Finance/Economics Consulting
Quantitative finance
I can use my mathematics and statistics experience to help you analyze financial markets.
I can also help you develop and implement strategies for the financial markets as software applications in Python and C++.
Some of the markets I have worked on are stocks, crypto, ETFs, futures, indices, oil, gold, and silver.
Market Analysis
Understanding a market can require the understanding of several variables that influence this market.
For example, some of the variables that influence the housing market are employment, population, and GDP.
I can help you understand how a market is impacted by other forces and how this market is likely to move in the future. To do so, I will dive deep into the data and extract the insights in detailed reports.
I can create reports in Word, PowerPoint, Tableau, Power BI, Looker, and Python.
Projects
Time Series Forecasting Model for Ethereum (ETH)
The goal was to build a machine learning model that can predict daily high prices of Ethereum.
Python Algorithms for Financial Market Data
This project was about building a web app that displays charts with price data, signals (green and red dots), and metrics.
Housing Market Predictive Model in Python
This project was about building a predictive model for the Zillow Home Value Index. The model predicts home prices for the next 3 months on the monthly data and for the next 3 years on the yearly data.
Mathematical Formula for Trading Risk Management
This project was about developing a mathematical formula that computes the amount to risk in trading, given the trailing drawdown, win rate, and risk/reward.
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