Short Trade on MORPHO 22 Sep 2025 at 06:55:31

Take profit at 1.8311 (1.2 %) and Stop Loss at 1.8646 (0.6 %)

Short Trade on MORPHO

The 22 Sep 2025 at 06:55:31

With 716.0838 MORPHO at 1.8534$ per unit.

Position size of 1327.1896 $

Take profit at 1.8311 (1.2 %) and Stop Loss at 1.8646 (0.6 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.62
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
1 0.72
Prediction 3 Probability
0 0.74
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 : 0.818084

15m : 0.045948

1H : 0.047524

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.00744791831
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 1.85615
  4. ema21 : 1.90352
  5. ema50 : 1.96844
  6. ema100 : 2.01867
  7. price_ema9_diff : -0.00148232
  8. ema9_ema21_diff : -0.024888
  9. ema21_ema50_diff : -0.0329816
  10. price_ema100_diff : -0.0818736
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.565885
  14. ema_slope_21 : -0.412806
  15. ema_slope_50 : -0.265077
  16. ema_slope_100 : -0.167548
  17. rsi : 0.33811
  18. adx : 0.502447
  19. kc_percentage : 0.179463
  20. kc_width_percentage : 0.0789298
  21. volume_ema_diff : 0.0719738
  22. volume_ema1 : 415599.44039628
  23. volume_ema2 : 387695.48483522
  24. chop : 9.31779
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.83749
  29. ema21 : 1.84144
  30. ema50 : 1.87376
  31. ema100 : 1.9123
  32. price_ema9_diff : 0.00865352
  33. ema9_ema21_diff : -0.00214535
  34. ema21_ema50_diff : -0.0172449
  35. price_ema100_diff : -0.030802
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0206031
  39. ema_slope_21 : -0.0662566
  40. ema_slope_50 : -0.109536
  41. ema_slope_100 : -0.0928922
  42. rsi : 0.517042
  43. adx : 0.659857
  44. kc_percentage : 0.695279
  45. kc_width_percentage : 0.0354258
  46. volume_ema_diff : -0.703761
  47. volume_ema1 : 33958.79964022
  48. volume_ema2 : 114633.21718383
  49. chop : 63.2263
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 1.84548
  54. ema21 : 1.83789
  55. ema50 : 1.83625
  56. ema100 : 1.84435
  57. price_ema9_diff : 0.00428646
  58. ema9_ema21_diff : 0.00413146
  59. ema21_ema50_diff : 0.000891566
  60. price_ema100_diff : 0.00490664
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.116771
  64. ema_slope_21 : 0.0634425
  65. ema_slope_50 : 0.01826
  66. ema_slope_100 : -0.00269217
  67. rsi : 0.642721
  68. adx : 0.271811
  69. kc_percentage : 1.0109
  70. kc_width_percentage : 0.0159733
  71. volume_ema_diff : -0.408386
  72. volume_ema1 : 16780.622281989
  73. volume_ema2 : 28364.148356116
  74. chop : 28.447
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113084
  80. 5m_price_ema100_diff:
    -0.00257593
  81. 5m_price:
    112793
  82. 5m_correlation_with_coin:
    0.818084
  83. btc_indicators
  84. 15m_ema100:
    114249
  85. 15m_price_ema100_diff:
    -0.0143685
  86. 15m_price:
    112608
  87. 15m_correlation_with_coin:
    0.045948
  88. btc_indicators
  89. 1H_ema100:
    115513
  90. 1H_price_ema100_diff:
    -0.0235458
  91. 1H_price:
    112793
  92. 1H_correlation_with_coin:
    0.047524
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
06:55:31
22 Sep 2025
07:30:00
34 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8534 1.8646 1.8311 1.99 1.7923
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 1.8534
  • Stop Loss: 1.8646
  • Take Profit: 1.8311

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8646 - 1.8534 = 0.0112

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8534 - 1.8311 = 0.0223

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0223 / 0.0112 = 1.9911

📌 Position Size

Amount Margin Quantity Leverage
1327.1896 100 716.0838 13.27
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 0.0112

Taille de position = 8 / 0.0112 = 714.29

Taille de position USD = 714.29 x 1.8534 = 1323.87

Donc, tu peux acheter 714.29 avec un stoploss a 1.8646

Avec un position size USD de 1323.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 714.29 x 0.0112 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 714.29 x 0.0223 = 15.93

Si Take Profit atteint, tu gagneras 15.93$

Résumé

  • Taille de position 714.29
  • Taille de position USD 1323.87
  • Perte potentielle 8
  • Gain potentiel 15.93
  • Risk-Reward Ratio 1.9911

📌 Peformances

TP % Target TP $ Target
1.2 % 15.97 $
SL % Target SL $ Target
0.6 % 8.02 $
PNL PNL %
-8.02 $ -0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.777 % 128.58 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.8311
            [entry_price] => 1.8534
            [stop_loss] => 1.86572
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 07:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.8311
            [entry_price] => 1.8534
            [stop_loss] => 1.86684
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 07:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.8311
            [entry_price] => 1.8534
            [stop_loss] => 1.86796
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 07:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.8311
            [entry_price] => 1.8534
            [stop_loss] => 1.8702
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 07:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0064
            [max_drawdown] => 0.0363
            [rr_ratio] => 0.18
            [high] => 1.88970000
            [low] => 1.84700000
            [mfe_pct] => 0.35
            [mae_pct] => 1.96
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T06:55:31-04:00
            [end_at] => 2025-09-22T08:55:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0302
            [max_drawdown] => 0.0382
            [rr_ratio] => 0.79
            [high] => 1.89160000
            [low] => 1.82320000
            [mfe_pct] => 1.63
            [mae_pct] => 2.06
            [mfe_mae_ratio] => 0.79
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T06:55:31-04:00
            [end_at] => 2025-09-22T13:55:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.85830000
            [high_after] => 1.89160000
            [low_before] => 1.80940000
            [low_after] => 1.83200000
            [is_new_high] => 
            [is_new_low] => 
        )

)