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In this work, we aimed to address the following question: are there less intuitive external factors that could still strongly in- fluence the market, even though we rarely think about them?
We’re building a startup analyser that goes beyond traditional data to include founder behavioural metrics. We turn “gut feelings” about a founder into measurable signals to predict the next unicorn.
Talent is everywhere, but opportunity is not. Ascendra helps students break through unfair career barriers with fair benchmarking, structured practice, and merit-based progression.
IO-HMM that detects when dealer gamma positioning makes markets structurally fragile — before crashes amplify. Real-time regime classification + novel Regime Amplification Index (RAI) from free data.
READ ME FILE
Encryption hidden in plain sight.
Misinformation detector
We track whether people are searching for something more than the news is covering it, and use that gap to understand how markets react to viral events.
Local Area Intelligence Tool assesses whether a postcode is suited for a potential homeowner by analysing transport, amenities, and safety data - combined with a LLM and predictive metrics.
We are using order book data and derived custom metrics in order to make markets on Polymarket's 15 minute to expiry binary options.
FieldOS, the one-stop shop for farmers where they have access to forecasts of weather conditions, volatility forecasting, FarmerGPT to answer all questions, essential dashboard/sentiment scored news.
An offering of benevolence to a suffering fellow gamer. Statistically.
Sigma Capital: A premium behavioral analytics suite for investors. Audits trades for 13 psych biases, visualizes real-world vs rational risk, and offers data-driven, rule-based coaching.
Write Python trading strategies, backtest them on 6 years of real BTC data, and get chess-style move ratings, ELO rankings, luck analysis, and regime profiling. See who's skilled vs. who's lucky.
Event-driven trading system that monitors Chinese,Russian and other media for policy signals that move markets before Western investors react. 1.86 Sharpe, 64% win rate across 25 trades over 11 years.
Terrain-Aware compression via Content Mixing
Cricket Predictor
We turn flight disruption into a market signal. Unexplained aviation stress predicts future volatility with a lag, showing real-world infrastructure can act as an early warning for financial risk.
UCLmogs presents Yield, a tool that helps you navigate relevant financial news and turns it into clear portfolio signals, showing what impacts your holdings and how to adjust position sizes.
Traditional markets don’t see everything, so we use unconventional data like Polymarket probabilities and GitHub issue activity to uncover hidden signals and test whether they truly predict outcomes.
Our project analyses the strongest traits of different strategies via an evolutionary process to mutate combination of traits that may take a traditional researcher too long to put together.
Entelechy delivers early alpha in commodity markets by extracting satellite signals on crop conditions ahead of yield visibility, combined with backtesting and real-time intelligence in one platform.
Choosing where to live means juggling rent, commute, and lifestyle — blindly. We turn your priorities into a personalized London heatmap, showing the neighborhoods where you’ll actually thrive.
We built a system that tells you a CPG company's supply chain is failing — 19 days before they announce it. Six live signals. 20 companies. The autopsy runs before the patient dies.
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