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Description
Catalyst is a Python-based algorithmic trading library specifically designed for cryptocurrency assets. It simplifies the expression and backtesting of trading strategies against historical data, available in both daily and minute intervals, while also providing valuable analytics to assess a strategy's effectiveness. In addition, Catalyst facilitates live trading across four exchanges—Binance, Bitfinex, Bittrex, and Poloniex—with plans to integrate more in the future. The platform enables users to collaboratively share and curate data, fostering the development of profitable, data-driven investment approaches. For further information about Catalyst, visit catalystcrypto.io. Built upon the well-regarded Zipline project, Catalyst strives to maintain a familiar API structure, ensuring compatibility with pre-existing trading algorithms, developer expertise, and available tutorials. We encourage you to engage with us on the Catalyst Forum for inquiries related to Catalyst, algorithmic trading, and technical support, as community interaction is key to enhancing your trading experience.
Description
Craft your trading strategy in Python, utilizing the pandas library for data manipulation. For inspiration, explore example strategies that are available in the strategy repository. Begin by downloading the historical data for the exchange along with the specific markets you're interested in trading. Once you have the data, rigorously test your strategy against it. Employ hyperoptimization techniques, leveraging machine learning approaches, to identify the optimal parameters for your strategy, focusing on aspects such as entry points, exit strategies, ROI targets, stop-loss limits, and trailing stop-loss configurations. The objective is to maximize the historical trade expectancy across different markets by adjusting stop-loss parameters, subsequently determining which markets to trade in. The trade size should reflect a calculated percentage of your overall capital at risk. To gain further insights, conduct additional analyses using either the backtesting results or the trading history stored in a SQL database from Freqtrade, which can include automated plotting functions and ways to visualize the data within interactive environments. Ultimately, a comprehensive understanding of your strategy's performance is essential for informed decision-making in trading.
API Access
Has API
API Access
Has API
Integrations
Binance
Bitfinex
Champify
Cobalt
Gate.io
Kraken
MSIGHTS
Mesh Systems
ParkView Hardware Monitoring
Poloniex
Integrations
Binance
Bitfinex
Champify
Cobalt
Gate.io
Kraken
MSIGHTS
Mesh Systems
ParkView Hardware Monitoring
Poloniex
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Catalyst
Website
www.enigma.co/catalyst/index.html
Vendor Details
Company Name
Freqtrade
Website
www.freqtrade.io/en/stable/