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31 lines
1.4 KiB
Markdown
31 lines
1.4 KiB
Markdown
## 🧠📈 high-frequency trading and deep learning
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<br>
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#### 👉 start with [basic ta concepts](trading_on_gmx.md), [defi glossary](defi_glossary.md), and [reinforcement learning notes](reinforcement_learning.md)
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#### 👉 check trading [strategy metrics](strategy_metrics.md), [strategy workflow](strategy_workflow.md), and [deep reinforcement learning](deep_reinforcement_learning.md)
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<br>
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---
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### resources
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<br>
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* [learning to trade with reinforcement learning](https://dennybritz.com/posts/wildml/learning-to-trade-with-reinforcement-learning/)
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- denny delights us by showing that training reinforcement learning agents to trade in cryptocurrency markets is quite an interesting problem.
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* [building artificial intelligence trading systems](https://dennybritz.com/posts/building-ai-trading-systems/)
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- another gem from denny. "the market does not exist" and "specialization is often where the edge in trading comes from".
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* [list of cexes at coinglass](https://www.coinglass.com/)
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* [reinforcement learning with unsupervised auxiliary tasks, by jaderberg et al](https://arxiv.org/abs/1611.05397)
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* [advances in financial machine learning, by m. prado](https://github.com/midsumm3rDAO/library/blob/main/books/Advances+in+Financial+Machine+Learning.pdf)
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* [reinforcement learning, by r. suton](https://github.com/midsumm3rDAO/library/blob/main/books/SuttonBartoIPRLBook2ndEd.pdf)
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