Gain access to sophisticated trading algorithms, with the tools to monitor
and analyze the performance of hundreds of automated trading strategies.
“The statistics on this page are calculated via the combination of three hypothetical data sets:
1. Backtested, 2. Tracked, and where available 3. Live.
Backtested Performance is calculated by running a trading system backwards in time, and seeing what trades would have been done in the past when applied to backadjusted data. Tracked performance is calculated by running the trading system forwards on data each and every day, and logging the trades as they happen in real time day after day. Live performance is calculated by running the trading system on LIVE tick data for actual clients and tracking the actual buy and sell prices those clients trading the system receive in their account.
We use Live results to calculate monthly returns for any month in which clients were trading for the entire month, Tracked fills for those months in which there are no client fills for the entire month, and computer generated fills for those months occurring before we loaded the system onto our trade servers. The results are hypothetical in that they represent returns in a model account. The model account rises or falls by the single contract profit and loss achieved by the system in whichever data set is available. The hypothetical model account begins with the Sugested Capital listed, and is reset to that amount each month. The percentage returns reflect inclusion of commissions, fees, slippage, and the cost of the system. The commission, slippage, fees, and monthly system costs are subtracted from the net profit/loss prior to calculating the percentage return.
Please note that the method of resetting the model account to the initial value at the start of each month creates a track record which is representative of the simple returns for each time period, but that it does not, by definition, show how returns would compound over time. Should an investor following said program trade a single contract indefinitely without also resetting their account to the initial capital amount each month, their performance will differ from the performance detailed herein.”
Top Performers - Last Month
Top Performers - Last Year
Top Performers - Since 2001
Why Automated Trading
Automated trading systems don’t have an opinion and don’t have emotions – they stick to a programmed set of rules no matter what is happening around them, providing the discipline and patience required for a more objective and reliable approach to trading.
After years of perfecting our execution technology, expanding the number of available systems, and providing better tools for their analysis; the next step in our evolution is to make the platform available to more investors through partnerships with leading brokers around the world.
Gain access to more than 500 Automated Trading Systems created by 20+ professional developers, tracked in real-time across hundreds of client accounts at major clearing brokers.
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Our Latest Blog Posts
- Bargain Hunting Trading Systems - One of the original developers on the iSystem platform – Ilpo Kumpulainen of Ges Trading Strategies recently shared a piece with us looking at how value investing in the stock market has a corollary in the automated trading system world, and we found it so informative – we wanted to post it here… Enjoy: _____________________________________________________________________________________________________________________________ A classic value investment style looks […]
- Market Changes Offer Opportunities for Trading Systems - For the first time in years, the S&P 500, Nasdaq, DJIA are all showing negative returns for the year. These are days in which systems have the opportunity to thrive. But just like investors sometimes have confidence in their decision making skills timing how the market is going to perform, many systematic traders believe the same about timing systems. Because […]