Pinned Repositories
2019-datascience-lectures
Lecture content for 2019 course.
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
AeroPy
Python interface for XFOIL. The objective of this library is to be able to be able to call XFOIL from Python iteratively for any simulation in a total of 4 lines total.
agency-loan-level
Loan-level analysis of Fannie Mae and Freddie Mac data
AIAlpha
Use unsupervised and supervised learning to predict stocks
aidoom.github.io
test
test
tnet's Repositories
tnet/Deep-Portfolio-Management
Source code for the blog post on the evolution of the asset allocation methods
tnet/chowtest
Python package to test for structural breaks at a specified date using the Chow Test.
tnet/SouthwestCheckin
🛫 Python script to checkin to a Southwest Flight 🛬
tnet/Monte-Carlo-Simulation-for-Generating-Stock-Price-Prediction-Intervals
tnet/stress-testing-with-jupyter
Various stress testing/risk modeling techniques in a jupyter notebook, in Python 3.4.
tnet/FANG-stock-prediction
tnet/De-skew-scanned-pdf
Correct Skewed pdf documents using Hough Line Transform and Fourier Transform
tnet/ExcelRefresh
command line utility to refresh Excel documents and their external connections, query tables and pivot tables.
tnet/Bitcoin-Trader-RL
A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
tnet/FinanceOps
Research in investment finance with Python Notebooks
tnet/ReasonableDeviations
my webpage
tnet/2019-datascience-lectures
Lecture content for 2019 course.
tnet/Data-Science-Resources
tnet/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier and advanced methods.
tnet/marketstore
DataFrame Server for Financial Timeseries Data
tnet/cvxportfolio
Portfolio optimization and simulation in Python
tnet/MachineLearningStocks
Using python and scikit-learn to make stock predictions
tnet/findatapy
Python library to download market data via Bloomberg, Quandl, Yahoo etc.
tnet/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
tnet/pymarketstore
Python driver for MarketStore
tnet/Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
tnet/trend-day
Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and holds until the close. From Ernie Chan's book Algorithmic Trading. Runs in Moonshot.
tnet/ib_insync
Python sync/async framework for Interactive Brokers API
tnet/python-patterns
A collection of design patterns/idioms in Python
tnet/awesome-public-datasets
A topic-centric list of HQ open datasets in public domains. PR ☛☛☛
tnet/algorithms
Minimal examples of data structures and algorithms in Python
tnet/pysystemtrade
Systematic Trading in python
tnet/StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
tnet/stocksight
Stock analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
tnet/backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.