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Short Trade on ICP

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Short Trade on ICP 12 Sep 2025 at 12:25:11

Take profit at 4.8631 (0.65 %) and Stop Loss at 4.9109 (0.32 %)

Short Trade on ICP

The 12 Sep 2025 at 12:25:11

With 501.7218 ICP at 4.895$ per unit.

Position size of 2455.9283 $

Take profit at 4.8631 (0.65 %) and Stop Loss at 4.9109 (0.32 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.66
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.58
Prediction 3 Probability
0 0.52
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.722864

15m : 0.085547

1H : -0.029463

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.01063006047
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 4.88561
  4. ema21 : 4.90053
  5. ema50 : 4.90753
  6. ema100 : 4.90362
  7. price_ema9_diff : 0.00191994
  8. ema9_ema21_diff : -0.00304264
  9. ema21_ema50_diff : -0.00142815
  10. price_ema100_diff : -0.0017597
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0929849
  14. ema_slope_21 : -0.0489884
  15. ema_slope_50 : -0.0173638
  16. ema_slope_100 : -0.00509751
  17. rsi : 0.48219
  18. adx : 0.154911
  19. kc_percentage : 0.47172
  20. kc_width_percentage : 0.0345461
  21. volume_ema_diff : 0.281153
  22. volume_ema1 : 491774.90390726
  23. volume_ema2 : 383853.23510733
  24. regime : range_high
    25. ¸
  25. 15m
  26. ema9 : 4.87072
  27. ema21 : 4.87226
  28. ema50 : 4.88824
  29. ema100 : 4.8981
  30. price_ema9_diff : 0.00498447
  31. ema9_ema21_diff : -0.000315775
  32. ema21_ema50_diff : -0.0032694
  33. price_ema100_diff : -0.000633252
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.010276
  37. ema_slope_21 : -0.00692631
  38. ema_slope_50 : -0.0185663
  39. ema_slope_100 : -0.0126441
  40. rsi : 0.542322
  41. adx : 0.20819
  42. kc_percentage : 0.764698
  43. kc_width_percentage : 0.0179061
  44. volume_ema_diff : 0.0689355
  45. volume_ema1 : 135869.06028278
  46. volume_ema2 : 127106.88316102
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 4.87979
  50. ema21 : 4.87283
  51. ema50 : 4.87097
  52. ema100 : 4.87486
  53. price_ema9_diff : 0.00311489
  54. ema9_ema21_diff : 0.00142884
  55. ema21_ema50_diff : 0.000381863
  56. price_ema100_diff : 0.00412995
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0352225
  60. ema_slope_21 : 0.0104788
  61. ema_slope_50 : 0.00212084
  62. ema_slope_100 : -0.00133207
  63. rsi : 0.642908
  64. adx : 0.210673
  65. kc_percentage : 1.0351
  66. kc_width_percentage : 0.00837029
  67. volume_ema_diff : 0.129335
  68. volume_ema1 : 53064.027808884
  69. volume_ema2 : 46986.950254859
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115037
  74. 5m_price_ema100_diff: 
    0.00207393
  75. 5m_price: 
    115276
  76. 5m_correlation_with_coin: 
    0.722864
  77. btc_indicators
  78. 15m_ema100: 
    114926
  79. 15m_price_ema100_diff: 
    0.00233265
  80. 15m_price: 
    115194
  81. 15m_correlation_with_coin: 
    0.085547
  82. btc_indicators
  83. 1H_ema100: 
    113655
  84. 1H_price_ema100_diff: 
    0.0142599
  85. 1H_price: 
    115276
  86. 1H_correlation_with_coin: 
    -0.029463
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
12:25:11		 12 Sep 2025
13:25:00		 59 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.895 4.9109 4.8631 2.01 2.532
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 4.895
  • Stop Loss: 4.9109
  • Take Profit: 4.8631

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.9109 - 4.895 = 0.0159

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.895 - 4.8631 = 0.031899999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.031899999999999 / 0.0159 = 2.0063

📌 Position Size

Amount Margin Quantity Leverage
2455.9283 100 501.7218 24.56
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 0.0159

Taille de position = 8 / 0.0159 = 503.14

Taille de position USD = 503.14 x 4.895 = 2462.87

Donc, tu peux acheter 503.14 avec un stoploss a 4.9109

Avec un position size USD de 2462.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 503.14 x 0.0159 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 503.14 x 0.031899999999999 = 16.05

Si Take Profit atteint, tu gagneras 16.05$

Résumé

  • Taille de position 503.14
  • Taille de position USD 2462.87
  • Perte potentielle 8
  • Gain potentiel 16.05
  • Risk-Reward Ratio 2.0063

📌 Peformances

TP % Target TP $ Target
0.65 % 16 $
SL % Target SL $ Target
0.32 % 7.98 $
PNL PNL %
-7.98 $ -0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3677 % 113.21 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.8631
            [entry_price] => 4.895
            [stop_loss] => 4.91249
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-12 13:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.8631
            [entry_price] => 4.895
            [stop_loss] => 4.91408
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-12 13:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.8631
            [entry_price] => 4.895
            [stop_loss] => 4.91567
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-12 13:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.8631
            [entry_price] => 4.895
            [stop_loss] => 4.91885
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-12 13:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.024999999999999
            [max_drawdown] => 0.04
            [rr_ratio] => 0.62
            [high] => 4.93500000
            [low] => 4.87000000
            [mfe_pct] => 0.51
            [mae_pct] => 0.82
            [mfe_mae_ratio] => 0.62
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T12:25:11-04:00
            [end_at] => 2025-09-12T14:25:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.024999999999999
            [max_drawdown] => 0.093000000000001
            [rr_ratio] => 0.27
            [high] => 4.98800000
            [low] => 4.87000000
            [mfe_pct] => 0.51
            [mae_pct] => 1.9
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T12:25:11-04:00
            [end_at] => 2025-09-12T19:25:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.90700000
            [high_after] => 4.98000000
            [low_before] => 4.83900000
            [low_after] => 4.87000000
            [is_new_high] => 
            [is_new_low] => 
        )

)