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How Data Transformed Trading

In How Data Transformed Trading, discover how data became a powerful tool for understanding human behavior — and making big money! Meet David Harding, a science graduate who shook up the chaotic world of trading by using math and data to predict price patterns. While others trusted their gut, Harding believed data and the right computer algorithms could crack the code of the stock market. Today, his company invests billions, proving that smart data (and a little science) can change the game! This video is excerpted from BBC’s Horizon: The Age of Big Data, which explores how data has shaped industries, economies, and human behavior.

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United Kingdom
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Horizon: The Age of Big Data
Time:
4:45
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Q: How did the introduction of computers in the mid-1980s change the way people approached trading in financial markets?
A: Computers made it easier to collect and analyze large amounts of data, allowing for more precise and calculated trading decisions. This shift transformed trading from guesswork to data-driven strategies.

Q: How can the use of data in trading be both an advantage and a potential risk?
A: Data can give traders an advantage by revealing patterns and trends, leading to smarter investments. However, relying too heavily on data without considering market changes or unexpected events can lead to mistakes or financial losses.

Q: In what ways did Harding’s scientific approach to trading shape the future of financial markets?
A: His approach helped create a new standard in trading, where data and algorithms became crucial tools for success. This inspired other companies to hire scientists and develop their own data-driven strategies.

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