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I. MANUAL GUIDE & TECHNICAL SETUP (IMPORTANT)

1. Your 24/7 AI Assistant (Changing Boring PDFs)

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– On the spot Solutions: Get fast assist with setup, operation, and skilled ideas.

– Interactive Studying: As a substitute of figuring it out your self, simply ask a query. The bot acts as your private information to make the setup course of quick and intuitive.

2. AI Server Connection (That is important for Backtesting and Reside Buying and selling.)

If you’re unable to carry out backtesting, it’s because you haven’t put in sufficient web sites linked to the AI Server. To allow the EA to speak with our AI Server and performance accurately (together with Backtesting), you MUST add the required URLs to your MT5 settings.

– Setup Information: Observe the step-by-step directions right here: https://t.me/eatradingai/9

– Why that is very important: Correctly putting in these URLs permits the EA to entry the “AI Mind” on our servers. With out this connection, the EA can’t analyze market sentiment or execute Stage 2 verification.

Guarantee your “F1 automobile” is linked to the correct observe for max efficiency! 🤝

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II. Why We Do not Want Your API Keys: A Clear Have a look at Our Centralized AI Buying and selling Structure
1. Summary

This doc outlines the architectural framework of a proprietary Professional 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 an area 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 knowledge transmission, defines the privateness protocols governing knowledge assortment, and describes the built-in fail-safe mechanisms that guarantee operational integrity. The target is to supply 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 hundreds to optimize for each velocity and analytical depth. This design negates the necessity for particular person customers to provide private API keys.

2.1 Stage 1: Native Technical Scan (Shopper-Facet Processing)
This course of executes immediately throughout the consumer’s MetaTrader terminal (VPS or native PC).

• Perform: It analyzes uncooked worth motion and technical indicator values based mostly on the present market construction.

• Function: To establish fast technical setups with zero latency, guaranteeing fast detection of short-term shifts.

2.2 Stage 2: Centralized AI Verification (Server-Facet Processing)
Information from the native scan is forwarded to a centralized server for validation.

• Perform: 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. Information Transmission and the Middleware Bridge

Communication between the consumer terminal and the AI server is facilitated by a devoted middleware bridge. This ensures standardized knowledge packaging and safe transmission.

3.1 The Information Lifecycle

1. Assortment: On the shut of each H1 candle, the EA collects Open, Excessive, Low, Shut (OHLC) knowledge and native indicator values.

2. Packaging: This knowledge is serialized into a light-weight JSON payload.

3. Transmission: The EA makes use of the usual MQL5  WebRequest  perform to POST the payload to the bridge server on the devoted IP tackle:  http://78.129.242.52/ .

4. Inference: The server processes the information via the hybrid mannequin to calculate a likelihood rating for the anticipated market motion.

5. Response: The server returns the validated sign to the EA for execution.

3.2 Privateness Protocol: Information Scoping
To make sure consumer safety, the system strictly limits the information transmitted:

• Transmitted Information: The payload is restricted to market knowledge (Image, Timeframe, Worth Information) and a hashed license identifier for authentication functions.

• Excluded Information: The system explicitly does not accumulate Personally Identifiable Info (PII), together with account title, stability, dealer title, 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 knowledge.

4. Transparency and Efficiency Safeguards

The structure consists of a number of layers of transparency and threat 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 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-Secure” 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 (as a result 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 with no confirmed validation response from the server. This ensures capital is rarely uncovered to trades based mostly on incomplete or unverified knowledge.

5. Required Configuration for Connectivity

To allow the information movement described above, the consumer’s MetaTrader terminal have to be configured to authorize outgoing internet requests. That is achieved by navigating to  Instruments -> Choices -> Professional Advisors  and including the next URLs to the “Permit 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 information movement structure. Whereas the precise weights of the neural community stay proprietary for mental property safety, the logic governing connectivity, knowledge 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.