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Short Trade on RED

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Short Trade on RED 11 Sep 2025 at 18:47:25

Take profit at 0.611 (0.65 %) and Stop Loss at 0.617 (0.33 %)

Short Trade on RED

The 11 Sep 2025 at 18:47:25

With 3960.2175 RED at 0.615$ per unit.

Position size of 2435.5337 $

Take profit at 0.611 (0.65 %) and Stop Loss at 0.617 (0.33 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.84
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.62
Prediction 3 Probability
1 0.78
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low_exhausted

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.432248

15m : 0.183699

1H : 0.079583

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.001346727395
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 0.610746
  4. ema21 : 0.617129
  5. ema50 : 0.631339
  6. ema100 : 0.65048
  7. price_ema9_diff : 0.00696512
  8. ema9_ema21_diff : -0.0103439
  9. ema21_ema50_diff : -0.0225074
  10. price_ema100_diff : -0.0545448
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.277155
  14. ema_slope_21 : -0.226399
  15. ema_slope_50 : -0.175836
  16. ema_slope_100 : -0.140483
  17. rsi : 0.446812
  18. adx : 0.277544
  19. kc_percentage : 0.439745
  20. kc_width_percentage : 0.0428512
  21. volume_ema_diff : -0.593339
  22. volume_ema1 : 233337.86553607
  23. volume_ema2 : 573789.74428528
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.611266
  27. ema21 : 0.609441
  28. ema50 : 0.612066
  29. ema100 : 0.617789
  30. price_ema9_diff : 0.00610787
  31. ema9_ema21_diff : 0.00299485
  32. ema21_ema50_diff : -0.00428908
  33. price_ema100_diff : -0.00451523
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.077893
  37. ema_slope_21 : 0.0335455
  38. ema_slope_50 : -0.0167462
  39. ema_slope_100 : -0.0288465
  40. rsi : 0.658023
  41. adx : 0.268851
  42. kc_percentage : 1.06833
  43. kc_width_percentage : 0.0158028
  44. volume_ema_diff : -0.101713
  45. volume_ema1 : 74076.452650358
  46. volume_ema2 : 82464.197904672
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.612811
  50. ema21 : 0.610955
  51. ema50 : 0.608837
  52. ema100 : 0.607578
  53. price_ema9_diff : 0.00357128
  54. ema9_ema21_diff : 0.00303788
  55. ema21_ema50_diff : 0.00347904
  56. price_ema100_diff : 0.0122147
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0641047
  60. ema_slope_21 : 0.0453578
  61. ema_slope_50 : 0.0281277
  62. ema_slope_100 : 0.0166008
  63. rsi : 0.728614
  64. adx : 0.438605
  65. kc_percentage : 1.21576
  66. kc_width_percentage : 0.00891666
  67. volume_ema_diff : 1.57955
  68. volume_ema1 : 48070.533041449
  69. volume_ema2 : 18635.21428837
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114439
  74. 5m_price_ema100_diff: 
    0.0064918
  75. 5m_price: 
    115182
  76. 5m_correlation_with_coin: 
    0.432248
  77. btc_indicators
  78. 15m_ema100: 
    114196
  79. 15m_price_ema100_diff: 
    0.00863827
  80. 15m_price: 
    115182
  81. 15m_correlation_with_coin: 
    0.183699
  82. btc_indicators
  83. 1H_ema100: 
    112873
  84. 1H_price_ema100_diff: 
    0.0204588
  85. 1H_price: 
    115182
  86. 1H_correlation_with_coin: 
    0.079583
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Sep 2025
18:47:25		 11 Sep 2025
19:05:00		 17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.615 0.617 0.611 2 0.1469
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 0.615
  • Stop Loss: 0.617
  • Take Profit: 0.611

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.617 - 0.615 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.615 - 0.611 = 0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.004 / 0.002 = 2

📌 Position Size

Amount Margin Quantity Leverage
2435.5337 100 3960.2175 24.36
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.615 = 2460

Donc, tu peux acheter 4000 avec un stoploss a 0.617

Avec un position size USD de 2460$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.004 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4000
  • Taille de position USD 2460
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.65 % 15.84 $
SL % Target SL $ Target
0.33 % 7.92 $
PNL PNL %
-7.92 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6341 % 194.99 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.611
            [entry_price] => 0.615
            [stop_loss] => 0.6172
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-11 19:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.611
            [entry_price] => 0.615
            [stop_loss] => 0.6174
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-11 19:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.611
            [entry_price] => 0.615
            [stop_loss] => 0.6176
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-11 19:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.611
            [entry_price] => 0.615
            [stop_loss] => 0.618
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-11 19:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0035999999999999
            [max_drawdown] => 0.0087
            [rr_ratio] => 0.41
            [high] => 0.62370000
            [low] => 0.61140000
            [mfe_pct] => 0.59
            [mae_pct] => 1.41
            [mfe_mae_ratio] => 0.41
            [candles_analyzed] => 24
            [start_at] => 2025-09-11T18:47:25-04:00
            [end_at] => 2025-09-11T20:47:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0074
            [max_drawdown] => 0.0087
            [rr_ratio] => 0.85
            [high] => 0.62370000
            [low] => 0.60760000
            [mfe_pct] => 1.2
            [mae_pct] => 1.41
            [mfe_mae_ratio] => 0.85
            [candles_analyzed] => 84
            [start_at] => 2025-09-11T18:47:25-04:00
            [end_at] => 2025-09-12T01:47:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.61590000
            [high_after] => 0.62370000
            [low_before] => 0.60380000
            [low_after] => 0.60760000
            [is_new_high] => 
            [is_new_low] => 
        )

)