wisdomfe Goto Github PK

2_technicalwebscreener

A web based dashboard to find candestlick patterns in the SP500

autotrader

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

binance-trade-bot

Automated cryptocurrency trading bot

call-options-with-vba

A VBA file for pricing Call Options

fast_template

A template for really easy blogging with GitHub Pages

fastbook

The fastai book, published as Jupyter Notebooks

gap-analysis

A jupyter notebook to investigate GAP on weekly chart.

garch-model-with-matlab

A garch application in matlab

git-commands

A list of commonly used Git commands

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.

interest-rate-curve-calibration-with-ecb-data

Calibration of interest rate curve with sqnonli and Trust Region reflective algorithm

lise

Learning based Image Scale Estimation (LISE) for Quantitative Visual Inspection

matlab-engine-for-python

openbbterminal

Investment Research for Everyone, Everywhere.

portfolio-analysis-with-matlab

portfolio-correlation

An easy script to estimate correlation

probability-and-stop-loss

A jupyter notebook to find optimal stop loss point based on probability distribution of daily price

pyoma

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

sql-server-samples

Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge

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.

tensorflow

An Open Source Machine Learning Framework for Everyone

twitter-sentiment-analysis

An hands on jupyter notebook to ceck the sentiment of the last tweets about a topic

var-and-es-with-historical-and-historical-weighted-method-

In these Matlab scripts it is possible to find an easy implementation of VaR and ES with Historical and Historical weighted method.

volatily-analysis-of-sp500

Volatily analysis and estimation with Matlab