Cryptocurrencies, Algorithmic Trading and Machine Learning. Winning Combo?
summary
Presentation examines using machine learning with algorithmic trading techniques applied to cryptocurrencies. It describes tools and practical approaches for building trading systems that leverage ML to analyze crypto markets, including the tooling demonstrated in the session. The focus is on combining crypto assets, algotrading strategies, and machine learning methods to create effective trading solutions.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 3:00Data retrieval and integration
- 8:10Data storage and exploration
- 12:25Portfolio optimization with Sharpe ratio
- 16:56Prediction with ML and Prophet
- 20:49Service and results
- 23:19Conclusion
related talks
26mWhen Crypto Becomes Intelligent
09mLeveraging AI in Fintech: Security, Compliance & Automation
16mMachine Learning--Cybersecurity Boon or Boondoggle
44mAdvancing Cybersecurity with AI and Machine Learning: Opportunities and Challenges
23mWhy Fraud Detection, Sports Betting, and Bitcoin Prediction Look Alike
48mWhen Not to Use ML
24mMachine learning and financial time series analysis
49mCXO Panel: Cybersecurity: Is Machine Learning The Answer?
