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Short Trade on ICP

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Short Trade on ICP 12 Sep 2025 at 12:33:06

Take profit at 4.8681 (0.67 %) and Stop Loss at 4.9175 (0.34 %)

Short Trade on ICP

The 12 Sep 2025 at 12:33:06

With 486.0371 ICP at 4.901$ per unit.

Position size of 2382.068 $

Take profit at 4.8681 (0.67 %) and Stop Loss at 4.9175 (0.34 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.93
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.58
Prediction 3 Probability
0 0.61
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 : 0.718461

15m : 0.085884

1H : 0.057696

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.01097309858
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 4.88681
  4. ema21 : 4.90107
  5. ema50 : 4.90777
  6. ema100 : 4.90374
  7. price_ema9_diff : 0.0029017
  8. ema9_ema21_diff : -0.00290875
  9. ema21_ema50_diff : -0.00136489
  10. price_ema100_diff : -0.000560338
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0909609
  14. ema_slope_21 : -0.0480663
  15. ema_slope_50 : -0.0169651
  16. ema_slope_100 : -0.00489572
  17. rsi : 0.493572
  18. adx : 0.155142
  19. kc_percentage : 0.50376
  20. kc_width_percentage : 0.0350751
  21. volume_ema_diff : 0.307751
  22. volume_ema1 : 503841.09748011
  23. volume_ema2 : 385272.78729237
  24. regime : range_high
    25. ¸
  25. 15m
  26. ema9 : 4.87901
  27. ema21 : 4.87603
  28. ema50 : 4.88921
  29. ema100 : 4.89802
  30. price_ema9_diff : 0.00450549
  31. ema9_ema21_diff : 0.000612705
  32. ema21_ema50_diff : -0.00269675
  33. price_ema100_diff : 0.00060741
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0226737
  37. ema_slope_21 : 0.000497602
  38. ema_slope_50 : -0.0148192
  39. ema_slope_100 : -0.0107049
  40. rsi : 0.57039
  41. adx : 0.20966
  42. kc_percentage : 0.790595
  43. kc_width_percentage : 0.0177036
  44. volume_ema_diff : -0.108626
  45. volume_ema1 : 111608.44474712
  46. volume_ema2 : 125209.4503193
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 4.88531
  50. ema21 : 4.87605
  51. ema50 : 4.87232
  52. ema100 : 4.87459
  53. price_ema9_diff : 0.00320963
  54. ema9_ema21_diff : 0.00189941
  55. ema21_ema50_diff : 0.000765608
  56. price_ema100_diff : 0.00541737
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0475386
  60. ema_slope_21 : 0.0184488
  61. ema_slope_50 : 0.00604516
  62. ema_slope_100 : 0.00109152
  63. rsi : 0.658049
  64. adx : 0.218419
  65. kc_percentage : 1.07213
  66. kc_width_percentage : 0.00876462
  67. volume_ema_diff : -0.0466482
  68. volume_ema1 : 45501.641294893
  69. volume_ema2 : 47728.070344834
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115042
  74. 5m_price_ema100_diff: 
    0.0030069
  75. 5m_price: 
    115388
  76. 5m_correlation_with_coin: 
    0.718461
  77. btc_indicators
  78. 15m_ema100: 
    114926
  79. 15m_price_ema100_diff: 
    0.00402314
  80. 15m_price: 
    115388
  81. 15m_correlation_with_coin: 
    0.085884
  82. btc_indicators
  83. 1H_ema100: 
    113657
  84. 1H_price_ema100_diff: 
    0.0152316
  85. 1H_price: 
    115388
  86. 1H_correlation_with_coin: 
    0.057696
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
12:33:06		 12 Sep 2025
13:30:00		 56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.901 4.9175 4.8681 1.99 2.565
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 4.901
  • Stop Loss: 4.9175
  • Take Profit: 4.8681

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.9175 - 4.901 = 0.016500000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.901 - 4.8681 = 0.0329

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0329 / 0.016500000000001 = 1.9939

📌 Position Size

Amount Margin Quantity Leverage
2382.068 100 486.0371 23.82
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 0.016500000000001

Taille de position = 8 / 0.016500000000001 = 484.85

Taille de position USD = 484.85 x 4.901 = 2376.25

Donc, tu peux acheter 484.85 avec un stoploss a 4.9175

Avec un position size USD de 2376.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 484.85 x 0.016500000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 484.85 x 0.0329 = 15.95

Si Take Profit atteint, tu gagneras 15.95$

Résumé

  • Taille de position 484.85
  • Taille de position USD 2376.25
  • Perte potentielle 8
  • Gain potentiel 15.95
  • Risk-Reward Ratio 1.9939

📌 Peformances

TP % Target TP $ Target
0.67 % 15.99 $
SL % Target SL $ Target
0.34 % 8.02 $
PNL PNL %
-8.02 $ -0.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4285 % 127.26 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.8681
            [entry_price] => 4.901
            [stop_loss] => 4.91915
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-12 13:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.8681
            [entry_price] => 4.901
            [stop_loss] => 4.9208
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-12 13:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.8681
            [entry_price] => 4.901
            [stop_loss] => 4.92245
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-12 13:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.8681
            [entry_price] => 4.901
            [stop_loss] => 4.92575
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-12 13:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.035
            [rr_ratio] => 0.89
            [high] => 4.93600000
            [low] => 4.87000000
            [mfe_pct] => 0.63
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 0.89
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T12:33:06-04:00
            [end_at] => 2025-09-12T14:33:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.087000000000001
            [rr_ratio] => 0.36
            [high] => 4.98800000
            [low] => 4.87000000
            [mfe_pct] => 0.63
            [mae_pct] => 1.78
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T12:33:06-04:00
            [end_at] => 2025-09-12T19:33:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.90700000
            [high_after] => 4.98400000
            [low_before] => 4.83900000
            [low_after] => 4.87000000
            [is_new_high] => 
            [is_new_low] => 
        )

)