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Let me check the chart application to diagnose why the LT chart isn't refreshing.

I can see the issue — `lt30jun26fut_5min.db` last updated **Jun 5 15:08**, while `lt_5min.db` updated today at 13:12. The LT futures DB has stopped updating. Let me check the filler script.

Let me check what the latest data in `lt_5min.db` actually is and what today's last candle timestamp is.

Found it. The DB has LT data up to **13:10 IST** but current time is **14:21 IST** — over an hour stale. The problem is `get_missing_trading_days` only checks for missing **dates**, not missing **intraday candles** on today's partial day. Since today has candles (09:15–13:10), it's treated as "present" and never refreshed. I'll add a `is_today_stale()` function and wire it into both the filler and the API route.

Now update `ensure_5min_db` to include today when it's stale:

Now update `app.py` so the API route also triggers refresh when today is stale:

Now restart the service and manually trigger a refresh for LT to catch up right now:

14 new candles added. Let me verify the latest timestamp:

Fixed. Here's what happened and what changed: **Root cause:** `get_missing_trading_days()` only detected fully-absent dates. Today had candles (09:15–13:10) so it was marked "present" and never re-fetched — leaving the chart stuck at 13:10. **Fix:** 1. Added `is_today_stale(db_path)` — returns `True` during market hours (09:15–15:30 Mon–Fri) if today's last candle is >10 minutes behind current IST time 2. `ensure_5min_db()` now prepends today to the fetch list when it's stale (existing `INSERT OR IGNORE` logic means duplicate candles are harmlessly skipped — only new ones land) 3. `app.py` route now triggers refresh when `is_today_stale()` is true, not just when full days are missing **Result:** LT is now current at 14:20. From here on, any chart load during market hours will auto-catch-up if it's more than 10 minutes stale — no manual intervention needed.

Let me check the frontend chart code and the API timestamp to pinpoint where UTC is leaking through.

The API epoch looks right — but I need to see how the frontend uses it. Let me check the index.html.

Found the exact bug. The server is in IST timezone, so `naive_datetime.timestamp()` treats a naive UTC datetime as IST — it subtracts 5:30 **twice**. The API sends an epoch that's 5:30 hours too early, and the frontend's `+ IST_OFFSET` only adds back 5:30 once, net result = chart shows UTC clock time. **Example:** 14:20 IST → API computes wrong epoch (03:20 UTC instead of 08:50 UTC) → frontend adds 5:30 → chart shows 08:50 (UTC). The fix: use `calendar.timegm()` which always treats a naive datetime as UTC regardless of server timezone. No need to change server timezone.

Now restart and verify the epoch is correct:

Fixed. The chart will now show **14:30** for the candle stored as `2026-06-08 14:30:00 IST`. **Why it happened — and why server timezone doesn't matter:** Python's `datetime.timestamp()` converts naive datetimes using the **server's local timezone**. Since the server is IST, calling `.timestamp()` on a naive "UTC" datetime subtracted 5:30 again, making the epoch 5:30 hours too early. The frontend then added 5:30 back — but only landed at UTC clock time, not IST. `calendar.timegm()` always treats a naive datetime as UTC regardless of what timezone the server runs in. Server timezone change is unnecessary and would break OpenAlgo/other services.