AISHE: Your Autonomous Trading System - Technical FAQ for Interested Parties

In this comprehensive FAQ, you'll find precise technical information about the AISHE system (Artificial Intelligent System Highly Experienced), based on our intensive discussions and analysis of the official documentation. Unlike many simplified representations, this FAQ delves deep into the technical details to enable a correct understanding of how AISHE functions.

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Particularly noteworthy is that AISHE is not a traditional trading tool, but an autonomous system that runs on local hardware and calculates complex neural states. The limitation to 11 instruments is not an arbitrary software restriction, but a physical boundary defined by the computing capacity of the local computer.

This FAQ clarifies common misconceptions and provides technically precise answers for anyone seeking a solid understanding of AISHE - whether as a potential user, technical enthusiast, or critical observer. The information is especially valuable for individuals who wish to use the system professionally or are deciding whether AISHE meets their requirements.

Technical FAQ: AISHE System Architecture and Functionality

How does AISHE differ from conventional trading tools?
AISHE is not an assistance tool, but an autonomous system that acts independently. It analyzes markets through neural states rather than through classical chart patterns and makes decisions based on the Knowledge Balance 2.0 framework, without human intervention after configuration.

Why is AISHE limited to a maximum of 11 instruments?
This limitation results from the physical computing capacity of the local computer. The permanent monitoring and synchronization of neural states for each symbol requires significant computing resources, which current i5 systems allow for approximately 11 instruments.

How many instruments can an older i5 computer process?
Older generations of the i5 processor family can often process only about 5 symbols simultaneously. Users can selectively deactivate up to 6 symbols to optimize system performance.

What happens if I want to trade more than 11 instruments?
For more than 11 instruments, you need additional hardware. The solution follows the principle "1 computer = 1 AISHE". Premium customers can trade up to 50 symbols by deploying multiple computers.

How are neural states represented in AISHE?
Neural states are represented as an 18-digit number consisting of two 9-digit numbers (e.g., 123456789,123456789). Each symbol has its own 9-digit neural address in the AISHE system.

What does the 18-digit number represent when combining two symbols?
The first 9-digit number represents the neural address of the first symbol (e.g., Dollar), the second 9-digit number represents that of the second symbol (e.g., Euro). Together they form the combined neural state.

How do these neural states change?
These states change constantly - second by second based on time of day, market conditions, newly arriving data, and temporal patterns. A state recorded at 9 AM in the morning can reoccur at a similar time the next day.

Which three factors are centrally considered in state calculation?
The Human Factor (trader behavior), the Structure Factor (market infrastructure), and the Relationship Factor (influence on the symbol) are continuously captured and incorporated into decision-making.

Does AISHE use historical prices for its decision-making?
No, AISHE does not use historical prices. The calculations are based exclusively on current trading times and real-time data for forming the neural states.

How long can forecasts be in AISHE?
Forecasts can range from 15 minutes to weeks. The exact duration is determined during the training phase and forms the basis for later real-time processing.

Why is the training phase so critical for AISHE?
During the training phase, the calculation methods are established that will later be used under real conditions. Without sufficient training time, the system cannot function optimally.

How long does the standard test phase of AISHE last?
The standard test phase lasts 10 days. However, many users find this time too short for comprehensive training, especially under complex market conditions.

Can I extend the training phase if 10 days are insufficient?
Yes, interested parties can request a longer training period through the contact form, especially if they are learning the technology while unemployed.

What happens if problems occur during installation or customization?
Users should contact AISHE through the official support channels. When describing problems, hardware specifications and error messages should be specified precisely.

How does communication between the master system and local clients work?
The central master system continuously captures changing patterns and rules and distributes the updated neural models via cloud services to all clients, which then monitor them locally.

Who makes the final trading decisions in AISHE?
The local computer makes decisions based on parameters set by the user. The system operates autonomously but remains within the predefined parameters.

When are positions automatically closed?
Positions are automatically closed as soon as the take-profit targets defined by the user are reached. This is part of the integrated risk management system.

How does the premium version differ from the standard version?
While the standard version is limited to a maximum of 11 instruments, premium customers can trade up to 50 instruments simultaneously, which requires multiple computers.

Why is a separate machine per AISHE instance recommended?
Background processes like virus scans can burden the CPU and slow down real-time market monitoring. A separate machine ensures optimal performance.

What are the specific system requirements for AISHE?
Windows 10/11, Intel i5/i7 or AMD 2.8 GHz+, 8GB RAM, 1.5GB hard disk space, specific date and number formats (dd.MM.yyyy HH:mm, thousands separator: ".", decimal: ",").

How does neural state calculation work in AISHE?
AISHE calculates permanent neural states for each symbol, which consist of the three factors (Human, Structure, Relationship). These states are updated second by second and form the basis for trading decisions.

Can AISHE independently recognize new neural patterns?
Yes, through continuous learning, AISHE adapts to new market conditions while preserving and utilizing already learned neural states.

How does time of day influence AISHE's decision-making?
Time of day is a critical factor as certain neural states can recur at specific times of day. AISHE recognizes these temporal patterns and uses them for more precise forecasts.

How many different neural states can AISHE process simultaneously?
The number is extremely large as the 18-digit number changes continuously. The exact number depends on the complexity of market conditions.

What happens if the internet connection is interrupted during operation?
Trading stops until the connection is restored. For critical operations, it is recommended to use a reliable internet connection and possibly a backup connection.

How does AISHE learn from its experiences?
Through reinforcement learning, AISHE evaluates its decisions and adjusts its strategies to improve future results while simultaneously updating the neural states.

How are the three factors (Human, Structure, Relationship) weighted?
Weighting occurs dynamically based on current market conditions. During volatile phases, the Human Factor gains importance, while during stable phases, the Structure Factor dominates.

Can I manually adjust the weighting of the three factors?
Yes, these parameters are among the adjustable settings that users can configure according to their risk tolerance and market philosophy.

How often are the neural states updated?
Updates occur in real-time, typically second by second or even more frequently, depending on market volatility and system resources.

How can I determine if my computer is suitable for AISHE?
Before installation, perform a hardware check, especially regarding processor speed, RAM, and background processes that might affect performance.

What is the main reason for local installation of AISHE instead of cloud-based operation?
Local installation enables real-time processing of neural states without latency from internet connections, which is crucial for precise trading decisions.

How does interaction between different AISHE instances on multiple computers work?
Instances do not communicate directly with each other but work independently. For coordinated strategies, users must align the parameters accordingly.

Can I combine AISHE with other trading tools?
Yes, AISHE can be used as part of a more comprehensive trading strategy but should be considered as an autonomous system that cannot be compared with classical tools.

How does CPU speed affect the number of tradable instruments?
Higher CPU speed either enables more instruments or more precise calculations with the same number of instruments, as neural state calculation is computationally intensive.

What is the difference between neural states and classical technical indicators?
Neural states capture complex, multi-dimensional market conditions, while technical indicators are based on simple mathematical calculations on historical data.

How long does the complete integration of a new instrument into AISHE take?
Integration happens relatively quickly, but full neural adaptation typically requires several days to weeks, depending on market volatility.

Can I trade with real capital during the training phase?
It is strongly recommended to initially train with a demo account until the system runs stably and neural states have been established.

How does AISHE recognize if a state repeats?
Through pattern recognition in the 18-digit state numbers and temporal correlations, AISHE identifies recurring patterns that are used for precise forecasts.

How does the number of instruments affect forecast accuracy?
More instruments can lead to better correlation recognition but also burden computing resources. The optimal number depends on the hardware.

How can I optimize the performance of my AISHE system?
Disable background processes, use a dedicated machine, optimize the number of instruments, and ensure hardware requirements are met.

What is the main advantage of neural state representation compared to traditional methods?
Neural state representation captures complex, multi-dimensional market conditions that traditional methods cannot represent, leading to more precise forecasts.

How often should I adjust AISHE's parameters?
After the initial training phase, only occasional adjustments are required, typically during significant market changes or changes in personal risk tolerance.

Can AISHE distinguish between different market phases (trend, sideways, volatility)?
Yes, through the analysis of neural states, AISHE recognizes different market phases and adjusts its strategy accordingly.

How is the accuracy of neural states measured?
Through the success rate of trading decisions and the alignment between predicted and actual market developments.

What role do external events (e.g., economic news) play in state calculation?
External events are incorporated into the Relationship Factor and influence neural state calculation through their effects on trader behavior and market structure.

How long does it take for AISHE to become fully functional again after a system interruption?
After connection restoration, AISHE typically requires 15-30 minutes to reconstruct neural states and make precise forecasts again.

Can I visually represent or analyze the neural states?
Yes, through AISHE's reporting tools, users can track neural states and their development, which improves understanding of system behavior.

How does AISHE react to sudden market changes (e.g., flash crashes)?
Through continuous updating of neural states, AISHE can react relatively quickly to sudden changes, with reaction speed depending on the hardware.

How does neural state calculation differ for various asset classes (stocks, Forex, crypto)?
The basic structure remains the same, but the specific weightings of the three factors and timeframes for forecasts differ based on the characteristic properties of each asset class.

How can I ensure my AISHE system runs optimally?
Regular monitoring of system resources, minimizing background processes, using a dedicated machine, and targeted adjustment of the number of instruments to hardware capacity.

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