Short Trade on MOODENG

The 11 Dec 2025 at 13:34:31

With 12694.4067 MOODENG at 0.08612$ per unit.

Position size of 1093.2423 $

Take profit at 0.08486 (1.46 %) and Stop Loss at 0.08675 (0.73 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.57
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.57
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.311715

15m : 0.088676

1H : 0.141584

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0004201325407
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 0.0860824
  4. ema21 - 0.0869777
  5. ema50 - 0.0883981
  6. ema100 - 0.0894729
  7. price_ema9_diff - 0.000436236
  8. ema9_ema21_diff - -0.010293
  9. ema21_ema50_diff - -0.016069
  10. price_ema100_diff - -0.037474
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.0129697
  14. ema_slope_21 - -0.0376068
  15. ema_slope_50 - -0.0681679
  16. ema_slope_100 - -0.0525285
  17. rsi - 0.460417
  18. adx - 0.197512
  19. kc_percentage - 0.412755
  20. kc_width_percentage - 0.106185
  21. volume_ema_diff - -0.498824
  22. volume_ema1 - 407344.73664479
  23. volume_ema2 - 812779.02493454
  24. chop - 39.9966
  25. regime - bear_high
  26. ¸
  27. 15m
  28. ema9 - 0.08535
  29. ema21 - 0.0855342
  30. ema50 - 0.0862906
  31. ema100 - 0.0867262
  32. price_ema9_diff - 0.00902068
  33. ema9_ema21_diff - -0.00215287
  34. ema21_ema50_diff - -0.00876548
  35. price_ema100_diff - -0.00698999
  36. all_emas_in_trend - True
  37. all_emas_and_price_in_trend - False
  38. ema_slope_9 - -0.0158136
  39. ema_slope_21 - -0.0812024
  40. ema_slope_50 - -0.0722276
  41. ema_slope_100 - -0.0436633
  42. rsi - 0.528515
  43. adx - 0.344407
  44. kc_percentage - 0.666172
  45. kc_width_percentage - 0.043244
  46. volume_ema_diff - -0.577152
  47. volume_ema1 - 58823.6162033
  48. volume_ema2 - 139113.0834551
  49. chop - 63.6872
  50. regime - range_high
  51. ¸
  52. 5m
  53. ema9 - 0.0856394
  54. ema21 - 0.0852516
  55. ema50 - 0.0853391
  56. ema100 - 0.0861118
  57. price_ema9_diff - 0.00561189
  58. ema9_ema21_diff - 0.00454884
  59. ema21_ema50_diff - -0.00102569
  60. price_ema100_diff - 9.49711E-5
  61. all_emas_in_trend - False
  62. all_emas_and_price_in_trend - False
  63. ema_slope_9 - 0.114454
  64. ema_slope_21 - 0.0564483
  65. ema_slope_50 - 0.00488426
  66. ema_slope_100 - -0.0190669
  67. rsi - 0.645703
  68. adx - 0.243629
  69. kc_percentage - 1.04785
  70. kc_width_percentage - 0.0180819
  71. volume_ema_diff - -0.478359
  72. volume_ema1 - 20345.811892182
  73. volume_ema2 - 39003.49718512
  74. chop - 47.9636
  75. regime - range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100: 90036
  80. 5m_price_ema100_diff: 0.00337487
  81. 5m_price: 90339.9
  82. 5m_correlation_with_coin: 0.311715
  83. btc_indicators
  84. 15m_ema100: 90634.2
  85. 15m_price_ema100_diff: -0.00324737
  86. 15m_price: 90339.9
  87. 15m_correlation_with_coin: 0.088676
  88. btc_indicators
  89. 1H_ema100: 90948.5
  90. 1H_price_ema100_diff: -0.00669171
  91. 1H_price: 90339.9
  92. 1H_correlation_with_coin: 0.141584
  93. ¸

📌 Time Data

Start at Closed at Duration
11 Dec 2025
13:34:31
11 Dec 2025
13:40:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08612 0.08675 0.08486 2 0.07474
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 0.08612
  • Stop Loss: 0.08675
  • Take Profit: 0.08486

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08675 - 0.08612 = 0.00062999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08612 - 0.08486 = 0.00126

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00126 / 0.00062999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1093.2423 100 12694.4067 10.93
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 0.00062999999999999

Taille de position = 8 / 0.00062999999999999 = 12698.41

Taille de position USD = 12698.41 x 0.08612 = 1093.59

Donc, tu peux acheter 12698.41 avec un stoploss a 0.08675

Avec un position size USD de 1093.59$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 12698.41 x 0.00062999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 12698.41 x 0.00126 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 12698.41
  • Taille de position USD 1093.59
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.46 % 15.99 $
SL % Target SL $ Target
0.73 % 8 $
PNL PNL %
-8 $ -0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0915 % 149.21 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08486
            [entry_price] => 0.08612
            [stop_loss] => 0.086813
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-11 13:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08486
            [entry_price] => 0.08612
            [stop_loss] => 0.086876
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-11 13:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08486
            [entry_price] => 0.08612
            [stop_loss] => 0.086939
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-11 13:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08486
            [entry_price] => 0.08612
            [stop_loss] => 0.087065
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-11 13:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00053
            [max_drawdown] => 0.00188
            [rr_ratio] => 0.28
            [high] => 0.08800000
            [low] => 0.08559000
            [mfe_pct] => 0.62
            [mae_pct] => 2.18
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 24
            [start_at] => 2025-12-11T13:34:31-05:00
            [end_at] => 2025-12-11T15:34:31-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00122
            [max_drawdown] => 0.00214
            [rr_ratio] => 0.57
            [high] => 0.08826000
            [low] => 0.08490000
            [mfe_pct] => 1.42
            [mae_pct] => 2.48
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 84
            [start_at] => 2025-12-11T13:34:31-05:00
            [end_at] => 2025-12-11T20:34:31-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08640000
            [high_after] => 0.08826000
            [low_before] => 0.08280000
            [low_after] => 0.08559000
            [is_new_high] => 
            [is_new_low] => 
        )

)