ftse100

🏆 A virtual assistant to assist traders with financial queries.

FAIG (Fully Automated IG) ... With stocks, FTSE100

Investigate the impact of general news headlines on Stock Indices

Selecting and optimizing portfolios involving FTSE 100 top 10 stocks. Comparison of each strategy performance over time with rolling statistics and tail risk metrics.

CS261 Team repository, financial trading assitant.

Markowitz minimum-variance FTSE 100 portfolio optimisation via SLSQP, under full-investment, target-return and no-short-selling (FCA retail) constraints. YAML-configured, per-run audit log. 12 tests.

A machine learning pipeline that combines financial fundamentals and historical stock trends to deliver more informed stock recommendations for London-listed companies.

n8n automation: daily FTSE 100 market report paired with the weather at each company's registered office

Offline-first FTSE 100 financial analysis using cached snapshots and demo reference feeds.

Econometric regression analysis of the FTSE 100 and S&P 500 using Bloomberg data and EViews.

Unsupervised ML project to cluster S&P 500 and FTSE 100 stocks based on risk metrics, uncover hidden relationships, and detect market anomalies using PCA, UMAP, HDBSCAN.

Stock price prediction project for FTSE project

Ridge-regularised FTSE 100 rebalancing under FCA position, sector and liquidity limits. Condition number reduced from 2,862 to 62.7 with cross-validated lambda. Externally code-reviewed. 21 tests.

AI-enhanced portfolio optimisation comparing MPT, XGBoost, and Random Forest across FTSE 100 equities. Built with Python, Jupyter Notebook, and Streamlit.