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1. Summary
This doc outlines the architectural framework of a proprietary Skilled 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 offer absolute transparency concerning how the system interacts with consumer 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 inside the consumer’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 instant technical setups with zero latency, making certain speedy 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 consumer 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 operate to POST the payload to the bridge server on the devoted IP tackle: http://78.129.242.52/ .
Inference: The server processes the information by way of 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 ScopingTo make sure consumer safety, the system strictly limits the information transmitted:
Transmitted Knowledge: The payload is restricted to market information (Image, Timeframe, Value Knowledge) and a hashed license identifier for authentication functions.
Excluded Knowledge: The system explicitly does not acquire Personally Identifiable Info (PII), together with account identify, stability, dealer identify, or IP tackle.
Stateless Operation: The inference server is stateless concerning consumer id. It processes the mathematical enter, generates an output, and doesn’t retain user-specific session information.
4. Transparency and Efficiency Safeguards
The structure consists of a number of layers of transparency and danger administration to guard capital.
4.1 Dynamic Danger Administration (Information Filtering)The EA connects to exterior time servers and information feeds to synchronize buying and selling exercise with world financial occasions. By integrating URLs equivalent 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-Secure” MechanismThe system is hard-coded with a dependency on the central server to stop unverified execution.
Security Mode Activation: If the connection to the AI Server is interrupted (resulting from 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 information movement described above, the consumer’s MetaTrader terminal have to be configured to authorize outgoing net requests. That is achieved by navigating to Instruments -> Choices -> Skilled Advisors and including the next URLs to the “Enable WebRequest for listed URL” part:
6. Conclusion
This method is designed to offer 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 information movement 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.
