Short Trade on PYTH 03 Nov 2025 at 22:42:09

Take profit at 0.09515 (0.89 %) and Stop Loss at 0.09642 (0.44 %)

Short Trade on PYTH

The 03 Nov 2025 at 22:42:09

With 18852.2331 PYTH at 0.096$ per unit.

Position size of 1809.8144 $

Take profit at 0.09515 (0.89 %) and Stop Loss at 0.09642 (0.44 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 7.42
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.59
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.52
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_low

BTC Correlation Score

5m : 0.781396

15m : -0.146548

1H : 0.135422

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0002829019412
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.0950442
  4. ema21 : 0.09666
  5. ema50 : 0.100199
  6. ema100 : 0.102268
  7. price_ema9_diff : 0.0100559
  8. ema9_ema21_diff : -0.0167163
  9. ema21_ema50_diff : -0.0353287
  10. price_ema100_diff : -0.0612987
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.282063
  14. ema_slope_21 : -0.352658
  15. ema_slope_50 : -0.275318
  16. ema_slope_100 : -0.165179
  17. rsi : 0.442503
  18. adx : 0.436063
  19. kc_percentage : 0.440593
  20. kc_width_percentage : 0.0875103
  21. volume_ema_diff : -0.573079
  22. volume_ema1 : 107340.1464511
  23. volume_ema2 : 251428.87997105
  24. chop : 35.8694
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0952718
  29. ema21 : 0.0948235
  30. ema50 : 0.0952851
  31. ema100 : 0.0970444
  32. price_ema9_diff : 0.00764247
  33. ema9_ema21_diff : 0.00472833
  34. ema21_ema50_diff : -0.00484427
  35. price_ema100_diff : -0.010763
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.132299
  39. ema_slope_21 : 0.0818093
  40. ema_slope_50 : -0.0048984
  41. ema_slope_100 : -0.0433883
  42. rsi : 0.597887
  43. adx : 0.224829
  44. kc_percentage : 0.930288
  45. kc_width_percentage : 0.0280726
  46. volume_ema_diff : -0.896909
  47. volume_ema1 : 6441.5905054403
  48. volume_ema2 : 62484.938658928
  49. chop : 54.1878
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.095668
  54. ema21 : 0.0953811
  55. ema50 : 0.0948874
  56. ema100 : 0.0944886
  57. price_ema9_diff : 0.00347025
  58. ema9_ema21_diff : 0.00300765
  59. ema21_ema50_diff : 0.005203
  60. price_ema100_diff : 0.0159952
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0429049
  64. ema_slope_21 : 0.0337324
  65. ema_slope_50 : 0.0326288
  66. ema_slope_100 : 0.0233224
  67. rsi : 0.67874
  68. adx : 0.186914
  69. kc_percentage : 1.05893
  70. kc_width_percentage : 0.0111583
  71. volume_ema_diff : -0.223443
  72. volume_ema1 : 6116.4986012099
  73. volume_ema2 : 7876.4349087967
  74. chop : 44.3213
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    106703
  80. 5m_price_ema100_diff:
    0.00315096
  81. 5m_price:
    107040
  82. 5m_correlation_with_coin:
    0.781396
  83. btc_indicators
  84. 15m_ema100:
    107210
  85. 15m_price_ema100_diff:
    -0.00169555
  86. 15m_price:
    107029
  87. 15m_correlation_with_coin:
    -0.146548
  88. btc_indicators
  89. 1H_ema100:
    108636
  90. 1H_price_ema100_diff:
    -0.0146945
  91. 1H_price:
    107040
  92. 1H_correlation_with_coin:
    0.135422
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
03 Nov 2025
22:42:09
03 Nov 2025
23:00:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.096 0.09642 0.09515 2.02 0.0519
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.096
  • Stop Loss: 0.09642
  • Take Profit: 0.09515

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09642 - 0.096 = 0.00042

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.096 - 0.09515 = 0.00085

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00085 / 0.00042 = 2.0238

📌 Position Size

Amount Margin Quantity Leverage
1809.8144 100 18852.2331 18.10
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.00042

Taille de position = 8 / 0.00042 = 19047.62

Taille de position USD = 19047.62 x 0.096 = 1828.57

Donc, tu peux acheter 19047.62 avec un stoploss a 0.09642

Avec un position size USD de 1828.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 19047.62 x 0.00042 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 19047.62 x 0.00085 = 16.19

Si Take Profit atteint, tu gagneras 16.19$

Résumé

  • Taille de position 19047.62
  • Taille de position USD 1828.57
  • Perte potentielle 8
  • Gain potentiel 16.19
  • Risk-Reward Ratio 2.0238

📌 Peformances

TP % Target TP $ Target
0.89 % 16.02 $
SL % Target SL $ Target
0.44 % 7.92 $
PNL PNL %
-7.92 $ -0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.625 % 142.86 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.09515
            [entry_price] => 0.096
            [stop_loss] => 0.096462
            [rr_ratio] => 1.84
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-03 23:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.09515
            [entry_price] => 0.096
            [stop_loss] => 0.096504
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-03 23:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.09515
            [entry_price] => 0.096
            [stop_loss] => 0.096546
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-03 23:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.09515
            [entry_price] => 0.096
            [stop_loss] => 0.09663
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-03 23:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0033
            [max_drawdown] => 0.0011
            [rr_ratio] => 3
            [high] => 0.09710000
            [low] => 0.09270000
            [mfe_pct] => 3.44
            [mae_pct] => 1.15
            [mfe_mae_ratio] => 3
            [candles_analyzed] => 24
            [start_at] => 2025-11-03T22:42:09-05:00
            [end_at] => 2025-11-04T00:42:09-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0056
            [max_drawdown] => 0.0011
            [rr_ratio] => 5.09
            [high] => 0.09710000
            [low] => 0.09040000
            [mfe_pct] => 5.83
            [mae_pct] => 1.15
            [mfe_mae_ratio] => 5.09
            [candles_analyzed] => 84
            [start_at] => 2025-11-03T22:42:09-05:00
            [end_at] => 2025-11-04T05:42:09-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09600000
            [high_after] => 0.09710000
            [low_before] => 0.09300000
            [low_after] => 0.09040000
            [is_new_high] => 
            [is_new_low] => 1
        )

)