Algorithmic Trading in Movies | These 10 Movies Scenes are Top Notch (2024)

By Chainika Thakar

Algorithmic trading is a passion for many and when it comes to watching a marvelous movie with algorithmic trading scenes or base of the plot, it can come as a treat.

Algorithms are becoming so prominently useful in today’s age that wherever possible, the execution is preferred to be done algorithmically rather than manually. Coding the algorithms makes life easier since the decision making is fast, accurate and leads to favourable results.

This article will take you through a personal favourite collection of ten movies with unbelievable scenes about algorithmic trading.

||SPOILERS AHEAD!||

The list goes as follows:

  1. The Bank
  2. Inside Job
  3. Too Big To Fail
  4. Margin Call
  5. Money and Speed: Inside the Black Box
  6. Limitless
  7. The Wall Street Code
  8. The Big Short
  9. Money Monster
  10. The Hummingbird Project

The Bank

The Bank (2001) is a movie that portrays a young mathematician named Jim Doyle who devises a formula to predict stock market fluctuations. The movie takes a turn when Jim is hired by a corrupt investment banker named Simon.

The investment banker or Simon desires to use the software to his own advantage. A must watch!

Inside Job

The documentary 'Inside Job (2010)' is about the real life crisis that took place between 2000-2007 starting with the dot-com bubble. During the housing boom, the ratio depicting the money borrowed by the investment banks versus the assets owned by the banks reached alarming levels.

The most unbelievable or incredible scene in the movie highlights how Goldman Sachs sold more than $3 billion worth of CDOs in the first half of 2006. Also, Goldman bet against the low-value CDOs, mentioning to the investors that they were high quality. Meanwhile, AAA-rated instruments shot up from some 2,000 to more than 4,000 in 2006.

Too Big To Fail

The movie 'Too Big To Fail (2011)' portrays the 2008 financial crisis and focuses on the actions taken by the U.S. Treasury Secretary - Henry Paulson and Ben Bernanke - Chairman of the Federal Reserve System to take care of the problems faced during the crisis.

The movie brilliantly shows how only ten financial institutions held around 77% of all U.S. banking assets and had been declared too big to fail. The scene where the authorities are worried that a press conference may happen soon following the collapse of the whole financial system is the most unbelievable scene.

The reason for the entire U.S. financial collapse is said to be the home loans that were distributed to the investors. Following a lot of home loan defaults, the collapse started taking place. Even the insurance firm known as AIG could not help insure against the defaults after a point in time.

Margin Call

Margin Call (2011) very subtly, and with entertainment, portrays how important it is to use risk management tools. A respected financial company is shown to be downsizing and one of the victims is the head of the risk management division, who was working on a major analysis.

His student completes the study late into the night and then frantically calls his colleagues about the company's financial disaster which he had discovered.

What follows is a long night of panicked double checking and double dealing as the senior management prepares to do whatever it takes to mitigate the failure.

Money and Speed: Inside the Black Box

Money and Speed: Inside the Black Box (2011) is a documentary that shows the impact as well as the possible cause behind a true event i.e. the Flash Crash that took place in 2010. It is a suspense thriller in which the main question as to where did the Flash Crash come from is answered.

The scene when the investigation to find the truth behind the event leads to the conclusion, is unbelievable. It showcases that the legislation lacks the transparency that people are expecting from it.

Limitless

Limitless (2011) portrays a man who manages to do everything that he wishes to. His brain works so fast that he manages to achieve things that a normal person would not be able to.

For instance, he can recollect something in detail, from many years ago. The most unbelievable scene in the movie is when he becomes the stock market king overnight. His journey to becoming the stock market king is depicted very well in the movie and is what makes the scene most liked.

The Wall Street Code

The Wall Street Code (2013) is a documentary film based on a real life algorithm builder called Haim Bodek. This thriller portrays the genius algorithm builder who stood up against Wall Street.

The movie shows how algorithms are usually not understood by anyone except for the ones who build them. Now, the incredible or unbelievable scene is when the algorithm that Bodek built (known to be the fastest algorithm) stopped working all of a sudden.

The profits disappear and it is all blamed on the algorithm builder Bodek and that is when he begins his journey to look for the cause. He decides to go public in order to expose the system that was rotten.

The Big Short

In this comedy-drama movie 'The Big Short (2015)', there are two characters namely Charlie Geller and Jamie Shipley who happen to be young investors. Although they are not the central characters in the movie, yet they happen to be a part of an incredible scene where they plan to visit the American Securitization Forum.

Here, they learn that the SEC has no regulations to monitor mortgage-backed security activities. Hence, they short the high rated AA mortgage securities which were considered highly stable and earn good returns due to the considerably high payout ratio.

Money Monster

The movie 'Money Monster (2016)' is best known for the plot that showcases how a proclaimed algorithmic glitch by an organisation called IBIS Capital results in tons of shareholders losing their money.

An investor is shown to have invested his entire fortune in IBIS Capital following the recommendation of a TV stock-market guru. An unbelievable scene during this movie is where one amongst the many investors who lost their capital starts to create a ruckus in the studio of stock-market guru.

This investor believes that the investments of the shareholders were instead lost because the authority or someone from the organisation meddled with the algorithm to make it look as if the money was lost due to a glitch. Hence, he threatens to kill the TV stock market guru if his money is not returned.

The Hummingbird Project

The Hummingbird Project (2018) is a wonderful thriller drama movie about high frequency trading. In this movie, the entire focus remains on trading in short intervals of time. The stockbroker named Vincent convinces another character named Taylor to purchase fiber-optic cables for front running the order execution.

The incredible scene shows how much the character named Vincent works in order to make the code 1 millisecond faster in order to be competitive in the financial market. Also, the fiber-optic cable needs to be as straight as possible to avoid any delays in the trade.

Conclusion

For someone who is interested in trading and in algorithmic trading, the movies mentioned above are a must watch! Nevertheless, these movies are my personal favourites.

Although, it would be great to know if you have any suggestions or comments with regard to some other scenes in the same movies as mentioned here or some other movies with brilliant scenes.

Please feel free to drop in your comments below about scenes, movies or anything related to the topic.

In case you're inclined to learn to quantitatively analyze time series, portfolio returns and risks, and design and backtest momentum trading systems, be sure to check out this course on momentum trading strategies by Quantra.

Disclaimer: All data and information provided in this article are for informational purposes only. QuantInsti® makes no representations as to accuracy, completeness, currentness, suitability, or validity of any information in this article and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its display or use. All information is provided on an as-is basis.

Algorithmic Trading in Movies | These 10 Movies Scenes are Top Notch (2024)

FAQs

How is algorithmic used in movies? ›

AI in Distribution and Marketing

Platforms like Netflix use AI algorithms to suggest films to viewers based on their viewing history, enhancing the user experience and increasing viewership. In marketing, AI tools analyze social media data to gauge audience sentiment and preferences, guiding marketing strategies.

How effective is algorithmic trading? ›

Since algo-trading does not require human intervention to make buying or selling decisions, algo-trades have a much higher accuracy. They are free of all human-made errors. For example, the algorithm will not misenter the quantity of units meant to be traded.

What is an example of algorithmic trading? ›

Example of Algorithmic Trading

Suppose you've programmed an algorithm to buy 100 shares of a particular stock of Company XYZ whenever the 75-day moving average goes above the 200-day moving average. This is known as a bullish crossover in technical analysis and often indicates an upward price trend.

How does Netflix use algorithms? ›

How does the Netflix algorithm work? Through item-item similarity measures, the Netflix algorithm determines additional content similar to the content the member has seen and then reverts back to the content that is the most similar to the content that the member has consumed.

What are the benefits of AI in movies? ›

Role of AI in Film Production

Script Analysis: Using deep learning, AI can analyze hundreds of scripts and predict their potential success or failure. This helps screenwriters fine-tune their scripts and optimizes the decision-making process for producers.

Does anyone actually make money with algorithmic trading? ›

Profit depends on the trader's strategies and capital allocation. On average, algo traders may achieve a profit margin around 1-3 times their acceptable drawdown. Successful traders with superior strategies and larger capital tend to make more.

How hard is algo trading? ›

Algorithmic trading is not difficult. On the contrary, it makes things easier for the traders. For instance, you want to calculate the returns of a few stocks in 2020 which you had bought in 2009.

Why doesn't algo trading work? ›

Lack of Human Judgment: Algorithmic trading relies on mathematical models and historical data, which means that it does not take into account the subjective and qualitative factors that can influence market movements.

Is algorithmic trading illegal? ›

Yes, automated trading is legal, but it is subject to regulations and compliance with financial laws in the jurisdiction where it is practiced.

What is the math behind algorithmic trading? ›

Algorithmic trading requires math to effectively analyse and predict market movements. Techniques like financial time series analysis and regression help in understanding historical data and forecasting future trends.

Who is the most successful Algo trader? ›

He built mathematical models to beat the market. He is none other than Jim Simons. Even back in the 1980's when computers were not much popular, he was able to develop his own algorithms that can make tremendous returns. From 1988 to till date, not even a single year Renaissance Tech generated negative returns.

How much money can you make with algorithmic trading? ›

There is no limit to how much money algorithmic traders can make, but making money from trading, irrespective of the method, is extremely hard. In fact, most traders fail to make money, and some even lose all their trading capital.

What is the success rate of algorithmic trading? ›

The success rate of algo trading is 97% Once you set the desired trade parameters, the program will do all the work. Bots monitor your trades to ensure you don't reach a loss point, leading to a success rate of up to 97 percent.

Which algorithms to use in movie recommendation systems? ›

The machine learning algorithm aims to discover user preference patterns used to make recommendations. One common approach is to use a user-item matrix. It involves a large spreadsheet where users are listed on one side and movies on the other. Each cell in the spreadsheet shows if a user likes a particular movie.

How are algorithms used in media? ›

In social media, algorithms are rules, signals and data that govern the platform's operation. These algorithms determine how content is filtered, ranked, selected and recommended to users. In some ways, algorithms influence our choices and what we see on social media.

What is the movie written by algorithm? ›

Sunspring is a 2016 experimental science fiction short film entirely written by an artificial intelligence bot using neural networks.

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