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Short Trade on BANK

Short Trade on BANK

The 15 Nov 2025 at 18:16:30

With 17897.5877 BANK at 0.05357$ per unit.

Position size of 958.7738 $

Take profit at 0.05268 (1.66 %) and Stop Loss at 0.05402 (0.84 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.07
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.96
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.61
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.166048

15m : -0.001698

1H : -0.20857

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.000297991742
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 0.0532914
  4. ema21 - 0.0535996
  5. ema50 - 0.0561334
  6. ema100 - 0.0621644
  7. price_ema9_diff - 0.00522768
  8. ema9_ema21_diff - -0.00575099
  9. ema21_ema50_diff - -0.0451386
  10. price_ema100_diff - -0.138253
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.130581
  14. ema_slope_21 - -0.0315763
  15. ema_slope_50 - -0.219805
  16. ema_slope_100 - -0.295867
  17. rsi - 0.488546
  18. adx - 0.108489
  19. kc_percentage - 0.499508
  20. kc_width_percentage - 0.130822
  21. volume_ema_diff - -0.847778
  22. volume_ema1 - 160456.44536789
  23. volume_ema2 - 1054096.1460332
  24. chop - 71.7094
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0529764
  28. ema21 - 0.053064
  29. ema50 - 0.0534425
  30. ema100 - 0.0533644
  31. price_ema9_diff - 0.011204
  32. ema9_ema21_diff - -0.00165076
  33. ema21_ema50_diff - -0.00708177
  34. price_ema100_diff - 0.00385248
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0246751
  38. ema_slope_21 - -0.0795423
  39. ema_slope_50 - -0.0643496
  40. ema_slope_100 - -0.0260303
  41. rsi - 0.543218
  42. adx - 0.118709
  43. kc_percentage - 0.733859
  44. kc_width_percentage - 0.0418548
  45. volume_ema_diff - -0.591491
  46. volume_ema1 - 36854.833353814
  47. volume_ema2 - 90218.060785804
  48. chop - 62.3684
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0530609
  52. ema21 - 0.0528369
  53. ema50 - 0.0528953
  54. ema100 - 0.053268
  55. price_ema9_diff - 0.00959419
  56. ema9_ema21_diff - 0.0042385
  57. ema21_ema50_diff - -0.00110314
  58. price_ema100_diff - 0.00566818
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.113717
  62. ema_slope_21 - 0.0511545
  63. ema_slope_50 - 0.00339592
  64. ema_slope_100 - -0.0151831
  65. rsi - 0.652809
  66. adx - 0.21723
  67. kc_percentage - 1.09506
  68. kc_width_percentage - 0.0227445
  69. volume_ema_diff - 0.0795694
  70. volume_ema1 - 16223.267229431
  71. volume_ema2 - 15027.534678508
  72. chop - 34.8253
  73. regime - bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 95751.6
  77. 5m_price_ema100_diff: -0.00209544
  78. 5m_price: 95551
  79. 5m_correlation_with_coin: 0.166048
  80. btc_indicators
  81. 15m_ema100: 95777.6
  82. 15m_price_ema100_diff: -0.00236672
  83. 15m_price: 95551
  84. 15m_correlation_with_coin: -0.001698
  85. btc_indicators
  86. 1H_ema100: 98484.2
  87. 1H_price_ema100_diff: -0.0297835
  88. 1H_price: 95551
  89. 1H_correlation_with_coin: -0.20857
    90. ¸

📌 Time Data

Start at Closed at Duration
15 Nov 2025
18:16:30		 15 Nov 2025
18:45:00		 28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05357 0.05402 0.05268 1.98 0.05021
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 0.05357
  • Stop Loss: 0.05402
  • Take Profit: 0.05268

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05402 - 0.05357 = 0.00045

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05357 - 0.05268 = 0.00089

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00089 / 0.00045 = 1.9778

📌 Position Size

Amount Margin Quantity Leverage
958.7738 100 17897.5877 9.59
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 0.00045

Taille de position = 8 / 0.00045 = 17777.78

Taille de position USD = 17777.78 x 0.05357 = 952.36

Donc, tu peux acheter 17777.78 avec un stoploss a 0.05402

Avec un position size USD de 952.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17777.78 x 0.00045 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17777.78 x 0.00089 = 15.82

Si Take Profit atteint, tu gagneras 15.82$

Résumé

  • Taille de position 17777.78
  • Taille de position USD 952.36
  • Perte potentielle 8
  • Gain potentiel 15.82
  • Risk-Reward Ratio 1.9778

📌 Peformances

TP % Target TP $ Target
1.66 % 15.93 $
SL % Target SL $ Target
0.84 % 8.05 $
PNL PNL %
-8.05 $ -0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3521 % 280.01 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05268
            [entry_price] => 0.05357
            [stop_loss] => 0.054065
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-15 18:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05268
            [entry_price] => 0.05357
            [stop_loss] => 0.05411
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-15 18:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05268
            [entry_price] => 0.05357
            [stop_loss] => 0.054155
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-15 18:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05268
            [entry_price] => 0.05357
            [stop_loss] => 0.054245
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-15 18:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00017
            [max_drawdown] => 0.00317
            [rr_ratio] => 0.05
            [high] => 0.05674000
            [low] => 0.05340000
            [mfe_pct] => 0.32
            [mae_pct] => 5.92
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 24
            [start_at] => 2025-11-15T18:16:30-05:00
            [end_at] => 2025-11-15T20:16:30-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00017
            [max_drawdown] => 0.00345
            [rr_ratio] => 0.05
            [high] => 0.05702000
            [low] => 0.05340000
            [mfe_pct] => 0.32
            [mae_pct] => 6.44
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2025-11-15T18:16:30-05:00
            [end_at] => 2025-11-16T01:16:30-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05387000
            [high_after] => 0.05674000
            [low_before] => 0.05185000
            [low_after] => 0.05340000
            [is_new_high] => 
            [is_new_low] => 
        )

)