INNER CODE UNIT · Python

expected

aaryansinha16/AI-trader · backend/app.py:493

                            expected = max(1, int((end_dt - day_start).total_seconds() / 60))
                            if cnt < expected * 0.5:
                                try:
                                    ob = td_bf.fetch_historical_bars(sym, day_start, end_dt, interval="1min")
                                    if not ob.empty:
                                        for col in ["vwap", "oi"]:
                                            if col not in ob.columns:
                                                ob[col] = 0
                                        ob = ob[["timestamp", "symbol", "open", "high", "low", "close", "volume", "vwap", "oi"]]
                                        _upsert(ob)
                                        logger.info(f"Startup backfill {sym}: {len(ob)} bars")
                                    _time.sleep(1.1)
                                except Exception as e:
                                    logger.warning(f"Startup backfill {sym}: {e}")
            # ── Tick backfill (NIFTY-I only — 5-day REST window) ──────────────
            # Mirrors the candle backfill: fills tick gaps from 09:15 onwards
            # so the live chart and micro features have continuous data.
            try:

View source record →

📰 Research Paper
Loading…
⏳ Fetching content…