[Financial AI Research] 0 trades with 52 signals? Evening observation and AI judgment unconfirmed
There are 52 natural signals, so why are there zero confirmed trades?The evening conclusion is that the two figures are different, and we cannot yet determine why orders were not placed individually. We do not count zero items as AI pass-through success or loss avoidance by replacing the signal display with the number of executed trades. The match between VPS and local, and activities after the deadline, are also unconfirmed.
Evening version of the scope of confirmation:The sources are DAILY_BRIEF with a deadline of 18:35:48 JST on October 26, trades.json, evidence_excerpts, and video_refs. This is an article that organizes the progress of financial AI, AI agents, self-made indicators, and EA research and development based on local observations of the original. It does not independently re-acquire or audit the original decision records, all-order history from the source, or the VPS at the same moment. It shows the scope of confirmation with time stamps, not current results or causes.
Evening basis: distinguishing 52 signals from 0 confirmed
Natural signals from 07:00:16 to 18:01:20 JST are 52, with BUY 35 and SELL 17. There are also 25 warn0, 6 warn1, and 21 warn2 in the original. The by-direction and by-warning breakdown are two different compositions of the same 52 items, not summed to 104. Including warn0, none of these can be assumed to be orderable candidates or actual orders. Under the existing policy, warning signals are not traded, and the normal signals after warnings are evaluated independently, but they are not automatically mapped to each signal’s individual pass-away reasons.
The live telemetry at 18:35:48 JST shows daily_trades=0, daily_profit=0.00, position_count=0, and the per-day totals and P/L for the entire account are also 0. The currency with profit/loss 0.00 is not explicitly stated and is not described as 0 yen profit. The heartbeat at 18:35:40 JST shows open_count=0, scanned_total=0, magic_mismatch_count=0, and tickets is an empty array. These are observations at each retrieval time and do not independently confirm the entire day or current account statements.
The ACK, TICKET_SIGNAL, result, and position actual files updated on the same day have not been confirmed. Since there are zero confirmed trades, the on-day tickets/signals media corresponding have been deemed zero by the original. The fact that the Drive’s on-day folder was not found is not evidence of zero trades. Recording requirements when new trades appear have not been exempted, and recordings of separate trades in September, etc., are not reused in this article.
Background at 06:10 in the morning: current approval method and discretionary concept
The following is a整理 of the morning specifications. In the morning scope “excluding the evening of the day,” the above evening observations were added at another time point. This does not indicate that the concept has been implemented or that AI has rejected 52 items one by one.
Has the concept of AI handling everything from monitoring to order, holding, and settlement already been moving?The morning conclusion on October 26 is that the latest handover remains at the concept stage, and no new implementation or deployment has been confirmed. The materials clearly distinguish the current path of “EA candidate → AI approval → EA order” from the discretionary approach where AI autonomously handles the entire sequence of monitoring, candidate discovery, orders, holding, and settlement. The theme is not to present the concept as a direct result in production.
This article is a record of research and development and live-account testing of financial AI, AI agents, self-made indicator GOLD13, and automated trading software (EA). The source is LOCAL_CODEX_HANDOFF_2026-10-26_0610_JST. The target period is 06:10 on October 25 to 06:10 JST on October 26, and does not include late-evening information. In article production, individual AI judgment logs, order responses, account statements, and VPS actual settings were not independently re-acquired or re-audited. It is not an article that confirms current natural orders or profits; it is an morning整理 that separates maintained specifications from unimplemented concepts.
Conclusion: Approval method and discretionary method have different subjects
In the method described as current in the materials, the flow is that the EA presents candidates, the AI approves, and the EA places orders. The主体 that created the candidates, the entity that approved, and the entity that requested the orders are distinguishable. On the other hand, the discretionary concept is a plan in which AI autonomously handles monitoring, candidate discovery, orders, holding, and settlement. The common element is that both include AI, but they cannot be treated as the same implementation. The entry point of judgment and the scope of execution responsibilities differ.
Diagram | separating the current description, concept, and live verification into three
| Current method on the materials | EA candidate → AI approval → EA order |
|---|---|
| Consideration concept | AI autonomously handles monitoring, candidate discovery, orders, holding, and settlement. No confirmation of new implementation or deployment |
| Current confirmation limits | No direct reconciliation of VPS effective settings, natural orders, positions, or profits and losses. The specification description is not production proof |
Basis: the latest handover maintained judgments
The handover maintains the final整理 that warnings signals are not traded, and normal signals after warnings are evaluated independently. If past instructions and later corrections differ, the later final instruction is treated as correct. Confusing the appearance of a warning with the appearance of an order candidate on the same chart can lead to different actions. In the research article, we will not claim that trading occurred simply because a warning existed.
However, maintaining the specifications and applying them in the production on the day are separate. The morning materials do not contain records confirming unique signal IDs, orders tickets, executions, or wins/losses for the target period. Therefore, concrete examples of success such as “ignored warnings to profit” or “normal signals approved by AI” cannot be presented. The limitation is that the description alone does not construct the time series of natural orders.
The materials do not confirm new trading code implementations, deployments, or new approvals within the target period. The local EA, GOLD13, and saved chart SHA are the same as the previous day, but the production VPS loaded version and actual settings are not confirmed. Therefore, the new method being deployed or the current device functioning under the old method cannot be concluded from the local保存 state alone.
Separating AI judgments and order execution results
What is needed next as a research record is to be able to trace what was entered, what judgments were returned, who executed, and what was returned, starting from a candidate ID. Even if there are records of AI approvals, it is a separate question whether an order request was sent, whether the broker accepted it, whether it executed, and how it finally ended. If you summarize “AI trading” on one screen or in a short summary, you cannot see which stage was confirmed.
For example, no candidates, explicit AI pass-through, EA-side guard rejection, communication failure, order rejection, and post-execution result waiting may appear similar when looking only at the number of orders. These are design examples of classification, not a claim that all codes are implemented in this version. We need to verify the current implementation and see how far the records can be compiled. We will not replace missing log items with a uniform “AI pass”.
If you want to test the discretionary concept, first fix the boundaries
In the plan to expand the scope of AI autonomy, we must separate external actions like observations and orders and clarify in advance where to limit to mere consideration. When comparing with the current method, if the candidate set or evaluation period differs, good results cannot be solely attributed to the difference in method. This article organizes the research comparison conditions and does not engage in authorizing orders to AI or relaxing current constraints.
In the comparison plan, we specify the target time window, input freshness, permissible operations, stop conditions, maximum risk definition, and result aggregation scope. Then we decide what to compare for the same candidates and cost conditions. This is a future verification condition, not a produced specification. In particular, it is avoided to claim that the maximum risk shown by a value alone ensures that actual executions or costs fall within that value.
Moreover, it would be dangerous to assume that no response means no request and retry it. In validation, you must connect candidate and request identifiers, submission logs, responses from the receiving end, and account status to confirm what actually happened. However, in this production, we did not perform re-sending of production requests, order tests, or EA restarts. We will not create evidence of natural trades through such operations.
Do not tie local failures to AI method superiority
This morning's materials include an observation that local EA logs show repeated open failure of the spread CSV err=5004. The cause and production impact are not confirmed. It is not possible to conclude that this failure means we should switch to the discretionary method, or that the AI-approved method would have avoided the failure. First, determine which process could not read what and what downstream was passed. Do not reuse unrelated problems as evidence for the necessity of the new method.
Similarly, a lack of matches in local log search terms for orders does not prove that the actual account traded zero. Since we did not directly view VPS positions or orders this time, we cannot count AI pass occasions. We will not report that passings were superior, win rate improved, or losses reduced without aligning judgment logs, order records, and profit-and-loss denominators. We separate the appeal of the concept from the strength of current evidence.
Limitations and what to confirm next
Next, we will verify the effective settings and loaded versions on the target device for the current method, and check whether we can trace AI judgments, EA guards, order responses, positions, and final results from the same candidate ID. Warnings and normal signals will be recorded separately, and the processing stage will be distinguished. Without direct confirmation of production, we will not certify execution based on stored specifications or local files alone. These are items of confirmation not yet performed.
For discretionary concepts, we will first confirm whether explicit decisions to implement and deploy were made, and whether the boundary between verification scope and external actions was defined. Placing the concept in the article is not a production deployment approval or permission for live account operations. This edition does not change trading codes, EA, MT4, AutoTrading, VPS, OBS, authentication information, or permissions, and has not performed a live submission or order test. Research and development plans and results will continue to be reported separately.
Weekday 24-hour trade live broadcasts are an effort to present research progress. We have not re-confirmed the current broadcast operation or production profits and losses in this version. Since the source confirming recordings directly addressing this concept and the day's natural orders are not confirmed, we will not reuse September’s ticket footage as October 26’s成果. If later materials are gathered, we will update with the same article URL showing target period and confirmation contents.
Notes when referring to the specifications
The reference for the specifications of self-made indicators and EA research and verification isGogoJungle GOLD13 sales pageIt was marked as discontinued in the previous check and, this time, the purchase possibility has not been re-confirmed. The specification introduction is not a guarantee of future profit nor a purchase recommendation, and there are no hyperlinks to external social media in the main text. FX and GOLD can entail losses exceeding the principal. Reading the current method, the consideration concept, and the verified live results separately is the conclusion of this article.
Evening’s limit and the next chain to pursue
The individual reasons for each natural signal are not judged because there is no chain progressing from signal ID to ACK, TICKET_SIGNAL, position, and result. Do not deduce from 0 items whether there were no candidates, AI judgments, fixed constraints, or processing issues. Activities after 18:35:48 and the VPS at the same time are also unconfirmed. Do not expand the observed 0 items into a daily confirmed count or a risk-free result.
If a new ticket appears, we will link it to a unique signal ID, and read back the provider results, orders, entrances, and video and stills from Drive of the entire path from entry to exit, as well as trade_meta. The condition is to corroborate fresh telemetry, heartbeat, and result at the next deadline. In this instance, we did not perform actual orders, resends, configuration changes, or speculative generation of result files. Even in weekday 24-hour trade live broadcasts, we will clearly distinguish candidates, orders, and profits and losses.