Mike O'Malley

Inflection Point Ventures invests in companies located in the United states. The firm focuses on telecommunications, information technology and electronic commerce sectors. The firm provides financing for early stage capital requirements and it also acts as lead investor.

Provides software solutions to service organizations

Develops video surveillance systems

Develops vascular stents and orthopedic devices

Provides primary care to elderly patients

MassVentures invests in companies located in the United States. The firm focuses on companies operating in deep tech sectors such as quantum computing, clean energy, AI, biotech and advanced materials. It provides financing for seed and early stage capital requirements.

Provides video content owners to create one-to-one relationships with their audience

MDT utilizes their 'Optimum Q' family of strategies, a disciplined, quantitative approach to investing in U.S. equities. Each strategy employs a variant of the same Optimum Q model first introduced in 1991. There are currently four strategies. The Optimum Q portfolios are traded daily. For Optimum Q - All Cap Core, stocks are selected from a universe of domestic stocks. For the style-specific strategies, stocks are selected from sub-universes that roughly correspond to their benchmark indexes. Diversification constraints are used to control risk and the market impact of trades. Proprietary optimization software determines the best portfolio by maximizing the overall stock selection score subject to the diversification constraints. The model then generates trades that represent the difference between the best portfolio and the current portfolio. Stock selection scores take account of trading costs, so trades are generated only to the extent they are expected to be profitable after trading cost. Each trade generated by the model is examined by the investment team to verify that the model's decision is based on accurate and current information. The team only overrides the model in a few specific situations such as when a review of recent corporate news reveals breaking information that has not yet been incorporated into the database. Optimum Q models are constructed using techniques analyzing at least 15 years of historical data, depending on the strategy. The data is drawn from an in-house database built and maintained by the Optimum Q team. Using proprietary, parallel-processing software and high-speed servers, the team runs hundreds of thousands of historical simulations to find the combination of parameter values that maximize compound annual return subject to constraints on risk as measured by beta and tracking error.