ScientiaCapital
QuantResearch-AlgoTrading-MachineLearning-AI-Blockchain-Cryptocurrencies-dApps-SmartContracts
Scientia CapitalCDMX, Mexico City
Pinned Repositories
Algorithmic_Delta_Hedging
A library for black-scholes euro options pricing, algorithmic delta hedging, and visualization
alpaca-trade-api-python
Python client for Alpaca's trade API
BTC-Arbitrage-Assessment
Berkeley FinTech Bootcamp Challenge 03
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Machine-Learning-AlgoTrading
Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Prophet-Growth-Analysis
San-Francisco-Housing-Rental-Analysis
solar_energy_calculator
Python code to analyze the performance of a solar electric energy system
Venture-Funding-Prediction-Model
ScientiaCapital's Repositories
ScientiaCapital/BTC-Arbitrage-Assessment
Berkeley FinTech Bootcamp Challenge 03
ScientiaCapital/Machine-Learning-AlgoTrading
ScientiaCapital/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
ScientiaCapital/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ScientiaCapital/Prophet-Growth-Analysis
ScientiaCapital/San-Francisco-Housing-Rental-Analysis
ScientiaCapital/Venture-Funding-Prediction-Model
ScientiaCapital/Arbetrade
Machine learning and Algorithmic trading Using NLP / Logistic Regression to Predict Future Stock Movement Program that allows a user to choose a stock from the S&P 500 or VIX run a logistic regression model to predict the price movement of this stock ‘s on the future trade based on current sentiments of Reuters news articles and social media post related to that organization. This platform performs data training using various models to provide best analysis to help traders decide whether to buy or sell the stock.
ScientiaCapital/Blockchain-Backed-Ledger
ScientiaCapital/chainlink-mix
Working with smart contracts with eth-brownie, python, and Chainlink.
ScientiaCapital/Credit-Risk-Classification
ScientiaCapital/Cryptocurrency-Clustering
ScientiaCapital/ETF-Web-Application
ScientiaCapital/fastquant
fastquant — Backtest and optimize your trading strategies with only 3 lines of code!
ScientiaCapital/fbm
Exact methods for simulating fractional Brownian motion and fractional Gaussian noise in python
ScientiaCapital/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
ScientiaCapital/Financial-Planning-Tools
Financial Planning with APIs and Simulations
ScientiaCapital/FinTech-Finder-Cryptocurrency-Wallet
ScientiaCapital/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
ScientiaCapital/LilHomie
A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.
ScientiaCapital/Public-APIs
📚 A public list of APIs from round the web.
ScientiaCapital/pyfolio
Portfolio and risk analytics in Python
ScientiaCapital/react-financial-charts
Charts dedicated to finance.
ScientiaCapital/react-stockcharts
Highly customizable stock charts with ReactJS and d3
ScientiaCapital/Retirement-Robo-Advisor
ScientiaCapital/Robo-Advisor
ScientiaCapital/SenseLink
A tool to create virtual smart plugs and inform a Sense Home Energy Monitor about usage in your home
ScientiaCapital/sss
Stock Scanner & Screener: A yfinance-based Stock Scanner and Screener, focusing on Fundamental Properties of scanned stocks.
ScientiaCapital/Stock_Analysis_For_Quant
Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
ScientiaCapital/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.