Cryptocurrency’s first, real-time, predictive analytics dashboard.
Democratizing algorithmic trading
Built by data scientists and traders, for everyone
Cryptocurrency markets are extremely volatile. With our experience building predictive analytics platforms for hedge funds, brokerages and retail clients, and QDT’s expertise in advanced algorithms, we are putting advanced machine learning tools in the hands of the people.
Data Science by 
Meta v.1
META is designed to assist any crypto enthusiast in choosing an entry into (or exit from) the market, and can assist any trading strategy.
We currently provide predictive analytics for: Bitcoin, Litecoin, Ethereum and Bitcoin Cash, with many more to come.
The Green bars indicate when to enter a position (price signals in v.1 are long only).
Equity curve shows value of $1 invested over time.
As you can see, the machine learning algorithms choose when to enter, and also when to stay flat to avoid losses.
It’s what’s under the hood that counts.
META uses Artificial Intelligence and Machine Learning to predict price movement ahead of the market.
Our machine learning engine uses Convolusional Neural Networks, in conjunction with technical trading algorithms, and sentiment analysis; to monitor, analyze and predict movements in price. In other words, the dashboard provides clear signals for when to buy, and when to sell.
Real-time Data Ingestion and Analytics
META is constantly assessing price action and sentiment in the cryptocurrency market.
Smarter Machine Learning and AI
The ML and AI models improve their predictive capability and reliability over time.
Reliable Price Indicators
The result is more accurately forecasted price movement, and a more confident entry or exit of your position.
Roadmap
Phase 1 – ML Algorithm Development- Establish initial prediction models. Apply backtesting, and review equity curve reliability and profitability.
Meta v.1 UI/UX
- Dashboard roll-out using existing EOTPro back-end infrastructure. Assess infrastructure scaleability and establish initial customer userbase.
Phase 2 – ‘CNN’ Modeling
- Advanced Convolutional Neural Network Modeling, with algorithms encoded in FPGA hardware for dynamic performance.
Meta v.2 UI/UX
- Develop Version 2 of Dashboard with added functionality, applications, and refreshed design elements.
Phase 3 – Quantum Optimization
- Quantum Annealing and Quantum Sampling used to optimize AI and ML models and test “infinite” permutations.
Meta ICO: ‘Meta-Dash’
- Meta on the blockchain. Meta ICO and launch of ‘META-Dash,’ cryptocurrency. ICO funds development of ‘Meta-Fund’ and other blockchain initiatives.
Phase 4 – ‘Meta-Fund’
- Machine-enabled automated trading of any cryptocurrency. The Meta “coin” acts as base trading pair, and trades in an out of most profitable coins. Meta holders are rewarded with dividend tied to trading profits.