Pinned Repositories
ai_for_trading_nanodegree_alpha_research_multi_factor_modeling_project
Modeling a multi-alpha factor stock portfolio. For Udacity's AI for Trading Nanodegree.
Algorithmic-Trading
Algorithmic trading using machine learning.
AlgorithmicTrading
Algoritmic Trading with ML
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Candle_sticks_shape_Cluster_analysis
Cluster analysis on shape of candle stick based on K-means cluster algorithm
coanalyst
Deep-Reinforcement-Learning-in-Trading
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Machine-Learning-for-Algorithmic-Trading-Bots-with-Python
Python-Algorithmic-Trading-Cookbook
Python Algorithmic Trading Cookbook, Published by Packt
damonclifford's Repositories
damonclifford/awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
damonclifford/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
damonclifford/bootstrapped
Generate bootstrapped confidence intervals for A/B testing in Python.
damonclifford/BossSensor
Hide screen when boss is approaching.
damonclifford/compas-analysis
Data and analysis for 'Machine Bias'
damonclifford/Convolutional-Networks-for-Stock-Predicting
This is a Machine Learning project using Convolutional Neural Network to predict the stock price. It is done after a project article by Ashwin Siripurapu from Stanford University but in a different way.
damonclifford/courses-1
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
damonclifford/dash
Interactive, reactive web apps in pure python :star:
damonclifford/Deep-Convolution-Stock-Technical-Analysis
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
damonclifford/deform
A Python HTML form library.
damonclifford/dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
damonclifford/Human-detection-and-Tracking
Human-detection-and-Tracking
damonclifford/learnopencv
Learn OpenCV : C++ and Python Examples
damonclifford/MachineLearning
Basic Machine Learning and Deep Learning
damonclifford/MarketVectors
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
damonclifford/oandamomentum
Building a time series momentum strategy for Oanda by following this guide: https://www.oreilly.com/learning/algorithmic-trading-in-less-than-100-lines-of-python-code
damonclifford/oandapy
Python wrapper for the OANDA REST API
damonclifford/OllieWilliams
Ask Ollie what the weather is
damonclifford/opencv-python-blueprints
OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python
damonclifford/People-Counter
This program count incoming and outcoming people, who crooss by hall
damonclifford/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
damonclifford/pyalgotrade
Python Algorithmic Trading Library
damonclifford/QuantInsti-Final-Project-Statistical-Arbitrage
QuantInsti EPAT: Final Project on Statistical Arbitrage
damonclifford/SimpleCV
The Open Source Framework for Machine Vision
damonclifford/Stock_Price_Prediction_With_RNNs
Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.
damonclifford/tensorflow
Computation using data flow graphs for scalable machine learning
damonclifford/TensorFlow-World
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
damonclifford/TNT
Douglas Hofstadter's "Typographical Number Theory"
damonclifford/udacity_intro_to_ai
Following the online Intro to Artificial Intelligence course on Udacity, I wrote this note to help me easily remember what I learned.
damonclifford/zipline
Zipline, a Pythonic Algorithmic Trading Library