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
Quantreex empowers users to backtest, optimize, and trade across multiple instruments at once, utilizing a range of technical indicators. The intuitive strategy designer simplifies the creation of trading strategies, making it accessible for all users. Strategies generated by our engine are not only swift but also highly precise. With the backtest engine, you can evaluate your strategies in just a few seconds, covering various instruments and markets extensively. The optimization engine enhances the effectiveness of your strategies by employing diverse algorithms to refine your parameters. Additionally, the live trade execution engine automatically carries out and monitors your trading strategies across multiple brokers. Leveraging advanced machine learning algorithms, Quantreex streamlines the strategy discovery process. Strategies can be executed using either single or multiple portfolios, effectively simulating real market conditions. Whether you are a professional trader or someone seeking an advantage in the competitive financial landscape, Quantreex offers the tools and insights you need to succeed. This platform stands out for its user-friendly interface and comprehensive capabilities, making it a valuable resource for traders of all levels.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Binance
No
Gate.io
No
Kraken
No
Telegram
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$75 per month
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
Yes
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
Algoright Systems
Country
Switzerland
Website
www.quantreex.com
Product Features
Product Features
Currency Exchange
Analytical Reporting
No
Client Management
No
Custom Account Statements
No
Data Backup Scheduling
No
For Money Exchanges
No
Margin Management
No
Market Data Access
No
Position Management
No
Real Time Currency Quotes
No
Real Time Tracking
Yes
Transaction Management
Yes