finEngine's wide range of analytical tools are designed to minimize costs and maximize trading effectiveness and profitability. We provide a various perspectives and levels of granularity into what is normally an overwhelming amount of data in order to allow quick interpetations of broad aspects from management or to allow nitpicking of individual orders and routing decisions by traders. Many of our products function in real time allowing for immediate feedback and aid in decision making.
finEngine's real time software library offers OMS/EMS agnostic insight to pretrade conditions, relative market performance, and in depth analysis of financial transactions from low level breakdowns of individual trades to broader analysis of entire trading desks and companies and provides transparency at every level in between. We cater to investment and corporate banks, asset managers, hedge funds, as well as institutional, retail and private investors.
We provide several predictive measures to which allows traders to modify order behavior depending on the market conditons. Traders can gauge timing risk, market impact, ideal routing and potential transaction and commission costs prior to making a trade. We also offer tools to predict market liquidity in real time in order to optimize order routing decisions aid traders in optimizing the speed and size of trades. finEngine also offers predictive insight into ATS/darkpool liquidity providers allowing traders to take a fuller advantage of the benefits of darkpool trading.
finEngine offers tools to help determine transactional and commission costs for orders of any size. Our comprehensive breakdown allows clients to attribute profitability to venues and customers. Our data management solutions also analyze trading data to calculate tranasatcional costs for clearing purposes.
Our Post Trade Suite allows traders to receive immediate feedback on their trades and orders. Trade data is sliced and diced and so it can be broken down and viewed by any category or hierarchy level: analyze individual trades, trades of a certain symbol, trades using a specific strategy, trades within a certain time horizon, individual traders, trades executed on a certain exchange, overall trading desk performance, full company wide performance, etc. We can gauge the performance of a trade by comparing it internally or to relatively to the rest of the market. In addition to analyzing trades, our post trade platform can identify shortfalls of executed orders and make behavioral recommendations accordingly.
finEngine's real time framework utilizes FIX to process customers' trading data to display customized breakdowns to actively fit the customer needs. Clients can get a real time overview of executed trades, P&L, venue costs, customer costs, commission, and other Venue & Expense Analytics. Market data is also made available in real time and can be used in combination with customer data for immediate availability of post trade analytics.
Our Historical Suite is designed to compare performance, transactional costs, P&L and risk on any timescale. Customers can compare daily, weekly, monthly, or yearly analytics using the same categorical breakdowns as the post trade. Our Buy Edge and Sales Edge platforms give users in managerial roles a concise statistical overview which can be used to produce analytics on a company wide or desk wide basis.