About us

Company information

Predictions and simulations are powered by

3200+

Stocks Scanned Daily

36

EC2 instances

18

Data Pipeline Processors

What is Tickbooster and what it is not?

We do not tell you that we can see the future. We also do not give you a signal to buy something right now and earn 34243% profit in two days. What we can give is what we feed to our trading robots. And that is stable performing prediction signals to open a position and complex brief (set of parameters) to tell them when to exit from a position. Also if you have a different trading strategy or budget or anything else in your mind, but you still want to use our prediction signals, you can simply test it in our simulator.

Mission

Let people pick stocks and maintain a consistent, robust but unsupervised trading scheme in a fire and forget fashion.

History

Started out as a simple stock filtering tool in 2018, Tickbooster is now a complete quant platform that is capable of collect and predict any given outcome of an instrument. Right now Tickbooster scans Nasdaq, NYSE and AMEX for stocks that are succesfully predictable by it’s ML based algorithms.

Why start exposing the models?

Tickbooster already has an closed enterprise grade set of  clients who are running customized models and trading bots on this platform. Then Tickbooster management decided to build up a GUI for non-trade and non finance-expert clients also who can easily search for symbols, run simulations and get portfolio ideas without the additional labor or knowledge

What should I do with all these stock predictions?

Just pick some stocks from the list and sit in a long position for two weeks, use one of the briefing from the top strategies to set take profit, stop loss or expiration sell parameter and see magic happens to your earnings.

Where is the data from?

Tickbooster acquires data from multiple sources to enhance the model accuracy. Main sources from our data are EODData, Finnhub, Yahoo Finance, Interactivebrokers. We also pull data for our live trading systems from many different sources including Prediction Vantage, ThomsonReuters and even tweets from Twitter.