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Short Trade on MOODENG

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Short Trade on MOODENG 22 Sep 2025 at 08:57:03

Take profit at 0.1515 (1.56 %) and Stop Loss at 0.1551 (0.78 %)

Short Trade on MOODENG

The 22 Sep 2025 at 08:57:03

With 6573.9346 MOODENG at 0.1539$ per unit.

Position size of 1011.6628 $

Take profit at 0.1515 (1.56 %) and Stop Loss at 0.1551 (0.78 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 4.03
Prediction Score: 5
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
1 0.65
Prediction 3 Probability
1 0.58
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.788214

15m : 0.051633

1H : -0.065289

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.31
  4. atr: 0.0008112848228
Details
  1. score: 1.31
  2. 1H
  3. ema9 : 0.153232
  4. ema21 : 0.158096
  5. ema50 : 0.165169
  6. ema100 : 0.171559
  7. price_ema9_diff : 0.00429107
  8. ema9_ema21_diff : -0.0307665
  9. ema21_ema50_diff : -0.0428217
  10. price_ema100_diff : -0.102993
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.648356
  14. ema_slope_21 : -0.523156
  15. ema_slope_50 : -0.343547
  16. ema_slope_100 : -0.227149
  17. rsi : 0.335805
  18. adx : 0.619186
  19. kc_percentage : 0.203732
  20. kc_width_percentage : 0.0845708
  21. volume_ema_diff : 0.0235847
  22. volume_ema1 : 1563002.2424949
  23. volume_ema2 : 1526988.586508
  24. chop : 18.8768
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.150965
  28. ema21 : 0.151432
  29. ema50 : 0.154772
  30. ema100 : 0.159247
  31. price_ema9_diff : 0.0193737
  32. ema9_ema21_diff : -0.00308835
  33. ema21_ema50_diff : -0.0215778
  34. price_ema100_diff : -0.0336421
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0187843
  38. ema_slope_21 : -0.106646
  39. ema_slope_50 : -0.144332
  40. ema_slope_100 : -0.125255
  41. rsi : 0.578154
  42. adx : 0.591229
  43. kc_percentage : 0.970622
  44. kc_width_percentage : 0.0351696
  45. volume_ema_diff : -0.164099
  46. volume_ema1 : 383471.83094551
  47. volume_ema2 : 458753.12013248
  48. chop : 51.215
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.151962
  52. ema21 : 0.151014
  53. ema50 : 0.150997
  54. ema100 : 0.152331
  55. price_ema9_diff : 0.012686
  56. ema9_ema21_diff : 0.00627879
  57. ema21_ema50_diff : 0.000109986
  58. price_ema100_diff : 0.0102301
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.131098
  62. ema_slope_21 : 0.0705806
  63. ema_slope_50 : 0.012718
  64. ema_slope_100 : -0.0154672
  65. rsi : 0.722392
  66. adx : 0.355893
  67. kc_percentage : 1.30872
  68. kc_width_percentage : 0.0227805
  69. volume_ema_diff : 0.49103
  70. volume_ema1 : 179780.62548128
  71. volume_ema2 : 120574.71564228
  72. chop : 25.2358
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112932
  77. 5m_price_ema100_diff: 
    -0.0016574
  78. 5m_price: 
    112745
  79. 5m_correlation_with_coin: 
    0.788214
  80. btc_indicators
  81. 15m_ema100: 
    114021
  82. 15m_price_ema100_diff: 
    -0.0126904
  83. 15m_price: 
    112574
  84. 15m_correlation_with_coin: 
    0.051633
  85. btc_indicators
  86. 1H_ema100: 
    115434
  87. 1H_price_ema100_diff: 
    -0.0232888
  88. 1H_price: 
    112745
  89. 1H_correlation_with_coin: 
    -0.065289
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
08:57:03		 22 Sep 2025
09:10:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1539 0.1551 0.1515 2 0.05087
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 0.1539
  • Stop Loss: 0.1551
  • Take Profit: 0.1515

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1551 - 0.1539 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1539 - 0.1515 = 0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0024 / 0.0012 = 2

📌 Position Size

Amount Margin Quantity Leverage
1011.6628 100 6573.9346 10.12
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.1539 = 1026

Donc, tu peux acheter 6666.67 avec un stoploss a 0.1551

Avec un position size USD de 1026$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 1026
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.56 % 15.78 $
SL % Target SL $ Target
0.78 % 7.89 $
PNL PNL %
-7.89 $ -0.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8707 % 111.67 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1515
            [entry_price] => 0.1539
            [stop_loss] => 0.15522
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 09:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1515
            [entry_price] => 0.1539
            [stop_loss] => 0.15534
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 11:15:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1515
            [entry_price] => 0.1539
            [stop_loss] => 0.15546
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 11:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1515
            [entry_price] => 0.1539
            [stop_loss] => 0.1557
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 11:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00201
            [max_drawdown] => 0.00134
            [rr_ratio] => 1.5
            [high] => 0.15524000
            [low] => 0.15189000
            [mfe_pct] => 1.31
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 1.5
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T08:57:03-04:00
            [end_at] => 2025-09-22T10:57:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00631
            [max_drawdown] => 0.00134
            [rr_ratio] => 4.71
            [high] => 0.15524000
            [low] => 0.14759000
            [mfe_pct] => 4.1
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 4.71
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T08:57:03-04:00
            [end_at] => 2025-09-22T15:57:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.15406000
            [high_after] => 0.15524000
            [low_before] => 0.14842000
            [low_after] => 0.14961000
            [is_new_high] => 
            [is_new_low] => 
        )

)