Hull Tactical Market Prediction
This repository contains code for the Hull Tactical Market Prediction Kaggle competition.
The goal is to forecast daily excess returns of the S&P 500 using historical market and proprietary signals, optimizing a custom risk-adjusted performance metric (Hull Competition Sharpe).
Overview
- Predict S&P 500 excess returns and generate trading positions.
- Evaluate using the Hull Competition Sharpe metric.
- Focus on time-series validation and volatility control.
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Description
This repository is to participate in hull tactical market prediction challenge.
https://www.kaggle.com/competitions/hull-tactical-market-prediction
Languages
Python
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