Long Trade on 1000000MOG 18 Sep 2025 at 01:44:35

Take profit at 0.9963 (1.04 %) and Stop Loss at 0.9808 (0.53 %)

Long Trade on 1000000MOG

The 18 Sep 2025 at 01:44:35

With 1547.2093 1000000MOG at 0.986$ per unit.

Position size of 1525.5484 $

Take profit at 0.9963 (1.04 %) and Stop Loss at 0.9808 (0.53 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.3
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_low

BTC Correlation Score

5m : 0.505834

15m : 0.048819

1H : 0.006461

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.003447066417
Details
  1. score: 2.15
  2. 1H
  3. ema9 : 0.994074
  4. ema21 : 0.972764
  5. ema50 : 0.949363
  6. ema100 : 0.953144
  7. price_ema9_diff : -0.00812229
  8. ema9_ema21_diff : 0.0219064
  9. ema21_ema50_diff : 0.0246488
  10. price_ema100_diff : 0.0344706
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.710047
  14. ema_slope_21 : 0.528104
  15. ema_slope_50 : 0.27737
  16. ema_slope_100 : 0.109003
  17. rsi : 0.581865
  18. adx : 0.32661
  19. kc_percentage : 0.637671
  20. kc_width_percentage : 0.0858023
  21. volume_ema_diff : -0.438183
  22. volume_ema1 : 206572.98195109
  23. volume_ema2 : 367687.46613812
  24. chop : 27.8175
  25. regime : bull_high
  26. ¸
  27. 15m
  28. ema9 : 0.99628
  29. ema21 : 1.00056
  30. ema50 : 0.989432
  31. ema100 : 0.966876
  32. price_ema9_diff : -0.0103184
  33. ema9_ema21_diff : -0.00428132
  34. ema21_ema50_diff : 0.0112506
  35. price_ema100_diff : 0.0197782
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0739387
  39. ema_slope_21 : -0.0352767
  40. ema_slope_50 : 0.0553525
  41. ema_slope_100 : 0.0795086
  42. rsi : 0.399753
  43. adx : 0.165979
  44. kc_percentage : 0.0214892
  45. kc_width_percentage : 0.0308009
  46. volume_ema_diff : -0.747143
  47. volume_ema1 : 26071.534611625
  48. volume_ema2 : 103108.04514098
  49. chop : 53.9488
  50. regime : bull_high
  51. ¸
  52. 5m
  53. ema9 : 0.99054
  54. ema21 : 0.995045
  55. ema50 : 1.00109
  56. ema100 : 1.0057
  57. price_ema9_diff : -0.00458347
  58. ema9_ema21_diff : -0.00452741
  59. ema21_ema50_diff : -0.00603905
  60. price_ema100_diff : -0.0195903
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : -0.0743721
  64. ema_slope_21 : -0.0624967
  65. ema_slope_50 : -0.0449918
  66. ema_slope_100 : -0.0294918
  67. rsi : 0.29411
  68. adx : 0.364235
  69. kc_percentage : -0.150897
  70. kc_width_percentage : 0.0136339
  71. volume_ema_diff : -0.457053
  72. volume_ema1 : 8174.6205553468
  73. volume_ema2 : 15056.022189364
  74. chop : 48.1995
  75. regime : bear_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    116823
  80. 5m_price_ema100_diff:
    0.00296895
  81. 5m_price:
    117170
  82. 5m_correlation_with_coin:
    0.505834
  83. btc_indicators
  84. 15m_ema100:
    116435
  85. 15m_price_ema100_diff:
    0.00646783
  86. 15m_price:
    117188
  87. 15m_correlation_with_coin:
    0.048819
  88. btc_indicators
  89. 1H_ema100:
    115991
  90. 1H_price_ema100_diff:
    0.0101589
  91. 1H_price:
    117170
  92. 1H_correlation_with_coin:
    0.006461
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
18 Sep 2025
01:44:35
18 Sep 2025
02:10:00
25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.986 0.9808 0.9963 1.98 0.1534
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 0.986
  • Stop Loss: 0.9808
  • Take Profit: 0.9963

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9808 - 0.986 = -0.0052

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.986 - 0.9963 = -0.0103

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0103 / -0.0052 = 1.9808

📌 Position Size

Amount Margin Quantity Leverage
1525.5484 100 1547.2093 15.26
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 -0.0052

Taille de position = 8 / -0.0052 = -1538.46

Taille de position USD = -1538.46 x 0.986 = -1516.92

Donc, tu peux acheter -1538.46 avec un stoploss a 0.9808

Avec un position size USD de -1516.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1538.46 x -0.0052 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1538.46 x -0.0103 = 15.85

Si Take Profit atteint, tu gagneras 15.85$

Résumé

  • Taille de position -1538.46
  • Taille de position USD -1516.92
  • Perte potentielle 8
  • Gain potentiel 15.85
  • Risk-Reward Ratio 1.9808

📌 Peformances

TP % Target TP $ Target
1.04 % 15.94 $
SL % Target SL $ Target
0.53 % 8.05 $
PNL PNL %
-8.05 $ -0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0243 % 194.22 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.9963
            [entry_price] => 0.986
            [stop_loss] => 0.98028
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-18 02:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.9963
            [entry_price] => 0.986
            [stop_loss] => 0.97976
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-18 02:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.9963
            [entry_price] => 0.986
            [stop_loss] => 0.97924
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-18 02:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.9963
            [entry_price] => 0.986
            [stop_loss] => 0.9782
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-18 02:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0037
            [max_drawdown] => 0.0136
            [rr_ratio] => 0.27
            [high] => 0.98970000
            [low] => 0.97240000
            [mfe_pct] => 0.38
            [mae_pct] => 1.38
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 24
            [start_at] => 2025-09-18T01:44:35-04:00
            [end_at] => 2025-09-18T03:44:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0037
            [max_drawdown] => 0.0263
            [rr_ratio] => 0.14
            [high] => 0.98970000
            [low] => 0.95970000
            [mfe_pct] => 0.38
            [mae_pct] => 2.67
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 84
            [start_at] => 2025-09-18T01:44:35-04:00
            [end_at] => 2025-09-18T08:44:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.02140000
            [high_after] => 0.98970000
            [low_before] => 0.98450000
            [low_after] => 0.95970000
            [is_new_high] => 
            [is_new_low] => 
        )

)