Easy to follow stock price analysis on Indian stock data
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Updated
Nov 14, 2024 - HTML
Easy to follow stock price analysis on Indian stock data
An implementation of Giuseppe Paleologo's Rademacher Antiserum, designed to assess strategy performance consistency through Rademacher complexity and RAS-adjusted Sharpe Ratios. This code evaluates strategy robustness by applying Rademacher random vectors for anti-overfitting analysis.
Streamlit application designed to forecast stock prices using a Hidden Markov Model (HMM) based on historical stock price data. The application enables users to view 1-day and multi-day forecasts for several major tech stocks, including: Apple Inc. (AAPL) Tesla Inc. (TSLA) NVIDIA Corporation (NVDA)
Live Excel Dashboards | Risk Scenario Analysis | Performance Analysis | Quantitative Analysis
financial modeling, business valuation, cash flow forecast, financial ratios, balance sheet
The Express Fiji Highway Project is a 40-year public-private initiative awarded in 2023 to build and operate a toll-based highway in Fiji. With a 4-year construction phase and 36 years of operation, it aims to enhance regional connectivity, foster economic growth, and provide reliable infrastructure for sustainable development in Fiji.
Python notebook implementing an Ising model stock analysis using nMF/TAP on S&P500, FTSE250, SSE380 data.
A Python package to model financial returns as Levy processes.
Welcome to my project portfolio! Here, I showcase my projects in finance, data science, and quantitative analysis, using various tools such as Python, Facebook Prophet, and machine learning.
Comprehensive analysis of delta hedging strategies, the methodology involves utilizing mathematical models (such as Black-Scholes and geometric Brownian motion) to simulate option pricing and stock price movements. It focuses on managing delta risk through dynamic hedging strategies and evaluates the impact of different hedging approaches.
An open-source Python framework for actuarial cash flow models
Discover how to leverage MATLAB for quantitative finance modeling
The Financial Inclusion Prediction project predicts bank account ownership among individuals in East Africa using demographic data. Built with Streamlit and powered by a Random Forest Classifier, the app provides instant predictions based on user inputs, addressing financial accessibility for approximately 33,600 individuals.
Lionel Sopgoui Website
A Python project that forecasts gold prices using machine learning and deep learning techniques, leveraging historical data and economic indicators for accurate predictions. If you need further modifications, just let me know!
Financial modelling in real estate asset & development planning, decision-making, cashflow forecasting, and scenario analysis.
A Python program for optimizing investments over a defined period, taking into account various parameters such as initial investment, duration, savings rate, dynamics, interest rate, and costs. The program provides both tabular and graphical representation of the investment's development, along with a detailed analysis of the results.
Quantum-Based Portfolio Diversification (QBPD) is a quantum algorithm designed to optimize and diversify investment portfolios using quantum computing principles.
Codes used for "Joint calibration to SPX and VIX options with signature-based models" by Christa Cuchiero, Guido Gazzani, Janka Möller, Sara Svaluto-Ferro
A set of financial analytics projects with python.
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