Retrieve real-time cryptocurrency data, and execute trading strategies. The code is written in Python and provides customizable options for trading strategies and risk management. Please note that it is important to understand the risks involved in cryptocurrency trading and to exercise caution when using automated trading bots.
Repo to save and share akilibot strategies
Stock screener featuring an applicative interface for composing financial indicators
showcase of how to use the quant backtesting framework (no longer maintain...)
A logical and reasonably simple project structure for developing quantitative trading work like strategies and research works.
This is the repository where I store the programs and projects I've done for the Udacity AI for trading nanodegree. The repository is focusing primarily on two aspects of trading namely Quantitative trading and AI algorithms in trading.
In this project, I will use quantitative analysis techniques, such as Sharpe Ratio's to leverage algorithmic trading strategies
Estratégias de negociação de criptomoedas com bot de negociação na plataforma freqtrade
Exploring and extending the PRDE trading strategy
Implementation of Smart Beta and Portfolio Optimization
Sup, this is a Strat I created and is not rlly working as intended when put into code... looking for help from people that actually know something about coding unlike me
Griffin-Package رونمایی از پکیج ترید من (گریفین) که بازی را تغییر میدهد
Diploma 2023 - 2024 Code and results
Automated generic trading system
Visual data analysis system for crypto traders with api polonex, coinmarketcap, coingecko
Various Trading Strategies implemented in Python
In this Jupyter Notebook file, I fetched data of Tata Motors Ltd. from Yahoo Finance and tried building a simple trading strategy where the decision to buy and sell was decided with the help of moving averages
KeyZones are price levels that act as barriers to price movement. Support levels are prices where buyers are likely to step in and buy, preventing the price from falling further. Resistance levels are prices where sellers are likely to step in and sell, preventing the price from rising further.
Using Supervised and Unsupervised Learning to predict stocks
DunamicBollingerBands
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