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Short Trade on RED

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Short Trade on RED 16 Sep 2025 at 04:06:48

Take profit at 0.5761 (0.69 %) and Stop Loss at 0.5821 (0.34 %)

Short Trade on RED

The 16 Sep 2025 at 04:06:48

With 4039.6371 RED at 0.5801$ per unit.

Position size of 2343.3935 $

Take profit at 0.5761 (0.69 %) and Stop Loss at 0.5821 (0.34 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 2.67
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.63
Prediction 3 Probability
0 0.62
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.257647

15m : -0.033761

1H : -0.043486

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.001320250613
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.579035
  4. ema21 : 0.585511
  5. ema50 : 0.597584
  6. ema100 : 0.605833
  7. price_ema9_diff : 0.00183791
  8. ema9_ema21_diff : -0.0110594
  9. ema21_ema50_diff : -0.0202028
  10. price_ema100_diff : -0.0424761
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.157273
  14. ema_slope_21 : -0.184128
  15. ema_slope_50 : -0.14783
  16. ema_slope_100 : -0.0939287
  17. rsi : 0.408271
  18. adx : 0.207574
  19. kc_percentage : 0.31987
  20. kc_width_percentage : 0.0464545
  21. volume_ema_diff : -0.379215
  22. volume_ema1 : 150092.09570261
  23. volume_ema2 : 241778.01271666
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.577134
  27. ema21 : 0.576988
  28. ema50 : 0.580797
  29. ema100 : 0.586712
  30. price_ema9_diff : 0.00513759
  31. ema9_ema21_diff : 0.000254437
  32. ema21_ema50_diff : -0.00655833
  33. price_ema100_diff : -0.0112709
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0439968
  37. ema_slope_21 : -0.0142992
  38. ema_slope_50 : -0.0410038
  39. ema_slope_100 : -0.0410842
  40. rsi : 0.56284
  41. adx : 0.231219
  42. kc_percentage : 0.81438
  43. kc_width_percentage : 0.0175176
  44. volume_ema_diff : -0.497555
  45. volume_ema1 : 31466.20982861
  46. volume_ema2 : 62626.283244265
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.578753
  50. ema21 : 0.577263
  51. ema50 : 0.576483
  52. ema100 : 0.578201
  53. price_ema9_diff : 0.00232693
  54. ema9_ema21_diff : 0.00257997
  55. ema21_ema50_diff : 0.00135374
  56. price_ema100_diff : 0.00328267
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0561355
  60. ema_slope_21 : 0.0420121
  61. ema_slope_50 : 0.0171377
  62. ema_slope_100 : 0.000473677
  63. rsi : 0.668677
  64. adx : 0.348012
  65. kc_percentage : 1.03041
  66. kc_width_percentage : 0.00891359
  67. volume_ema_diff : -0.186826
  68. volume_ema1 : 12730.66015732
  69. volume_ema2 : 15655.534360337
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115499
  74. 5m_price_ema100_diff: 
    0.00251453
  75. 5m_price: 
    115790
  76. 5m_correlation_with_coin: 
    0.257647
  77. btc_indicators
  78. 15m_ema100: 
    115378
  79. 15m_price_ema100_diff: 
    0.00356973
  80. 15m_price: 
    115790
  81. 15m_correlation_with_coin: 
    -0.033761
  82. btc_indicators
  83. 1H_ema100: 
    115463
  84. 1H_price_ema100_diff: 
    0.00282642
  85. 1H_price: 
    115790
  86. 1H_correlation_with_coin: 
    -0.043486
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
04:06:48		 16 Sep 2025
04:15:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5801 0.5821 0.5761 2 0.1665
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 0.5801
  • Stop Loss: 0.5821
  • Take Profit: 0.5761

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5821 - 0.5801 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5801 - 0.5761 = 0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.004 / 0.002 = 2

📌 Position Size

Amount Margin Quantity Leverage
2343.3935 100 4039.6371 23.43
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 0.5801 = 2320.4

Donc, tu peux acheter 4000 avec un stoploss a 0.5821

Avec un position size USD de 2320.4$

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 2320.4
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.69 % 16.16 $
SL % Target SL $ Target
0.34 % 8.08 $
PNL PNL %
-8.08 $ -0.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4999 % 144.98 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5761
            [entry_price] => 0.5801
            [stop_loss] => 0.5823
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 04:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5761
            [entry_price] => 0.5801
            [stop_loss] => 0.5825
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 04:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5761
            [entry_price] => 0.5801
            [stop_loss] => 0.5827
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 04:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5761
            [entry_price] => 0.5801
            [stop_loss] => 0.5831
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 06:20:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0033
            [max_drawdown] => 0.0029
            [rr_ratio] => 1.14
            [high] => 0.58300000
            [low] => 0.57680000
            [mfe_pct] => 0.57
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 1.14
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T04:06:48-04:00
            [end_at] => 2025-09-16T06:06:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0085
            [max_drawdown] => 0.0029
            [rr_ratio] => 2.93
            [high] => 0.58300000
            [low] => 0.57160000
            [mfe_pct] => 1.47
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 2.93
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T04:06:48-04:00
            [end_at] => 2025-09-16T11:06:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.58110000
            [high_after] => 0.58300000
            [low_before] => 0.56610000
            [low_after] => 0.57160000
            [is_new_high] => 
            [is_new_low] => 
        )

)