| This repository is the official codebase for Bittensor Subnet 28 (SN28) v1.0.0+, which was released on February 20th 2024. |
Testnet UID: 272 Mainnet UID: 28 |
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Foundry Digital is launching the Foundry S&P 500 Oracle. This subnet incentivizes accurate short term price forecasts of the S&P 500 during market trading hours.
Miners use Neural Network model architectures to perform short term price predictions on the S&P 500. All models and input data must be open sourced on HuggingFace to receive emissions.
Validators store price forecasts for the S&P 500 and compare these predictions against the true price of the S&P 500 as the predictions mature.
Please read the incentive mechanism white paper to understand exactly how miners are scored and ranked.
For transparency, there are two key metrics detailed in the white paper that will be calculated to score each miner:
- Directional Accuracy - was the prediction in the same direction of the true price?
- Mean Absolute Error - how far was the prediction from the true price?
Integration into financial markets will expose Bittensor to the largest system in the world; the global economy. The S&P 500 serves as a perfect starting place for financial predictions given its utility and name recognition. Financial market predictions were chosen for three main reasons:
Financial markets provide a massive userbase of professional traders, wealth managers, and individuals alike.
By tying the rewards mechanism to an external source of truth, the defensibility of the subnet regarding gamification is quite strong.
The adversarial environment, especially given the rewards mechanism, will allow for significant diversity of models. Miners will be driven to acquire different datasets, implement different training methods, and utilize different Neural Network architectures in order to develop the most performant models.