Next Steps
Optimisation
Expansion
Automation
Optimisation
News & Social Media Sentiment
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Obtaining labelled crypto news sentiment datasets to further optimise the title and text sentiment of news articles
Social Media Sentiment
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Obtaining labelled sentiment on social media posts related to crypto and financial activities from targeted pages and topics
Expansion
Trading Patterns
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Evaluate and expand the model and its effectiveness on other candlestick trading patterns, like Harmonic patterns
Time-series & on-chain data
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Integrating statistical analysis indicators, like support and resistance lines
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Experimenting with DEX (decentralised exchange) and CEX ) centralised exchange in-flow and out-flow data
Social Media Sentiment
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Obtaining enterprise APIs to other social media platforms, like twitter, and experimenting with the impact
Automation
News & Social Media Sentiment
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Automating the refresh and analysis of sentiment of news articles and social media posts released in real-time
Full Trading Automation
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Experiment with maximum yield metrics to have the solution automatically open and close positions according to future patterns