Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Zenbot is a cryptocurrency trading bot that operates through the command line and is built using Node.js and MongoDB. Its capabilities include a fully automated trading approach based on technical analysis and comprehensive support for multiple exchanges such as Binance, Bitfinex, Bitstamp, Bittrex, CEX.IO, GDAX, Gemini, HitBTC, Kraken, Poloniex, QuadrigaCX, and TheRockTrading, with ongoing developments for additional exchange compatibility. The bot features a plugin architecture that allows users to add support for more exchanges or develop new trading strategies. Additionally, it offers a simulator that enables backtesting of strategies using historical data, as well as a "paper" trading mode that simulates trading with a virtual balance while monitoring real-time market conditions. Users can configure sell stops, buy stops, and trailing profit stops, and it provides a flexible sampling period and trade frequency, averaging between 1-2 trades per day with a one-hour period and 15-50 trades daily with a five-minute period. By combining these features, Zenbot empowers traders to optimize their trading strategies effectively and adapt to market changes seamlessly.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Binance
Yes
Kraken
Yes
Bitstamp
No
Bitfinex
No
Gate.io
Yes
Gemini
No
HitBTC
No
Poloniex
No
Telegram
Yes
Integrations
Binance
Yes
Kraken
Yes
Bitstamp
Yes
Bitfinex
Yes
Gate.io
No
Gemini
Yes
HitBTC
Yes
Poloniex
Yes
Telegram
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Freqtrade
Website
www.freqtrade.io/en/stable/
Vendor Details
Company Name
Zenbot Trade
Founded
2015
Country
Russia
Website
github.com/DeviaVir/zenbot