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Oracle Debate · hq3rz_w51j34
FARTCOIN

FARTCOIN

longExpired · Neutral

Published 94d ago · conviction 74/100 · live mark $0.13102 (-2.51% / 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. 21h ADX confirms trend strength.
  3. 3Replay supports the live regime read.
  4. 4Candidate quality is 124.6 and the desk still classifies the setup as ready for publication.
  5. 5BOLLINGER REVERSAL replay (exact regime) scored 25.3, returned 11.88%, win rate 100.0%.
  6. 6FredAI promotes this setup. BOLLINGER REVERSAL is graded B in current memory. Policy confidence 100.0.
Bear case
  1. 1ADX is near 26.5, so trend force is present but follow-through still needs monitoring.
  2. 2The stop band sits near $0.1900, 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
74/100
Entry low
$0.1942
Entry high
$0.1964
Target 1
$0.2019
Target 2
$0.2059
Stop loss
$0.1900
R:R
2.0:1
Timeframe
1-3d
Expires
2026-04-18
Current mark
$0.13102
FARTCOIN · 1h candles · last 121
Entry / Target / Stop overlaid
0.20980.18820.16650.14480.12320.1317/13 20:007/15 02:007/16 08:007/17 14:007/18 20:00
Technical analysis · 4h
Open in Chart Lab
Trend · bearishMomentum · neutralVolatility · highSMA · golden cross
RSI 14
36.2
Bearish
ADX 14
22.4
Weak trend
ATR 14
0.000000
0.00% of price
Bollinger 20 · 2σ
Upper 0.1500
Lower 0.1200
inside
SMA stack
200.1400
500.1400
2000.1400
PatternsBullish Marubozu
Outcome
Realized PnL
-2.05%
Peak run
+0.26%
Max adverse
-2.05%
Expired · Neutral
Drill into the call
FARTCOIN chart + overlayFull thesis · market snapshotAll FARTCOIN theses
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.