Search Results for "general morphological analysis"

Freqtrade is a free and open-source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram or WebUI. It contains backtesting, plotting, and money management tools as well as strategy optimization by machine learning. Always start by running a trading bot in Dry-run and do not engage money before you understand how it works and what profit/loss you should expect. We strongly recommend you have basic coding skills and Python...

The Bitcoin blockchain, currently 280 GB and growing, contains a massive amount of data that can give us insights into the Bitcoin ecosystem, including how users, businesses, and miners operate. BlockSci enables fast and expressive analysis of Bitcoin’s and many other blockchains. Current tools for blockchain analysis depend on general-purpose databases that provide "ACID" guarantees. But that’s unnecessary for blockchain analysis where the data structures are append-only. We take advantage of this observation in the design of our custom in-memory blockchain database as well as an analysis library. ...

Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models,...

...Flexible sampling period and trade frequency - averages 1-2 trades/day with 1h period, 15-50/day with 5m period. Crypto-currency is still an experiment, and therefore so is Zenbot. Meaning, both may fail at any time. Running a bot, and trading in general requires careful study of the risks and parameters involved. A wrong setting can cause you a major loss.

Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and...

A container with the required dependencies configured can be found here. The image is however outdated. We are working on pushing the latest image to dockerhub for your convenience. If you experience any issues with this image, please try to build a new docker image by pulling this codebase before open an issue. A collection of the utilities that were developed for the paper are in misc_utils. Use them at your own risk - they have mostly been disposable. This is an improved version of the...