[Financial AI Research] If five saves are the same, will the production be the same too? Three pieces of evidence connected by Tuesday verification

Conclusion: Connect responses from the matched保存物 to the current production

“If it’s the same five files as yesterday, is the EA likely to be running today as well?” The morning briefing on November 3 confirms only that the SHA256 of the five preserved items matched the previous day’s value. The version loaded in production and the actual configurations require direct confirmation at the same point in time. In Tuesday’s study, we start from the match of preserved items and sequentially map the current version, naturally arising candidates, and order records.

Simply attaching a new confirmation date to the records up to yesterday does not advance the study. We must clarify what was observed updated today. There is a record that the preserved contents were recalculated at 06:14 JST on November 3. On the other hand, there is no note that more production screens or original operating accounts were obtained. Not omitting this gap is essential for the next concrete step in actual account verification.

Evidence 1: The five items consist of two program pairs and one preserved chart

The breakdown is two items for the FUNDAFX_EA5 source and executable, two items for GOLD13_Signal source and executable, and one preserved chart. The unit is the number of files, not the number of orders or verification iterations. Having the same-named source and executable together does not by itself prove that the executable was generated from this source this time. What the briefing reports here is the match between each preserved item and the previous day’s reference value.

The period being handed over is from 11/02 06:10 to 11/03 06:10 JST. It states that the person in charge did not change the trading specifications, code, or production deployment within the target period. While this aligns with the observation that the preserved contents are the same, it is not an audit that nothing changed for all responsible parties and devices. We avoid sweeping conclusions beyond the scope of the person’s duties and record exactly what was confirmed.

Evidence 2: Align prod version and actual settings to the same point in time

When confirming the current production load version, it is necessary to keep a set of series name, version, operating environment, and audit time. Merely knowing the configuration values is not enough to assert which version loaded those values; similarly, knowing only the version could lead to misinterpretation if the settings were from different times. The morning handover notes that the production-loaded EA and GOLD13 version, Gemini settings, AutoTrading, and positions were not directly rechecked. Not checking these is not equivalent to the functions being off or positions being zero. Do not fill in gaps with old values or convenient defaults; logging the confirmed items as they stand helps avoid missing the next required documentation.

The morning handover notes that the production-loaded EA and GOLD13 versions, Gemini settings, AutoTrading, and positions were not directly reverified. These unverified items do not imply that functions are off or positions are zero. Do not fill in missing fields with past values or convenient defaults, as this helps prevent losing sight of the next necessary documentation.

Evidence 3: Trace natural candidates to the order tickets

Once production conditions are in place, for each natural candidate that arises, trace from the same ID and timestamp through AI response, EA intake, order ticket, fill, settlement. This is the order of verification and does not mean that all of these steps were completed in this instance. We do not perform test orders to support the article’s explanations. Any lack of records is left explicit, and we will address natural records when they can be obtained.

If a candidate is rejected, we verify the reason with the same candidate’s records. It is not possible to determine whether the input was insufficient, waiting pre-acceptance, or a market condition-driven rejection simply because no order is found. Using a successful example from another date to fill this gap would alter the basis for judging accuracy.

Limitations: Matching preserved data is not a measure of performance improvement

This morning’s briefing does not include a series of verifications with tickets, signals, fills, and P/L. Therefore, we do not compute win rate, adoption rate, recovery rate, or profitability improvement from five-point matching. To compare trading results, we must align the target period, quantity, costs, currency, and attribution to the target EA. Even if the overall account value differs, treat it separately from results for the target EA.

If there are past records where a human verified production, those verifications are not canceled. The past remains as evidence from that time, and this time’s directly verified scope is updated. The more the preserved values stay identical across days, the more important it is not to omit the comparison point and environment. The re-confirmation of the five preserved items is progress, but the bridge to natural trading remains incomplete.

Next checks: three remaining unconfirmed actions

The next briefing requires aligning preserved items with production load versions, production versions with actual settings, and natural candidates with order tickets. Confirming any one item will not automatically complete the rest. When the evening corrected draft arrives, we will add observations and targets that increased since morning and judge whether daily results are complete. Today’s study proceeds by clarifying what “the same” refers to.

How to leave confirmation fields

The fields left in the confirmation table are preserved filename and reference time, production series and version, actual setting acquisition time, candidate ID and acceptance time. The purpose of increasing the number of fields is not to complicate but to prevent mixing records from different times into one achievement. Fields that cannot be filled from this morning’s briefing are marked as unconfirmed, and we will check if the same targets appear in the next briefing. Even on days when files do not change, we still record whether production confirmation times could be updated.

Evening cross-check: separate policy changes from production verification

Even the 18:32:41 JST finalized version of the evening has not confirmed new trading policies, trading codes, additional deployments of EA or GOLD13, or AutoTrading changes. This reflects the scope of documents reviewed by the editor and is not an audit that reads back the production state directly. We record the morning five-item match and the evening document cross-check as two separate progress updates.

Additional trading implementations and deployments for GOLD13SX v1.09 deployed on October 30 have also not been confirmed from the evening briefing. The exit order and profitability effects of v1.09 natural trading lack ticket-level evidence and are not verified. Canceling a past deployment does not imply we’ve confirmed today’s effects.

Next verifications involve the production VPS load version, actual inputs, AutoTrading, and the reading of open positions, with fresh trading heartbeat, positions, results, and original account history under the same deadline. Preparing the edited materials and confirming these trades are not automatically equivalent. Any missing values remain unconfirmed.

Source, timing, and objective of the study

The principal document is LOCAL_CODEX_HANDOFF_2026-11-03_0610_JST. The target period is 11/02 06:10–11/03 06:10 JST, with the re-check of preserved items recorded at 11/03 06:14 JST. This article is a supplementary edition cross-checking the morning preservation records against DAILY_BRIEF.md, trades.json, incidents.md, decisions.md, and code_changes.md as of 11/03 18:32:41 JST. We do not infer conditions beyond the morning confirmation time for the entire day’s performance. Hand-off personnel and the article author’s on-page verifications are distinguished.

As part of financial AI and AI agent research and development, we continue testing our own indicators and automated trading software (EA). We share progress during the weekday 24-hour live trading broadcasts. The existence of a broadcast does not automatically confirm specific orders or profitability. The specifications and conditions areGogoJungle product pagewhere sales information is listed.

The existing policy in the materials does not include warning signals themselves; instead, we separately examine subsequent normal signals. The concept of AI-led discretionary methods is considered in the planning stage and is not introduced as a deployed feature this time. We have not conducted trial orders, trading setting changes, or production-integrated deployments for this article.

In this briefing, the natural candidate ID, order ticket, and fill time that correspond to confirmed trades cannot be identified from the morning briefing. We do not show unrelated footage as part of this article; the figures indicate which items should be checked in the main text. If further cross-checking of the original preserved materials becomes possible, we will add the additional evidence and unresolved items to the same article.