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10yr-treasury-notes-prediction-model

Prediction model for US 10Yr Treasury Notes using LSTM model (RNN architecture)

algorithmic_trading

Algorithmic trading using MACD strategy

bond_valuation

The model analysis bond as an investment. It calculates the bond value, yield to maturity, interest rate sensitivity, and holding period yield

capital-market-analysis---forecasting-financial-statement

The model forecasts the firm’s financial statements for five years and then discounts its projected dividends to estimate the value of the stock

capital_budget

credit-loan-risk-analysis

Analyzed credit loan data from Kaggle. with 132 variables and 300000+ records. The aim is to find significant factors that contribute to the loan default

fake_news_nlp_bidirectional_lstm

Model to check whether the news is legit or not using Bi-directional LSTM AI neural network

financial_planning

The model builds a financial planner to advise a client about how much to save and how to divide the savings among the various asset classes in order to live a comfortable life after retirement

finanial-analysis-using-python

Analyze stock data, calculate daily return, volatility and other market indicators. Also create portfolios and optimize them using CAPM model

food-servises-database

Syracuse University Food Services Database

fraud-analytics

machine-learning-

monte-carlo-simulation-to-predict-stock-price-movement

Used python to perform Monte Carlo simulation on stock data to predict movement in the stock

optimal_capital_structure

portfolio-management---optimization

Design Investment portfolios and optimized them on monthly basis

s-p-500-prediction-model-lstm-

Prediction model for S&P 500 index closing price using LSTM (RNN)

start-up-economic-financial-modeling

stock-market-sentimental-analysis

The model predicts the movement in the stock market based on daily top 25 news headline, trade volume and previous closing and opening prices

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks