Short Trade on MORPHO 03 Nov 2025 at 21:40:26

Take profit at 1.8472 (1.02 %) and Stop Loss at 1.8757 (0.51 %)

Short Trade on MORPHO

The 03 Nov 2025 at 21:40:26

With 843.4778 MORPHO at 1.8662$ per unit.

Position size of 1574.0983 $

Take profit at 1.8472 (1.02 %) and Stop Loss at 1.8757 (0.51 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 7.71
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.76
Prediction 3 Probability
0 0.66
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_low

BTC Correlation Score

5m : 0.626437

15m : -0.036342

1H : -0.038967

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.006323027272
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 1.8481
  4. ema21 : 1.87286
  5. ema50 : 1.92096
  6. ema100 : 1.94643
  7. price_ema9_diff : 0.00979368
  8. ema9_ema21_diff : -0.0132211
  9. ema21_ema50_diff : -0.0250437
  10. price_ema100_diff : -0.0412198
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.296371
  14. ema_slope_21 : -0.314372
  15. ema_slope_50 : -0.219292
  16. ema_slope_100 : -0.126188
  17. rsi : 0.453538
  18. adx : 0.304463
  19. kc_percentage : 0.467185
  20. kc_width_percentage : 0.070197
  21. volume_ema_diff : -0.392176
  22. volume_ema1 : 131777.47499889
  23. volume_ema2 : 216802.03227739
  24. chop : 51.5078
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.85015
  29. ema21 : 1.84129
  30. ema50 : 1.84968
  31. ema100 : 1.88242
  32. price_ema9_diff : 0.00867091
  33. ema9_ema21_diff : 0.00481138
  34. ema21_ema50_diff : -0.00453431
  35. price_ema100_diff : -0.00862038
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.109311
  39. ema_slope_21 : 0.0596583
  40. ema_slope_50 : -0.0125229
  41. ema_slope_100 : -0.0454902
  42. rsi : 0.591584
  43. adx : 0.184692
  44. kc_percentage : 0.950452
  45. kc_width_percentage : 0.0292544
  46. volume_ema_diff : -0.635379
  47. volume_ema1 : 19917.660886325
  48. volume_ema2 : 54625.763445503
  49. chop : 45.096
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 1.86007
  54. ema21 : 1.85333
  55. ema50 : 1.84315
  56. ema100 : 1.83716
  57. price_ema9_diff : 0.00329443
  58. ema9_ema21_diff : 0.00363325
  59. ema21_ema50_diff : 0.00552398
  60. price_ema100_diff : 0.0158045
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0611515
  64. ema_slope_21 : 0.0582247
  65. ema_slope_50 : 0.0428007
  66. ema_slope_100 : 0.0258333
  67. rsi : 0.648054
  68. adx : 0.28904
  69. kc_percentage : 1.0118
  70. kc_width_percentage : 0.0129359
  71. volume_ema_diff : -0.52021
  72. volume_ema1 : 5131.5844225524
  73. volume_ema2 : 10695.48518978
  74. chop : 50.5109
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    106741
  80. 5m_price_ema100_diff:
    0.00128935
  81. 5m_price:
    106879
  82. 5m_correlation_with_coin:
    0.626437
  83. btc_indicators
  84. 15m_ema100:
    107333
  85. 15m_price_ema100_diff:
    -0.00421386
  86. 15m_price:
    106880
  87. 15m_correlation_with_coin:
    -0.036342
  88. btc_indicators
  89. 1H_ema100:
    108623
  90. 1H_price_ema100_diff:
    -0.0160619
  91. 1H_price:
    106879
  92. 1H_correlation_with_coin:
    -0.038967
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
03 Nov 2025
21:40:26
03 Nov 2025
23:10:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8662 1.8757 1.8472 2 1.8534
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 1.8662
  • Stop Loss: 1.8757
  • Take Profit: 1.8472

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8757 - 1.8662 = 0.0094999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8662 - 1.8472 = 0.019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.019 / 0.0094999999999998 = 2

📌 Position Size

Amount Margin Quantity Leverage
1574.0983 100 843.4778 15.74
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 0.0094999999999998

Taille de position = 8 / 0.0094999999999998 = 842.11

Taille de position USD = 842.11 x 1.8662 = 1571.55

Donc, tu peux acheter 842.11 avec un stoploss a 1.8757

Avec un position size USD de 1571.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 842.11 x 0.0094999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 842.11 x 0.019 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 842.11
  • Taille de position USD 1571.55
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.02 % 16.03 $
SL % Target SL $ Target
0.51 % 8.01 $
PNL PNL %
-8.01 $ -0.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5412 % 106.31 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.8472
            [entry_price] => 1.8662
            [stop_loss] => 1.87665
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-03 23:40:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 1.8472
            [entry_price] => 1.8662
            [stop_loss] => 1.8776
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-03 23:40:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 1.8472
            [entry_price] => 1.8662
            [stop_loss] => 1.87855
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-03 23:40:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.8472
            [entry_price] => 1.8662
            [stop_loss] => 1.88045
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-03 23:40:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0216
            [max_drawdown] => 0.0101
            [rr_ratio] => 2.14
            [high] => 1.87630000
            [low] => 1.84460000
            [mfe_pct] => 1.16
            [mae_pct] => 0.54
            [mfe_mae_ratio] => 2.14
            [candles_analyzed] => 24
            [start_at] => 2025-11-03T21:40:26-05:00
            [end_at] => 2025-11-03T23:40:26-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.244
            [max_drawdown] => 0.0101
            [rr_ratio] => 24.16
            [high] => 1.87630000
            [low] => 1.62220000
            [mfe_pct] => 13.07
            [mae_pct] => 0.54
            [mfe_mae_ratio] => 24.16
            [candles_analyzed] => 84
            [start_at] => 2025-11-03T21:40:26-05:00
            [end_at] => 2025-11-04T04:40:26-05:00
        )

    [breakout] => Array
        (
            [high_before] => 1.86860000
            [high_after] => 1.87630000
            [low_before] => 1.80270000
            [low_after] => 1.65340000
            [is_new_high] => 
            [is_new_low] => 1
        )

)