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Short Trade on MORPHO

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Short Trade on MORPHO 22 Sep 2025 at 06:28:40

Take profit at 1.8307 (1.21 %) and Stop Loss at 1.8643 (0.6 %)

Short Trade on MORPHO

The 22 Sep 2025 at 06:28:40

With 714.9907 MORPHO at 1.8531$ per unit.

Position size of 1324.9493 $

Take profit at 1.8307 (1.21 %) and Stop Loss at 1.8643 (0.6 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.76
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
1 0.67
Prediction 3 Probability
0 0.51
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 : 0.824883

15m : 0.070394

1H : -0.107554

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.3
  4. atr: 0.007459304056
Details
  1. score: 1.3
  2. 1H
  3. ema9 : 1.85609
  4. ema21 : 1.90349
  5. ema50 : 1.96843
  6. ema100 : 2.01867
  7. price_ema9_diff : -0.00161167
  8. ema9_ema21_diff : -0.0249055
  9. ema21_ema50_diff : -0.0329897
  10. price_ema100_diff : -0.0820195
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.566136
  14. ema_slope_21 : -0.412919
  15. ema_slope_50 : -0.265126
  16. ema_slope_100 : -0.167572
  17. rsi : 0.337225
  18. adx : 0.504235
  19. kc_percentage : 0.173681
  20. kc_width_percentage : 0.0779928
  21. volume_ema_diff : -0.00861853
  22. volume_ema1 : 380228.71939628
  23. volume_ema2 : 383534.2235411
  24. chop : 9.28858
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.82648
  28. ema21 : 1.83777
  29. ema50 : 1.87484
  30. ema100 : 1.91388
  31. price_ema9_diff : 0.0145696
  32. ema9_ema21_diff : -0.00614189
  33. ema21_ema50_diff : -0.0197718
  34. price_ema100_diff : -0.0317622
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0475098
  38. ema_slope_21 : -0.110872
  39. ema_slope_50 : -0.130429
  40. ema_slope_100 : -0.101872
  41. rsi : 0.394669
  42. adx : 0.733369
  43. kc_percentage : 0.790101
  44. kc_width_percentage : 0.0308309
  45. volume_ema_diff : -0.707422
  46. volume_ema1 : 36658.263490494
  47. volume_ema2 : 125294.06327285
  48. chop : 85.713
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.83301
  52. ema21 : 1.82901
  53. ema50 : 1.83338
  54. ema100 : 1.8482
  55. price_ema9_diff : 0.0109548
  56. ema9_ema21_diff : 0.00218962
  57. ema21_ema50_diff : -0.00238563
  58. price_ema100_diff : 0.00264813
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0258648
  62. ema_slope_21 : 0.00212895
  63. ema_slope_50 : -0.0164492
  64. ema_slope_100 : -0.025956
  65. rsi : 0.707341
  66. adx : 0.214077
  67. kc_percentage : 1.29707
  68. kc_width_percentage : 0.0162508
  69. volume_ema_diff : -0.591998
  70. volume_ema1 : 12895.518112028
  71. volume_ema2 : 31606.507382008
  72. chop : 28.8719
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113161
  77. 5m_price_ema100_diff: 
    -0.00541732
  78. 5m_price: 
    112548
  79. 5m_correlation_with_coin: 
    0.824883
  80. btc_indicators
  81. 15m_ema100: 
    114302
  82. 15m_price_ema100_diff: 
    -0.0151635
  83. 15m_price: 
    112569
  84. 15m_correlation_with_coin: 
    0.070394
  85. btc_indicators
  86. 1H_ema100: 
    115508
  87. 1H_price_ema100_diff: 
    -0.0256266
  88. 1H_price: 
    112548
  89. 1H_correlation_with_coin: 
    -0.107554
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
06:28:40		 22 Sep 2025
07:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8531 1.8643 1.8307 2 1.782
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 1.8531
  • Stop Loss: 1.8643
  • Take Profit: 1.8307

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8643 - 1.8531 = 0.0112

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8531 - 1.8307 = 0.0224

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0224 / 0.0112 = 2

📌 Position Size

Amount Margin Quantity Leverage
1324.9493 100 714.9907 13.25
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 1.8531 = 1323.65

Donc, tu peux acheter 714.29 avec un stoploss a 1.8643

Avec un position size USD de 1323.65$

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 0.0224 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 714.29
  • Taille de position USD 1323.65
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.21 % 16.02 $
SL % Target SL $ Target
0.6 % 8.01 $
PNL PNL %
-8.01 $ -0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7933 % 131.25 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.8307
            [entry_price] => 1.8531
            [stop_loss] => 1.86542
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 07:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.8307
            [entry_price] => 1.8531
            [stop_loss] => 1.86654
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 07:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.8307
            [entry_price] => 1.8531
            [stop_loss] => 1.86766
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 07:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.8307
            [entry_price] => 1.8531
            [stop_loss] => 1.8699
            [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] => 0.0131
            [max_drawdown] => 0.0366
            [rr_ratio] => 0.36
            [high] => 1.88970000
            [low] => 1.84000000
            [mfe_pct] => 0.71
            [mae_pct] => 1.98
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T06:28:40-04:00
            [end_at] => 2025-09-22T08:28:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0299
            [max_drawdown] => 0.0385
            [rr_ratio] => 0.78
            [high] => 1.89160000
            [low] => 1.82320000
            [mfe_pct] => 1.61
            [mae_pct] => 2.08
            [mfe_mae_ratio] => 0.78
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T06:28:40-04:00
            [end_at] => 2025-09-22T13:28:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.85710000
            [high_after] => 1.89160000
            [low_before] => 1.80940000
            [low_after] => 1.84000000
            [is_new_high] => 
            [is_new_low] => 
        )

)