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AIman:
Overall, the monitoring page provides users with a comprehensive overview of the connected AISHE clients and their account information, allowing for efficient monitoring and management of multiple trading accounts.
The "Dash" is a management tool within AISHE client systems that provides users with a customizable comparison format for monitoring and analyzing their AI trading strategies across multiple client systems. It is designed to help users keep track of their trades, identify trends, and make informed decisions about their AI setting strategies.
Overall, the "Dash" is a powerful management tool that can help users stay on top of their systems and make informed decisions about their AI setting strategies. With its Terminal commands, comprehensive overview, and advanced features, the "Dash" is an essential tool for anyone using AISHE client systems for trading.
DNDC, or Dynamic Neural Data Control Points Adjustment, is a powerful feature within the AISHE system that allows users to create stable neuronal setting filters for their AI strategies. DNDC works by using several filter kernels per convolutional layer, creating layers of feature maps that extract different neural features due to different point matrices.
The "Chain" tab in the AISHE system provides a comprehensive overview of results. It displays data from all AISHE client systems, up to a maximum of 30 systems, in weekly comparison. With this overview, users can quickly and easily compare the performance of different AI trading strategies and settings.
The "Session" tab in the AISHE client-system allows users to customize attribution settings for session times and values. With this level of customization, users can tailor the attribution settings to their specific needs, making it easier to track and analyze the performance of sessions.
The "State" tab in the AISHE system's Cloud State Control allows for easy template transfer between different AISHE clients. With the ability to selectively choose days and groups such as ETC, Indices, Forex, Crypt, and Shares, users can transfer the neural crypt values from one AISHE client to another. This can be particularly helpful for users who want to maintain consistency between their different AISHE clients or who want to transfer successful templates from one client to another. The process is simple and streamlined, making it easy for users to send neuronal state templates from one AISHE ID to another.
The "CoL" tab (Collaboration) allows users to compare the results of neuronal states from multiple AISHE client systems that have been grouped together using Federated Learning. Federated Learning is a machine learning approach that enables multiple AISHE client systems to collaboratively train a shared neural network without exchanging their data with each other. This ensures that the privacy and security of the data are maintained, while still allowing the systems to learn from each other and improve their performance.
The "Settings" tab provides an overview of the data exchange and monitoring settings configured in the "Drive" tab. Users can easily monitor the status of the cloud drive folders and the communication between AIman and the AISHE client systems. This tab does not require any additional configuration, as it simply displays the current settings and status of the system.
Welcome to AIman, your centralized management and control tool for AISHE! Our tool is designed to help you manage multiple AISHE clients across your network, ensuring that all of your trading activities are optimized and coordinated. With AIman, you can monitor trading performance, manage settings and configurations, and deploy updates and patches seamlessly. Our tool is designed to be scalable and flexible, so you can adapt it to your changing needs and requirements.
1. Monitor
The monitoring page displays an overview of 30 monitor states from connected AISHE clients, including historical views of profit and loss, active orders, and trading symbols. Users can view AI modes, account information, and collaborative learning state for each client. The monitoring page allows efficient management of multiple trading accounts.
- The monitoring page displays 30 monitor states from the connected AISHE clients from left to right.
- For each AISHE client, the monitoring page displays a historical view of the profit and loss (PL) from Sunday to Saturday.
- The monitoring page displays the actual 11 different trading symbols on the monitor for each connected AISHE client.
- The monitoring page displays the open active orders from all AISHE systems in the range from 1 to 30 AISHE monitors as a short overview.
- The monitoring page allows users to view the state of AI deep learning mode, AI controlling mode, and neuronal state for each AISHE client.
- The monitoring page allows users to view the state of real-time data (RTD) and Dynamic Data Exchange (DDE) for each AISHE client.
- The monitoring page allows users to view the balance, equity, used margin, and free margin of each AISHE client.
- The monitoring page allows users to view the time close and max time features for each AISHE client.
- The monitoring page displays the state of collaborative learning of artificial intelligence as on or off for each AISHE client.
Overall, the monitoring page provides users with a comprehensive overview of the connected AISHE clients and their account information, allowing for efficient monitoring and management of multiple trading accounts.
2. Dash
Here's an overview of some of the key functions of the "Dash":
Comprehensive overview:
The columns in the "Dash" represent each AISHE client system, and users can view a range of data such as NState (neuronal state), SPrice (stop price), Points (profit/loss points), OpenT (open time), and Hold (hold time).
Advanced features:
The "Dash" includes advanced features such as trailing stops, balance factor adjustment (BFact), and time range settings for trades. Users can also turn off the time close and end time features or set hold times for specific trades.
Easy navigation:
To use the "Dash," users simply start their AIman and navigate to the "Dash" tab. The "Dash" provides a comprehensive overview of results, making it easy for users to keep track of their trades and identify trends.
3. Week
"Week" is a weekly overview tab that provides AIMAN users with a snapshot of strong movement times in the financial market. The tab helps users understand the relationship between momentum and volatility and how they affect market trends. During a market period with high momentum, the price only moves in one direction, and the candles do not have much of a shadow. Momentum is often referred to as trend strength.
In contrast, a ranging market has high volatility and low dynamics because the price moves back and forth between two boundaries. However, at the end of the trend, one can often see that volatility increases as momentum subsides. This is why it's important to understand the relationship between momentum and volatility and how they affect market trends.
A rally in the market occurs when investors with substantial amounts of capital decide to enter the market, which creates an immediate buying pressure. As a result, there is a sudden increase in prices because the quantity of sellers has not caught up with the sudden buying pressure. The length or magnitude of the rally is determined by the depth of the buyers and how quickly sellers react to the buying demand.
It's important to note that the tendency of sellers to overreact to buying demand is the reason for the sudden termination of a rally. For instance, if there is a large group of buyers but only a few sellers available, there will likely be a significant rally in the market. However, if the buyers and sellers are evenly matched at the same time, the rally will more than likely be short-lived with little to no significant change in overall prices. Therefore, the balance between buyers and sellers is a crucial factor in determining the duration and magnitude of a rally.
Overall, "Week" provides a comprehensive overview of strong movement times in the financial market and helps users make informed decisions about their trading strategies.
4. DNDC
DNDC, or Dynamic Neural Data Control Points Adjustment, is a powerful feature within the AISHE system that allows users to create stable neuronal setting filters for their AI strategies. DNDC works by using several filter kernels per convolutional layer, creating layers of feature maps that extract different neural features due to different point matrices.
Using DNDC, users can send data from one AISHE client system to another by selecting the ID to ID option. This process is easy to use and allows for seamless communication between AISHE client systems, which is critical for building stable neuronal setting filters.
DNDC is an essential tool for anyone looking to optimize their AI strategies and achieve greater accuracy and performance. With its advanced features and easy-to-use interface, DNDC helps users create stable neuronal filters that extract the right neural features to achieve their trading goals.
5. Balance
"Balance" is a powerful overview tab that provides a comprehensive view of the financial market using a unique "Fibonacci clock" on the right site. Left site acts like a barometer that displays the real-time status of 11 different financial instruments, giving users an overview state of market trends and conditions.
On the right side of the tab, users can select up to 6 different Fibonacci clocks, each one corresponding to a specific instrument that the user can select. This feature allows users to the the performance of their preferred instruments in real-time and support and resistance levels using Fibonacci retracements.
The "Balance" tab also includes Red color-coded numbers that represent areas of resistance, with values of 0, 25, 50, and 75. These resistance levels help users identify potential areas of market congestion and can be used to set stop-loss levels and profit targets.
Overall, "Balance" is an essential tool for traders and investors who want to stay informed about market trends and make informed decisions about their trading strategies. With its easy-to-use interface and comprehensive features, "Balance" is a must-have for anyone looking to succeed in the financial markets.
6. Chain
The "Chain" tab in the AISHE system provides a comprehensive overview of results. It displays data from all AISHE client systems, up to a maximum of 30 systems, in weekly comparison. With this overview, users can quickly and easily compare the performance of different AI trading strategies and settings.
The comparison fields in the "Chain" tab include essential metrics such as total net profit, gross profit, gross loss, profit factor, expected payoff, absolute drawdown, maximal drawdown, maximal drawdown %, relative drawdown %, relative drawdown, total trades, short positions won, short positions won %, long positions won, long positions won %, profit trades total, profit trades (% of total), loss trades total, loss trades % of total, largest profit trade, largest loss trade, average profit trade, average loss trade, maximum consecutive wins, maximum consecutive wins ($), maximum consecutive losses, maximum consecutive losses ($), maximal consecutive profit $, maximal consecutive profit (count), maximal consecutive loss $, maximal consecutive loss (count), average consecutive wins, and average consecutive losses.
With this comprehensive overview of AI trading results, users can easily identify the strengths and weaknesses of their AISHE client system strategies and adjust their settings accordingly to achieve better profits.
7. Adjustment
The "Adjustment" tab allows users to customize their AISHE ID client system by making default or desired changes. This feature is referred to as the "interdependence chain and adjustment structure" and has two components: "Day setting" which applies only to the current day and is not a global setting, and a combination of "Adjust Daily Trading Requirements".
While it is recommended to leave everything unchanged, users with country-specific settings on their computers should check whether the table contains incorrect settings. If necessary, adjustments can be made here and entered into the configuration file or have them changed.
Please note that the settings in the "Adjustment" tab are quite complex and may require special treatment and explanation depending on the conditions. It is recommended to refer to the "Dash" tab for a comparison of settings to ensure optimal performance.
In addition to the previous description, it should also be mentioned that the language setting is a crucial aspect when making adjustments in the "Adjustment". It is important to ensure that the correct language is set for the specific AISHE client system to avoid possible problems or misunderstandings.
In addition, users have the option to freeze the currently visualized setting by selecting an AISHE client system and importing it using the "Don't read" checkbox. This feature allows users to carry those settings over to the next system to be selected, making the fitting process faster and more efficient.
8. Session
Users can activate or deactivate mapping, session-based mapping, and reassignment in their customization settings, which enables the AISHE client-system to make data-driven decisions based on accurate performance tracking.
Customizing the AISHE client-system session settings can help achieve the goals more efficiently. With the "Session" tab, you have the ability to set attribution settings that are tailored to your unique needs, giving you a powerful tool.
9. State
10. PL
The "PL" tab in AIman provides an experimental real-time forecast function that visualizes the direction of a symbol of your choice in real-time. This function allows users to see the short-term, medium-term, and long-term direction of a symbol within a time window of 5 minutes to 5 hours.
By utilizing advanced AI algorithms and neural networks, AIman is able to provide accurate forecasts of market trends and help users make informed trading decisions. The "PL" tab is a useful tool for traders who want to stay up-to-date on the latest market trends and make informed trading decisions based on real-time data.
11. VC
The "VC" tab refers to the value chain cloud files. In this section, existing templates are checked for their availability and displayed in a table format, divided into different session days and times. The suggested columns for the templates include Session1, Session2, Session3, Session4, Session5, Session6, MMB 4 Real, MMS 4 Real, Verkettung, Co. Lernen, Reports, Einstellung, State Timing, Autostart, and the date they were last modified.
During the initial installation, standard templates are provided with older timestamps that are automatically updated when any changes are made. Users can select customized templates from their AISHE group or have them automatically generated based on their preferences.
Users can also transfer the connections from one AISHE client to another. This can be especially useful for users who want to maintain consistency between their different AISHE clients or transfer successful templates from one client to another. The process is simple and streamlined, making it easy for users to send their connections from one AISHE ID to another.
12. Pntr
The "Pntr" tab in the Interdependence Chains Penetrator allows the user to copy and paste neural states from one area to another. This feature is useful for determining a competent architecture for the MMB/MMS by specifying the number and type of neural states and the number of M neurons in each layer.
Although the initial architecture may not be optimal, it can be iteratively optimized during training using auxiliary algorithms in the Aishe/Highway window. One family of these algorithms prunes state nodes based on the weight vector's small values after a certain number of training epochs, effectively eliminating unnecessary or redundant state nodes.
Each neural network consists of three types of layers: input, hidden, and output. The Pntr tab allows users to copy and paste these layers to create an efficient and optimized architecture for their AISHE client system. More information on these features is available in the Info PDF.
13. Col
Using the "CoL" tab, users can analyze the results of their collaborative learning efforts based on Session 1 (24 hours). However, it is important to note that this feature is intended for the easy creation and setup of the AI system only, and should not be relied upon as a one-day solution. By analyzing the results of the collaborative learning process, users can identify areas where their system is performing well and areas where improvements can be made, allowing them to continuously refine and optimize their AI system.
14. Settings
15. Drive
The "Drive" tab is where users can configure the cloud drive folders to facilitate data exchange between AIman and the AISHE client systems. By default, the GDrive drive is set to "g" and the work folder of AISHE clients is preset to "g:\shortcut-targets-by-id*_ai*". In addition, the AISHE client systems are automatically detected and displayed in this tab.
To ensure that AIman is able to access the necessary data for training, the demo account number of the MT4 used for training must be entered. If it has not been automatically recognized by AIman, the user should input it manually.
With the cloud drive folders set up correctly, AIman can easily access and exchange data with the AISHE client systems, enabling accurate and efficient training of the neural networks.
16. Symbols
The "Symbols" tab in AIman displays a comprehensive list of supported symbols from 155 countries in a table format. The table includes numerical information, country details, currency type, and ISO code for each symbol.
This feature provides a useful reference for users when owerview symbols for analysis and training, ensuring that they have access to a wide range of relevant and diverse data sources.
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