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AI + Quant

Explore all the ​AI + Quant Projects

"This was an amazing program overall and was helpful. I just feel building more impactful projects would be better but the structure was well thought and was made to account for a busy schedule."

This section is under development, we're working on it, some projects may not work as expected.

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AI + Quant

Clutch Player Predictor – NBA/NFL Edition

Use machine learning to predict which players consistently perform under high-pressure situations.

Identify clutch scenarios (e.g., final 2 minutes, close scores).

See Working on YT
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AI + Quant

Intraday Price Prediction with LSTM

Leverage sequential models to forecast short‑term price movements.

Backtest a simple “long if up, short if down” strategy and report metrics.

See Working on YT
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AI + Quant

Sentiment analysis on financial news

Track the emotional tone of daily financial news and analyze how it correlates with market moves.

Create a daily sentiment index and chart it over time.

See Working on YT
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AI + Quant

Yield Curve Fitting (Nelson–Siegel)

Build a smooth term‑structure model to price interest‑rate products.

Pull government bond yields for various maturities (e.g., 1M, 3M, 2Y, 10Y).

See Working on YT
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AI + Quant

AI-based Startup Risk Scorer

Build a tool that predicts the financial survival chances of early-stage startups based on limited available data.

Train a classifier (Random Forest, Logistic Regression) to output a risk score (0–1).

See Working on YT
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AI + Quant

Statistical Arbitrage Strategy Backtester

Identify and exploit mean‑reversion opportunities across paired assets.

Backtest the strategy over historical data, reporting P&L, drawdowns, and Sharpe ratio.

See Working on YT

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We encourage students to fill out the application themselves — it gives us a clearer sense of their interests and intent. Please take a moment to read through the questions and answer them with care. Each application is reviewed thoughtfully, so genuine, well-considered responses really do make a difference.

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