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Hi, I’m currently working on a foundation model startup and would love some feedback… Due to the unique and complex patterns found in financial time series, I believe a data-specific foundation model for the financial markets will be needed. While current pre-trained time series models are a good starting point, they still need further fine-tuning to be effective forecasting tools in volatile markets. I propose a zero-shot forecasting model specifically built for the financial markets. The model can predict one-step ahead the directional price movement of any exchange-traded instrument from minutes to weeks in advance. To leverage the model's full potential, multiple time series forecasts should be combined to understand how price is changing holistically e.g. 1 day and 1 week forecasts. While the model can not predict Elon Musk's next potential acquisition, it can provide valuable insight into an instrument's future price volatility. Using your own OHLC price data (csv format), you can test the model using the attached link. I plan to release the model in the next few weeks, but any feedback before then would be appreciated. submitted by /u/Extreme_Use_7775 |