#
financial-machine-learning
Here are 22 public repositories matching this topic...
Quant/Algorithm trading resources with an emphasis on Machine Learning
machine-learning
awesome
deep-learning
awesome-list
trading-strategies
stock-trading
machine-learning-trading
financial-machine-learning
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Dec 17, 2021
A collection of awesome papers, articles and various resources on credit and credit risk modeling
awesome
awesome-list
credit-scoring
sample-selection
financial-machine-learning
reject-inference
credit-modeling
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May 15, 2021
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
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Oct 24, 2020 - Jupyter Notebook
algorithmic trading using machine learning
algotrading
robinhood
algorithmic-trading
financial-machine-learning
algotrading-machine-learning
algorithmic-trading-python
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Mar 1, 2022 - Python
Python library for building financial machine learning models.
python
time-series
algorithmic-trading
quantitative-trading
financial-machine-learning
mizar
mizar-labs
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Jun 1, 2021 - Python
python
finance
machine-learning
research
trading
investing
portfolio-optimization
quantitative-finance
algorithmic-trading
portfolio-management
financial-machine-learning
adv-in-financial-machine-leaning
mlfinlab
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Apr 23, 2020 - Jupyter Notebook
Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning
python
finance
machine-learning
research
trading
investing
portfolio-optimization
quantitative-finance
algorithmic-trading
portfolio-management
financial-machine-learning
adv-in-financial-machine-leaning
mlfinlab
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Apr 6, 2020 - Python
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
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Jul 6, 2021 - Jupyter Notebook
Implementations of Genetic Methods for Financial Machine Learning Applications
python
genetic-programming
hyperparameters-optimization
genetic-algorithms
evolutionary-computation
topology-optimization
financial-machine-learning
symbolic-model
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Jun 1, 2021 - HTML
Implementations for Adances In Financial Machine Learning
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Feb 9, 2020 - Python
Numerai's Next Top Model
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Dec 11, 2021 - Python
Advanced Financial Machine Learning Toolbox
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Jul 7, 2020 - Python
Apply a Transformer-based model for financial data prediction.
machine-learning-algorithms
transformer
financial-analysis
financial-machine-learning
financial-analysis-engine
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Jun 9, 2021 - HTML
Comprehensive analysis of various ML models to detect fraud in financial transactions.
machine-learning
neural-network
random-forest
logistic-regression
support-vector-machine
decision-trees
fraud-detection
financial-machine-learning
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Nov 28, 2021 - Jupyter Notebook
Setting up monitor windows to track the stock price movement directions and make prediction on future price movement in a short time.
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May 2, 2021 - R
How to use sentiment analysis to predict stock's sentiment
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Sep 21, 2021 - Python
Dissertation - Individual (305AAE/306AAE) Project
finance
machine-learning
big-data
university
neural-network
matlab
ml
neural-networks
financial-markets
coventry-university
financial-machine-learning
305aae
306aae
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Jun 29, 2021 - MATLAB
A set of financial analytics projects with python.
python
deep-learning
cryptocurrency
stock-market
financial-analysis
credit-risk
financial-machine-learning
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Sep 15, 2021 - Jupyter Notebook
Standard & Poor's 500 Financial Analysis
data-science
machine-learning
financial-analysis
stock-analysis
time-series-analysis
financial-machine-learning
stocks-predictor
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Nov 6, 2021 - Jupyter Notebook
A tool to detect whether numerals present in Financial Texts are in-claim or out-of-claim
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Mar 3, 2022 - Jupyter Notebook
Convex linear models, Linear Regression, Logistic Regression, and Support Vector Machines, to test convexity and performance by using non-linear endogenous features in time series data.
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Jun 1, 2021 - HTML
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According to @rspadim, functions in
entropy.pycould use numpy array instead of strings, as it's better to numba.Guide on how to implement this is available in the comments in PR #311 .