Quick Start
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1. Introduction
Welcome to the N2NQuant AI Quantitative Investment Platform. This article will provide a brief introduction to help you quickly understand N2nQuant and the value that AI can bring to investors. We hope it can help you establish a preliminary understanding of the N2NQuant AI Quantitative Platform.
Firstly, we need to popularize two concepts: artificial intelligence and quantitative investment. What exactly are artificial intelligence and quantitative investment? You can quickly browse the following two articles to gain a preliminary understanding of these two concepts.
Simply put, N2NQuant hopes to help every investor have the ability to apply artificial intelligence technology for investment and trading, enabling machines to replace human brains for data mining and analysis, identifying potential patterns that affect stock price changes in massive financial data, and making rational and scientific investments. So, what value can artificial intelligence bring to investment, and how does N2NQuant help everyone achieve this value on the platform?
1.1 How artificial intelligence brings value to investments？
For an excellent investor, the key to obtaining positive returns lies in their rich investment experience accumulated over the years. By reusing this experience, they can make effective decisions for new future situations, and these "experiences" can be understood as "data" for machines;
Human energy is limited, and in this era of big data, machines can access much more stored data than humans. This means that machines have much richer "experience" than humans. The experience that ordinary investors need five or even ten years to accumulate only takes a few minutes for machines. In a short period of time, machines can use relevant algorithms to find potential patterns from historical massive data, generate predictive models, and guide investors in investment;
On the other hand, emotions are a major enemy of investment, and machines can largely eliminate emotional interference and objectively and rationally analyze data.
Past experience tells us that in the era of big data, artificial intelligence can do better than humans. It can help ordinary investors catch up with experienced investors in a short period of time
1.2 How N2NQuant achieves this value？
N2NQuant is a one-stop AI platform and community for quantitative strategy development, providing a visual AI development IDE (AIStudio) that allows investors to use quantitative and AI more easily and quickly.
N2nQuant is committed to empowering every quantitative investor with the capabilities of artificial intelligence. The platform has massive data from multiple markets including the US stock market, Hong Kong stock market, Singapore, Vietnam, Malaysia, and fully supports mainstream AI frameworks.
The platform provides three modes for strategy development: code mode, generator mode, and visualization mode, allowing users of different professional levels to develop strategies on the platform.
Visual strategy development is a mature development model in the industry, adopted by companies such as Microsoft and Google. Users only need to drag and drop modules without programming to develop AI driven quantitative investment strategies, allowing financial engineers, ordinary traders, and even business personnel to use AI technology without barriers to improve investment efficiency and effectiveness, without the need to learn a lot of difficult programming and algorithm knowledge.
2. What can I do on N2NQuant?
The diversity of N2NQuant products can meet the different needs of investors:
- If you are seeking high-quality strategies: You can go to the "Strategy Community" to subscribe to the existing excellent AI strategies of the cloning platform, and assist yourself in investing and trading based on the daily trading signals pushed by the strategies.
- If you are a strategy developer: You can use the N2NQuant platform's massive financial data and artificial intelligence technology to develop AI quantitative strategies and traditional quantitative strategies for free, and conduct backtesting or simulated real time testing. While guiding your own investment and trading, you can also monetize through strategies such as open subscriptions, sharing in strategy communities, etc;
N2NQuant platform provides path navigation for different users:
3. What are the functional modules of N2NQuant?
Expand the description according to the functional sections of the navigation bar at the top of the homepage:
3.1 Strategy Community
Strategy Community is a quantitative strategy communication community launched by N2NQuant, providing platform users with an interactive platform for free sharing, communication, and learning. Here, users can obtain high-quality strategy models shared by others. Users can also share their strategies in "My Transactions".
If you are a beginner, it is recommended to learn multiple cloning template strategies, which can help accelerate your understanding of AI strategies and familiarize you with platform operations.
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3.2 My Trades
After creating the strategy and submitting it to the simulated real market, I can view the operation status of the strategy, manage the strategy, set up an email to receive warehouse adjustment notifications, etc. in my trading module. Further understanding of strategy returns, risk indicators, strategy logs, viewing daily trading signals, historical position details, and historical trading details.
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3.3 Data Platform
The N2NQuant data platform is a high-performance distributed data platform designed to provide users with rich financial data and quantitative research support. Users can fully utilize the data and computing power provided by the platform to conduct in-depth quantitative research and investment strategy development.
The data platform, also known as DAI (Data for AI), supports users to read and calculate various types of data. Users can access multiple data types through a unified interface and have the following characteristics:
- Easy to use: Access various data of N2NQuant through a unified interface
- Rich data: Provides PB level financial data, alternative investment data, and factor data (data dictionary), and supports user-defined data
- Advanced technology: adopting modern distributed architecture, supporting low latency read and write of large-scale data and high-performance computing
At present, the platform has provided comprehensive data on the Hong Kong and US stock markets, and different categories of data lists can be viewed through the directory menu. If you find it difficult to search for too many quantity tables, don't worry. You can try the AI exploration function, submit your requirements to the AI big language model, and let AI help you query and analyze the data.
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3.4 Factor
The factor analysis function is an important tool provided by the N2NQuant platform, aimed at assisting quantitative researchers in factor analysis and strategy development, and enhancing the effectiveness and reliability of investment strategies.
The following are the main characteristics and uses of factor research functions:
- Factor selection: Users can choose factors suitable for their research from pre calculated stock factors. These factors include shareholder factors, technical analysis factors, basic information factors, financial factors, valuation factors, etc. Users can choose the corresponding factors for analysis according to their own needs.
- Data access: The factor research function allows users to directly use the pre calculated factor data in the module "Basic Feature Extraction", simplifying the process of data acquisition. Users can easily access various factor data, such as shareholder accounts, net profit, current liabilities, etc.
- Strategy development: Combining factor analysis, users can develop multi factor stock selection strategies, which is a widely used technical analysis tool aimed at identifying market trend changes and generating trading signals.
- Factor/Strategy Release: The factor research function also supports submitting data as factor or strategy tasks and participating in daily simulated clearing statistics. Users can share their research findings through the factor research community, promoting communication and collaboration.
- Backtesting and validation: Users can use backtesting engines to validate the developed factors and strategies, evaluate their performance on historical data, and optimize investment decisions.
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3.5 Academy
Kuanke Academy is a learning platform provided by N2NQuant, aimed at helping users systematically learn and develop AI quantitative strategies.
Its main functions include:
- Complete learning system: Kuanke Academy offers a range of complete courses, from beginner to advanced, suitable for learners at different levels.
- Video tutorial: With the corresponding video tutorial, users can quickly get started and understand the relevant knowledge of quantitative investment through a combination of audio-visual methods.
- Rich learning resources: In addition to video tutorials, Kuanke Academy also provides various learning materials and documents for users to easily access and learn at any time.
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3.6 AIStudio
AIStudio is an AI based Cloud IDE on the N2NQuant platform, which can be used for quantitative investment data analysis, factor mining, model training, backtesting and trading, as well as broader program development and AI model development training. Users can implement their strategy logic through a simple visual interface or by writing code.
- Visual programming development: No need to learn complex programming, supports low code/zero code development strategies, making strategy development simpler and more efficient.
- Code programming development: Mainly requires Python and Pandas programming. It is recommended to learn SQL, which can greatly improve data processing and analysis skills.
The strategy writing function includes strategy creation, strategy writing, modular design, backtesting, and submitting simulated trades. Through these functions, users can flexibly and efficiently develop and optimize their own quantitative strategies, improving the quality of investment decisions.
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3.7 Knowledge
The knowledge base is a current document editing and sharing platform, with functions including platform usage guide, platform strategy introduction, AI quantitative knowledge base, platform notifications, community interaction, and feedback. Intended to provide users with comprehensive support and resources to help them succeed in the process of quantitative trading and data analysis.
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3.8 User Center
In the user center, you can view your account's Q coin balance, cash income, and coupon information, recharge your account, learn about member benefits, and purchase VIP membership;
The account setting function can modify nicknames, login passwords, bind phone and email numbers;
The access credential function is used when conducting live trading. The live trading terminal obtains the details of your strategic trading plan on the N2NQuant platform through this authorized key, and then you can conduct live stock trading through the buy and sell signals obtained from the live trading terminal. The platform is about to connect with AFE for real-time trading terminals, please stay tuned.
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4. How to quickly acquire a strategy?
Method 1 (Recommended): Clone from the Strategy Community
Difficulty index: 0 ⭐
This method does not require users to have any programming background, they only need to follow the interface instructions to have their own quantitative strategy, and complete the closed-loop process from strategy → signal → trading by paying attention to the trading signals generated on each trading day.
The strategy development team of N2NQuant will continue to provide high-quality AI quantitative strategies for users to use in the strategy community. Please stay tuned.
Excellent strategy developers can also share their high-quality strategies with the strategy community to obtain user cloning and platform sharing revenue.
1. Select target strategy
Log in to the N2NQuant platform, enter the strategy community page, select your preferred target strategy, and click to view it.
2. Click Clone and Run
Understand the profitability of the strategy and evaluate its ability to generate returns. If you feel that the strategy meets your personal expectations, you can click the "Clone and Run" button to clone a copy of the strategy code into your own account, select a suitable server to deploy the strategy, and wait for the simulation trading results to be generated.
Each strategy needs to occupy one server resource for deployment. If the free server quota has been used up, VIP can be opened to obtain more server resources and VIP benefits.
3. View the running results
During the waiting process, you can enter the "My Transactions" page to check the running status. After waiting for a successful run, click on the "My Transactions" list to view the strategy details, including the start time of the previous trading day, today's trading plan, and other information.
Keep the strategy unchanged, wait for the strategy signal to be generated before the second trading day, and use "update notification" to bind an email to send reminder emails.
Signal generation time:
- HK: around 18:00 (UTC+8, Beijing time)
- US: around 10:30 (UTC+8, Beijing time)
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Method 2: AI helps you write strategies
Difficulty index: ⭐
On the homepage, through the QuantChat feature, AI can help you generate strategy code.
QuantChat is a next-generation financial investment interactive experience tool developed by N2NQuant based on QuantLLM. It relies on the large-scale capabilities of the N2NQuant platform and is embedded in the AI core Cloud IDE - AIStudio. It is mainly used in the field of quantitative investment.
QuantChat can interact with users in natural language and has a wide range of applications in multiple fields. It can be used to answer common questions, provide technical support, solve user questions, and even engage in intelligent conversations and provide entertainment, but its function is different from other conversational interactive applications in providing information, advice, and assistance related to quantitative investment. QuantChat, based on powerful machine learning algorithms and big data analysis capabilities, can assist users in developing, backtesting, optimizing, and executing quantitative strategies.
- Choose the market, input natural language to let AI write strategies
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- Go to backtesting and enter AIStudio to view the strategy code
After entering AIStudio, the operation process of strategy backtesting and running is the same. The operation can refer to the article: backtesting and running
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Method 3: Multi factor one click generation strategy
Difficulty index: ⭐
In the "Factor" module, we can also generate strategy codes with just one click by selecting our preferred quantitative factors.
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Choose the preferred quantitative factor
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Select the generation method and go to AIStudio
After entering AIStudio, the operation process of strategy backtesting and running is the same. The operation can refer to the article: backtesting and running
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Method 4: Modify existing strategy
Difficulty index: ⭐⭐
In 'My Trading', you can choose a strategy cloned from the community, and with simple modifications, you can obtain a new quantitative strategy
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Go to 'My Transactions' and select' Copy and Edit ' target strategy
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Automatically go to AIStudio
After entering AIStudio, the operation process of strategy backtesting and running is the same. The operation can refer to the article: backtesting and running
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Method 5: Create your own code strategy
Difficulty index: ⭐⭐⭐⭐⭐
This method requires coding and development using AIStudio, which is somewhat difficult and requires a certain level of development foundation. Quantitative developers with development experience are welcome to use this method.
- Launch AIStudio
Click on the homepage - top navigation bar - "AIStudio" to start AIStudio, or click here to start AIStudio.
The initial startup may take some time, please be patient
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- Set computing resource specifications (optional)
Click on the resource specification in the bottom left corner, and the computing power resource specification options panel will pop up at the top of the page.
Click on the desired specification to switch (8 specifications are available, with the last three being GPU resources), and a secondary confirmation tab will pop up in the lower right corner.
After secondary confirmation, you can switch to the corresponding computing resource specification. ==(After the specification switch, billing begins. It is recommended to change the computing power specification level during task execution to avoid waste.)==
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- New Strategy
Click the "+" icon in the left sidebar to start creating a new strategy. (The icon shown in the right image cannot be found in the sidebar. You can download the "New Strategy" plugin from the plugin application market.)
Select 'Visualization Strategy'. Rename and press Enter to confirm the new creation, which takes a few seconds.
After successful creation, the strategy will automatically open.
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Edit Strategy
If you need to edit strategies, please refer to the teaching videos and documents or advanced use cases within N2NQuant Kuanke Academy, which will not be repeated here.
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Running Strategy
The operation process for strategy backtesting and running is the same, and the operation can refer to the article: backtesting and running
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