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Short Trade on BANK

Short Trade on BANK

The 15 Nov 2025 at 17:39:52

With 18813.0457 BANK at 0.05318$ per unit.

Position size of 1000.4778 $

Take profit at 0.05233 (1.6 %) and Stop Loss at 0.05361 (0.81 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.27
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
1 0.65
Prediction 3 Probability
1 0.56
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.178101

15m : 0.11262

1H : 0.017999

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0002834912223
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 0.0532977
  4. ema21 - 0.0536372
  5. ema50 - 0.0562634
  6. ema100 - 0.0624215
  7. price_ema9_diff - -0.0022095
  8. ema9_ema21_diff - -0.00632871
  9. ema21_ema50_diff - -0.0466776
  10. price_ema100_diff - -0.14805
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -0.183411
  14. ema_slope_21 - -0.0426312
  15. ema_slope_50 - -0.23175
  16. ema_slope_100 - -0.304205
  17. rsi - 0.471785
  18. adx - 0.107485
  19. kc_percentage - 0.442098
  20. kc_width_percentage - 0.139654
  21. volume_ema_diff - -0.832693
  22. volume_ema1 - 182603.49366017
  23. volume_ema2 - 1091431.6115632
  24. chop - 72.6896
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0525372
  28. ema21 - 0.0529384
  29. ema50 - 0.0534328
  30. ema100 - 0.0532966
  31. price_ema9_diff - 0.0122347
  32. ema9_ema21_diff - -0.00757835
  33. ema21_ema50_diff - -0.00925435
  34. price_ema100_diff - -0.00218943
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.136445
  38. ema_slope_21 - -0.135293
  39. ema_slope_50 - -0.0829978
  40. ema_slope_100 - -0.0306137
  41. rsi - 0.41864
  42. adx - 0.13154
  43. kc_percentage - 0.634143
  44. kc_width_percentage - 0.0383492
  45. volume_ema_diff - -0.783206
  46. volume_ema1 - 20186.178329956
  47. volume_ema2 - 93112.663956326
  48. chop - 61.2301
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0525513
  52. ema21 - 0.0525591
  53. ema50 - 0.0528508
  54. ema100 - 0.0533858
  55. price_ema9_diff - 0.0119627
  56. ema9_ema21_diff - -0.000148105
  57. ema21_ema50_diff - -0.00551967
  58. price_ema100_diff - -0.00385662
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - -0.049708
  62. ema_slope_21 - -0.0450078
  63. ema_slope_50 - -0.0451092
  64. ema_slope_100 - -0.0427946
  65. rsi - 0.626423
  66. adx - 0.158518
  67. kc_percentage - 1.04029
  68. kc_width_percentage - 0.0218286
  69. volume_ema_diff - 0.46988
  70. volume_ema1 - 21374.540718859
  71. volume_ema2 - 14541.684952443
  72. chop - 33.8505
  73. regime - range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 95811.2
  77. 5m_price_ema100_diff: -0.00260563
  78. 5m_price: 95561.6
  79. 5m_correlation_with_coin: 0.178101
  80. btc_indicators
  81. 15m_ema100: 95745.2
  82. 15m_price_ema100_diff: -0.00280101
  83. 15m_price: 95477.1
  84. 15m_correlation_with_coin: 0.11262
  85. btc_indicators
  86. 1H_ema100: 98585.4
  87. 1H_price_ema100_diff: -0.0306726
  88. 1H_price: 95561.6
  89. 1H_correlation_with_coin: 0.017999
    90. ¸

📌 Time Data

Start at Closed at Duration
15 Nov 2025
17:39:52		 15 Nov 2025
18:15:00		 35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05318 0.05361 0.05233 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 0.05318
  • Stop Loss: 0.05361
  • Take Profit: 0.05233

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05361 - 0.05318 = 0.00043

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05318 - 0.05233 = 0.00085

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00085 / 0.00043 = 1.9767

📌 Position Size

Amount Margin Quantity Leverage
1000.4778 100 18813.0457 10.00
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 0.00043

Taille de position = 8 / 0.00043 = 18604.65

Taille de position USD = 18604.65 x 0.05318 = 989.4

Donc, tu peux acheter 18604.65 avec un stoploss a 0.05361

Avec un position size USD de 989.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 18604.65 x 0.00043 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 18604.65 x 0.00085 = 15.81

Si Take Profit atteint, tu gagneras 15.81$

Résumé

  • Taille de position 18604.65
  • Taille de position USD 989.4
  • Perte potentielle 8
  • Gain potentiel 15.81
  • Risk-Reward Ratio 1.9767

📌 Peformances

TP % Target TP $ Target
1.6 % 15.99 $
SL % Target SL $ Target
0.81 % 8.09 $
PNL PNL %
-8.09 $ -0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2975 % 160.46 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05233
            [entry_price] => 0.05318
            [stop_loss] => 0.053653
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-15 18:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05233
            [entry_price] => 0.05318
            [stop_loss] => 0.053696
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-15 18:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05233
            [entry_price] => 0.05318
            [stop_loss] => 0.053739
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-15 18:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05233
            [entry_price] => 0.05318
            [stop_loss] => 0.053825
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-15 18:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00066
            [max_drawdown] => 0.00356
            [rr_ratio] => 0.19
            [high] => 0.05674000
            [low] => 0.05252000
            [mfe_pct] => 1.24
            [mae_pct] => 6.69
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-11-15T17:39:52-05:00
            [end_at] => 2025-11-15T19:39:52-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00066
            [max_drawdown] => 0.00356
            [rr_ratio] => 0.19
            [high] => 0.05674000
            [low] => 0.05252000
            [mfe_pct] => 1.24
            [mae_pct] => 6.69
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 84
            [start_at] => 2025-11-15T17:39:52-05:00
            [end_at] => 2025-11-16T00:39:52-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05386000
            [high_after] => 0.05674000
            [low_before] => 0.05185000
            [low_after] => 0.05252000
            [is_new_high] => 
            [is_new_low] => 
        )

)