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Long Trade on MOCA

Long Trade on MOCA

The 30 Sep 2025 at 03:26:48

With 8799.7496 MOCA at 0.07497$ per unit.

Position size of 659.7172 $

Take profit at 0.07679 (2.43 %) and Stop Loss at 0.07406 (1.21 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.14
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.81
Prediction 3 Probability
0 0.72
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 : bull_high

5m_regime : bear_high
BTC Correlation Score

5m : 0.018513

15m : 0.035444

1H : 0.143583

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.33
  4. atr: 0.0006060778487
Details
  1. score: 2.33
  2. 1H
  3. ema9 - 0.0760838
  4. ema21 - 0.0748246
  5. ema50 - 0.0728424
  6. ema100 - 0.0712168
  7. price_ema9_diff - -0.01464
  8. ema9_ema21_diff - 0.016829
  9. ema21_ema50_diff - 0.0272114
  10. price_ema100_diff - 0.0526996
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.343204
  14. ema_slope_21 - 0.312689
  15. ema_slope_50 - 0.226179
  16. ema_slope_100 - 0.151968
  17. rsi - 0.537273
  18. adx - 0.453
  19. kc_percentage - 0.508608
  20. kc_width_percentage - 0.077754
  21. volume_ema_diff - 0.925233
  22. volume_ema1 - 280820.27645723
  23. volume_ema2 - 145862.95083224
  24. chop - 48.6039
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0772143
  28. ema21 - 0.0769359
  29. ema50 - 0.0758697
  30. ema100 - 0.0747458
  31. price_ema9_diff - -0.0290663
  32. ema9_ema21_diff - 0.00361843
  33. ema21_ema50_diff - 0.014053
  34. price_ema100_diff - 0.00299863
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0913283
  38. ema_slope_21 - 0.131502
  39. ema_slope_50 - 0.116598
  40. ema_slope_100 - 0.0869445
  41. rsi - 0.416889
  42. adx - 0.371925
  43. kc_percentage - -0.0377016
  44. kc_width_percentage - 0.0497014
  45. volume_ema_diff - 0.40954
  46. volume_ema1 - 87071.981096462
  47. volume_ema2 - 61773.314312749
  48. chop - 43.0497
  49. regime - bull_high
    50. ¸
  50. 5m
  51. ema9 - 0.076433
  52. ema21 - 0.0771316
  53. ema50 - 0.0770846
  54. ema100 - 0.0765541
  55. price_ema9_diff - -0.0191418
  56. ema9_ema21_diff - -0.00905682
  57. ema21_ema50_diff - 0.000610094
  58. price_ema100_diff - -0.0206938
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - -0.17781
  62. ema_slope_21 - -0.0765427
  63. ema_slope_50 - -0.0046852
  64. ema_slope_100 - 0.0158687
  65. rsi - 0.255513
  66. adx - 0.250948
  67. kc_percentage - -0.334494
  68. kc_width_percentage - 0.0341693
  69. volume_ema_diff - 0.37514
  70. volume_ema1 - 39652.79608911
  71. volume_ema2 - 28835.459982308
  72. chop - 22.2124
  73. regime - bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 114107
  77. 5m_price_ema100_diff: -0.00169127
  78. 5m_price: 113914
  79. 5m_correlation_with_coin: 0.018513
  80. btc_indicators
  81. 15m_ema100: 113552
  82. 15m_price_ema100_diff: 0.00258225
  83. 15m_price: 113846
  84. 15m_correlation_with_coin: 0.035444
  85. btc_indicators
  86. 1H_ema100: 111356
  87. 1H_price_ema100_diff: 0.0229734
  88. 1H_price: 113914
  89. 1H_correlation_with_coin: 0.143583
    90. ¸

📌 Time Data

Start at Closed at Duration
30 Sep 2025
03:26:48		 30 Sep 2025
03:30:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07497 0.07406 0.07679 2 0.01951
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 0.07497
  • Stop Loss: 0.07406
  • Take Profit: 0.07679

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07406 - 0.07497 = -0.00090999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07497 - 0.07679 = -0.00182

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00182 / -0.00090999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
659.7172 100 8799.7496 6.60
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 -0.00090999999999999

Taille de position = 8 / -0.00090999999999999 = -8791.21

Taille de position USD = -8791.21 x 0.07497 = -659.08

Donc, tu peux acheter -8791.21 avec un stoploss a 0.07406

Avec un position size USD de -659.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8791.21 x -0.00090999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8791.21 x -0.00182 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -8791.21
  • Taille de position USD -659.08
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.43 % 16.02 $
SL % Target SL $ Target
1.21 % 8.01 $
PNL PNL %
-8.01 $ -1.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.8541 % 152.75 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07679
            [entry_price] => 0.07497
            [stop_loss] => 0.073969
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 03:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07679
            [entry_price] => 0.07497
            [stop_loss] => 0.073878
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 03:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07679
            [entry_price] => 0.07497
            [stop_loss] => 0.073787
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 03:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07679
            [entry_price] => 0.07497
            [stop_loss] => 0.073605
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 03:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0004
            [max_drawdown] => 0.00389
            [rr_ratio] => -0.1
            [high] => 0.07457000
            [low] => 0.07108000
            [mfe_pct] => -0.53
            [mae_pct] => 5.19
            [mfe_mae_ratio] => -0.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T03:26:48-04:00
            [end_at] => 2025-09-30T05:26:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0004
            [max_drawdown] => 0.00407
            [rr_ratio] => -0.1
            [high] => 0.07457000
            [low] => 0.07090000
            [mfe_pct] => -0.53
            [mae_pct] => 5.43
            [mfe_mae_ratio] => -0.1
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T03:26:48-04:00
            [end_at] => 2025-09-30T10:26:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07858000
            [high_after] => 0.07457000
            [low_before] => 0.07453000
            [low_after] => 0.07090000
            [is_new_high] => 
            [is_new_low] => 
        )

)