📈 📉 ☁️ 🌛 Plot crypto with Ichimoku Kinkō Hyō indicators
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Updated
Dec 18, 2020 - Jupyter Notebook
📈 📉 ☁️ 🌛 Plot crypto with Ichimoku Kinkō Hyō indicators
Useful snippets of code for acquiring and analyzing stock market data.
A Matplotlib app to view the stock market value of your desired stock.
This program allows you to create and analyze a candlestick stock.
This repository will present some indicators using Python with the intention of helping people who are looking for a technical platform for free and also improve their trading discipline. It will be presented the most popular and widely used indicators of technical analyse
A simple bot that is used to trade cryptocurrency. The bot talks to exchange via an API and can place buy and sell orders automatically. (not with real money)
Repo for any analysis I conduct outside of work/project work. Includes 'Independent' and 'Supervised' work folders.
Exploratory data analysis using Python - binance, pandas, and mplfinance
A simple python bot that watches over your binance crypto wallet and notifies you when it's time to sell or buy.
Using Binance API get Financial data , and preprocessing it , and use MPL library doing visualization.
In this example we get values from yahoo api to make a view of a simple trading strategy
Data Pipeline (ETL) that logs the daily price of different stocks
A Python repository focused on applying Data Science to cryptocurrency trading on Binance Exchange
Jupyter Notebook to load and visualise Bitcoin market data from Coinbase Pro via Python and REST
display crypto prices
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
You can define your own trade conditions and by running CoinBasePro Trading Simulator to verify the conditions.
A repository for various Data Science projects I've worked on, both university-related and in my spare time.
Advanced Bitcoin indicator for strategic investment decisions, delivering consistent returns while minimizing drawdown risk.
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