Financial trading software
The Smithsonian Institution's Archive of American History made the progressive work of the FAST Lab part of its permanent research collection on innovative information technology and awarded it a Computerworld-Smithsonian medal. Request a Demo Contact us to schedule a web conference for you and your colleagues. These sessions are always held by the professors who created FTS, allowing deeper discussion on curriculum and research. Some things can only be experienced.
One of these is a live trading floor, where orders are submitted, prices are negotiated, activity is fast paced and competitive, and everyone reacts in real time to the actions of others. Trade execution is instant, and after each trading period of a few minutes , everyone gets immediate feedback on their performance. The trading cases have clear learning objectives The simulation is repeated a few times to give the markets time to converge and for the learning to become apparent.
What they learn They experience what it is like to be a trader, how a market really works. They get an intuitive understanding of the price discovery process, market efficiency, market impact, liquidity, and many other practical aspects of a financial exchange. They get a strong understanding of financial instruments; the cases cover a broad range of instruments, including stocks, bonds, options, forwards, futures, swaps, currencies It has proven to be one of the best ways to teach time value of money, market efficiency, option pricing, and forwards and futures.
The Web Based System Runs on any device Instructors can start and run a market from any device, including smart phones Students can connect from any smart device as well Eliminates the need for a computer-equipped classroom or a trading room Ideal for online and hybrid courses Try it out: The Windows System Advanced Capabilities Real time Excel Link Program trading capabilty Alternative market microstructures Supports advanced cases and features needed for experimental market research.
It comes with a teaching guide and detailed projects and exercises that help reinforce the understanding and practical application of concepts. How it works What is traded is specified in a trading case and project The instructor requests the case and we set up student accounts Students are evaluated based on the objectives of the trading project.
What they learn How to use analytical techniques in portfolio management and trading Advanced features include learning how to create and implement algorithmic trading strategies. The Web Based System Runs on any device Trade from anywhere at any time on any smart device Built in analytical support Performance reports.
The Windows System Advanced Capabilities Algorithmic trading capability Full suite of analytics Extensive analysis of trading history and performance Instructor reports. Web Based System Instructions: The Financial Statement Analysis Module , teaching guide, and accompanying videos, have been developed with the view that this is one subject where a hands-on, learning-by-doing approach adds immense value.
How it works Students work with actual company filings, in a highly interactive and structured learning environment, with immediate and detailed instructions at every step. What they learn As students extract information and construct ratios, they absorb important practical details along the way, for example how different companies report information, how to map this information into the ratios, and as they gain experience, they develop the judgment needed to interpret the measures.
The FTS Machine Learning Module provides a gentle introduction to the a variety of machine learning models and their applications in finance. The module uses a simple stock forecasting problem using easily available and easily understood data.
The Machine Learning module can be accessed here. The FTS Modules are stand alone learning tools that allow students to build conceptual and analytics depth. Some modules are tutorial in nature, others let them analyze real world problems with real world data. For example, they can conduct financial statement analysis from first principles, learn to apply different valuation models, study efficient frontiers, learn option trading strategies and hedging.
The modules complement our trading systems. This includes products such as stocks , bonds , currencies , commodities , derivatives and others, with a financial intermediary, such as brokers , market makers , Investment banks or stock exchanges. Such platforms allow electronic trading to be carried out by users from any location and are in contrast to traditional floor trading using open outcry and telephone based trading.
Sometimes the term trading platform is also used in reference to the trading software alone. Electronic trading platforms typically stream live market prices on which users can trade and may provide additional trading tools, such as charting packages, news feeds and account management functions.
Some platforms have been specifically designed to allow individuals to gain access to financial markets that could formerly only be accessed by specialist trading firms. They may also be designed to automatically trade specific strategies based on technical analysis or to do high-frequency trading. Transactions have traditionally been handled manually, between brokers or counterparties.
However, starting in the s, a greater portion of transactions have migrated to electronic trading platforms. These may include electronic communication networks , alternative trading systems , " dark pools " and others. The first electronic trading platforms were typically associated with stock exchanges and allowed brokers to place orders remotely using private dedicated networks and dumb terminals.
Early systems would not always provide live streaming prices and instead allowed brokers or clients to place an order which would be confirmed some time later; these were known as ' request for quote ' based systems. Trading systems evolved to allow for live streaming prices and near instant execution of orders as well as using the internet as the underlying network meaning that location became much less relevant.