EGOLDSEGOLDSv4
Sign in
Back to library
Thesis · thesis_ms0kt6tv_ek3nlx
PYTH

PYTH

 longWIN 1-3d

Generated 1h ago · 2026-07-25T16:21:10Z · expires 2026-07-27

Conviction
64/100
Bull / Bear
78/25
Analyst scores
Realized PnL
+0.12%
peak +0.14% · MAE +0.12%
R:R
1.8:1
Reward over risk
Post-mortem
LONG · auto-derived

Thesis played out — closed +11.58%.

  • Captured most of the move — exit near the +14.39% peak with minimal giveback.
  • Planned at 1.8:1 reward-to-risk — a favorable payoff structure that paid off this time.

Derived deterministically from stored entry/target/stop levels, peak PnL, and max adverse excursion. No model inference — every line maps to a number in the ledger.

Price levels
Entry low
$0.0425
Entry high
$0.0430
Target 1
$0.0458
Target 2
$0.0477
Stop loss
$0.0400
PYTH · 1h candles · last 121
Entry / Target / Stop overlaid
0.04960.04710.04460.04210.03950.04297/20 17:007/21 23:007/23 05:007/24 11:007/25 17:00
Technical analysis · 4h
Open in Chart Lab
Trend · bearishMomentum · oversoldVolatility · highSMA · golden cross
RSI 14
29.0
Oversold
ADX 14
24.5
Weak trend
ATR 14
0.000000
0.00% of price
Bollinger 20 · 2σ
Upper 0.0500
Lower 0.0400
inside
SMA stack
200.0500
500.0500
2000.0400
PatternsBullish Harami
TA Workspace · PYTH
Full workspace

Candles + Bollinger bands (20·2σ) + SMA 20/50 overlays + price-action arrows (engulf / breakout / reclaim / reject) + support and resistance zones. Toggle layers from the panel controls. For the full workspace with presets and split timeframes, click "Full workspace".

PYTH · 4H4H technical map
Syncing
Layers
Drawing technical layers...
Follow this thesis· pre-filled trade plan
Inputs
Mark $0.042933 · max 5x
$
$
$
$
$
%
x
Trade plan
Position size
36,363.6364 PYTH
$1.55K
Leverage
0.16x
≤ 5x cap
Effective risk
$100.00
1.00% of account
Liq estimate
—
approx · verify on HL
Stop P&L
-$100.00
1.00% of account
R:R potential
1 : 1.80
T2
Scenarios
T1 hit @ 0.0458
+1.11R$110.91(+1.11%)
T2 hit @ 0.0477
+1.80R$180.00(+1.80%)
Stop hit @ 0.04
-1.00R-$100.00(-1.00%)
Open PYTH on HyperliquidSet the side / leverage / order type yourself in HL — this calculator does not auto-execute.
Bull case
  • 1h RSI is hot, but the trend still holds.
  • 1h ADX confirms trend strength.
  • 1d ADX confirms trend strength.
  • Candidate quality is 48.2 and the desk still classifies the setup as cooling down.
  • VOLUME TREND replay (latest asset) scored 18.2, returned 12.24%, win rate 100.0%.
  • FredAI promotes this setup. VOLUME TREND is graded B in current memory. Policy confidence 87.0.
Bear case
  • ADX is only near 24.5, so the setup still carries meaningful chop risk.
  • The stop band sits near $0.0400, and any failure to move cleanly away from entry should be treated as an early warning.
  • This remains a provisional setup, so size should stay lighter and time-to-proof should stay shorter.
Oracle Debate

See the bull vs bear showdown

Side-by-side debate with score visualizer, individual argument cards, and verdict synthesis. The marketing-grade view of how the thesis was built.

Open Oracle Debate
Debate transcript
Commander verdict
defensive

The desk is still defensive here, so the setup only works if invalidation stays tight and follow-through appears quickly. Simulation leadership still looks competitive. Strategy command is defensive.

Final thesis
PYTH Long: defensive command with guarded risk

The desk is still defensive here, so the setup only works if invalidation stays tight and follow-through appears quickly. Simulation leadership still looks competitive. Strategy command is defensive. PYTH cleared the desk in provisional posture, so size should stay smaller and decay should happen faster if follow-through stalls.

Technical analyst memo
Asset
PYTH
Price0.04
Timestamp1784996459191
Indicators
{
  "rsi14": 27.11,
  "macd": {
    "macd": 0,
    "signal": 0,
    "histogram": 0
  },
  "bollingerBands": {
    "upper": 0.05,
    "middle": 0.05,
    "lower": 0.04,
    "width": 15.32
  },
  "sma20": 0.05,
  "sma50": 0.05,
  "sma200": 0.04,
  "ema12": 0.04,
  "ema26": 0.05,
  "atr14": 0,
  "stochastic": {
    "k": 1.81,
    "d": 1.76
  },
  "adx14": 24.52,
  "obv": 192839482
}
Signals
{
  "trend": "bearish",
  "momentum": "oversold",
  "volatility": "high",
  "macdCross": "none",
  "bbPosition": "inside",
  "smaTrend": "golden_cross",
  "patterns": [
    "Bullish Harami"
  ]
}
Composite
{
  "bullScore": 6,
  "bearScore": 8,
  "overallBias": "bear"
}
Timeframes
{
  "15m": {
    "asset": "PYTH",
    "timestamp": 1784996459189,
    "price": 0.0427341,
    "indicators": {
      "rsi14": 33,
      "macd": {
        "macd": 0,
        "signal": 0,
        "histogram": 0
      },
      "bollingerBands": {
        "upper": 0.04,
        "middle": 0.04,
        "lower": 0.04,
        "width": 1.96
      },
      "sma20": 0.04,
      "sma50": 0.04,
      "sma200": 0.05,
      "ema12": 0.04,
      "ema26": 0.04,
      "atr14": 0,
      "stochastic": {
        "k": 12.48,
        "d": 8.36
      },
      "adx14": 35.72,
      "obv": -5576769
    },
    "signals": {
      "trend": "bearish",
      "momentum": "oversold",
      "volatility": "low",
      "macdCross": "none",
      "bbPosition": "inside",
      "smaTrend": "death_cross",
      "patterns": [
        "Bearish Harami",
        "Dragonfly Doji"
      ]
    },
    "composite": {
      "bullScore": 5,
      "bearScore": 8.5,
      "overallBias": "strong_bear"
    }
  },
  "1h": {
    "asset": "PYTH",
    "timestamp": 1784996459189,
    "price": 0.0427341,
    "indicators": {
      "rsi14": 90.58,
      "macd": {
        "macd": 0,
        "signal": 0,
        "histogram": 0
      },
      "bollingerBands": {
        "upper": 0.04,
        "middle": 0.03,
        "lower": 0.03,
        "width": 32.53
      },
      "sma20": 0.03,
      "sma50": 0.03,
      "sma200": 0.03,
      "ema12": 0.03,
      "ema26": 0.03,
      "atr14": 0,
      "stochastic": {
        "k": 57.23,
        "d": 68.51
      },
      "adx14": 23.77,
      "obv": -1839981
    },
    "signals": {
      "trend": "bullish",
      "momentum": "overbought",
      "volatility": "high",
      "macdCross": "none",
      "bbPosition": "above_upper",
      "smaTrend": "death_cross",
      "patterns": []
    },
    "composite": {
      "bullScore": 8,
      "bearScore": 7,
      "overallBias": "bull"
    }
  },
  "4h": {
    "asset": "PYTH",
    "timestamp": 1784996459190,
    "price": 0.0427341,
    "indicators": {
      "rsi14": 27.11,
      "macd": {
        "macd": 0,
        "signal": 0,
        "histogram": 0
      },
      "bollingerBands": {
        "upper": 0.05,
        "middle": 0.05,
        "lower": 0.04,
        "width": 15.32
      },
      "sma20": 0.05,
      "sma50": 0.05,
      "sma200": 0.04,
      "ema12": 0.04,
      "ema26": 0.05,
      "atr14": 0,
      "stochastic": {
        "k": 1.81,
        "d": 1.76
      },
      "adx14": 24.52,
      "obv": 192839482
    },
    "signals": {
      "trend": "bearish",
      "momentum": "oversold",
      "volatility": "high",
      "macdCross": "none",
      "bbPosition": "inside",
      "smaTrend": "golden_cross",
      "patterns": [
        "Bullish Harami"
      ]
    },
    "composite": {
      "bullScore": 6,
      "bearScore": 8,
      "overallBias": "bear"
    }
  },
  "1d": {
    "asset": "PYTH",
    "timestamp": 1784996459191,
    "price": 0.0427341,
    "indicators": {
      "rsi14": 44.92,
      "macd": {
        "macd": 0,
        "signal": 0,
        "histogram": 0
      },
      "bollingerBands": {
        "upper": 0.05,
        "middle": 0.05,
        "lower": 0.04,
        "width": 17.38
      },
      "sma20": 0.05,
      "sma50": 0.04,
      "sma200": 0.05,
      "ema12": 0.05,
      "ema26": 0.04,
      "atr14": 0,
      "stochastic": {
        "k": 0.92,
        "d": 9.5
      },
      "adx14": 40.55,
      "obv": 286141406
    },
    "signals": {
      "trend": "neutral",
      "momentum": "oversold",
      "volatility": "high",
      "macdCross": "none",
      "bbPosition": "inside",
      "smaTrend": "death_cross",
      "patterns": []
    },
    "composite": {
      "bullScore": 5,
      "bearScore": 5.5,
      "overallBias": "neutral"
    }
  }
}
Sentiment analyst memo
Funding Rate0.00
Cross Venue Funding
{
  "venues": 3,
  "spreadBps": 0.5,
  "maxBps": 1,
  "minBps": 0.5,
  "byVenue": [
    {
      "venue": "hyperliquid",
      "bps": 1
    },
    {
      "venue": "binance",
      "bps": 0.5
    },
    {
      "venue": "aster",
      "bps": 0.5
    }
  ]
}
Open Interest1512708.18
Cross Venue Price
{
  "venues": 3,
  "spreadBps": 1391.7,
  "agrees": false,
  "byVenue": [
    {
      "venue": "aster",
      "px": 0.0427341
    },
    {
      "venue": "hyperliquid",
      "px": 0.04267
    },
    {
      "venue": "binance",
      "px": 0.04890061
    }
  ]
}
Price0.04
Risk officer memo
Approvedyes
Risk rating
high
Max position %1.80
Leverage1
Stop loss0.04
Take profit0.05
Risk:Reward
1.8:1
Max drawdown %6.40
Warnings
  • ATR missing; using Bollinger range as volatility proxy.
  • RSI 27.1 is stretched; follow-through may fade quickly.
  • Model risk fallback used after: scheduler fast path
Adjustments
Deterministic fallback risk for PYTH; keep size conservative until model risk manager confirms the setup.
Directional decision
Direction
long
Spread19.75
Dominant Conviction78
Threshold10
Calibrated debate
Bull Conviction78
Bear Conviction25
Notes
  • Scheduler fast path used deterministic thesis synthesis to preserve execution speed.
  • Fast-path direction gate: strategy_commander_conflict at 38.
  • Strategy commander: Strategy lab is weak here, so AI should stay defensive.
  • Strategy lab: Strategy lab is warming and should support only measured AI command while the winner stabilizes.
  • Live learning: Recent thesis reached the first target cleanly; the desk can recycle the asset after a short reset.
  • FredAI promote state
  • Strategy commander conflicts with the desk direction
  • VOLUME_TREND is graded B in current memory
  • replay remains supportive with score 18.2
  • LONG desk bias has 79 confidence
  • setup remains in cooldown
FredAI policy
State
promote
Score87
Conviction Adjustment6
Risk Adjustment2
Confidence78.90
Reasons
  • VOLUME_TREND is graded B in current memory
  • replay remains supportive with score 18.2
  • LONG desk bias has 79 confidence
  • setup remains in cooldown
Note
FredAI promotes this setup. VOLUME_TREND is graded B in current memory. Policy confidence 87.0.
Live-learning brain
State
cooling
Score-2.90
Note
Recent thesis reached the first target cleanly; the desk can recycle the asset after a short reset.
Strategy commander brain
State
cautious
Score41
Note
Strategy lab is weak here, so AI should stay defensive.
Strategy lab brain
State
warming
Evidence Grade
C
Note
Strategy lab is warming and should support only measured AI command while the winner stabilizes.
Market snapshot at generation
Mark price
$0.0427
Funding rate
0.0013%
Open interest
$1.5M
Macro regime
balanced_drift_bear_lowvol
Replay regime
balanced_drift_bear_lowvol
Replay strategy
VOLUME_TREND · latest_asset
FredAI policy
promote
Strategy command
cautious
Strategy lab
warming
Desk posture
provisional
Brain mode
fast
See PYTH chart with overlay More thesesAll PYTH theses
PYTH LONG thesis · WIN · +11.58% — EGOLDS · EGOLDS