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1. Summary
This doc outlines the architectural framework of a proprietary Knowledgeable Advisor (EA) designed to bridge retail buying and selling platforms with institutional-grade synthetic intelligence. The system makes use of a two-stage processing mannequin consisting of a neighborhood technical scan and a centralized AI verification layer. This paper explains the rationale behind the “No API Key” requirement, particulars the exact lifecycle of market information transmission, defines the privateness protocols governing information assortment, and describes the built-in fail-safe mechanisms that guarantee operational integrity. The target is to supply absolute transparency relating to how the system interacts with person terminals and distant servers to generate buying and selling alerts.
2. System Structure: The Two-Stage Mannequin
The EA operates on a hybrid structure that distributes processing masses to optimize for each velocity and analytical depth. This design negates the necessity for particular person customers to produce private API keys.
2.1 Stage 1: Native Technical Scan (Shopper-Facet Processing)
This course of executes instantly throughout the person’s MetaTrader terminal (VPS or native PC).
Operate: It analyzes uncooked worth motion and technical indicator values based mostly on the present market construction.
Objective: To establish quick technical setups with zero latency, guaranteeing fast detection of short-term shifts.
2.2 Stage 2: Centralized AI Verification (Server-Facet Processing)
Knowledge from the native scan is forwarded to a centralized server for validation.
Operate: The server makes use of a hybrid mannequin combining TensorFlow logic and GPT-4o inference to carry out sentiment filtering and sample validation towards broader market contexts.
Financial Rationale: By working a centralized enterprise-grade API subscription, the developer absorbs the variable token prices related to AI inference. This mannequin is extra cost-efficient for the end-user than requiring particular person API keys, which might incur per-tick evaluation bills.
3. Knowledge Transmission and the Middleware Bridge
Communication between the shopper terminal and the AI server is facilitated by a devoted middleware bridge. This ensures standardized information packaging and safe transmission.
3.1 The Knowledge Lifecycle
Assortment: On the shut of each H1 candle, the EA collects Open, Excessive, Low, Shut (OHLC) information and native indicator values.
Packaging: This information is serialized into a light-weight JSON payload.
Transmission: The EA makes use of the usual MQL5 WebRequest perform to POST the payload to the bridge server on the devoted IP deal with: http://78.129.242.52/ .
Inference: The server processes the info by the hybrid mannequin to calculate a chance rating for the anticipated market motion.
Response: The server returns the validated sign to the EA for execution.
3.2 Privateness Protocol: Knowledge Scoping
To make sure person safety, the system strictly limits the info transmitted:
Transmitted Knowledge: The payload is restricted to market information (Image, Timeframe, Worth Knowledge) and a hashed license identifier for authentication functions.
Excluded Knowledge: The system explicitly does not accumulate Personally Identifiable Info (PII), together with account title, stability, dealer title, or IP deal with.
Stateless Operation: The inference server is stateless relating to person identification. It processes the mathematical enter, generates an output, and doesn’t retain user-specific session information.
4. Transparency and Efficiency Safeguards
The structure contains a number of layers of transparency and threat administration to guard capital.
4.1 Dynamic Threat Administration (Information Filtering)
The EA connects to exterior time servers and information feeds to synchronize buying and selling exercise with international financial occasions. By integrating URLs akin to https://nfs.faireconomy.media and https://www.worldtimeserver.com , the system identifies high-impact information occasions and halts buying and selling to guard towards slippage and unfold widening.
4.2 The “Fail-Protected” Mechanism
The system is hard-coded with a dependency on the central server to forestall unverified execution.
Security Mode Activation: If the connection to the AI Server is interrupted (on account of web outage, API timeout, or server error), the EA instantly enters a “Security Mode.”
Default Motion: The default command turns into “WAIT.”
Execution Logic: The EA is programmed to by no means open a commerce and not using a confirmed validation response from the server. This ensures capital isn’t uncovered to trades based mostly on incomplete or unverified information.
5. Required Configuration for Connectivity
To allow the info move described above, the person’s MetaTrader terminal have to be configured to authorize outgoing net requests. That is achieved by navigating to Instruments -> Choices -> Knowledgeable Advisors and including the next URLs to the “Enable WebRequest for listed URL” part:
6. Conclusion
This method is designed to supply retail merchants with entry to a centralized AI processing community. By distinguishing between a “Black Field” and a “Proprietary Algorithm,” this doc goals to make clear the info move structure. Whereas the precise weights of the neural community stay proprietary for mental property safety, the logic governing connectivity, information transmission, and fail-safe protocols is clear. This ensures customers perceive exactly how their terminal interacts with the worldwide intelligence community to generate buying and selling alerts.
