Long Trade on 1000000MOG 13 Sep 2025 at 10:17:22

Take profit at 1.0734 (2.03 %) and Stop Loss at 1.0413 (1.02 %)

Long Trade on 1000000MOG

The 13 Sep 2025 at 10:17:22

With 747.3846 1000000MOG at 1.052$ per unit.

Position size of 786.2486 $

Take profit at 1.0734 (2.03 %) and Stop Loss at 1.0413 (1.02 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.37
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.56
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium

BTC Correlation Score

5m : 0.205772

15m : 0.134895

1H : 0.001712

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.007135996128
Details
  1. score: 2.02
  2. 1H
  3. ema9 : 1.06031
  4. ema21 : 1.03911
  5. ema50 : 0.99851
  6. ema100 : 0.969065
  7. price_ema9_diff : -0.00783826
  8. ema9_ema21_diff : 0.0204016
  9. ema21_ema50_diff : 0.0406615
  10. price_ema100_diff : 0.0855818
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.386518
  14. ema_slope_21 : 0.413481
  15. ema_slope_50 : 0.331822
  16. ema_slope_100 : 0.217426
  17. rsi : 0.600162
  18. adx : 0.484372
  19. kc_percentage : 0.643297
  20. kc_width_percentage : 0.0732415
  21. volume_ema_diff : 0.189136
  22. volume_ema1 : 282475.05936356
  23. volume_ema2 : 237546.35577284
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 1.06661
  28. ema21 : 1.0687
  29. ema50 : 1.05605
  30. ema100 : 1.03112
  31. price_ema9_diff : -0.0137017
  32. ema9_ema21_diff : -0.00195512
  33. ema21_ema50_diff : 0.0119765
  34. price_ema100_diff : 0.0202427
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.051287
  38. ema_slope_21 : 0.0222476
  39. ema_slope_50 : 0.0761367
  40. ema_slope_100 : 0.0907663
  41. rsi : 0.413993
  42. adx : 0.309416
  43. kc_percentage : 0.147675
  44. kc_width_percentage : 0.0455678
  45. volume_ema_diff : 0.519296
  46. volume_ema1 : 113790.34419668
  47. volume_ema2 : 74896.742911944
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 1.06009
  52. ema21 : 1.06824
  53. ema50 : 1.07104
  54. ema100 : 1.06685
  55. price_ema9_diff : -0.00763465
  56. ema9_ema21_diff : -0.00763443
  57. ema21_ema50_diff : -0.0026093
  58. price_ema100_diff : -0.0139239
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.134346
  62. ema_slope_21 : -0.0627089
  63. ema_slope_50 : -0.0172618
  64. ema_slope_100 : 0.00360899
  65. rsi : 0.318062
  66. adx : 0.297594
  67. kc_percentage : -0.0184761
  68. kc_width_percentage : 0.029134
  69. volume_ema_diff : 0.284489
  70. volume_ema1 : 43221.775356624
  71. volume_ema2 : 33648.988712377
  72. regime : bear_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115838
  77. 5m_price_ema100_diff:
    -0.000274147
  78. 5m_price:
    115806
  79. 5m_correlation_with_coin:
    0.205772
  80. btc_indicators
  81. 15m_ema100:
    115711
  82. 15m_price_ema100_diff:
    0.000820303
  83. 15m_price:
    115806
  84. 15m_correlation_with_coin:
    0.134895
  85. btc_indicators
  86. 1H_ema100:
    114510
  87. 1H_price_ema100_diff:
    0.0113151
  88. 1H_price:
    115806
  89. 1H_correlation_with_coin:
    0.001712
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
10:17:22
13 Sep 2025
12:40:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.052 1.0413 1.0734 2 0.1525
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 1.052
  • Stop Loss: 1.0413
  • Take Profit: 1.0734

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0413 - 1.052 = -0.0107

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.052 - 1.0734 = -0.0214

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0214 / -0.0107 = 2

📌 Position Size

Amount Margin Quantity Leverage
786.2486 100 747.3846 7.86
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 -0.0107

Taille de position = 8 / -0.0107 = -747.66

Taille de position USD = -747.66 x 1.052 = -786.54

Donc, tu peux acheter -747.66 avec un stoploss a 1.0413

Avec un position size USD de -786.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -747.66 x -0.0107 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -747.66 x -0.0214 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -747.66
  • Taille de position USD -786.54
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.03 % 15.99 $
SL % Target SL $ Target
1.02 % 8 $
PNL PNL %
-8 $ -1.02
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4259 % 140.19 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0734
            [entry_price] => 1.052
            [stop_loss] => 1.04023
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 12:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0734
            [entry_price] => 1.052
            [stop_loss] => 1.03916
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 12:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0734
            [entry_price] => 1.052
            [stop_loss] => 1.03809
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 12:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0734
            [entry_price] => 1.052
            [stop_loss] => 1.03595
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 12:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0195
            [max_drawdown] => 0.0077
            [rr_ratio] => 2.53
            [high] => 1.07150000
            [low] => 1.04430000
            [mfe_pct] => 1.85
            [mae_pct] => 0.73
            [mfe_mae_ratio] => 2.53
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T10:17:22-04:00
            [end_at] => 2025-09-13T12:17:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0195
            [max_drawdown] => 0.0343
            [rr_ratio] => 0.57
            [high] => 1.07150000
            [low] => 1.01770000
            [mfe_pct] => 1.85
            [mae_pct] => 3.26
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T10:17:22-04:00
            [end_at] => 2025-09-13T17:17:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.09720000
            [high_after] => 1.07150000
            [low_before] => 1.04420000
            [low_after] => 1.01770000
            [is_new_high] => 
            [is_new_low] => 
        )

)