Neural network trading robot

Neural networks in trading robots. How'd you come up with the idea to build your stock trading bot?

Website Hello!

Follow me on my research journey where I develop a deep learning-based trading system.

What's your background, and what are you working on? I'm Sebastian Dobrincuand I'm a software engineer currently working as a neural networks in trading robots. I'm also an avid product maker who loves building side businesses and crazy projects. I initially built Stock Trading Bot as a personal research project. I was testing the waters to see if modern machine learning approaches can be used to predict and automate selling and buying of assets in today's stock market, at a much more efficient rate.

Currently I am the sole user. I'm planning to continue working on it with the goal of scaling the bot as much as possible. How'd you come up with the idea to build your stock trading bot? The idea popped up pretty randomly. I was getting ready to board a flight to SFO and decided to download some podcasts. I felt like trying something new, so I picked a few of the neural networks in trading robots popular ones from the Finance category.

The host brought up the topic of liquidity, which boils down to 3 measures: price, size, and time. Essentially neural networks in trading robots liquidity is high, investors can successfully trade a larger order close to the current price and within a short time span. Once they began debating whether or not high frequency trading was improving the market by providing liquidity, I switched to the Notes app on my phone and started furiously typing some of the main ideas.

Prior to this project, my experience with finance in general was pretty limited.

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I had a solid understanding of the fundamentals of trading but not much beyond that. Courtland from Indie Hackers Sebastian's eagerness to sit down and learn new things that are outside of his comfort zone is tremendously advantageous. The first one is probably the best piece on finance I've ever read. It literally answers all those questions any curious person who has ever made a trade might ask.

On the other hand, John Hull's book gave me a fantastic introduction on mathematical finance from an applied point of view. I highly recommend both if you are just getting started with trading. I believe we've reached a peak in the field of AI. We now have both powerful machines and enough data to process. With this in mind, my inner engineer got excited at the possibilities of tackling the market with today's advancement in technology. Besides that, I have an addiction for creating fascinating projects and this was no exception.

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How long did it take to build your bot, and what kind of tech did you use? The huge advantage is that you are not necessarily starting with a handicap against the big trading firms.

neural networks in trading robots

That's because when it comes to stock trading, even microseconds could make trades go wrong — such as your bot falling victim of a faster bot's bait offer. And guess indicator of binary options killbinarysignals 2 owns the faster servers and bots? With cryptocurrencies however, these small time increments are not nearly as important.

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Although I believe it's the golden age to be in the Bitcoin market because it's imperfectI quickly abandoned the idea maybe too quickly? Without boring you with technical details any longer, the solid trading APIs were mostly based on REST, which is not fast enough for what I was aiming for.

For proprietary reasons I will abstain from publicly discussing a lot of details about the technical implementation. Although I get many requests to open-source the project, I believe that disclosing deep details of the models or prediction approach would hurt the advantages that this solutions has over the other existing bots.

However, for anyone willing to learn more about that, I would be more than happy to discuss in private, to some extent. Long story short, I ultimately ended up going for the stock market, but not into high frequency trading in its real meaning. My bot holds a single position from seconds to minutes sometimes even hourswhich makes it more of an automated trader than a high frequency trader.

The reason behind this is that being an individual trader makes it extremely hard to compete with the big guys, as you're lacking perks such as very powerful hardware, advance trained software, and great locations for your servers. The closer to the stock exchange you are, the faster you receive the information. Large investment servers are literally paying millions to get their servers a few miles closer to the exchanges.

Their limitation is 3 requests per second, and this was more than enough for my new strategy. Getting solid historical financial data isn't cheap, and with so many people hitting the providers to scrape and download data, How to make money easy neural networks in trading robots blame them for limiting the offered information.

Intrinio is a good provider for real-time stock quotes at very inexpensive prices.

neural networks in trading robots

However, getting access to neural networks in trading robots in-depth data would always yield better results. I built the first prototype in a little under a month. I was working late hours, trying to find time around my daily job as a freelancer.

At this point the bot wasn't very smart. It took me about 2 more weeks to feed it with data until my error rate was satisfactory, and another 2 weeks to test it before putting it in production.

Summed up, the technical implementation of the current version took about 4 months, with some more improvements along the way. What are your goals for the future, and how do you plan to accomplish them? Since I publicly announced itI've been receiving dozens of offers from trading companies. At the moment the system gives me an edge over other traders. If I sold it, I'd be giving this advantage to other traders and, subsequently, losing my lead.

neural networks in trading robots

Although I do not exclude a future buyout, I am presently focusing on improving the product and trying to scale it. One of the things that I plan on doing soon is increasing the capital and therefore putting the bot through more trading volume.

There are tons of improvements I have in mind, especially on adjusting the position-holding time span, as well as solutions to make it more lightweight, facilitating larger volumes. What are the biggest issues you've faced? What would you do differently if you had to start over? I wasted way too much time trying to apply high frequency trading in Bitcoin.

At first the idea sounded great, but I was soon facing a lot of technical issues trying to scale the amount of requests. However, I am not yet convinced that it's impossible to achieve true HFT with cryptocurrencies, so it might be something I come back to in the future.

neural networks in trading robots

After drifting away from the idea of HFT due to the technical limitations, I looked into a more analytical approach in automated trading. Most of those concepts couldn't be applied in the Bitcoin market, as it's highly unpredictable, making it hard to shape the models around it. That's when I decided to stick to the stock market. Courtland from Indie Hackers It's important to know when to ignore things. For example, I see lots of indie hackers blindly following advice that only works for VC-funded companies.

Another big mistake in the beginning was relying too heavily on models.

  • At first I need to say that backtests are very impressive.
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  • Most AI and Deep Learning sources have a tendency to only present final research results, which can be frustrating when trying to comprehend and reproduce the provided solutions.
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  • This is the narrow sense of this problem.
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Instead of trying different approaches in analyzing the data I had, I relied solely on the models for identifying profitable patterns without investing time into other more direct solutions. Models are only simple real world abstractions, and my common sense has saved me more than once. Now this is not by any means a reliable metric, and there are many factors that affect it.

The bot has not been tested enough to guarantee that this isn't just a fluke it might as well be. Large investment management companies would do anything to achieve those statistics, and I'm sure I won't keep up that amount of success in upcoming trades.

neural networks in trading robots

The success so far was also greatly impacted by the favorable market conditions, chosen stocks, and the fact that the bot was running intermittently. I learned this the painful way. Not too long ago the market went neural networks in trading robots crazy, and I'd be lying if I said that I wasn't expecting some major crashes of the stocks Neural networks in trading robots was trading.

Then it happened. Although my stop-loss saved me from some brutal losses, had I not stepped in at the right time, the bot would've ruined all the profit from the past months. That event really got me thinking, and I decided to stop it running for a few days until I fixed that loophole. This was also a great learning experience for me, and I believe that without going through those ups and downs, I would've never managed to get the algorithm to where it is today.

I have no regrets losing time on Bitcoin, as it gave me a deeper understanding of how cryptocurrency trading works, which might prove useful some day. What were your biggest advantages? Was anything particularly helpful? Probably my biggest single advantage is being a starry-eyed young dreamer.

To some extent, this allows me to believe enough to put effort into ideas in that others wouldn't. That's what motivated me to persevere in finding those "backdoors" in the market. While many people believe individual traders don't stand much of a chance against the well-equipped companies, I am here to prove that with the right implementation there still is plenty of space in the market. Another immensely helpful resource were the public research papers available online.

In fact, I got tremendous help from papers published back in I often found that most of them are easily overlooked, although they contain super useful analyses.

neural networks in trading robots

Being a workaholic has also contributed a fair amount to this success. I have no issue whatsoever working hours per day. With time, I developed a very productive and consistent lifestyle, managing to get rid of most distractions. This allowed me time to invest in polishing and researching the different strategies for this project.

What's your advice for aspiring indie hackers? Courtland from Indie Hackers I've met a few people on the forum who are waiting around for the perfect idea, or spending years to make their product perfect.