StrattyX democratizes algorithmic trading by empowering the nontechnical investor. Our software enables active investors to create, test, and automate their trading strategies. Our proprietary scripting language enables us to automate trading on anything on the web from Tweets, news, price changes, weather, and more. We then funnel the strategy data into our machine learning model. This enables our users to access market sentiment insights. Examples of an application of this is our AI suggestion model for our users to trade on the sentiment of a Tweet or news headline. StrattyX placed in the TOP 4 at TechCrunch Disrupt Startup Battlefield 2019.

We wrote our own proprietary scripting language and extension system that allows users to create strategies off of any text, number, or medium in the social and news headline space. Our extension system offers an Events API  and Webhooks. Therefore, when developers want to add more features to the existing StrattyX platform, the user does not have to share their source code. Furthermore, its language agnostic. This is especially great for our advanced users because they can bring their favorite open source tools and install them on their StrattyX platform to create their ultimate trading dashboard.

Our customers (everyday investors on our app) pay monthly subscription fees ranging from freemium to $5/month to $95/month. Users at the freemium level have access to the mobile app but can only use simulation currency to test their strategies or train their Deep Learning bot. The tiers beyond allow users to link their brokerage account and create more complex strategies. 

*** Wright, Co-founder and CEO - Auriel is a senior at Harvard University studying Computer Science and Business Mandarin Chinese. She was the first-ever Cryptocurrency Quant at Goldman Sachs and now manages her own portfolio. Auriel is a Ron Brown Scholar and former US State Department Chinese Scholar. Auriel has also received the National Science Award from the US Navy and 4th place in the global Intel ISEF Competition.