My Signature Orderflow Model

Summary

The presenter explains a proprietary Deep Effort order-flow model designed to identify areas where buying or selling pressure is dominant—the market’s “path of least resistance.” It builds on Volume Spread Analysis (VSA) and the principle of effort versus result: volume reflects trading activity, while price movement shows how much impact that activity had.

• High effort with little price progress can indicate absorption by passive participants and a potential reversal area.
• Similar buying and selling effort but a stronger price move in one direction suggests that the other side is being absorbed, making continuation in the stronger direction more likely.
• The model uses granular order-flow data to filter noise and mark potential trade triggers or retest areas. The presenter says it is intended to complement, not replace, broader market context.

Suggested workflow and trade management

• Establish a directional bias using profile framing or the presenter’s IVB model; the acronym is not defined in the subtitles.
• Prefer Deep Effort signals that agree with that bias, and skip countertrend setups.
• Treat model zones as areas of interest, particularly when price retests them. Some momentum signals may not provide a retest and therefore may not be tradable.
• Use defined stops and accept that some aligned trades will still lose.
• Consider multiple profit targets—for example, take partial profit around 50% of the intended full profit and leave a runner.
• If an opposing signal appears, the presenter says it may indicate that current pressure is weakening and may justify taking profit. He also describes a stop-and-re-entry approach, though the exact placement is unclear in the subtitles.
• Avoid forcing trades: some days may offer no valid setups, and signals outside the preferred session timing may be skipped.

Examples and performance figures

The examples use the Nasdaq during an unspecified week. The presenter says the 26th and 27th had a long bias based on profile framing.

• In one cluster of long-biased setups, he counts 6R in profits and 2R in losses, for a net +4R. Some signals were unfilled and were not counted; the calculation assumes a 1:3 risk-to-reward target for the examples included.
• For another long-biased session, he highlights a retest setup with an approximately 1:3 risk-to-reward outcome.
• In a further session, one setup stopped out before price broke structure. The presenter says he did not take countertrend trades after that break; a later return to the area came too late in the session to trade.
• He cautions that attractive-looking signals may be skipped if they conflict with the day’s bias or fall outside the preferred timing.

The presenter claims the model has undergone extensive quantitative validation, but provides no validation statistics beyond the illustrative R results.

Instruments and concepts mentioned

• Nasdaq (the specific instrument or contract is not identified)
• Order-flow data and volume analysis
• Volume Spread Analysis (VSA)
• Volume profile / profile framing
• IVB model (not expanded in the subtitles)
• Deep Effort, described as a proprietary model available through Deep Charts

Disclosure

No verbal “not financial advice” statement appears in the subtitles. The video description states that the content is for educational and informational purposes, is not financial or investment advice, trading involves substantial risk, and viewers are responsible for their own decisions.

Presenter and sources: Fabervaale (channel: Fabervaale ENG). The presenter says he contributed as an alpha researcher to the Deep Charts research and development program.