Bumper has consistently outperformed leading off-chain Black-Scholes based pricing models like Deribit by up to 30%.
As the decentralized finance ecosystem continues its rapid growth and regains momentum, forward-thinking protocols are harnessing artificial intelligence to push the boundaries and redefine how we interact with and leverage digital assets., a crowdsourced hedge fund, uses AI to carry out trades based on predictions made by quants.Minswap Labs’s AI expertise to optimize liquidity provision via smart analysis and prediction.
Since BTC tick data constitutes hundreds of terabytes of data, datasets are reformatted using Retrieval Augmented Generation , a relatively new approach to transforming information. RAG technology will not only significantly enhance the performance, but it is also expected to enable the seamless integration of multiple asset price feeds in real-time and operate within the constraints of existing LLM context windows.
This technique represents an end-to-end multimodal model that connects a vision encoder with an LLM. The LLAVA can process both price charts and natural language technical indicators, training the overarching model on technical analysis using advanced Long Short-Term Memory algorithms for highly accurate time series prediction.Smarter Trading to Outperform the Market
Analysis using Bumper’s proprietary Agent-Based Modelling forecasts up to 25% economic efficiency gains by better balancing the trilemma between Lower Premiums, Higher Yields and Solvency Robustness through AI.
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