Frequently Asked Questions

Though we use the terms interchangeably for these purposes, they are indeed different. Broadly, artificial intelligence is any intelligence demonstrated by machines. Machine learning is a subsect of artificial intelligence where a set of algorithms continually improves based on its experience. Both terms evolve and change as machines become more and more sophisticated.

Artificial intelligence and machine learning operate at a scale and scope unmatched by humans. Institutional investors can seize upon opportunities our AI and ML uncover to, as our clients say, “give [them] first-mover advantage.” Artificial intelligence can also surface opportunities that may not always be intuitive, allowing the asset manager to find performance in their portfolio.

Quantamental investing is a portmanteau of quantitative and fundamental asset management styles. It combines big data and engineering components from quantitative finance with the financial expertise of traditional fundamental managers, for the best of both worlds. We at Boosted.ai believe quantamental asset management will be the way of the future, harnessing insights from the world of big data and combining it with the finance acumen of active investment managers. If you’d like to learn more, you can read our blog post about quantamental investing here.

Our team of seasoned professionals have decades of experience in both artificial intelligence and finance at world-class companies like Microsoft, Google, Tiger Management, RBC and more. Read more about the Boosted.ai team.

One great way to integrate AI into your portfolio is by using it to mitigate risk. Our machine learning models helped navigate the quant shock, surface risk in short positions like GME and pilot through black swan events like Coronavirus/Covid-19. Our algorithms also help constrain normal risk factors, like momentum, value anhttps://keen-market.flywheelsites.com/managing-the-quant-shock-how-machine-learning-portfolio-construction-can-help-through-regime-shiftsd size.

Artificial intelligence and machine learning can do a lot of things! One exciting development is in improving institutional investor’s portfolios. There are a lot of use cases. If you want to learn more, chat with us here!

Boosted.ai doesn’t require a data science or engineering or quant background to find opportunities for your portfolio. It relies on your capital markets expertise to create models with our point-and-click interface. You input whatever features you think are important in stock picking (fundamental, macroeconomic, even your own data) and our proprietary, finance-specific machine learning creates a predictive model for you to analyze further.

Though we’ve created a very complex product that certainly allows for a lot of exploring, users can start creating models with Boosted Insights almost immediately. The intuitive interface allows asset managers to hit the ground running with AI. And if you have any questions, our in-house data scientists, machine learning experts and customer service team are always happy to help!

We are not creating models to sell to clients (although our in-house data scientists and finance experts are always happy to help you hone your own!). We offer artificial intelligence software to allow asset managers to implement machine learning quickly and efficiently in their own process. We’re passionate about democratizing AI and sharing it with as many people as possible.

We offer full explainability with our AI, highlighting which features in the investment manager’s model were most important in the decisions made by the machine learning. Our ML also showcases how those features compare to the company’s performance and to other companies in its sector.

We have thousands upon thousands of variables for investment managers to use in our system. We also allow managers to import their own data, for an even wider array of options. Every model created with Boosted Insights is as unique as the asset manager’s process that created it.

Boosted.ai keeps your data strictly confidential. Even the models you create are shared only with you and your team, except when shared with us for support purposes. We also make sure your data stays secure with a strict data security protocol.

We have clients that trade as infrequently as quarterly and we have clients that trade as frequently as daily.

We have clients with target turnovers as low as 25% and we have other clients that make models in our system with turnover over 5,000%. We also have created portfolio optimizers to help clients minimize turnover in their portfolios.

Algorithmic trading, or algo trading, uses computer programs to follow a defined set of instructions (or algorithm) to execute trades. Most algorithmic trading is also high frequency trading (see below). By following the strict rules of the algorithm, algo trading seeks to remove human intuition and instinct from the equation. Boosted.ai makes use of algorithms, but we strongly believe that human and machine (learning) create the best results. This pairing of human instinct and machine processing power is called quantamental investing and is how we see the future of asset management. To learn more about quantamental investing, see here.

Though high-frequency trading (HFT) also makes use of mathematical models and algorithms to make decisions, Boosted.ai is not an HFT company. Our software learns – based on your inputs, variables and data sets, what equities will perform well under certain conditions and which will perform poorly. It creates a dynamically ranked list of stocks within the portfolio manager’s universe that they can trade themselves. In high-frequency trading, the fastest execution speeds on trades are typically what creates profit for a user. With Boosted Insights, the ideas generated by our machine learning (or risks avoided, or any of our other AI use cases) are what creates value for a PM.

Boosted Insights is mainly for managing equity portfolios (we have datasets that span global equities), but we know that there is demand for using AI to analyze fixed income, foreign exchange and cryptocurrencies. Let us know if you are interested in machine learning products for those asset classes! We are always improving the product.

Boosted Insights is a cloud-based software, so it can be used anywhere you have a working internet browser. We do not have a dedicated mobile app at this time.

No. Machine learning takes your inputs and learns, based on past performance, which stocks might do well in certain situations. It takes these extrapolations and makes predictions that are often correct, but they are still predictions, not a guarantee of future performance. What our machine learning is very good at is intaking a vast amount of data and finding non-intuitive links between stocks and other opportunities in your portfolio, all backed by your specific capital markets knowledge and expertise.