High-frequency trading algorithm

Algorithmic High-Frequency Trading: How to Get Started

 

High-frequency trading, or HFT, algorithms take advantage of the time it takes the human eye to register changes on the screen.

This allows high-frequency traders to buy and sell stocks in fractions of a second, reaping profits at speeds most humans can’t even fathom. The problem with HFT is that these algorithms aren’t exactly conducive to transparency in the stock market.

If you have an interest in learning more about algorithmic high-frequency trading and how to get started, keep reading!

 

Getting an account with a broker

Now that you’ve got your strategy ready, it’s time to look for a broker. The first step here is to decide whether you want a full-service broker or an electronic communications network (ECN) broker.

A full-service broker will charge you on a per-trade basis and help guide your execution, while an ECN will quote you prices at which they can buy and sell stocks but then route your order elsewhere if it can execute better pricing.

Most of these brokers have their own websites where you can submit an application or get more information about their various plans, but I'd suggest calling them as well—you may find something helpful on their site but even more helpful advice by talking directly with someone there.

 

Filling up your watch list

First, we need a way to track stocks. A watch list can be as simple as a text file on your computer or an Excel spreadsheet. We’ll use $TODAY + Watchlist in Excel (or its equivalent in other programs) and change it each day so we always know what date is on our watch list.

Then we’ll add tickers (the abbreviated name of stock) one per line, using =INDEX($TODAY + Watchlist,1,1). This will select from our watch list every time $TODAY changes—which it will every day at around 6 PM EST since that is when most U.S.-based exchanges close for trading for that day.

 

Backtesting your algo on historical data

There are a few ways you can approach backtesting. First, you could go through historical data and see how well your algorithm performed against that data.

This is called historical backtesting. Second, you could run some past data against your algorithm in real-time and see how it performs live.

This is called real-time backtesting. Both types of backtesting are useful when evaluating your algo's performance—and if done correctly, you'll likely wind up with a much better system than if you'd skipped it altogether.

It's also important to note that while backtesting is great for evaluating an algo’s performance, it doesn't really tell you whether or not an idea will be profitable over time. Backtests are just simulations; they don't account for human emotion or unpredictable market events.

 

Automating your strategy on live markets

First, you’ll need a trading strategy that generates positive returns. Next, you’ll need a brokerage account with its own API that allows you to trade directly from your computer.

The setup process is pretty straightforward and should only take a few minutes if all goes according to plan. Before we dive into our tutorial, make sure your strategy works on historical data (i.e., past price action) before running it live on real market data.

In other words, don’t go placing any trades just yet—not until you confirm your strategy can consistently deliver positive returns by simulating it in advance. Once you have done so, then it’s time for some hands-on action!

 

Realizing the involved

Although high-frequency trading is a fast, lucrative game that involves buying and selling assets at lightning speed, it also contains a lot of potential pitfalls. Being knowledgeable about these can help you be a more effective high-frequency trader and reduce your of mistakes.

In addition, once you understand what could go wrong on your end, you’ll have a better sense of how to make sure that nothing does go wrong. Here are some things you need to know about before jumping into the field. 2) What sort of prerequisites do I need?

3) Where should I start learning?

4) Which languages should I learn?

5) What hardware will I need?

6) Can I use a cloud computing service instead?

7) Are there any involved with using cloud computing services? 8) Do high-frequency traders use open source software? 9 ) What other factors do I need to consider when choosing an HFT platform?

 

Summary and tips

Algorithmic high-frequency trading (HFT) is a way for you to quickly buy and sell stock. But what does it mean? Essentially, HFT lets you place your trade at a speed that traditional traders can’t match. Why is speed important?

First, there are millions of dollars in profit out there that no one has claimed yet; second, as algorithms get faster and competition heats up, you’ll have less time to react if someone else moves on your trade before you do. Today we'll look at how HFT works, who profits from it, and ways you can replicate it in your own account—starting right now! HFT, also known as algorithmic trading or black-box trading, is an automated, high-volume, and high-frequency trading (HHT) of financial instruments.

It is executed by electronic algorithms that are designed to exploit minuscule inefficiencies in various markets and trade orders at speeds unattainable for a human trader. If you want to get into HFT and automated trading but aren’t sure where to start with your research, check out these tips for doing so effectively.

As a part of your research, it’s important to remember that not all markets lend themselves well to automation or HFT techniques. Markets such as stocks, futures, and options might have an inherent value proposition for using automated methods.

Conclusion

With high-frequency trading, you can capitalize on information that many traders simply don’t have. This can be a powerful position for any trader to be in and it’s one that’s often worth pursuing. If you haven’t already started trading with a high-frequency algorithm, there’s no time like the present.

Set up your system and test it out with some sample trades before jumping in headfirst—but make sure you keep an eye on your money management strategies while doing so!

You’ll need to set appropriate stop losses and  limits when using a high-frequency strategy as well as ensure that you have enough capital behind your trades. Once you get used to how things work, though, high-frequency trading is an excellent way to boost your bottom line.