Short Trade on BAN 09 Sep 2025 at 02:17:19

Take profit at 0.07931 (3.64 %) and Stop Loss at 0.08381 (1.82 %)

Short Trade on BAN

The 09 Sep 2025 at 02:17:19

With 5333.9459 BAN at 0.08231$ per unit.

Position size of 439.0371 $

Take profit at 0.07931 (3.64 %) and Stop Loss at 0.08381 (1.82 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.57
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.93
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bull_high

5m_regime : bull_high

BTC Correlation Score

5m : 0.225668

15m : -0.056013

1H : -0.05377

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0009998851607
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.0788555
  4. ema21 : 0.0832921
  5. ema50 : 0.0913341
  6. ema100 : 0.0954858
  7. price_ema9_diff : 0.043807
  8. ema9_ema21_diff : -0.0532651
  9. ema21_ema50_diff : -0.08805
  10. price_ema100_diff : -0.137987
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.935105
  14. ema_slope_21 : -1.02252
  15. ema_slope_50 : -0.693558
  16. ema_slope_100 : -0.396187
  17. rsi : 0.425974
  18. adx : 0.536835
  19. kc_percentage : 0.45762
  20. kc_width_percentage : 0.162881
  21. volume_ema_diff : 0.0792011
  22. volume_ema1 : 877072.19768698
  23. volume_ema2 : 812705.00067461
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0795411
  28. ema21 : 0.0777278
  29. ema50 : 0.0793265
  30. ema100 : 0.0839901
  31. price_ema9_diff : 0.0348103
  32. ema9_ema21_diff : 0.0233285
  33. ema21_ema50_diff : -0.0201527
  34. price_ema100_diff : -0.0200046
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.663188
  38. ema_slope_21 : 0.232866
  39. ema_slope_50 : -0.0795663
  40. ema_slope_100 : -0.162011
  41. rsi : 0.696217
  42. adx : 0.382074
  43. kc_percentage : 1.16424
  44. kc_width_percentage : 0.083012
  45. volume_ema_diff : -0.288843
  46. volume_ema1 : 195454.70645848
  47. volume_ema2 : 274840.7848608
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.0815742
  52. ema21 : 0.0796495
  53. ema50 : 0.0775033
  54. ema100 : 0.0768817
  55. price_ema9_diff : 0.00901904
  56. ema9_ema21_diff : 0.0241647
  57. ema21_ema50_diff : 0.0276917
  58. price_ema100_diff : 0.0706055
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.463504
  62. ema_slope_21 : 0.409079
  63. ema_slope_50 : 0.247255
  64. ema_slope_100 : 0.123706
  65. rsi : 0.758849
  66. adx : 0.614643
  67. kc_percentage : 1.11363
  68. kc_width_percentage : 0.0500119
  69. volume_ema_diff : -0.167858
  70. volume_ema1 : 74707.631845722
  71. volume_ema2 : 89777.516385853
  72. regime : bull_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111874
  77. 5m_price_ema100_diff:
    0.00702328
  78. 5m_price:
    112660
  79. 5m_correlation_with_coin:
    0.225668
  80. btc_indicators
  81. 15m_ema100:
    111783
  82. 15m_price_ema100_diff:
    0.007848
  83. 15m_price:
    112660
  84. 15m_correlation_with_coin:
    -0.056013
  85. btc_indicators
  86. 1H_ema100:
    111383
  87. 1H_price_ema100_diff:
    0.0114643
  88. 1H_price:
    112660
  89. 1H_correlation_with_coin:
    -0.05377
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
02:17:19
09 Sep 2025
04:05:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08231 0.08381 0.07931 2 0.1152
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 0.08231
  • Stop Loss: 0.08381
  • Take Profit: 0.07931

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08381 - 0.08231 = 0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08231 - 0.07931 = 0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.003 / 0.0015 = 2

📌 Position Size

Amount Margin Quantity Leverage
439.0371 100 5333.9459 4.39
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 0.0015

Taille de position = 8 / 0.0015 = 5333.33

Taille de position USD = 5333.33 x 0.08231 = 438.99

Donc, tu peux acheter 5333.33 avec un stoploss a 0.08381

Avec un position size USD de 438.99$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5333.33 x 0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5333.33 x 0.003 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5333.33
  • Taille de position USD 438.99
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.64 % 16 $
SL % Target SL $ Target
1.82 % 8 $
PNL PNL %
-8 $ -1.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.9925 % 109.33 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07931
            [entry_price] => 0.08231
            [stop_loss] => 0.08396
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 04:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07931
            [entry_price] => 0.08231
            [stop_loss] => 0.08411
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 04:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07931
            [entry_price] => 0.08231
            [stop_loss] => 0.08426
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 04:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07931
            [entry_price] => 0.08231
            [stop_loss] => 0.08456
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 04:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00263
            [max_drawdown] => 0.00164
            [rr_ratio] => 1.6
            [high] => 0.08395000
            [low] => 0.07968000
            [mfe_pct] => 3.2
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 1.6
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T02:17:19-04:00
            [end_at] => 2025-09-09T04:17:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00331
            [max_drawdown] => 0.0068
            [rr_ratio] => 0.49
            [high] => 0.08911000
            [low] => 0.07900000
            [mfe_pct] => 4.02
            [mae_pct] => 8.26
            [mfe_mae_ratio] => 0.49
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T02:17:19-04:00
            [end_at] => 2025-09-09T09:17:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08346000
            [high_after] => 0.08682000
            [low_before] => 0.07156000
            [low_after] => 0.07900000
            [is_new_high] => 
            [is_new_low] => 
        )

)