Futures Spread Trading – Guide on How to Trade Spreads in Futures
Trading guides, webinars and stories
Trading guides, webinars and stories
The advancement of technology has revolutionized the execution system of securities trading. Broker-dealers weren’t the only ones affected by these changes. It opened countless new doors for both institutions like hedge & mutual funds as well as retail traders. At the same time, a segment of old school investors may be disappointed to know that the best execution price they themselves can get on a trade might not be the best possible one. The key to better prices is having a higher execution speed. Now that these systems work at a pace impossible for people to keep up with, it’s no longer realistic to rely on exchange listings to check prices.
This incredibly rapid trading system also held a great deal of opportunity for a number of ambitious start-up companies. Investors with considerable funds were more interested in playing it safe rather than trying to get creative. Meanwhile the next generation, being more adept at the infrastructure of information technology, realized that there’s more to trading than the size of your capital. Young programmers found themselves a niche in the market with the hand they were dealt.
High-Frequency Trading (HFT) algorithms only hold most positions for a fraction of a second, typically selling what they buy almost immediately. One of the benchmarks of the HFT strategy is that it doesn’t involve overnight positions, making its margin requirements close to null. Companies using this method bargain for favorable leverage with their brokers. They could for example hold $1,000,000 worth of positions while only having to put down a fourth of that. Every day they have 7.5 hours, which translates into 27,000 seconds, to trade with those funds. For the sake of accuracy (and simplicity) let’s assume each day has approximately 10,000 seconds when it’s viable for the system to place trades. In each of these trades the HFT trader aims to make a profit on the smallest possible price movement at around 0.00025% of the full price. This amounts to $2.50 per transaction using the available $1,000,000. By itself that minuscule sum doesn’t even register for most investors. On the other hand when repeated 10,000 times it becomes $25,000 per day, almost risk free in a fully automated system. Under those terms these HFT micro enterprises are looking at a potential income of $6,250,000 over the course of a year of 250 business days.
Comparing the required the $250,000 collateral to the capacity for profit makes it seem like a promising investment opportunity and many investors have taken noticed. It didn’t fail to catch the attention of hedge & mutual fund managers either, although only after capital started flowing into these HFT companies. The other concern these fund managers have is that the high speed trading between the HFT companies only inflates the volume without giving them enough information to evaluate the real value of the assets in question through technical analysis. The knowledge they built through years of studying & experience has a tough time competing with the profits of the HFT enterprises.
This causes them to question the legitimacy of the profits made by HFT firms. Many even consider it borderline market manipulation, since their profits are based purely on their trade being executed quicker than the ones resulting from the thoughtful analysis of professional traders. These grievances didn’t fall on deaf ears, since HFT based companies experienced some restrictions as a result, causing their numbers to drop. During the initial HFT rush, automated systems accounted for over 70% of all trade volume, however, by early 2018 it fell to just 50%. Today it mostly serves as a method to keep liquidity high, which also alleviated the worries of fund managers. Exchanges imposed new rules & capital requirement for these liquidity providers. Today their profit primarily comes from the exchange (in the form of commissions) as payment for them helping to ensure market liquidity. In Europe for example, these companies had to fit into the existing financial framework as outlined by part of the MiFID 2 regulations.