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amazing-python-scripts

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazonsagemakercourse

In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyper

amflearning

Data Stream processing project (M2DS - Institut polytechnique de Paris)

any-coin-tfn

modified Temporal Fusion Transformer to predict multiple cryptocurrency coin futures

anyscaledemos

arcticdb

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

arfima

Python implementation of ARFIMA process with an aim to simulate series.

article.dssapi.python.quantitativemomentumstrategyforpickingtopftsestocks

article.eikonapi.python.customisablerelativestrengthindices

In this article, we build a data-frame to output an instrument's Daily (i) Close Prices, (ii) ln (logarithme naturel / natural logarithm) Return, (iii) Close Price's 10, 30 and 60 Day Moving Averages, (iv) Close Price's ln Return 10, 30 and 60 Day Moving Average, (v) Annualised Standard Deviation (i.e.: volatility) of the 10, 30 and 60 Day Rolling Window (Natural Log) Returns (based on CLOSE prices), and (vi) Relative Strength Index (RSI). When it comes to the RSI data, a great article to read about its implementation can be found here (thank you Umer and Jason!). You may want to read into the installation of the TA-Lib library used to compute RSI data here. You may also want to read into how the way TA-lib calculates RSI; as per its GitHub documentation, it uses a Wilder Smoothing method to compute Moving Averages. Others may use different such methods (e.g.: Exponential Moving Average or Simple Moving Average). More information on Refinitiv Workspace's Chart App RSI can be found here and here. Previous RSI Python functions do not provide great amounts of customisation; in this article, we will create a Python function that does just that.

article.eikonapi.python.economicindicatorsml

This is a quick guide for those interested in using the large and varied economic timeseries offered within Eikon - using the Data API. In ths article I will show what economic data is available in Eikon, how to navigate it and download it and finally put it into use with a simple machine learning example using an XGBoost model.

article.eikonapi.python.indexratioanalysis

Forward Looking Index Ratio Analysis

article.eikonapi.python.optionpricingusingqiskitandeikondataapi

Quantum Finance- Option Pricing

article.eikonapi.python.pandasgui

This example project demonstrates how to use the PandasGUI tool using The demo application uses Corona Virus Disease (COVID-19) data from Eikon Data API as an example of a dataset.

article.eikonapi.python.peeranalysis

article.rdplibrary.python.deltahedging

artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

ashish_portfolio

Personal Portfolio

async-ticker

Kite connect websocket implementation in asyncio, to get away with twisted dependency.

atar

Algorithmic and Statistical modeling codebase aimed for development of control theory in micro/macro economics. Developed from previous client work, we plan to expand and incorporate scalable cloud-based solutions and end-to-end integration with various APIs one small step at a time.

author-identification-task

project implementation and codes for finding who wrote the given texts (using NLP)

autoai

Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.

automated_stock_trading_drl

automated_trading

High Frequency Trading (HFT) done using the Alpaca Trade API and Python.

automatic-order-book-scanner

Binance Automatic Order Book Scanner scans, aggregates price levels and displays them on a chart for further analysis

automating-technical-analysis

Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.

automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

autotrader

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

autotrader1

autotune