1 Introduction
2 Background
2.1 Deep learning
2.2 NLP and vectorization
3 Learning trading indicators on news
4 The studied model
5 Results
Time step | Case A (%) | Case B (%) |
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T0 | 57.94 | 57.94 |
T1 | 55.85 | 55.17 |
T2 | 54.79 | 55.59 |
T3 | 53.46 | 55.47 |
T4 | 53.60 | 57.75 |
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Start of Trump’s formal impeachment inquiry.
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Large crowds of protesters gathered in Hong Kong.
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Boris Johnson becomes prime minister.
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Protests for George Floyd’s murder explode.
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COVID-19 was declared a global pandemic by the WHO.
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The Summit in Singapore between Trump and Kim Jong-Un.
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Trump signs tariffs on steel and aluminum.
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Trump formally announced US withdrawal from the Paris Agreements.
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Trump signs a big tax cut that was beneficial to big corporations.
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Trump starts the government shutdown to build the wall.
Time step | Case A (%) | Case B (%) |
---|---|---|
T0 | 55.02 | 55.02 |
T1 | 53.65 | 54.01 |
T2 | 55.49 | 50.33 |
T3 | 56.43 | 50.00 |
T4 | 54.09 | 48.83 |
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True positives: 1212
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True negatives: 0
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False positives: 1055
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False negatives: 0
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True positives: 1625
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True negatives: 0
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False positives: 1367
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False negatives: 0
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Using news more focused on a specific security or newspaper.
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Testing cases right after the news comes out.
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Exploiting a dataset with more news per day.
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Exploring a wider variety of NLP methods in the preprocessing phase.
6 Discussion and future roadmap
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Second, the innovation of High-Frequency Trading (HFT) has improved the stock market as well by reducing trading costs, enhance liquidity, making markets faster and more reactive in calm times, but they do the exact opposite in troubled ones; exactly when the market would need it the most (Buchanan 2012).
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Third, hedge funds typically borrow money to attract investors and increase their profits. However, right before the “Quant meltdown” of August 2007 it was clear the strategies used became too similar, causing their margins to decrease. Therefore, to keep being appealing to investors, managers were slowly forced to increase leverage until it was unsustainable and everything collapsed (Buchanan 2012).