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Short Trade on BANK

Short Trade on BANK

The 17 Nov 2025 at 22:12:52

With 11752.7633 BANK at 0.05299$ per unit.

Position size of 622.7789 $

Take profit at 0.05163 (2.57 %) and Stop Loss at 0.05367 (1.28 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.08
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.63
Prediction 3 Probability
1 0.5
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high_confirmed

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_high_confirmed
BTC Correlation Score

5m : 0.244044

15m : -0.153427

1H : 0.076523

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0004537939874
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.0523796
  4. ema21 - 0.05301
  5. ema50 - 0.0535974
  6. ema100 - 0.0536977
  7. price_ema9_diff - 0.011653
  8. ema9_ema21_diff - -0.0118923
  9. ema21_ema50_diff - -0.0109594
  10. price_ema100_diff - -0.0131802
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.18691
  14. ema_slope_21 - -0.174716
  15. ema_slope_50 - -0.0954826
  16. ema_slope_100 - -0.0446123
  17. rsi - 0.489346
  18. adx - 0.261821
  19. kc_percentage - 0.503598
  20. kc_width_percentage - 0.117071
  21. volume_ema_diff - -0.458144
  22. volume_ema1 - 281206.25413674
  23. volume_ema2 - 518968.97053491
  24. chop - 65.9966
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0520108
  28. ema21 - 0.0522081
  29. ema50 - 0.0527079
  30. ema100 - 0.0534452
  31. price_ema9_diff - 0.0188251
  32. ema9_ema21_diff - -0.00377882
  33. ema21_ema50_diff - -0.00948235
  34. price_ema100_diff - -0.00851852
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0951651
  38. ema_slope_21 - -0.0910068
  39. ema_slope_50 - -0.0740105
  40. ema_slope_100 - -0.0629858
  41. rsi - 0.560909
  42. adx - 0.218839
  43. kc_percentage - 0.754001
  44. kc_width_percentage - 0.0594808
  45. volume_ema_diff - 0.393323
  46. volume_ema1 - 143743.0307478
  47. volume_ema2 - 103165.54796736
  48. chop - 34.6827
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0518214
  52. ema21 - 0.0517819
  53. ema50 - 0.0520226
  54. ema100 - 0.0523507
  55. price_ema9_diff - 0.0225503
  56. ema9_ema21_diff - 0.000762265
  57. ema21_ema50_diff - -0.00462658
  58. price_ema100_diff - 0.01221
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.0672911
  62. ema_slope_21 - 0.00381279
  63. ema_slope_50 - -0.0235944
  64. ema_slope_100 - -0.0245025
  65. rsi - 0.654101
  66. adx - 0.20047
  67. kc_percentage - 1.10752
  68. kc_width_percentage - 0.0376873
  69. volume_ema_diff - 2.39731
  70. volume_ema1 - 96236.843169998
  71. volume_ema2 - 28327.340808443
  72. chop - 22.9192
  73. regime - bull_high_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 91810.5
  77. 5m_price_ema100_diff: -0.0147539
  78. 5m_price: 90456
  79. 5m_correlation_with_coin: 0.244044
  80. btc_indicators
  81. 15m_ema100: 93274.1
  82. 15m_price_ema100_diff: -0.030214
  83. 15m_price: 90456
  84. 15m_correlation_with_coin: -0.153427
  85. btc_indicators
  86. 1H_ema100: 95181.9
  87. 1H_price_ema100_diff: -0.0496522
  88. 1H_price: 90456
  89. 1H_correlation_with_coin: 0.076523
    90. ¸

📌 Time Data

Start at Closed at Duration
17 Nov 2025
22:12:52		 18 Nov 2025
01:35:00		 3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05299 0.05367 0.05163 2 0.05033
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 0.05299
  • Stop Loss: 0.05367
  • Take Profit: 0.05163

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05367 - 0.05299 = 0.00068

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05299 - 0.05163 = 0.00136

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00136 / 0.00068 = 2

📌 Position Size

Amount Margin Quantity Leverage
622.7789 100 11752.7633 6.23
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 0.00068

Taille de position = 8 / 0.00068 = 11764.71

Taille de position USD = 11764.71 x 0.05299 = 623.41

Donc, tu peux acheter 11764.71 avec un stoploss a 0.05367

Avec un position size USD de 623.41$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11764.71 x 0.00068 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11764.71 x 0.00136 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 11764.71
  • Taille de position USD 623.41
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.57 % 15.98 $
SL % Target SL $ Target
1.28 % 7.99 $
PNL PNL %
-7.99 $ -1.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.7554 % 292.64 % 15

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05163
            [entry_price] => 0.05299
            [stop_loss] => 0.053738
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-18 01:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05163
            [entry_price] => 0.05299
            [stop_loss] => 0.053806
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-18 01:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05163
            [entry_price] => 0.05299
            [stop_loss] => 0.053874
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-18 01:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05163
            [entry_price] => 0.05299
            [stop_loss] => 0.05401
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-18 01:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00072000000000001
            [max_drawdown] => 0.00066
            [rr_ratio] => 1.09
            [high] => 0.05365000
            [low] => 0.05227000
            [mfe_pct] => 1.36
            [mae_pct] => 1.25
            [mfe_mae_ratio] => 1.09
            [candles_analyzed] => 24
            [start_at] => 2025-11-17T22:12:52-05:00
            [end_at] => 2025-11-18T00:12:52-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00072000000000001
            [max_drawdown] => 0.0021
            [rr_ratio] => 0.34
            [high] => 0.05509000
            [low] => 0.05227000
            [mfe_pct] => 1.36
            [mae_pct] => 3.96
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 84
            [start_at] => 2025-11-17T22:12:52-05:00
            [end_at] => 2025-11-18T05:12:52-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05322000
            [high_after] => 0.05509000
            [low_before] => 0.05033000
            [low_after] => 0.05227000
            [is_new_high] => 
            [is_new_low] => 
        )

)