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Short Trade on ICP

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Short Trade on ICP 17 Sep 2025 at 12:56:37

Take profit at 4.6774 (0.63 %) and Stop Loss at 4.7218 (0.31 %)

Short Trade on ICP

The 17 Sep 2025 at 12:56:37

With 540.2151 ICP at 4.707$ per unit.

Position size of 2542.7923 $

Take profit at 4.6774 (0.63 %) and Stop Loss at 4.7218 (0.31 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.74
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.76
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.600569

15m : -0.148268

1H : 0.055005

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.009872611171
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 4.70268
  4. ema21 : 4.71557
  5. ema50 : 4.73787
  6. ema100 : 4.80382
  7. price_ema9_diff : 0.000918491
  8. ema9_ema21_diff : -0.00273404
  9. ema21_ema50_diff : -0.00470794
  10. price_ema100_diff : -0.0201548
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.084556
  14. ema_slope_21 : -0.0435333
  15. ema_slope_50 : -0.0333984
  16. ema_slope_100 : -0.0447946
  17. rsi : 0.474549
  18. adx : 0.187996
  19. kc_percentage : 0.447542
  20. kc_width_percentage : 0.0323598
  21. volume_ema_diff : -0.0199398
  22. volume_ema1 : 271282.5198915
  23. volume_ema2 : 276801.89830399
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 4.68121
  27. ema21 : 4.68813
  28. ema50 : 4.70441
  29. ema100 : 4.71686
  30. price_ema9_diff : 0.00550923
  31. ema9_ema21_diff : -0.00147728
  32. ema21_ema50_diff : -0.00345937
  33. price_ema100_diff : -0.00209076
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0371231
  37. ema_slope_21 : -0.0292192
  38. ema_slope_50 : -0.0251739
  39. ema_slope_100 : -0.0168352
  40. rsi : 0.492818
  41. adx : 0.362673
  42. kc_percentage : 0.769131
  43. kc_width_percentage : 0.0153761
  44. volume_ema_diff : -0.0678234
  45. volume_ema1 : 52125.558829383
  46. volume_ema2 : 55918.120266306
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 4.68711
  50. ema21 : 4.68223
  51. ema50 : 4.68678
  52. ema100 : 4.69226
  53. price_ema9_diff : 0.00424314
  54. ema9_ema21_diff : 0.00104216
  55. ema21_ema50_diff : -0.000971568
  56. price_ema100_diff : 0.00313922
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0175588
  60. ema_slope_21 : -0.00498627
  61. ema_slope_50 : -0.00993639
  62. ema_slope_100 : -0.0075651
  63. rsi : 0.632579
  64. adx : 0.293055
  65. kc_percentage : 1.14073
  66. kc_width_percentage : 0.00822156
  67. volume_ema_diff : -0.102119
  68. volume_ema1 : 21184.775426511
  69. volume_ema2 : 23594.204844566
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    116029
  74. 5m_price_ema100_diff: 
    -0.00314623
  75. 5m_price: 
    115664
  76. 5m_correlation_with_coin: 
    0.600569
  77. btc_indicators
  78. 15m_ema100: 
    116234
  79. 15m_price_ema100_diff: 
    -0.00607672
  80. 15m_price: 
    115528
  81. 15m_correlation_with_coin: 
    -0.148268
  82. btc_indicators
  83. 1H_ema100: 
    115848
  84. 1H_price_ema100_diff: 
    -0.00159282
  85. 1H_price: 
    115664
  86. 1H_correlation_with_coin: 
    0.055005
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
12:56:37		 17 Sep 2025
13:35:00		 38 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.707 4.7218 4.6774 2 2.467
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 4.707
  • Stop Loss: 4.7218
  • Take Profit: 4.6774

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.7218 - 4.707 = 0.0148

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.707 - 4.6774 = 0.0296

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0296 / 0.0148 = 2

📌 Position Size

Amount Margin Quantity Leverage
2542.7923 100 540.2151 25.43
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 0.0148

Taille de position = 8 / 0.0148 = 540.54

Taille de position USD = 540.54 x 4.707 = 2544.32

Donc, tu peux acheter 540.54 avec un stoploss a 4.7218

Avec un position size USD de 2544.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 540.54 x 0.0148 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 540.54 x 0.0296 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 540.54
  • Taille de position USD 2544.32
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.63 % 15.99 $
SL % Target SL $ Target
0.31 % 8 $
PNL PNL %
-8 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3399 % 108.11 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.6774
            [entry_price] => 4.707
            [stop_loss] => 4.72328
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.6774
            [entry_price] => 4.707
            [stop_loss] => 4.72476
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.6774
            [entry_price] => 4.707
            [stop_loss] => 4.72624
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.6774
            [entry_price] => 4.707
            [stop_loss] => 4.7292
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.04
            [max_drawdown] => 0.054
            [rr_ratio] => 0.74
            [high] => 4.76100000
            [low] => 4.66700000
            [mfe_pct] => 0.85
            [mae_pct] => 1.15
            [mfe_mae_ratio] => 0.74
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T12:56:37-04:00
            [end_at] => 2025-09-17T14:56:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.04
            [max_drawdown] => 0.167
            [rr_ratio] => 0.24
            [high] => 4.87400000
            [low] => 4.66700000
            [mfe_pct] => 0.85
            [mae_pct] => 3.55
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T12:56:37-04:00
            [end_at] => 2025-09-17T19:56:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.72500000
            [high_after] => 4.86300000
            [low_before] => 4.64300000
            [low_after] => 4.66700000
            [is_new_high] => 
            [is_new_low] => 
        )

)