kusumaml's Projects
This project is a collaboration between a number of cohort members of a FinTech Bootcamp through Monash Uni (Australia). What we're attempting to build is an Algorithmic Trader which incorporates a number of signals (indicators and other inputs) into which a Machine Learning Model is created and trained. Using the ML model we create, trades can be made based on what the model predicts. Thus the name for our repo: algo-tradegotor :D
180+ Algorithm & Data Structure Problems using C++
An awesome curated list of resources, software and tools for crypto traders.
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | ιεδΊ€ζ | ιεζθ΅
Collection of freqtrade stuff
A data mining project to analyze the reaction of Twitter users after the falls of bitcoin throughout 2021
Here you can find Bull Market Support Bands for Crypto Assets in Pine Script
Candlestick patterns detector
Using Watson Studio to analyze the sentiment of articles about Bitcoin from Watson Discovery News
A collection of scripts to collect crypto market sentiment data
Python Dash app that tracks whale activity in cryptocurrency markets.
A web app to scan crypto markets based on candlestick pattern recognition from "Japanese Candlestick Charting Techniques: A Contemporary Guide to the Ancient Investment Techniques of the Far East"
Statistical and Algorithmic Investing Strategies for Everyone
Buys dogecoin if Elon Musk tweets about it, and sell it in minutes
Trading bot that uses Elon Musk`s tweets to know when to buy cryptocurrency.
A curated list of practical financial machine learning tools and applications.
This project is part of my Fintech homework in which I use a deep learning model to predict the price of bitcoin, given pricing data and sentiment analysis as an indicator (in ML terms, an additional feature).
Free, open source crypto trading bot
Free trading strategies for Freqtrade bot
Collection of strategies
This bot is designed to buy Dogecoin every time Elon musk tweets about Dogecoin.
Config files for my GitHub profile.
valuable sources for TA, FA, Algorithmic \ Quant Trading
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
[Python] Adopted Neural Network (LSTM), Time Series (ARIMA) and Sentiment Analysis (NLP) to predict Bitcoin prices
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
QTPyLib, Pythonic Algorithmic Trading
Augmento sentiment data quickstart and research