Back when AlgorithmicTrading.net started (August 2013) – we offered the NQ Legacy algorithms through the tradestation platform. This package traded the NQ (NASDAQ Eminis)  with three algorithms; the T1-Burst, O1-Overnight Gap and B1-Breakout.  We capped these algorithms around November 2014 after they had an amazing run and started offering the ES/NQ Active trader packages to new customers. The NQ Legacy algos had a drawdown beginning in December 2014 but pulled out of that drawdown eventually. Many of the NQ Legacy customers moved to our NQ Active package – but some remained on the NQ Legacy.

The question we get is this: “How have the original NQ Legacy algorithms done since you last optimized them?”. If someone purchased the algorithms back in March of 2014 – and traded them with 1 contract on each of the three algorithms since then, how would they have done?.

In this video blog, we answer that question by showing their results as seen on a hypothetical/blind walk-forward account. In short, if someone started in March 2014 and traded through April 2017 their $15K account would be at about $40K (refer to CFTC Rule 4.41 below). This is based on a simulated/hypothetical account which models in 2 ticks of slippage + $6.50 in commission per round trip trade (all-in). This does not include the one time fee we charged for the use of our algorithms.

How has the NQ Legacy package done since the last optimization?

These algorithms which have not been offered since November 2014 have continued to perform well and recently began hitting new highs on their hypothetical account combined equity curves!

How have the original NQ Legacy algorithms done lately?

Thanks for watching! Remember, trading futures & options involves substantial risk of loss and is not appropriate for all investors. Also, past performance is not indicative of future performance.

CFTC RULE 4.41: Results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.