadcast, including the acquisition of any security.