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Short Trade on MOODENG

Short Trade on MOODENG

The 11 Dec 2025 at 13:44:16

With 12245.3182 MOODENG at 0.08683$ per unit.

Position size of 1063.261 $

Take profit at 0.08552 (1.51 %) and Stop Loss at 0.08748 (0.75 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.66
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
1 0.74
Prediction 3 Probability
0 0.5
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 : bull_medium
BTC Correlation Score

5m : 0.377845

15m : 0.079907

1H : 0.01075

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.29
  4. atr: 0.000435540607
Details
  1. score: 1.29
  2. 1H
  3. ema9 - 0.0862244
  4. ema21 - 0.0870422
  5. ema50 - 0.088426
  6. ema100 - 0.0894869
  7. price_ema9_diff - 0.00702297
  8. ema9_ema21_diff - -0.0093956
  9. ema21_ema50_diff - -0.0156488
  10. price_ema100_diff - -0.0296911
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.000755325
  14. ema_slope_21 - -0.0314506
  15. ema_slope_50 - -0.0655646
  16. ema_slope_100 - -0.0512273
  17. rsi - 0.482874
  18. adx - 0.194574
  19. kc_percentage - 0.483436
  20. kc_width_percentage - 0.108081
  21. volume_ema_diff - -0.487888
  22. volume_ema1 - 416803.18995812
  23. volume_ema2 - 813891.78414788
  24. chop - 40.0458
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.085364
  28. ema21 - 0.0855405
  29. ema50 - 0.0862933
  30. ema100 - 0.0867276
  31. price_ema9_diff - 0.0171725
  32. ema9_ema21_diff - -0.00206343
  33. ema21_ema50_diff - -0.00872327
  34. price_ema100_diff - 0.00118068
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0144493
  38. ema_slope_21 - -0.0805884
  39. ema_slope_50 - -0.0719648
  40. ema_slope_100 - -0.0435308
  41. rsi - 0.533651
  42. adx - 0.344407
  43. kc_percentage - 0.855028
  44. kc_width_percentage - 0.0428904
  45. volume_ema_diff - -0.573894
  46. volume_ema1 - 59300.742449967
  47. volume_ema2 - 139169.21595471
  48. chop - 63.6872
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0860017
  52. ema21 - 0.0854917
  53. ema50 - 0.0853888
  54. ema100 - 0.0857569
  55. price_ema9_diff - 0.0096303
  56. ema9_ema21_diff - 0.00596555
  57. ema21_ema50_diff - 0.00120509
  58. price_ema100_diff - 0.0125125
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.144589
  62. ema_slope_21 - 0.0807397
  63. ema_slope_50 - 0.0224536
  64. ema_slope_100 - -0.000991527
  65. rsi - 0.7207
  66. adx - 0.261034
  67. kc_percentage - 1.28649
  68. kc_width_percentage - 0.0192517
  69. volume_ema_diff - -0.507586
  70. volume_ema1 - 17446.4741706
  71. volume_ema2 - 35430.54727024
  72. chop - 36.1531
  73. regime - bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90063.6
  77. 5m_price_ema100_diff: 0.0098456
  78. 5m_price: 90950.4
  79. 5m_correlation_with_coin: 0.377845
  80. btc_indicators
  81. 15m_ema100: 90633.6
  82. 15m_price_ema100_diff: -0.00353723
  83. 15m_price: 90313.1
  84. 15m_correlation_with_coin: 0.079907
  85. btc_indicators
  86. 1H_ema100: 90960.5
  87. 1H_price_ema100_diff: -0.000112034
  88. 1H_price: 90950.4
  89. 1H_correlation_with_coin: 0.01075
    90. ¸

📌 Time Data

Start at Closed at Duration
11 Dec 2025
13:44:16		 11 Dec 2025
14:35:00		 50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08683 0.08748 0.08552 2.02 0.07492
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 0.08683
  • Stop Loss: 0.08748
  • Take Profit: 0.08552

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08748 - 0.08683 = 0.00065

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08683 - 0.08552 = 0.00131

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00131 / 0.00065 = 2.0154

📌 Position Size

Amount Margin Quantity Leverage
1063.261 100 12245.3182 10.63
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 0.00065

Taille de position = 8 / 0.00065 = 12307.69

Taille de position USD = 12307.69 x 0.08683 = 1068.68

Donc, tu peux acheter 12307.69 avec un stoploss a 0.08748

Avec un position size USD de 1068.68$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 12307.69 x 0.00065 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 12307.69 x 0.00131 = 16.12

Si Take Profit atteint, tu gagneras 16.12$

Résumé

  • Taille de position 12307.69
  • Taille de position USD 1068.68
  • Perte potentielle 8
  • Gain potentiel 16.12
  • Risk-Reward Ratio 2.0154

📌 Peformances

TP % Target TP $ Target
1.51 % 16.04 $
SL % Target SL $ Target
0.75 % 7.96 $
PNL PNL %
-7.96 $ -0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9213 % 123.07 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08552
            [entry_price] => 0.08683
            [stop_loss] => 0.087545
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-11 14:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08552
            [entry_price] => 0.08683
            [stop_loss] => 0.08761
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-11 14:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08552
            [entry_price] => 0.08683
            [stop_loss] => 0.087675
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-11 14:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08552
            [entry_price] => 0.08683
            [stop_loss] => 0.087805
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-11 14:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00124
            [max_drawdown] => 0.00117
            [rr_ratio] => 1.06
            [high] => 0.08800000
            [low] => 0.08559000
            [mfe_pct] => 1.43
            [mae_pct] => 1.35
            [mfe_mae_ratio] => 1.06
            [candles_analyzed] => 24
            [start_at] => 2025-12-11T13:44:16-05:00
            [end_at] => 2025-12-11T15:44:16-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00193
            [max_drawdown] => 0.00143
            [rr_ratio] => 1.35
            [high] => 0.08826000
            [low] => 0.08490000
            [mfe_pct] => 2.22
            [mae_pct] => 1.65
            [mfe_mae_ratio] => 1.35
            [candles_analyzed] => 84
            [start_at] => 2025-12-11T13:44:16-05:00
            [end_at] => 2025-12-11T20:44:16-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08706000
            [high_after] => 0.08826000
            [low_before] => 0.08280000
            [low_after] => 0.08559000
            [is_new_high] => 
            [is_new_low] => 
        )

)