Short Trade on MORPHO 04 Oct 2025 at 09:38:52

Take profit at 1.8468 (1.4 %) and Stop Loss at 1.8863 (0.7 %)

Short Trade on MORPHO

The 04 Oct 2025 at 09:38:52

With 608.0182 MORPHO at 1.8731$ per unit.

Position size of 1138.8788 $

Take profit at 1.8468 (1.4 %) and Stop Loss at 1.8863 (0.7 %)

That's a 1.99 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 90
ML Pullback Score: 10
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.61
Prediction 2 Probability
0 0.4
Prediction 3 Probability
1 0.54
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : bear_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.36332

15m : 0.068061

1H : 0.003891

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.008771667604
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 1.86308
  4. ema21 : 1.88179
  5. ema50 : 1.88931
  6. ema100 : 1.8532
  7. price_ema9_diff : 0.00537281
  8. ema9_ema21_diff : -0.00993923
  9. ema21_ema50_diff : -0.00398296
  10. price_ema100_diff : 0.0107368
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.183826
  14. ema_slope_21 : -0.209453
  15. ema_slope_50 : -0.0830831
  16. ema_slope_100 : 0.00603979
  17. rsi : 0.473321
  18. adx : 0.154598
  19. kc_percentage : 0.452261
  20. kc_width_percentage : 0.0813521
  21. volume_ema_diff : -0.535322
  22. volume_ema1 : 306744.46588846
  23. volume_ema2 : 660123.05740448
  24. chop : 77.198
  25. regime : range_high
  26. ¸
  27. 15m
  28. ema9 : 1.85486
  29. ema21 : 1.8594
  30. ema50 : 1.87129
  31. ema100 : 1.90652
  32. price_ema9_diff : 0.00982861
  33. ema9_ema21_diff : -0.0024406
  34. ema21_ema50_diff : -0.00635309
  35. price_ema100_diff : -0.0175317
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0878285
  39. ema_slope_21 : -0.0512254
  40. ema_slope_50 : -0.0456873
  41. ema_slope_100 : -0.0609025
  42. rsi : 0.498852
  43. adx : 0.109282
  44. kc_percentage : 0.743433
  45. kc_width_percentage : 0.030673
  46. volume_ema_diff : -0.443439
  47. volume_ema1 : 56131.995597632
  48. volume_ema2 : 100855.24348702
  49. chop : 47.9351
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 1.85585
  54. ema21 : 1.85464
  55. ema50 : 1.85922
  56. ema100 : 1.86308
  57. price_ema9_diff : 0.00929047
  58. ema9_ema21_diff : 0.000656373
  59. ema21_ema50_diff : -0.0024639
  60. price_ema100_diff : 0.00537295
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0104685
  64. ema_slope_21 : -0.0152248
  65. ema_slope_50 : -0.020557
  66. ema_slope_100 : -0.0142748
  67. rsi : 0.631523
  68. adx : 0.148051
  69. kc_percentage : 1.0155
  70. kc_width_percentage : 0.0192315
  71. volume_ema_diff : 0.322777
  72. volume_ema1 : 36883.605368876
  73. volume_ema2 : 27883.452326193
  74. chop : 37.1919
  75. regime : range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    122260
  80. 5m_price_ema100_diff:
    0.00109652
  81. 5m_price:
    122394
  82. 5m_correlation_with_coin:
    0.36332
  83. btc_indicators
  84. 15m_ema100:
    121922
  85. 15m_price_ema100_diff:
    0.00339086
  86. 15m_price:
    122336
  87. 15m_correlation_with_coin:
    0.068061
  88. btc_indicators
  89. 1H_ema100:
    119088
  90. 1H_price_ema100_diff:
    0.0277608
  91. 1H_price:
    122394
  92. 1H_correlation_with_coin:
    0.003891
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Oct 2025
09:38:52
04 Oct 2025
10:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8731 1.8863 1.8468 1.99 1.7888
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 1.8731
  • Stop Loss: 1.8863
  • Take Profit: 1.8468

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8863 - 1.8731 = 0.0132

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8731 - 1.8468 = 0.0263

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0263 / 0.0132 = 1.9924

📌 Position Size

Amount Margin Quantity Leverage
1138.8788 100 608.0182 11.39
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 0.0132

Taille de position = 8 / 0.0132 = 606.06

Taille de position USD = 606.06 x 1.8731 = 1135.21

Donc, tu peux acheter 606.06 avec un stoploss a 1.8863

Avec un position size USD de 1135.21$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 606.06 x 0.0132 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 606.06 x 0.0263 = 15.94

Si Take Profit atteint, tu gagneras 15.94$

Résumé

  • Taille de position 606.06
  • Taille de position USD 1135.21
  • Perte potentielle 8
  • Gain potentiel 15.94
  • Risk-Reward Ratio 1.9924

📌 Peformances

TP % Target TP $ Target
1.4 % 15.99 $
SL % Target SL $ Target
0.7 % 8.03 $
PNL PNL %
15.99 $ 1.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.315 % 44.7 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.8467
            [stop_loss] => 1.8863
            [rr_ratio] => 2
            [closed_at] => 2025-10-04 10:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.8401
            [stop_loss] => 1.8863
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-04 10:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.8335
            [stop_loss] => 1.8863
            [rr_ratio] => 3
            [closed_at] => 2025-10-04 10:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.8269
            [stop_loss] => 1.8863
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-04 10:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.8203
            [stop_loss] => 1.8863
            [rr_ratio] => 4
            [closed_at] => 2025-10-04 11:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.8137
            [stop_loss] => 1.8863
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-04 11:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0642
            [max_drawdown] => 0.0059
            [rr_ratio] => 10.88
            [high] => 1.87900000
            [low] => 1.80890000
            [mfe_pct] => 3.43
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 10.88
            [candles_analyzed] => 24
            [start_at] => 2025-10-04T09:38:52-04:00
            [end_at] => 2025-10-04T11:38:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0642
            [max_drawdown] => 0.0059
            [rr_ratio] => 10.88
            [high] => 1.87900000
            [low] => 1.80890000
            [mfe_pct] => 3.43
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 10.88
            [candles_analyzed] => 84
            [start_at] => 2025-10-04T09:38:52-04:00
            [end_at] => 2025-10-04T16:38:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.89900000
            [high_after] => 1.87900000
            [low_before] => 1.83580000
            [low_after] => 1.80890000
            [is_new_high] => 
            [is_new_low] => 1
        )

)