EGOLDSv4
Sign in
Back to thesis page
Oracle Debate · ywwwf_cfh8ag
KAITO

KAITO

longClosed · Loss

Published 44d ago · conviction 71/100 · live mark $0.46908 (+4.46% / 24h)

Bull vs Bear verdict
Bull case
78
Bull dominant
margin 32 pts
Bear case
46
63%
37%

Direction-aligned thesis. The winning bull case agrees with the published direction (long) — internal coherence is high.

Bull case
Winner
  1. 14h ADX confirms trend strength.
  2. 2Replay supports the live regime read.
  3. 3Candidate quality is 82.2 and the desk still classifies the setup as ready for publication.
  4. 4EMA PULLBACK replay (exact regime) scored 21.3, returned 20.13%, win rate 75.0%.
  5. 5FredAI promotes this setup. EMA PULLBACK is still graded C and warming. Policy confidence 83.5.
  6. 6Historical lane Swing Probe Long still reads constructively: Closed-history edge is weak and has produced too many bad starts, so the desk should demand stronger confirmation.
Bear case
  1. 1ADX is only near 23.5, so the setup still carries meaningful chop risk.
  2. 2The stop band sits near $0.4400, and any failure to move cleanly away from entry should be treated as an early warning.
  3. 3Model risk fallback used after: scheduler fast path.
Trade setup
Conviction
71/100
Entry low
$0.4457
Entry high
$0.4485
Target 1
$0.4550
Target 2
$0.4599
Stop loss
$0.4400
R:R
1.8:1
Timeframe
1-3d
Expires
2026-04-22
Current mark
$0.46908
KAITO · 1h candles · last 121
Entry / Target / Stop overlaid
0.4850.47250.45990.44730.43470.46475/29 13:005/30 19:006/1 01:006/2 07:006/3 13:00
Technical analysis · 4h
Open in Chart Lab
Trend · bearishMomentum · neutralVolatility · normalSMA · death cross
RSI 14
52.9
Neutral
ADX 14
15.5
Weak trend
ATR 14
0.0100
2.15% of price
Bollinger 20 · 2σ
Upper 0.4700
Lower 0.4500
inside
SMA stack
200.4600
500.4700
2000.4800
Outcome
Realized PnL
-2.50%
Peak run
+0.09%
Max adverse
-2.50%
Closed · Loss
How the Oracle Debate works

For every published thesis, EGOLDS independently constructs the strongest bull case and the strongest bear case — both adversarial, both fully data-driven from TA + funding + sentiment + on-chain context. The two cases are scored on argument quality, then a risk layer approves or kills the trade before publication. You see both sides before placing any size. No hidden agenda, no one-sided pitch.