MetaQuotes-Demo build 6235: raw tick time domain and verifiable demo cost specifications

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Could MetaQuotes clarify the following technical questions about MetaQuotes-Demo, terminal build 6235 and the official MetaTrader5 Python package 5.0.6180? The observations below were read-only.

1. **Tick timestamps and request bounds.** At host UTC 2026-10-05 23:50:28.023858, EURUSD `symbol_info_tick` returned raw `time_msc=1791255027846`. Formatting that number as Unix UTC gives 2026-10-06 02:50:27.846. An independent clock observation bracketed this capture. Repeated observations show a roughly three-hour numeric lead; we have applied no adjustment. What are the epoch/time domain of `time`, `time_msc`, and `copy_ticks_range` bounds on this server? The Python documentation says UTC. If wall-clock encoding applies, please identify date-specific mapping and transition rules for 2022–2025 and 2026, including any build-specific issues.

2. **Account-specific costs and specifications.** EURUSD's specification dialog shows current swaps, sessions and floating margin tiers, but no commission section. Is an absent commission section authoritative evidence of zero commission for this account product, or where can we obtain the applicable fee/minimum-fee schedule? What identifies its effective dates? We would also need dated swap/rollover rules and historical contract/session specifications, or confirmation that these are unavailable. Current values alone cannot establish historical charges.

3. **Data retention and revisions.** What terms govern local retention and internal research replay of historical demo bid/ask ticks? Is there a supported source/version or synchronization check for historical revisions and successful empty tick responses? We preserve originals and compare exported raw arrays to earlier hashes; a previously failed monthly request subsequently returned records.

Please point us to authoritative documentation or the appropriate service owner. We are not requesting trading advice, a trading account change, credentials, or paid data.
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