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algorithmic_trading

We will use python programming and machine learning to create an algorithmic trading bot that learns and adapts to new data and evolving markets.

bandersnatchstarter

blockchain_wallets

blockchain_with_python

This ledger should allow partner banks to conduct financial transactions (that is, to transfer money between senders and receivers) and to verify the integrity of the data in the ledger.

crypto_diversification_analysis

IS CRYPTO DECOUPLED FROM THE PRICE ACTION OF STOCKS AND WILL IT INCREASE/DECREASE IN THE FUTURE?

crypto_signal_provider

This is a web application that allows users to select a cryptocurrency, select a machine learning model, and pull historical data to predict its future price.

data_visualization_pyviz

Analysis of the housing rental market data for San Francisco. The analysis will be complete with professionally styled and formatted interactive visualizations.

financial_analysis

A financial analysis that study the arbitrage opportunities in bitcoin and other crypto currencies following the 3 phases in financial analysis.

financial_application

A digital mortgage loan qualifier app.

financial_database_sql

Passive investing means that you invest in a basket of assets that’s called an exchange-traded fund (ETF).

financial_programing

Program that automates the tasks associated with valuing microlending loans.

financial_simulation_apis

Two financial analysis tools by using a single Jupyter notebook

go-flare

go-flare is a modified version of avalanchego + coreth that incorporates the Flare Time Series Oracle (FTSO) and State Connector.

machine-learning-for-algorithmic-trading-second-edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

neural_networks

We will work as a risk management associate at Alphabet Soup, a venture capital firm.

quantitative_analysis

A quantitative analyst for a FinTech investing platform. This platform aims to offer clients a one-stop online investment solution for their retirement portfolios that’s both inexpensive and high quality.

robo_advisors

Bot that will recommend an investment portfolio for a retirement plan.

rulo96z

Python Projects: pandas, numpy

smart_contracts_with_solidity

supervised_learning

Credit risk poses a classification problem that’s inherently imbalanced. This is because healthy loans easily outnumber risky loans.

time_series

With over 200 million users, MercadoLibre is the most popular e-commerce site in Latin America. You've been tasked with analyzing the company's financial and user data in clever ways to make the company grow.

tokenomics

tpqoa

tpqoa is a Python wrapper package for the Oanda REST API v20 for algorithmic trading.

unsupervised_learning

We will create a Jupyter notebook that clusters cryptocurrencies by their performance in different time periods. You’ll then plot the results so that you can visually show the performance to the client/ board.

vouting_proyect

Create a voting dapp that will take in a unique verified public address that will be given a single coin to place a vote. The coin will be sent to a unique account associated with the vote that was placed. The vote will be signed and sent to the unique account. Then using that we can obtain a balance of those minted tokens for each unique account to get a live chart for the poll.