Short Trade on MOODENG

The 10 Dec 2025 at 23:58:20

With 13002.0798 MOODENG at 0.08612$ per unit.

Position size of 1119.7391 $

Take profit at 0.08489 (1.43 %) and Stop Loss at 0.08674 (0.72 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.09
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
1 0.52
Prediction 3 Probability
0 0.78
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.585574

15m : 0.053211

1H : -0.014615

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0004101907859
Details
  1. score: 1
  2. 1H
  3. ema9 - 0.0866687
  4. ema21 - 0.0877888
  5. ema50 - 0.0899993
  6. ema100 - 0.0936591
  7. price_ema9_diff - -0.00633145
  8. ema9_ema21_diff - -0.0127595
  9. ema21_ema50_diff - -0.0245611
  10. price_ema100_diff - -0.0804951
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -0.0916859
  14. ema_slope_21 - -0.141178
  15. ema_slope_50 - -0.151392
  16. ema_slope_100 - -0.14904
  17. rsi - 0.41111
  18. adx - 0.221847
  19. kc_percentage - 0.300131
  20. kc_width_percentage - 0.0920251
  21. volume_ema_diff - -0.538349
  22. volume_ema1 - 407956.168227
  23. volume_ema2 - 883690.03489979
  24. chop - 42.5952
  25. regime - bear_high
  26. ¸
  27. 15m
  28. ema9 - 0.0853062
  29. ema21 - 0.0860215
  30. ema50 - 0.0870533
  31. ema100 - 0.08815
  32. price_ema9_diff - 0.00953902
  33. ema9_ema21_diff - -0.00831482
  34. ema21_ema50_diff - -0.0118533
  35. price_ema100_diff - -0.0230299
  36. all_emas_in_trend - True
  37. all_emas_and_price_in_trend - False
  38. ema_slope_9 - -0.188585
  39. ema_slope_21 - -0.172716
  40. ema_slope_50 - -0.107874
  41. ema_slope_100 - -0.074572
  42. rsi - 0.415284
  43. adx - 0.327433
  44. kc_percentage - 0.548995
  45. kc_width_percentage - 0.0366207
  46. volume_ema_diff - -0.383428
  47. volume_ema1 - 67824.496594507
  48. volume_ema2 - 110002.61713574
  49. chop - 45.3946
  50. regime - bear_high
  51. ¸
  52. 5m
  53. ema9 - 0.0855239
  54. ema21 - 0.0853235
  55. ema50 - 0.0858598
  56. ema100 - 0.0869604
  57. price_ema9_diff - 0.0069697
  58. ema9_ema21_diff - 0.00234845
  59. ema21_ema50_diff - -0.00624585
  60. price_ema100_diff - -0.00966526
  61. all_emas_in_trend - False
  62. all_emas_and_price_in_trend - False
  63. ema_slope_9 - 0.073646
  64. ema_slope_21 - 0.01226
  65. ema_slope_50 - -0.0340666
  66. ema_slope_100 - -0.0441394
  67. rsi - 0.642645
  68. adx - 0.233196
  69. kc_percentage - 1.00303
  70. kc_width_percentage - 0.0184482
  71. volume_ema_diff - -0.401203
  72. volume_ema1 - 18480.14962958
  73. volume_ema2 - 30862.137972536
  74. chop - 39.4195
  75. regime - range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100: 91089.7
  80. 5m_price_ema100_diff: -0.00719929
  81. 5m_price: 90434
  82. 5m_correlation_with_coin: 0.585574
  83. btc_indicators
  84. 15m_ema100: 91745.7
  85. 15m_price_ema100_diff: -0.0166066
  86. 15m_price: 90222.2
  87. 15m_correlation_with_coin: 0.053211
  88. btc_indicators
  89. 1H_ema100: 91189.9
  90. 1H_price_ema100_diff: -0.00828929
  91. 1H_price: 90434
  92. 1H_correlation_with_coin: -0.014615
  93. ¸

📌 Time Data

Start at Closed at Duration
10 Dec 2025
23:58:20
11 Dec 2025
02:35:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08612 0.08674 0.08489 1.98 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 0.08612
  • Stop Loss: 0.08674
  • Take Profit: 0.08489

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08674 - 0.08612 = 0.00062

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08612 - 0.08489 = 0.00123

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00123 / 0.00062 = 1.9839

📌 Position Size

Amount Margin Quantity Leverage
1119.7391 100 13002.0798 11.20
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 0.00062

Taille de position = 8 / 0.00062 = 12903.23

Taille de position USD = 12903.23 x 0.08612 = 1111.23

Donc, tu peux acheter 12903.23 avec un stoploss a 0.08674

Avec un position size USD de 1111.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 12903.23 x 0.00062 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 12903.23 x 0.00123 = 15.87

Si Take Profit atteint, tu gagneras 15.87$

Résumé

  • Taille de position 12903.23
  • Taille de position USD 1111.23
  • Perte potentielle 8
  • Gain potentiel 15.87
  • Risk-Reward Ratio 1.9839

📌 Peformances

TP % Target TP $ Target
1.43 % 15.99 $
SL % Target SL $ Target
0.72 % 8.06 $
PNL PNL %
-8.06 $ -0.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0451 % 145.17 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08489
            [entry_price] => 0.08612
            [stop_loss] => 0.086802
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-11 02:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08489
            [entry_price] => 0.08612
            [stop_loss] => 0.086864
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-11 02:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08489
            [entry_price] => 0.08612
            [stop_loss] => 0.086926
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-11 02:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08489
            [entry_price] => 0.08612
            [stop_loss] => 0.08705
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-11 02:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00121
            [max_drawdown] => 3.0000000000002E-5
            [rr_ratio] => 40.33
            [high] => 0.08615000
            [low] => 0.08491000
            [mfe_pct] => 1.41
            [mae_pct] => 0.03
            [mfe_mae_ratio] => 40.33
            [candles_analyzed] => 24
            [start_at] => 2025-12-10T23:58:20-05:00
            [end_at] => 2025-12-11T01:58:20-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00121
            [max_drawdown] => 0.00816
            [rr_ratio] => 0.15
            [high] => 0.09428000
            [low] => 0.08491000
            [mfe_pct] => 1.41
            [mae_pct] => 9.48
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 84
            [start_at] => 2025-12-10T23:58:20-05:00
            [end_at] => 2025-12-11T06:58:20-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08764000
            [high_after] => 0.09428000
            [low_before] => 0.08371000
            [low_after] => 0.08491000
            [is_new_high] => 
            [is_new_low] => 
        )

)