FAQ

由bqadm创建，最终由bqadm更新于2025-08-11 06:00 被浏览 4 用户

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1. Platform foundation

• Q：What kind of platform is N2NQuant?

• A ：N2NQuant is an artificial intelligence quantitative investment platform that provides a one-stop AI platform and community for quantitative strategy development. It has a visual AI development IDE (AIStudio) that covers data from the US and Hong Kong stocks. In the future, it will be integrated with massive data from multiple markets such as Singapore, Vietnam, and Malaysia, fully supporting mainstream AI frameworks to assist investors in applying artificial intelligence technology for investment and trading. Understand the document and quickly start quantifying transactions.

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• Q：What types of investors are suitable for the N2NQuant platform?

• A ：N2NQuant is suitable for various types of investors. For ordinary investors, it provides a strategy community where excellent strategies can be directly cloned to assist in investment; For strategy developers with certain experience, they can utilize the platform's massive data and AI technology to develop, test, and optimize strategies, and realize strategy monetization; At the same time, its visual development mode also allows financial engineers, ordinary traders, and even business personnel to use AI technology at a low threshold to improve investment efficiency. Understand the document and quickly start quantifying transactions.

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• Q：Is there a big difference between the quantitative strategy of the platform and our usual use of "stock filters"?

• A：Yes, stock filters mainly use preset conditions (such as price to earnings ratio, price to book ratio, etc.) to screen stocks, and their functions are relatively basic. The N2NQuant quantification platform goes further by enabling multidimensional analysis and in-depth mining, supporting you in developing and executing AI based quantification strategies.

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• Q：I have never been exposed to quantitative investment before. Can this platform help me get started?

• A：Sure, the platform provides a detailed quick start manual, and there is a "Strategy Community" where excellent strategy learning can be cloned. Additionally, the "Kuanke Academy" offers a complete course from beginner to advanced, so even beginners can quickly get started.

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• Q：I have a programming foundation, but I am not very familiar with the securities market. Is this platform suitable for me?

• A：Suitable. The platform provides rich data and tools to help you quickly understand the securities market. You can start with simple strategies and gradually learn and accumulate experience.

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2. Strategic Community

• Q：What are the types of quantitative investment strategies?

• A ：There are various types of quantitative investment strategies, such as trend tracking, mean regression, arbitrage strategy, event driven, etc.

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• Q：How to quickly find a high-quality strategy that suits me?

• A：You can browse and filter strategies in the "Strategy Community" to view their performance, risk indicators, and other information. Choose strategies that match your investment goals and risk preferences for cloning and running.

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• Q：I see many strategies in the 'Strategy Community', how do I know which one is suitable for me?

• A ：We can consider the following aspects: firstly, the historical performance of the strategy's returns, but this cannot fully represent future returns; The second is the risk indicator of the strategy, such as maximum drawdown, to see if you can withstand this risk; Thirdly, whether the investment target and market of the strategy align with your investment preferences; The fourth is to look at the evaluation and number of users of the strategy. Strategies with high popularity and good evaluation are relatively more reliable.

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• Q：What should be noted when cloning strategies from the strategy community?

• A ：Before cloning, it is necessary to first understand the basic information of the strategy's returns, risk characteristics, etc., and evaluate whether it is in line with one's investment goals and risk tolerance; At the same time, pay attention to the applicable market and data requirements of the strategy to avoid abnormal operation of the strategy due to mismatched environments; In addition, attention should be paid to the update and maintenance of strategies to ensure the timeliness and effectiveness of the strategies used.

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• Q：Do all strategies on the platform have sustained and stable returns?

• A ：There is uncertainty in the investment market, and different strategies perform differently in different market conditions. The strategies provided by the platform are for reference only. Users need to carefully choose and evaluate strategies based on their own risk tolerance, investment goals, and other factors.

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• Q：Does the platform provide explanations and analysis of strategies to help me understand the logic behind them?

• A ：There are several ways: firstly, carefully read the description document of the strategy, where developers usually introduce the basic principles and ideas of the strategy; The second is to post and inquire in the strategy community, where there are many professional investors and strategy developers who may be able to help you answer questions; The third is to contact the platform support team, who may provide official strategy interpretation services for paying users.

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• Q：After submitting one strategy, I found that it was not suitable for me. Can I delete it and add a new one?

• A：Of course you can. You can find the submitted strategies on the 'My Trades' page, select to delete unsuitable strategies, and add new strategies. After the policy is deleted, your resource quota will be immediately released. However, please note that the historical data of the policy cannot be recovered after the policy is deleted. Please operate with caution.

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3. Strategy development

• Q: What strategy development methods does the N2NQuant platform support?

• A：The N2NQuant platform supports three development strategies: code mode, generator mode, and visualization mode, catering to users of different professional levels.

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• Q：What programming languages does the platform support for strategy development? What mainstream AI frameworks and programming languages does the platform support?

• A ：Mainly supports Python language for strategy development, Python is widely used in quantitative investment and artificial intelligence fields, and related libraries and tools are also abundant. Meanwhile, for the data processing part, SQL language is also supported. In addition, the platform supports multiple mainstream AI frameworks, such as TensorFlow and PyTorch in the field of deep learning, which can help you build and train complex AI models for predicting market trends, mining investment signals, and more. You can choose the appropriate framework based on your project requirements and familiarity.

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• Q：How can I use my programming skills to quickly get started with quantitative strategy development?

• A：You can start with the "Factor Research" module, select factors of interest for research, and then write strategy code in AIStudio. The platform also provides detailed documentation and tutorials to help you get started quickly.

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• Q：How to accurately express your needs when using AI to write strategies for you?

• A ：When expressing needs, it is important to clearly and explicitly state investment objectives, such as whether to pursue stable returns or high-risk high returns; Explain the market and target range of concern, such as specific stock sectors, industries, etc; Describe the specific requirements for the strategy, such as trading frequency, risk control preferences, and other details, in order for AI to generate more accurate strategy codes that meet expectations.

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• Q：How to modify and optimize existing strategies?

• A ：Based on historical performance data of the strategy, analyze its strengths and weaknesses in different market conditions, and make adjustments for shortcomings; You can also refer to excellent strategy cases, professional materials, etc. provided by the platform to learn from their strategic ideas and optimization methods; At the same time, using the platform's data analysis tools, sensitivity analysis is conducted on the parameters, factors, etc. involved in the strategy to determine reasonable adjustment directions and amplitudes.

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• Q：What is the data storage and processing capability of the platform? Can it handle large-scale data operations?

• A ：N2NQuant is built on a high-performance distributed architecture with strong data storage and processing capabilities. It can store massive amounts of financial data, including full data from multiple markets such as Hong Kong stocks and the US stock market; Moreover, it can ensure low latency and high-performance computing when handling large-scale data operations, without problems such as lag or slow data loading, meeting your complex quantitative research and strategy development needs.

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• Q：How can I evaluate the effectiveness of the strategies I have developed on the platform?

• A ：There are mainly two ways: one is to use the platform's backtesting function to simulate the operation of the strategy with historical data, and see the performance of the strategy in the past market environment, including indicators such as returns and risks; The second is to apply the strategy to simulated real markets and observe its performance under real-time market data, but it should be noted that there are still some differences between simulated real markets and real markets.

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• Q：Is there any tool or feature on the platform that can help me optimize my strategy?

• A ：Yes, there is. The "Alpha" function can help you analyze the impact of different factors on strategies, thereby adjusting factor combinations and weights to optimize strategies; AIStudio also provides rich data analysis tools and visual charts, making it easy for you to observe problems and potential improvement points in the operation of strategies; In addition, you can also refer to the ideas and architecture of other excellent strategies in the "Strategy Community" and draw on their highlights for optimization.

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• Q：What issues should I pay attention to when developing quantitative strategies, given my programming background?

• A ：Firstly, it is necessary to fully consider the unique laws and uncertainties of the securities market, and not blindly follow programming logic. Secondly, in the strategy, attention should be paid to risk control, and reasonable conditions such as stop loss and take profit should be set to avoid excessive losses caused by market fluctuations. Furthermore, it is necessary to strictly control the quality and applicability of data, as even the best strategy cannot do without accurate and reliable data support.

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• Q：Can you give me some simple and feasible quantitative strategy development ideas?

• A ：You can do it. For example, you can start with a simple moving average strategy, which sends a buy signal when the short-term moving average crosses the long-term moving average upwards, and a sell signal when it crosses the long-term moving average downwards; Or try the mean regression strategy to find stocks with prices that deviate significantly from the long-term mean, expecting them to return to the mean and trade accordingly. The principles of these strategies are relatively simple and suitable for beginners to practice and improve.

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• Q：Can I make quantitative investments on the N2NQuant platform without programming skills?

• A：Of course you can. The platform provides a visual AI development IDE (AIStudio), AI generation strategy method, and one click generation method. Strategies can be developed through simple operations without the need for programming foundation.

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• Q：Can complex quantitative strategies be developed using visual development mode?

• A ：Although the visual development mode lowers the threshold, it will be limited in the development of complex strategies. However, many commonly used quantitative strategies on the platform can be implemented through a combination of visualization modules. If you have more complex investment ideas, you can first post articles in the knowledge base to seek help or directly provide feedback to the platform support team. The platform will regularly organize personnel to communicate and implement one-on-one strategic ideas for customers every month.

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• Q：What should I do if I encounter complex logical settings during visual development?

• A ：There are several ways: firstly, review the detailed documentation of each visualization module to understand its functions and usage scenarios; The second is to search in the community for other users who have encountered similar problems, maybe they can find answers; The third is to directly contact the platform support team, describe your problem to them, and seek professional guidance.

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• Q：What should I do if I am not satisfied with a certain strategy and want to make some personalized adjustments?

• A ：If you are running a strategy through visualization mode, you can try adjusting the parameter settings of the strategy in the visualization interface, such as fund ratio, trading signal threshold, etc; If deeper logical modifications are involved, it may be necessary to rely on the platform's code patterns or seek help from users with programming experience. However, before making adjustments, it is best to have a thorough understanding and testing of the strategy to avoid blind modifications that may lead to strategy failure or increased risk.

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• Q：Is it always possible to freely modify the first free strategy?

• A：Yes, you are always free to modify the first free policy. You can adjust parameters, add or remove indicators, etc. according to your own needs to optimize strategy performance.

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• Q：Does the platform support real-time backtesting and optimization of policies?

• A：Yes, the platform provides a powerful backtesting engine that can perform real-time backtesting and optimization of policies, helping users evaluate the effectiveness and room for improvement of policies.

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4. Data and Factors

• Q：Can you introduce the data advantages of the platform?

• A：The platform has a massive amount of multi market financial data, including US and Hong Kong stocks, and will soon be integrated into markets such as Singapore, Vietnam, and Malaysia. The data types are rich, covering fundamental data, technical indicators, alternative data, etc., and the data updates are timely, which can meet the needs of different strategy development.

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• Q：Is the data source of the platform reliable? What is the frequency of data updates?

• A ：As a professional quantitative investment platform, N2NQuant provides rich financial data such as comprehensive data on the Hong Kong and US stock markets. The data sources are reliable and professionally processed. At present, the platform provides daily market data and updates the daily market data after market hours.

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• Q：What is the significance of factor research for quantitative investment? What common factors does the platform provide?

• A ：Factor research can help quantitative researchers uncover key factors that affect asset prices, thereby constructing more scientific and effective investment strategies. The commonly used factors provided by the platform include technical analysis factors, basic information factors, financial factors, valuation factors, and other categories.

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• Q：Can I customize the data provided by the platform? For example, only filtering data from specific time periods and industries?

• A ：You can do it! In the "Data Platform" module, you can accurately extract the data you need by setting various filtering criteria such as time range, industry category, stock characteristics, etc. Moreover, the platform also supports custom calculation and conversion of data, meeting your data needs in specific research scenarios.

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• Q：Can I import external data into the platform for analysis and development strategy?

• A ：The N2NQuant platform supports a certain degree of external data import. For detailed steps, please refer to the manual data upload tutorial.

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5. Firm Bargain

• Q：Can the N2NQuant platform directly conduct live trading? How to operate?

• A ：The current user can access the strategy details of the trading list to obtain daily trading plans, and then transfer to their own real-time trading terminal for trading. At present, the platform is integrating with AFE's trading system, and in the future, it can support fully automated real-time trading. Please stay tuned🙂🙂

  If activated, users only need to obtain the access credential Key in the user center and configure the key to the real-time trading terminal for obtaining the trading plan of the strategy. They can then trade stocks based on buying and selling signals on the real-time trading terminal.

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• Q：What trading platforms can use your code? How to use your code for automated trading?

• A：The strategy code only supports deployment and execution on the N2NQuant platform. The trading signals generated by the strategy can be directly viewed or downloaded for your actual trading, or received through authorized means from AFE's trading terminal for actual trading.

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6. Account and Fees

• Q：How to register and log in to the N2NQuant?

• A ：The platform supports registration and login using mobile phone numbers and email addresses. After successful registration, the system will assign a username, and a password can also be set to log in using the username and password。

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• Q：Is the platform free to use? What is the specific charging model? What is the difference between free users and VIP members？

• **A：**N2NQuant adopts a model of free basic functions, paid premium functions, and more resources. Ensure that free users can experience the entire process of generating and deploying policies, but if they want to obtain more server resources and benefits, they need to upgrade their account benefits in the VIP subscription module. Please refer to the subscription form for details.

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• Q：Are development and deployment strategies both free?

• A：N2NQuant provides users with free access to data for policy development and backtesting, offering limited free resources for deploying policies to each user. If you lean towards obtaining more resources, you can upgrade to a VIP user to gain more rights and privileges.

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• Q：Is this platform safe? Will my funds be at risk?

• A：The platform itself does not directly involve fund trading, but mainly provides strategy development and simulation of real trading functions. Real trading needs to be conducted through a trading terminal that is connected to the platform (such as the upcoming AFE), and the security of funds depends on the security measures of the trading terminal.

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7. Help and Learning

• Q：How to obtain platform support when encountering problems? How to contact platform customer service?

• A ：You can find answers to common questions in the "Knowledge Base" of the platform, submit questions through the "Feedback" document set in the knowledge base, or submit emails to n2nquant@afe.hk The platform support team will handle and provide feedback accordingly.

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• Q：Are there any recommended learning resources that can help me improve my knowledge of the securities market?

• A：The platform's "Kuanke Academy" has relevant courses and video tutorials, where you can systematically learn about the securities market. At the same time, there are also many articles on quantitative investment and securities markets in the "knowledge base" for your reference.

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• Q：What are the learning resources at Kuanke Academy? Is it suitable for beginners?

• A ：Kuanke Academy offers a complete series of courses from beginner to advanced, accompanied by video tutorials and rich learning materials and documents. The learning system is perfect for beginners to gradually learn quantitative investment knowledge, which can help them quickly get started and gain a deeper understanding of the relevant field.

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• Q：Do courses at Kuanke Academy require additional fees? How to learn the content?

• A ：The learning resources on the platform are currently all free, and the free courses are mainly for beginners to help you establish preliminary concepts; In the later stage, there may be some advanced paid courses that delve deeper into the profession and can systematically enhance your investment skills. You can start with free courses.

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• Q：Are there any recommended learning paths besides the learning resources on the platform？

• A ：You can read books on financial investment, such as classic works like "The Smart Investor" and "Securities Analysis"; Pay attention to some financial news websites and official account to keep abreast of market trends; You can also participate in online investment forums and communities to exchange experiences with other investors.

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8.Other

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