Short Trade on MORPHO 22 Sep 2025 at 07:35:11

Take profit at 1.8452 (1.2 %) and Stop Loss at 1.879 (0.61 %)

Short Trade on MORPHO

The 22 Sep 2025 at 07:35:11

With 710.1119 MORPHO at 1.8677$ per unit.

Position size of 1326.276 $

Take profit at 1.8452 (1.2 %) and Stop Loss at 1.879 (0.61 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.14
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.57
Prediction 2 Probability
1 0.72
Prediction 3 Probability
0 0.54
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 : 0.807354

15m : -0.042211

1H : -0.117266

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.007510553322
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 1.85924
  4. ema21 : 1.90067
  5. ema50 : 1.96503
  6. ema100 : 2.01838
  7. price_ema9_diff : 0.00454747
  8. ema9_ema21_diff : -0.0217978
  9. ema21_ema50_diff : -0.0327518
  10. price_ema100_diff : -0.0746539
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.527162
  14. ema_slope_21 : -0.408772
  15. ema_slope_50 : -0.269721
  16. ema_slope_100 : -0.17386
  17. rsi : 0.37957
  18. adx : 0.509051
  19. kc_percentage : 0.286766
  20. kc_width_percentage : 0.0751023
  21. volume_ema_diff : -0.145996
  22. volume_ema1 : 323133.71921975
  23. volume_ema2 : 378375.04919509
  24. chop : 10.3133
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.84773
  29. ema21 : 1.84562
  30. ema50 : 1.87173
  31. ema100 : 1.90714
  32. price_ema9_diff : 0.0108059
  33. ema9_ema21_diff : 0.00114071
  34. ema21_ema50_diff : -0.0139489
  35. price_ema100_diff : -0.0206816
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0717766
  39. ema_slope_21 : -0.0192699
  40. ema_slope_50 : -0.083224
  41. ema_slope_100 : -0.0786294
  42. rsi : 0.562636
  43. adx : 0.571492
  44. kc_percentage : 0.854982
  45. kc_width_percentage : 0.0339905
  46. volume_ema_diff : -0.637501
  47. volume_ema1 : 39655.743735374
  48. volume_ema2 : 109395.63901796
  49. chop : 53.9209
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 1.85663
  54. ema21 : 1.84834
  55. ema50 : 1.84214
  56. ema100 : 1.84789
  57. price_ema9_diff : 0.00596182
  58. ema9_ema21_diff : 0.00448058
  59. ema21_ema50_diff : 0.00336641
  60. price_ema100_diff : 0.0107156
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0836084
  64. ema_slope_21 : 0.0731325
  65. ema_slope_50 : 0.0357976
  66. ema_slope_100 : 0.00820966
  67. rsi : 0.687029
  68. adx : 0.318673
  69. kc_percentage : 1.13063
  70. kc_width_percentage : 0.0159714
  71. volume_ema_diff : -0.641142
  72. volume_ema1 : 9011.5625354249
  73. volume_ema2 : 25111.786208113
  74. chop : 51.7574
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113057
  80. 5m_price_ema100_diff:
    -0.0026998
  81. 5m_price:
    112752
  82. 5m_correlation_with_coin:
    0.807354
  83. btc_indicators
  84. 15m_ema100:
    114147
  85. 15m_price_ema100_diff:
    -0.0122248
  86. 15m_price:
    112752
  87. 15m_correlation_with_coin:
    -0.042211
  88. btc_indicators
  89. 1H_ema100:
    115478
  90. 1H_price_ema100_diff:
    -0.0236038
  91. 1H_price:
    112752
  92. 1H_correlation_with_coin:
    -0.117266
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
07:35:11
22 Sep 2025
08:05:00
29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8677 1.879 1.8452 1.99 1.7103
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 1.8677
  • Stop Loss: 1.879
  • Take Profit: 1.8452

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.879 - 1.8677 = 0.0113

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8677 - 1.8452 = 0.0225

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0225 / 0.0113 = 1.9912

📌 Position Size

Amount Margin Quantity Leverage
1326.276 100 710.1119 13.26
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 0.0113

Taille de position = 8 / 0.0113 = 707.96

Taille de position USD = 707.96 x 1.8677 = 1322.26

Donc, tu peux acheter 707.96 avec un stoploss a 1.879

Avec un position size USD de 1322.26$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 707.96 x 0.0113 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 707.96 x 0.0225 = 15.93

Si Take Profit atteint, tu gagneras 15.93$

Résumé

  • Taille de position 707.96
  • Taille de position USD 1322.26
  • Perte potentielle 8
  • Gain potentiel 15.93
  • Risk-Reward Ratio 1.9912

📌 Peformances

TP % Target TP $ Target
1.2 % 15.98 $
SL % Target SL $ Target
0.61 % 8.02 $
PNL PNL %
-8.02 $ -0.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8138 % 134.51 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.8452
            [entry_price] => 1.8677
            [stop_loss] => 1.88013
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 08:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.8452
            [entry_price] => 1.8677
            [stop_loss] => 1.88126
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 08:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.8452
            [entry_price] => 1.8677
            [stop_loss] => 1.88239
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 08:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.8452
            [entry_price] => 1.8677
            [stop_loss] => 1.88465
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 08:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00069999999999992
            [max_drawdown] => 0.0239
            [rr_ratio] => 0.03
            [high] => 1.89160000
            [low] => 1.86700000
            [mfe_pct] => 0.04
            [mae_pct] => 1.28
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T07:35:11-04:00
            [end_at] => 2025-09-22T09:35:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0445
            [max_drawdown] => 0.0239
            [rr_ratio] => 1.86
            [high] => 1.89160000
            [low] => 1.82320000
            [mfe_pct] => 2.38
            [mae_pct] => 1.28
            [mfe_mae_ratio] => 1.86
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T07:35:11-04:00
            [end_at] => 2025-09-22T14:35:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.86940000
            [high_after] => 1.89160000
            [low_before] => 1.80940000
            [low_after] => 1.82320000
            [is_new_high] => 
            [is_new_low] => 
        )

)