Short Trade on W 08 Oct 2025 at 13:12:28

Take profit at 0.117 (1.68 %) and Stop Loss at 0.12 (0.84 %)

Short Trade on W

The 08 Oct 2025 at 13:12:28

With 7891.3499 W at 0.119$ per unit.

Position size of 939.1495 $

Take profit at 0.117 (1.68 %) and Stop Loss at 0.12 (0.84 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.63
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.59
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.55
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.542039

15m : 0.03165

1H : 0.024231

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.0006758455035
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 0.117431
  4. ema21 : 0.119262
  5. ema50 : 0.121723
  6. ema100 : 0.121414
  7. price_ema9_diff : 0.0134407
  8. ema9_ema21_diff : -0.0153534
  9. ema21_ema50_diff : -0.020216
  10. price_ema100_diff : -0.0198047
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.211872
  14. ema_slope_21 : -0.309673
  15. ema_slope_50 : -0.189648
  16. ema_slope_100 : -0.078913
  17. rsi : 0.469064
  18. adx : 0.176915
  19. kc_percentage : 0.491263
  20. kc_width_percentage : 0.0825737
  21. volume_ema_diff : -0.281703
  22. volume_ema1 : 805202.02745918
  23. volume_ema2 : 1120988.3688393
  24. chop : 65.4955
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.117063
  29. ema21 : 0.116586
  30. ema50 : 0.117481
  31. ema100 : 0.119581
  32. price_ema9_diff : 0.0166249
  33. ema9_ema21_diff : 0.00409556
  34. ema21_ema50_diff : -0.00761644
  35. price_ema100_diff : -0.00477924
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0877427
  39. ema_slope_21 : -0.000358245
  40. ema_slope_50 : -0.0499726
  41. ema_slope_100 : -0.0626624
  42. rsi : 0.630324
  43. adx : 0.164541
  44. kc_percentage : 0.975717
  45. kc_width_percentage : 0.0428259
  46. volume_ema_diff : -0.0724551
  47. volume_ema1 : 246261.14623229
  48. volume_ema2 : 265497.8454764
  49. chop : 38.7718
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.11795
  54. ema21 : 0.117015
  55. ema50 : 0.116462
  56. ema100 : 0.116734
  57. price_ema9_diff : 0.00898496
  58. ema9_ema21_diff : 0.0079913
  59. ema21_ema50_diff : 0.00474589
  60. price_ema100_diff : 0.0194923
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.160895
  64. ema_slope_21 : 0.106223
  65. ema_slope_50 : 0.0460693
  66. ema_slope_100 : 0.0134363
  67. rsi : 0.709307
  68. adx : 0.258745
  69. kc_percentage : 1.19173
  70. kc_width_percentage : 0.0236124
  71. volume_ema_diff : 0.0768281
  72. volume_ema1 : 96179.131028739
  73. volume_ema2 : 89317.065013066
  74. chop : 27.0761
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    122552
  80. 5m_price_ema100_diff:
    0.00648423
  81. 5m_price:
    123346
  82. 5m_correlation_with_coin:
    0.542039
  83. btc_indicators
  84. 15m_ema100:
    122035
  85. 15m_price_ema100_diff:
    0.0107483
  86. 15m_price:
    123346
  87. 15m_correlation_with_coin:
    0.03165
  88. btc_indicators
  89. 1H_ema100:
    122890
  90. 1H_price_ema100_diff:
    0.0037141
  91. 1H_price:
    123346
  92. 1H_correlation_with_coin:
    0.024231
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Oct 2025
13:12:28
08 Oct 2025
13:15:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.119 0.12 0.117 2 0.01918
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 0.119
  • Stop Loss: 0.12
  • Take Profit: 0.117

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.12 - 0.119 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.119 - 0.117 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
939.1495 100 7891.3499 9.39
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.119 = 952

Donc, tu peux acheter 8000 avec un stoploss a 0.12

Avec un position size USD de 952$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8000
  • Taille de position USD 952
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.68 % 15.78 $
SL % Target SL $ Target
0.84 % 7.89 $
PNL PNL %
-7.89 $ -0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3277 % 158 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.117
            [entry_price] => 0.119
            [stop_loss] => 0.1201
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 13:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.117
            [entry_price] => 0.119
            [stop_loss] => 0.1202
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 13:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.117
            [entry_price] => 0.119
            [stop_loss] => 0.1203
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 13:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.117
            [entry_price] => 0.119
            [stop_loss] => 0.1205
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 13:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00022999999999999
            [max_drawdown] => 0.00237
            [rr_ratio] => 0.1
            [high] => 0.12137000
            [low] => 0.11877000
            [mfe_pct] => 0.19
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T13:12:28-04:00
            [end_at] => 2025-10-08T15:12:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00217
            [max_drawdown] => 0.00237
            [rr_ratio] => 0.92
            [high] => 0.12137000
            [low] => 0.11683000
            [mfe_pct] => 1.82
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 0.92
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T13:12:28-04:00
            [end_at] => 2025-10-08T20:12:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11944000
            [high_after] => 0.12137000
            [low_before] => 0.11363000
            [low_after] => 0.11683000
            [is_new_high] => 
            [is_new_low] => 
        )

)