Are you considering how to implement a financial trading system for yourself or your firm? There are a tremendous number of places to start, but how do you sort it all out? Most importantly, what are the key considerations to ensure you do it right and end up with a solid system that doesn't waste lots of time and money?
The sheer number of choices is the first challenge when buying or building a financial trading system. Software varies greatly from cheap applications under $100 to multi-million-dollar enterprise systems used by Tier 1 banks and hedge funds. Ask yourself "where do my needs fit in terms of trading volume and strategies?" This helps decide on the features you really need, what it will cost you, and where you will buy. You can also decide to build your own system if that makes sense.
A smaller firm of 10 traders implementing different strategies doesn't require an elaborate financial trading system designed for a big i-bank. However, your traders are probably sophisticated enough to need real feature -- trading millions in stocks, futures and forex on a daily basis requires the ability to create and manage multiple strategies easily. A firm this size needs something configurable, componentized, transparent and flexible.
The financial trading system components to consider are the strategy creator, code, blotter, data manager, reporting, order management and back test tool. Other areas to consider are risk management and interfaces to your risk, accounting and back office trade processing systems. These are often provided by dedicated software platforms or SaaS technology services. Your execution broker comes into play here, and perhaps a third party service provider for things like end of day fund accounting and valuations.
From a trading strategy and analysis standpoint, Microsoft Excel tends to be one of the top 2 or 3 applications. You can easily program trading strategies directly in Excel with formulas, VBA, and manual user controls such as dropdowns, data entry cells, and macro buttons. A trader can quickly pull in market data (prices, volume, PE ratios, etc.) and combine it with technical and fundamental indicators with simple if-then statements and Excel's native calculation engine. Elaborate pre- and post-trade analysis can be done along with charting and trend analysis in Excel. That's why it's so widely used by Wall Street and City of London traders who have the best desktop trading systems in the world at their disposal.
For smaller firms, trading execution directly in the market with a financial trading system is the responsibility of your broker. At a bank trading desk, orders are typically routed through the bank's OMS for direct execution or sent to electronic markets and liquidity pools. Excel can be integrated via APIs to send a variety of order types.
Market data management, position management, profit and loss analysis, and risk management are separate specialty areas where you can buy different components and integrate them, or buy a complete middle or back office system to handle. Market data management requires specialized infrastructure to handle large volumes and massive speed requirements. Positions, P&L, risk, and accounting all rely on complex computations and are best handled together.
These are a few of the considerations when planning a financial trading system build or buy.
The sheer number of choices is the first challenge when buying or building a financial trading system. Software varies greatly from cheap applications under $100 to multi-million-dollar enterprise systems used by Tier 1 banks and hedge funds. Ask yourself "where do my needs fit in terms of trading volume and strategies?" This helps decide on the features you really need, what it will cost you, and where you will buy. You can also decide to build your own system if that makes sense.
A smaller firm of 10 traders implementing different strategies doesn't require an elaborate financial trading system designed for a big i-bank. However, your traders are probably sophisticated enough to need real feature -- trading millions in stocks, futures and forex on a daily basis requires the ability to create and manage multiple strategies easily. A firm this size needs something configurable, componentized, transparent and flexible.
The financial trading system components to consider are the strategy creator, code, blotter, data manager, reporting, order management and back test tool. Other areas to consider are risk management and interfaces to your risk, accounting and back office trade processing systems. These are often provided by dedicated software platforms or SaaS technology services. Your execution broker comes into play here, and perhaps a third party service provider for things like end of day fund accounting and valuations.
From a trading strategy and analysis standpoint, Microsoft Excel tends to be one of the top 2 or 3 applications. You can easily program trading strategies directly in Excel with formulas, VBA, and manual user controls such as dropdowns, data entry cells, and macro buttons. A trader can quickly pull in market data (prices, volume, PE ratios, etc.) and combine it with technical and fundamental indicators with simple if-then statements and Excel's native calculation engine. Elaborate pre- and post-trade analysis can be done along with charting and trend analysis in Excel. That's why it's so widely used by Wall Street and City of London traders who have the best desktop trading systems in the world at their disposal.
For smaller firms, trading execution directly in the market with a financial trading system is the responsibility of your broker. At a bank trading desk, orders are typically routed through the bank's OMS for direct execution or sent to electronic markets and liquidity pools. Excel can be integrated via APIs to send a variety of order types.
Market data management, position management, profit and loss analysis, and risk management are separate specialty areas where you can buy different components and integrate them, or buy a complete middle or back office system to handle. Market data management requires specialized infrastructure to handle large volumes and massive speed requirements. Positions, P&L, risk, and accounting all rely on complex computations and are best handled together.
These are a few of the considerations when planning a financial trading system build or buy.
About the Author:
Implementing a financial trading system may involve Excel models for several components. Find out how to implement Excel for trading here.
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