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
Automated trading software designed for over 600 cryptocurrency markets is available for those looking to capitalize on the unique nature of the crypto landscape. Unlike traditional stock or forex markets, cryptocurrency trading operates around the clock, seven days a week, making continuous market observation essential for success. With WolfBot, you are equipped to seize opportunities, whether it's buying during a sudden price drop or selling when the market shifts unexpectedly. The software operates entirely in the cloud, eliminating the need for any installation, configuration, maintenance, or updates on your personal device. You have the ability to refine and test your trading strategies using historical data, allowing for extensive simulations across various market conditions and timeframes before risking actual funds. Additionally, WolfBot automatically maintains a comprehensive Trade Book of all executed trades, which can be filtered by date, currency, and strategy to help you evaluate your trading performance and profitability effectively. This functionality ensures that you remain informed and agile in your trading approach, enhancing your overall trading experience.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Binance
Yes
Kraken
Yes
Bitstamp
No
BitMEX
No
Bitfinex
No
Bitkub
No
Bybit
No
CEX.IO
No
Coinbase
No
Gate.io
Yes
Integrations
Binance
Yes
Kraken
Yes
Bitstamp
Yes
BitMEX
Yes
Bitfinex
Yes
Bitkub
Yes
Bybit
Yes
CEX.IO
Yes
Coinbase
Yes
Gate.io
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$90 per month
Free Trial
No
Free Version
No
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
Yes
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
WolfBot
Founded
2018
Website
wolfbot.org