How To Find The BEST Entry Zones

Finance-Specific Summary (Orderflow-Based Trade Entry Zones)

The video describes a discretionary orderflow/execution method for identifying “best entry zones” using real order execution data (e.g., delta prints, big trades, fixed profile/volume profile, and deep trades analysis). It emphasizes entries during the London and New York sessions and focuses on zones where aggressive sellers/buyers create or resolve directional imbalance.

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Instruments / Tickers Mentioned

• None explicitly (no stocks, ETFs, FX pairs, crypto, commodities, or bond tickers mentioned in the subtitles).

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Key Framework / Step-by-Step Methodology

1) Locate value using fixed profile / fixed volume analysis

Use fixed profile/volume context to identify:

• Value Area High (VAH)
• Value Area Low (VAL)
• Profile shape inferred from prior swings

2) Confirm the market condition via acceptance / breakout behavior

Look for:

• Breakout beyond a prior level
• Follow-up acceptance after the breakout
  • Example referenced: acceptance after breaking below VAL

3) Identify “best entry zones” with orderflow execution signals

The approach relies on executed-order data rather than candle-only levels, including:

• Delta print
  • Described as showing the exact area based on executed orderflow (not purely technical/candle zones)
• Big trades / aggressive orders
  • Track how aggression interacts with price
• Deep trades / absorption
  • Absorption of buyers by sellers, or vice versa (i.e., who wins the battle in that zone)

4) Map confluence areas

Repeated emphasis on confluence such as:

• VAH/VAL
• Big trades
• A delta pressure level

5) Execution planning and risk handling

Key operational points include:

• Place alerts at the identified zone
• Stop-loss placement is described as protecting above/below the zone
  • Example referenced: “protecting yourself above the area”
• Consider re-entry if price collapses back into the zone
• Use a volume ledge concept (volume node transitions):
  • Identify zones where volume drops rapidly from a high volume node to a low volume node
  • Then drill into what happened there in detail before executing

6) Auction market theory framing

Reversal/entry zones are treated as higher probability when they align with:

• Absorption of aggressive orders
• A shift in orderflow “control”

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Key Scenarios / Recommendations (No Explicit Price Levels)

1) London Session Trade Idea

• The session began with aggression and a breakout of the previous level, creating a trend scenario.
• The speaker did not take the first movement because it occurred before the London opening.
• The second movement was considered clearer:
  • After a breakout/acceptance (specifically after breaking below VAL), the expectation was to seek new balance and direction.

Entry/re-entry logic described:

• Build a dynamic area from prior swing profile where:
  • Delta pressure is visible
  • Big trades support the thesis
• If targeting continued short, “reload” aggressive short positioning from that area
• Add confluence at:
  • VAH + big trades + delta level (“super strong area”)
• When price approached the confluence:
  • Aggressive sellers defended the area
  • The move “collapsed down again”
• A possible re-entry structure is outlined using a “1-2-3 / 1-2-4 / 1-2-5” progression, with stop placement dependent on desired safety.

2) New York Session Trade Idea

• After taking profit on the first leg, the market formed a new dealing range with strong aggression and directional behavior.
• A key zone is identified as a volume ledge:
  • A high volume node to low volume node transition occurs quickly
• The speaker cautions:
  • Don’t trade purely based on the label “volume ledge”
  • Confirm what happened using deep trades
    • Example: sellers winning the battle; buyers’ attempts being absorbed

Pattern and execution approach described:

• A buyer control sequence fails (“failed buyers”), making the situation “super clear”
• This clarity supports placing a limit order prior to a market collapse
• Emphasis is repeatedly placed on timeliness:
  • Signals are described as not delayed
  • They are observed in real time as execution occurs

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Key Numbers / Performance Metrics

• No numeric price targets, yields, multiples, returns, or risk % were provided in the subtitles.
• A structural reference (“1-2-3 / 1-2-4 / 1-2-5”) is mentioned, but no quantified performance metrics are given.

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Disclosures / Cautions

• The speaker frames the process as visualization of real order execution and rejects “conspiracy theory” framing:
  • “no conspiracy theory just visualization of order entering the market”
• No explicit “not financial advice” disclaimer appears in the subtitles provided.

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Presenter / Sources Mentioned

• Presenter: The speaker/creator of the channel (name not stated in the subtitles)
• Platform / Source: Deep Charts (orderflow suite/tool mentioned)
• Educational Offer / Source: Mention of a “one month educational boot camp” tied to joining via their link