The digital currency market is highly volatile and trades around the clock, making it difficult for investors to capture all trading opportunities. Quantitative trading platforms automate the execution of trades and are becoming an increasingly popular tool. This article introduces the top ten digital currency quantitative trading platforms, including FMZ Quantitative, BotVS and 3Commas, and discusses their advantages and disadvantages to help investors choose the appropriate platform.
Top 10 digital currency quantitative trading platforms: powerful tools for automated trading (ranked in no particular order, for reference only)
The digital currency market fluctuates violently, with 24/7 non-stop trading. It is difficult to capture all opportunities with manual trading. Quantitative trading uses computer programs to execute preset trading strategies and conduct transactions automatically, becoming the choice of more and more traders. This article will introduce the top ten digital currency quantitative trading platforms and discuss their advantages and disadvantages, hoping to help you find a suitable automated trading tool.
Important reminder: Quantitative trading is not a guaranteed profit, and you still need to operate with caution and control risks. This article does not constitute any investment advice.
Platform selection considerations:
When choosing a quantitative trading platform, you need to consider the following factors:
Security: Platform security measures and history.
Supported exchanges: Whether the platform supports your commonly used exchange APIs.
Policy writing language: Whether the strategy writing language supported by the platform is easy to learn and use.
Backtest function: Whether the platform’s backtest function is powerful and whether it can accurately simulate historical market conditions.
Simulated trading function: Whether the platform provides a simulated trading function, where you can test strategies without investing real funds.
Fees: Fees for using the platform, such as monthly fees, handling fees, etc.
Community support: Does the platform have an active community that facilitates communication and learning?
Top ten digital currency quantitative trading platforms (ranked in no particular order, for reference only):
FMZ Quantitative (Inventor Quantification): Powerful, supports multiple exchanges and programming languages, and has an active community.
BotVS: Supports a variety of exchanges and provides a visual strategy editor, suitable for novices.
TradeOgre: The interface is simple and easy to use, suitable for novices, but the functions are relatively simple.
Gunbot: Highly customizable and suitable for experienced traders, but requires local deployment.
Hummingbot: Open source and free, supports a variety of trading strategies, but requires local deployment.
3Commas: Provides a variety of trading robots and tools, but some features require payment.
Cryptohopper: A cloud-based platform that is easy to use but has relatively simple functions.
Shrimpy: Mainly used for portfolio management and automated rebalancing.
HaasOnline: A powerful local deployment platform suitable for professional traders.
Gekko: An open source and free trading robot platform, but it requires a certain technical foundation.
Cloud platform vs local deployment:
Cloud platform: No need to download and install software, easy to use, but slightly less secure Deployed locally.
Local deployment: more powerful and more secure, but requires a certain technical foundation for configuration and maintenance.
Selection suggestions:
Newbies: It is recommended to choose a cloud platform, such as FMZ Quantification, BotVS or TradeOgre, which is easy to get started. .
Traders with programming experience: You can consider a local deployment platform, such as Gunbot, Hummingbot or HaasOnline, to customize strategies according to your needs.
Once again, quantitative trading is not a guaranteed profit and there are still risks. Before you start trading, be sure to fully understand the relevant knowledge and risks, and conduct sufficient testing and simulated trading. Hope this article can provide you with some reference.
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