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Description
CryptoTradingBot was designed to assist you in keeping pace with the dynamic market landscape. Operating completely autonomously, it employs advanced machine learning and artificial intelligence algorithms to monitor your portfolio, continuously scanning for significant technical changes and executing trades even as you rest. Utilizing strategies such as grid trading, sell-wall forecasting, and multiple time frame analysis, the bot anticipates price movements and automatically places trades on your behalf. Its incredible speed allows it to enter and exit positions within milliseconds, aiming for a minimum profit of 3% on each transaction. These incremental gains are continually reinvested, leveraging the power of compound interest to potentially yield up to 100% profit daily. While initiating trades is straightforward, determining the optimal exit point can be challenging; however, it is during these exits that substantial profits are realized. Maintaining an emotionless perspective on market fluctuations, the bot can forecast both surges and crashes, taking proactive measures before even the quickest human trader can react. In essence, it serves as a tireless ally, navigating the complexities of trading to maximize your financial potential.
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
Gate.io
Kraken
Telegram
Pricing Details
Free
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
CryptoTradingBot
Founded
2019
Country
Sychelles
Website
cryptotradingbot.online
Vendor Details
Company Name
Freqtrade
Website
www.freqtrade.io/en/stable/