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Introducing Whipped. Don’t get whipped by the listing. Whipped tells you whether a used car is a buy, a negotiation target, or a trap - with fair-price bands, risk signals, and ownership forecasts.
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.
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.
Misinformation detector
Cricket Predictor
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.
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.
AI-powered V2G optimizer that turns EV fleets into grid assets. Neural demand forecasting provides 60-min lead time on peak events, dispatching batteries to cut costs and stabilise frequency.
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.
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.
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.
READ ME FILE
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?
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