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Long Trade on ROSE

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Long Trade on ROSE 13 Sep 2025 at 01:25:29

Take profit at 0.03025 (0.83 %) and Stop Loss at 0.02988 (0.4 %)

Long Trade on ROSE

The 13 Sep 2025 at 01:25:29

With 64311.4498 ROSE at 0.03$ per unit.

Position size of 1929.3435 $

Take profit at 0.03025 (0.83 %) and Stop Loss at 0.02988 (0.4 %)

That's a 2.08 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.71
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.6
Prediction 2 Probability
0 0.65
Prediction 3 Probability
1 0.59
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_medium

5m_regime : bear_low
BTC Correlation Score

5m : 0.259073

15m : 0.02777

1H : -0.215699

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 8.292976366E-5
Details
  1. score: 2.18
  2. 1H
  3. ema9 : 0.0300358
  4. ema21 : 0.0294166
  5. ema50 : 0.0286145
  6. ema100 : 0.0279266
  7. price_ema9_diff : -0.0011921
  8. ema9_ema21_diff : 0.0210479
  9. ema21_ema50_diff : 0.0280306
  10. price_ema100_diff : 0.0742429
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.616762
  14. ema_slope_21 : 0.482444
  15. ema_slope_50 : 0.285605
  16. ema_slope_100 : 0.183646
  17. rsi : 0.627067
  18. adx : 0.477919
  19. kc_percentage : 0.759166
  20. kc_width_percentage : 0.0693073
  21. volume_ema_diff : -0.547696
  22. volume_ema1 : 72740.488213921
  23. volume_ema2 : 160822.40508192
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.0302209
  27. ema21 : 0.0302052
  28. ema50 : 0.0297913
  29. ema100 : 0.0291848
  30. price_ema9_diff : -0.00731252
  31. ema9_ema21_diff : 0.00051998
  32. ema21_ema50_diff : 0.0138928
  33. price_ema100_diff : 0.0279311
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.00438509
  37. ema_slope_21 : 0.0362982
  38. ema_slope_50 : 0.0852912
  39. ema_slope_100 : 0.086133
  40. rsi : 0.44442
  41. adx : 0.284688
  42. kc_percentage : 0.213917
  43. kc_width_percentage : 0.0248311
  44. volume_ema_diff : -0.574071
  45. volume_ema1 : 16562.095851217
  46. volume_ema2 : 38884.724808654
  47. regime : bull_medium
    48. ¸
  48. 5m
  49. ema9 : 0.0301254
  50. ema21 : 0.0302297
  51. ema50 : 0.0302538
  52. ema100 : 0.0301795
  53. price_ema9_diff : -0.00416291
  54. ema9_ema21_diff : -0.00345288
  55. ema21_ema50_diff : -0.000793743
  56. price_ema100_diff : -0.00594988
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : -0.0879655
  60. ema_slope_21 : -0.0459022
  61. ema_slope_50 : -0.013306
  62. ema_slope_100 : 0.000326503
  63. rsi : 0.325153
  64. adx : 0.217416
  65. kc_percentage : -0.183724
  66. kc_width_percentage : 0.0109832
  67. volume_ema_diff : -0.0829252
  68. volume_ema1 : 5382.5861737438
  69. volume_ema2 : 5869.2995091039
  70. regime : bear_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115884
  74. 5m_price_ema100_diff: 
    -0.00105748
  75. 5m_price: 
    115762
  76. 5m_correlation_with_coin: 
    0.259073
  77. btc_indicators
  78. 15m_ema100: 
    115662
  79. 15m_price_ema100_diff: 
    0.000122558
  80. 15m_price: 
    115676
  81. 15m_correlation_with_coin: 
    0.02777
  82. btc_indicators
  83. 1H_ema100: 
    114099
  84. 1H_price_ema100_diff: 
    0.0145688
  85. 1H_price: 
    115762
  86. 1H_correlation_with_coin: 
    -0.215699
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
01:25:29		 13 Sep 2025
01:40:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03 0.02988 0.03025 2.08 0.01172
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 0.03
  • Stop Loss: 0.02988
  • Take Profit: 0.03025

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02988 - 0.03 = -0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03 - 0.03025 = -0.00025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00025 / -0.00012 = 2.0833

📌 Position Size

Amount Margin Quantity Leverage
1929.3435 100 64311.4498 19.29
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 -0.00012

Taille de position = 8 / -0.00012 = -66666.67

Taille de position USD = -66666.67 x 0.03 = -2000

Donc, tu peux acheter -66666.67 avec un stoploss a 0.02988

Avec un position size USD de -2000$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -66666.67 x -0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -66666.67 x -0.00025 = 16.67

Si Take Profit atteint, tu gagneras 16.67$

Résumé

  • Taille de position -66666.67
  • Taille de position USD -2000
  • Perte potentielle 8
  • Gain potentiel 16.67
  • Risk-Reward Ratio 2.0833

📌 Peformances

TP % Target TP $ Target
0.83 % 16.08 $
SL % Target SL $ Target
0.4 % 7.72 $
PNL PNL %
-7.72 $ -0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4333 % 108.33 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03025
            [entry_price] => 0.03
            [stop_loss] => 0.029868
            [rr_ratio] => 1.89
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 01:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03025
            [entry_price] => 0.03
            [stop_loss] => 0.029856
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 02:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03025
            [entry_price] => 0.03
            [stop_loss] => 0.029844
            [rr_ratio] => 1.6
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 02:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03025
            [entry_price] => 0.03
            [stop_loss] => 0.02982
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 02:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.0000000000003E-5
            [max_drawdown] => 0.00036
            [rr_ratio] => 0.06
            [high] => 0.03002000
            [low] => 0.02964000
            [mfe_pct] => 0.07
            [mae_pct] => 1.2
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T01:25:29-04:00
            [end_at] => 2025-09-13T03:25:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00046
            [max_drawdown] => 0.00042
            [rr_ratio] => 1.1
            [high] => 0.03046000
            [low] => 0.02958000
            [mfe_pct] => 1.53
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 1.1
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T01:25:29-04:00
            [end_at] => 2025-09-13T08:25:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03059000
            [high_after] => 0.03046000
            [low_before] => 0.02991000
            [low_after] => 0.02958000
            [is_new_high] => 
            [is_new_low] => 
        )

)