Summary of "What Is BIAS? In SMC/ICT | HINDI | BANKNIFTY| LECTURE~9"

Video focus

Price/time bias in SMC/ICT trading (Bank Nifty / Nifty). Covers how to find market direction using a top‑down timeframe approach, liquidity concepts (order blocks, fair value gaps, mitigation/breaker blocks, volume imbalance), and how to build a dealing range to trade with the institutional bias.

Tickers / assets / instruments mentioned

Framework / methodology (step‑by‑step)

  1. Top‑down Time & Price Theory (use these frames in order)

    • Monthly = Macro institutional level
    • Weekly = Intermediate institutional level
    • Daily = Short‑term institutional level
    • Workflow: determine bias on the higher timeframe first, then move down to weekly → daily → 15‑min to find entries. Do not start on a lower timeframe and work up.
  2. Monthly / weekly / daily opening rule (simple bias rule)

    • If monthly candle is bullish: look to buy below the monthly opening; sell above the opening for booking. Use lower TFs to find entries.
    • If monthly candle is bearish: look to sell above the monthly opening and buy to cover at the month low.
    • Same logic applies to weekly and daily institutional levels.
  3. Recognize daily candle shapes and implications

    • OHLC (Open → High → Low → Close) vs OLHC (Open → Low → High → Close) patterns can indicate fake momentum then real momentum — useful to discern intraday momentum vs trap.
    • Expansion / large displacement candles often follow a liquidity trap/tap.
  4. Identify institutional footprints (trade setup inputs)

    • Fair value gaps (FVG / FPG)
    • Order blocks (advance order blocks, mitigation blocks)
    • Breaker blocks, rejection blocks, vacuum blocks
    • Volume imbalance / volume balance
    • Liquidity pools: previous day high/low, previous week high/low, swing highs/lows, equal highs/lows
  5. Daily bias rules using liquidity grabs (cookbook)

    • If previous‑day high liquidity was grabbed (swept), next day bias often becomes downside hunting that high.
    • If previous‑day low liquidity was grabbed, next day bias often becomes upside hunting that low.
    • A close below/above the grabbed area in continuation reinforces the continuation bias for the following day.
    • Use gap openings and “flat” openings + first fake momentum to determine real direction at 9:15.
  6. Dealing range construction and usage

    • A dealing range forms after both buy‑side and sell‑side liquidity hunts, resulting in a range/lag.
    • Identify the discount zone (lower end) and premium zone (upper end) inside the dealing range.
    • Trade:
      • Buy in the discount zone and sell at the premium zone (if bias is long).
      • Sell at the premium and buy back at the discount (if bias is short).
    • If structure shows buy‑side hunted first then sell‑side (or vice versa), mark the range from the first pivot to the last. Order blocks and volume balance inside the range provide entries.
  7. Entry confirmation & execution

    • Prefer entries where multiple tools overlap (e.g., FVG + order block + volume imbalance + equal high/low liquidity).
    • Use higher‑to‑lower TF confirmation: identify a zone on monthly/weekly, then refine entry on daily/15‑min.
    • Set stop loss and targets per defined order block / liquidity targets (equal highs or volume balance targets).

Key numbers, levels and examples

How to interpret liquidity grabs (practical rules)

Practical trade planning points

Entry quality and risk controls

Performance / claims / disclosures

Tools / channels mentioned for live trading & learning

Limitations / caveats from the lecture

Explicit recommendations and cautions

Short summary

Find institutional bias using Time & Price theory (monthly → weekly → daily), then trade lower‑TF setups that align with that bias. Use liquidity concepts (FVG, order/mitigation/breaker blocks, volume imbalance, previous day/week highs/lows) to time entries and targets. Construct dealing ranges by identifying buy‑side and sell‑side liquidity hunts and trade discount/premium zones inside those ranges. Favor higher‑TF confirmation and combine multiple tools for higher probability trades, while validating sources and managing risk.

Presenters / sources mentioned

Category ?

Finance


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