Long Trade on MORPHO 10 Sep 2025 at 15:22:00

Take profit at 2.0536 (1.84 %) and Stop Loss at 1.9978 (0.92 %)

Long Trade on MORPHO

The 10 Sep 2025 at 15:22:00

With 429.7143 MORPHO at 2.0164$ per unit.

Position size of 866.476 $

Take profit at 2.0536 (1.84 %) and Stop Loss at 1.9978 (0.92 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.92
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.58
Prediction 3 Probability
1 0.53
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium_confirmed

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium

BTC Correlation Score

5m : 0.319334

15m : 0.084207

1H : -0.003098

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.32
  4. atr: 0.01241134638
Details
  1. score: 2.32
  2. 1H
  3. ema9 : 2.04333
  4. ema21 : 2.01468
  5. ema50 : 1.99161
  6. ema100 : 1.98455
  7. price_ema9_diff : -0.0131833
  8. ema9_ema21_diff : 0.0142196
  9. ema21_ema50_diff : 0.0115873
  10. price_ema100_diff : 0.0160483
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.364863
  14. ema_slope_21 : 0.236326
  15. ema_slope_50 : 0.112559
  16. ema_slope_100 : 0.054713
  17. rsi : 0.518634
  18. adx : 0.256757
  19. kc_percentage : 0.500065
  20. kc_width_percentage : 0.0840805
  21. volume_ema_diff : 1.09793
  22. volume_ema1 : 755678.65336352
  23. volume_ema2 : 360201.59412151
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 2.05571
  28. ema21 : 2.06062
  29. ema50 : 2.03425
  30. ema100 : 2.00561
  31. price_ema9_diff : -0.0191264
  32. ema9_ema21_diff : -0.00238034
  33. ema21_ema50_diff : 0.0129599
  34. price_ema100_diff : 0.00537508
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.183937
  38. ema_slope_21 : 0.0104944
  39. ema_slope_50 : 0.0814909
  40. ema_slope_100 : 0.0706911
  41. rsi : 0.40577
  42. adx : 0.347954
  43. kc_percentage : 0.0549778
  44. kc_width_percentage : 0.0499521
  45. volume_ema_diff : 0.269809
  46. volume_ema1 : 217769.89190946
  47. volume_ema2 : 171498.09130535
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 2.0386
  52. ema21 : 2.05566
  53. ema50 : 2.0651
  54. ema100 : 2.05069
  55. price_ema9_diff : -0.0108935
  56. ema9_ema21_diff : -0.00829533
  57. ema21_ema50_diff : -0.00457396
  58. price_ema100_diff : -0.0167228
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.148837
  62. ema_slope_21 : -0.112036
  63. ema_slope_50 : -0.0482422
  64. ema_slope_100 : -0.0044344
  65. rsi : 0.248902
  66. adx : 0.334138
  67. kc_percentage : -0.321648
  68. kc_width_percentage : 0.023078
  69. volume_ema_diff : 0.590314
  70. volume_ema1 : 121930.59497501
  71. volume_ema2 : 76670.757586131
  72. regime : bear_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113377
  77. 5m_price_ema100_diff:
    -0.000988796
  78. 5m_price:
    113265
  79. 5m_correlation_with_coin:
    0.319334
  80. btc_indicators
  81. 15m_ema100:
    112508
  82. 15m_price_ema100_diff:
    0.0067301
  83. 15m_price:
    113265
  84. 15m_correlation_with_coin:
    0.084207
  85. btc_indicators
  86. 1H_ema100:
    111744
  87. 1H_price_ema100_diff:
    0.0136149
  88. 1H_price:
    113265
  89. 1H_correlation_with_coin:
    -0.003098
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
15:22:00
10 Sep 2025
17:50:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.0164 1.9978 2.0536 2 1.855
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 2.0164
  • Stop Loss: 1.9978
  • Take Profit: 2.0536

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9978 - 2.0164 = -0.0186

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.0164 - 2.0536 = -0.0372

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0372 / -0.0186 = 2

📌 Position Size

Amount Margin Quantity Leverage
866.476 100 429.7143 8.66
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 -0.0186

Taille de position = 8 / -0.0186 = -430.11

Taille de position USD = -430.11 x 2.0164 = -867.27

Donc, tu peux acheter -430.11 avec un stoploss a 1.9978

Avec un position size USD de -867.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -430.11 x -0.0186 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -430.11 x -0.0372 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -430.11
  • Taille de position USD -867.27
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.84 % 15.99 $
SL % Target SL $ Target
0.92 % 7.99 $
PNL PNL %
-7.99 $ -0.92
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9572 % 103.77 % 13

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.0536
            [entry_price] => 2.0164
            [stop_loss] => 1.99594
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 18:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.0536
            [entry_price] => 2.0164
            [stop_loss] => 1.99408
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 18:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.0536
            [entry_price] => 2.0164
            [stop_loss] => 1.99222
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 19:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.0536
            [entry_price] => 2.0164
            [stop_loss] => 1.9885
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 19:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0106
            [max_drawdown] => 0.0118
            [rr_ratio] => 0.9
            [high] => 2.02700000
            [low] => 2.00460000
            [mfe_pct] => 0.53
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 0.9
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T15:22:00-04:00
            [end_at] => 2025-09-10T17:22:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0106
            [max_drawdown] => 0.0313
            [rr_ratio] => 0.34
            [high] => 2.02700000
            [low] => 1.98510000
            [mfe_pct] => 0.53
            [mae_pct] => 1.55
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T15:22:00-04:00
            [end_at] => 2025-09-10T22:22:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.20390000
            [high_after] => 2.02700000
            [low_before] => 2.01640000
            [low_after] => 1.98510000
            [is_new_high] => 
            [is_new_low] => 
        )

)