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Short Trade on ICP

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Short Trade on ICP 08 Oct 2025 at 04:08:50

Take profit at 4.3886 (0.55 %) and Stop Loss at 4.4252 (0.28 %)

Short Trade on ICP

The 08 Oct 2025 at 04:08:50

With 655.5548 ICP at 4.413$ per unit.

Position size of 2892.9634 $

Take profit at 4.3886 (0.55 %) and Stop Loss at 4.4252 (0.28 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.23
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.51
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.678066

15m : 0.171422

1H : -0.042822

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.008135602526
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 4.41137
  4. ema21 : 4.44305
  5. ema50 : 4.49424
  6. ema100 : 4.52507
  7. price_ema9_diff : 0.000369143
  8. ema9_ema21_diff : -0.00713116
  9. ema21_ema50_diff : -0.0113894
  10. price_ema100_diff : -0.0247684
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0808997
  14. ema_slope_21 : -0.115109
  15. ema_slope_50 : -0.0871205
  16. ema_slope_100 : -0.0529443
  17. rsi : 0.429338
  18. adx : 0.292973
  19. kc_percentage : 0.337554
  20. kc_width_percentage : 0.0382047
  21. volume_ema_diff : -0.328918
  22. volume_ema1 : 239209.5612566
  23. volume_ema2 : 356454.04567642
  24. chop : 61.4816
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 4.39325
  28. ema21 : 4.39748
  29. ema50 : 4.4182
  30. ema100 : 4.44895
  31. price_ema9_diff : 0.00449383
  32. ema9_ema21_diff : -0.000960538
  33. ema21_ema50_diff : -0.00468967
  34. price_ema100_diff : -0.00808157
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0224135
  38. ema_slope_21 : -0.0404144
  39. ema_slope_50 : -0.0379987
  40. ema_slope_100 : -0.0325578
  41. rsi : 0.552555
  42. adx : 0.332377
  43. kc_percentage : 0.751673
  44. kc_width_percentage : 0.0145828
  45. volume_ema_diff : -0.170885
  46. volume_ema1 : 71805.196226208
  47. volume_ema2 : 86604.72786137
  48. chop : 64.1454
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 4.3979
  52. ema21 : 4.3903
  53. ema50 : 4.39261
  54. ema100 : 4.40278
  55. price_ema9_diff : 0.00343142
  56. ema9_ema21_diff : 0.0017323
  57. ema21_ema50_diff : -0.000526547
  58. price_ema100_diff : 0.00231959
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0317069
  62. ema_slope_21 : 0.0166202
  63. ema_slope_50 : -0.000473272
  64. ema_slope_100 : -0.00582558
  65. rsi : 0.68826
  66. adx : 0.207835
  67. kc_percentage : 1.20017
  68. kc_width_percentage : 0.00725453
  69. volume_ema_diff : -0.0534296
  70. volume_ema1 : 25945.527479748
  71. volume_ema2 : 27410.037305449
  72. chop : 39.4898
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    121536
  77. 5m_price_ema100_diff: 
    0.000408836
  78. 5m_price: 
    121586
  79. 5m_correlation_with_coin: 
    0.678066
  80. btc_indicators
  81. 15m_ema100: 
    122166
  82. 15m_price_ema100_diff: 
    -0.00474992
  83. 15m_price: 
    121586
  84. 15m_correlation_with_coin: 
    0.171422
  85. btc_indicators
  86. 1H_ema100: 
    122995
  87. 1H_price_ema100_diff: 
    -0.0114614
  88. 1H_price: 
    121586
  89. 1H_correlation_with_coin: 
    -0.042822
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Oct 2025
04:08:50		 08 Oct 2025
04:20:00		 11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.413 4.4252 4.3886 2 2.601
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 4.413
  • Stop Loss: 4.4252
  • Take Profit: 4.3886

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4252 - 4.413 = 0.0122

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.413 - 4.3886 = 0.0244

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0244 / 0.0122 = 2

📌 Position Size

Amount Margin Quantity Leverage
2892.9634 100 655.5548 28.93
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 0.0122

Taille de position = 8 / 0.0122 = 655.74

Taille de position USD = 655.74 x 4.413 = 2893.78

Donc, tu peux acheter 655.74 avec un stoploss a 4.4252

Avec un position size USD de 2893.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 655.74 x 0.0122 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 655.74 x 0.0244 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 655.74
  • Taille de position USD 2893.78
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.55 % 16 $
SL % Target SL $ Target
0.28 % 8 $
PNL PNL %
-8 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3626 % 131.14 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.3886
            [entry_price] => 4.413
            [stop_loss] => 4.42642
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 04:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.3886
            [entry_price] => 4.413
            [stop_loss] => 4.42764
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 04:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.3886
            [entry_price] => 4.413
            [stop_loss] => 4.42886
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 04:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.3886
            [entry_price] => 4.413
            [stop_loss] => 4.4313
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 04:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.037
            [rr_ratio] => 0.22
            [high] => 4.45000000
            [low] => 4.40500000
            [mfe_pct] => 0.18
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T04:08:50-04:00
            [end_at] => 2025-10-08T06:08:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.087
            [rr_ratio] => 0.09
            [high] => 4.50000000
            [low] => 4.40500000
            [mfe_pct] => 0.18
            [mae_pct] => 1.97
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T04:08:50-04:00
            [end_at] => 2025-10-08T11:08:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.42000000
            [high_after] => 4.50000000
            [low_before] => 4.34200000
            [low_after] => 4.40500000
            [is_new_high] => 
            [is_new_low] => 
        )

)