Passport #161133 · Jul 20, 2026 · 14:25 UTC · scored as of Oct 6, 2026 · 14:32 UTC
XN@0xnoncesense
Jul 20, 2026 · 14:25 UTC
𝕏 ETHEREUM IS SETTING THE FINAL TRAP BEFORE $7,000.
$ETH hit $1,920 exactly as planned.
The next magnet is $2,000.
That move will look bullish.
It is not.
That is where the trap starts.
My Ethereum roadmap is still clear:
1. $1,800 gets tested first.
2. $2,000 gets tagged next.
3. $2,200 comes if BTC hits $70K.
4. 7 to 10 days of distribution.
5. Final bottom zone: $1,300 to $900.
6. Then the new bull cycle begins.
Target remains $7,000.
Most people will buy the wrong part of this move.
They will call $2,000 strength.
They will call $2,200 confirmation.
I call it exit liquidity.
The real buy zone is not here.
It is $1,300 to $900.
That is where I want ETH.
That is where the crowd will be too scared to touch it.
A wick into the 2022 low zone is still possible.
That will not kill the trend.
It will complete the reset.
Ethereum hate was part of the setup.
It forced retail out before the real opportunity.
The same voices will flip bullish later.
But only after ETH is already far above them.
I warned about the $82K bull trap before it broke.
I warned about the summer drop before it started.
The next call is the biggest one of this cycle.
Turn notifications on before ETH enters the final zone.
Most people will follow too late.
Raw scoring math
score_json
{
"mae": 89.17,
"mfe": 13.63,
"mqs": 0.412663,
"ocs": 0.132587,
"tif": 0,
"mfe_ts": "2026-07-20 14:30:00+00:00",
"abs_mag": 0.019289,
"sigma_d": 0.02743327,
"eval_end": "2026-07-23 19:15:00+00:00",
"magnitude": 0.412663,
"max_close": 1951.25,
"min_close": 1866.36,
"eval_start": "2026-07-20 14:25:46+00:00",
"trigger_p0": null,
"trigger_ts": null,
"active_mode": false,
"score_final": false,
"trigger_hit": null,
"review_flags": {},
"sigma_d_days": 90,
"mew_days_used": 90,
"mqs_raw_ratio": 0.532156,
"target_hit_ts": null,
"accuracy_score": 0.141135,
"activation_price": 1867.28,
"dir_target_score": null,
"candles_evaluated": 308,
"expected_move_mqs": 0.013717,
"scoring_candle_tf": "1w",
"tif_total_aggregated": 2,
"trigger_candle_index": null,
"aggregated_candles_count": 2,
"tif_favorable_aggregated": 0,
"candles_evaluated_aggregated": 2
}