Prediction Case File
YouTubeEvaluation Complete

This video breaks down the exact Smart Money Concepts trade model I use to execute real trades—step by step, with no hindsight or guesswork.

1 extracted signal · 1 resolved · 0 still active

Justin Bennett profile imageJustin BennettIndependent analyst profile
Source published
06 Feb 2026, 01:57 UTC
Recorded by Tahlil Plus
18 May 2026, 20:24 UTC
Video preview for This video breaks down the exact Smart Money Concepts trade model I use to execute real trades—step by step, with no hindsight or guesswork.
Source overview

AI-generated source summary

The analysis focuses on the NZDUSD pair, identifying a bearish market sentiment based on structural breaks and price action. The trader details the process of identifying potential short entries within optimal trade entry (OTE) zones, specifically targeting areas between the 62% and 79% Fibonacci retracement levels, especially when they align with imbalances. The strategy emphasizes waiting for confirmation before entering trades and managing risk by setting stop-loss orders above key high points. The video also highlights the importance of recognizing and reacting to market structure changes, such as breaks of structure (BOS) and changes of character (CHOCH), to dictate trading direction.

AI-generated summary based on the source content.

Live evaluation

Signal outcomes at a glance

Evaluation Complete
Signals
1
Extracted from this source
Open
0
Still being tracked
Successful
0
Resolved successfully
Failed
1
Resolved unsuccessfully
Other
0
Cancelled, invalid or excluded
Resolved success
0%
1 resolved; open signals omitted
Extracted intelligence

Signals in this source

Case timeline

Evidence and evaluation progress

  1. Original source published

    The analyst published the original source item.

  2. First prediction resolved

    The first evaluable outcome in this case reached a terminal result.

  3. Case evaluation completed

    All evaluable predictions in this case reached terminal outcomes.

  4. Source recorded by Tahlil Plus

    The public source was preserved as the evidence record for this case.

  5. Market predictions extracted

    1 eligible signal linked to this case.

  6. Outcome tracking started

    Tahlil Plus began monitoring the extracted predictions.

Analyst snapshot

Justin Bennett

Platform-wide history, separate from this source evaluation.

Reliability
53.9
Tracked signals
393
Historical success
43.1%
View full analyst profile →
Methodology & disclosure

Tahlil Plus independently records and evaluates public market predictions. Extraction may be AI-assisted and results follow the Tahlil Plus methodology. This information is not financial advice.

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