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Short Trade on ICP

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Short Trade on ICP 04 Sep 2025 at 22:03:36

Take profit at 4.705 (0.74 %) and Stop Loss at 4.7575 (0.37 %)

Short Trade on ICP

The 04 Sep 2025 at 22:03:36

With 457.17 ICP at 4.74$ per unit.

Position size of 2166.9856 $

Take profit at 4.705 (0.74 %) and Stop Loss at 4.7575 (0.37 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.62
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.63
Prediction 3 Probability
0 0.86
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.451834

15m : 0.060152

1H : 0.051579

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.01166597527
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 4.73008
  4. ema21 : 4.75552
  5. ema50 : 4.78777
  6. ema100 : 4.79167
  7. price_ema9_diff : 0.00209566
  8. ema9_ema21_diff : -0.0053487
  9. ema21_ema50_diff : -0.0067369
  10. price_ema100_diff : -0.0107838
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.126875
  14. ema_slope_21 : -0.120609
  15. ema_slope_50 : -0.069482
  16. ema_slope_100 : -0.0325662
  17. rsi : 0.454925
  18. adx : 0.262424
  19. kc_percentage : 0.416537
  20. kc_width_percentage : 0.0339335
  21. volume_ema_diff : -0.312778
  22. volume_ema1 : 185078.15329793
  23. volume_ema2 : 269313.65842658
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 4.71634
  27. ema21 : 4.71623
  28. ema50 : 4.73313
  29. ema100 : 4.76788
  30. price_ema9_diff : 0.00501527
  31. ema9_ema21_diff : 2.45365E-5
  32. ema21_ema50_diff : -0.00357065
  33. price_ema100_diff : -0.00584909
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0265228
  37. ema_slope_21 : -0.020354
  38. ema_slope_50 : -0.025725
  39. ema_slope_100 : -0.0278747
  40. rsi : 0.571788
  41. adx : 0.23023
  42. kc_percentage : 0.823542
  43. kc_width_percentage : 0.0156791
  44. volume_ema_diff : 0.378863
  45. volume_ema1 : 87832.515413065
  46. volume_ema2 : 63699.206706804
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 4.7193
  50. ema21 : 4.71109
  51. ema50 : 4.71202
  52. ema100 : 4.71591
  53. price_ema9_diff : 0.00438602
  54. ema9_ema21_diff : 0.00174103
  55. ema21_ema50_diff : -0.000195911
  56. price_ema100_diff : 0.00510699
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0303115
  60. ema_slope_21 : 0.0061261
  61. ema_slope_50 : -0.00311225
  62. ema_slope_100 : -0.00383892
  63. rsi : 0.679823
  64. adx : 0.3069
  65. kc_percentage : 1.0671
  66. kc_width_percentage : 0.010682
  67. volume_ema_diff : 1.38168
  68. volume_ema1 : 56598.738732756
  69. volume_ema2 : 23764.194441048
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110486
  74. 5m_price_ema100_diff: 
    0.00465156
  75. 5m_price: 
    111000
  76. 5m_correlation_with_coin: 
    0.451834
  77. btc_indicators
  78. 15m_ema100: 
    110641
  79. 15m_price_ema100_diff: 
    0.00324442
  80. 15m_price: 
    111000
  81. 15m_correlation_with_coin: 
    0.060152
  82. btc_indicators
  83. 1H_ema100: 
    110280
  84. 1H_price_ema100_diff: 
    0.00652554
  85. 1H_price: 
    111000
  86. 1H_correlation_with_coin: 
    0.051579
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
22:03:36		 04 Sep 2025
22:55:00		 51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.74 4.7575 4.705 2 2.487
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 4.74
  • Stop Loss: 4.7575
  • Take Profit: 4.705

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.7575 - 4.74 = 0.0175

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.74 - 4.705 = 0.035

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.035 / 0.0175 = 2

📌 Position Size

Amount Margin Quantity Leverage
2166.9856 100 457.17 21.67
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 0.0175

Taille de position = 8 / 0.0175 = 457.14

Taille de position USD = 457.14 x 4.74 = 2166.84

Donc, tu peux acheter 457.14 avec un stoploss a 4.7575

Avec un position size USD de 2166.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 457.14 x 0.0175 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 457.14 x 0.035 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 457.14
  • Taille de position USD 2166.84
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.74 % 16 $
SL % Target SL $ Target
0.37 % 8 $
PNL PNL %
-8 $ -0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4008 % 108.56 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.705
            [entry_price] => 4.74
            [stop_loss] => 4.75925
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-05 03:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.705
            [entry_price] => 4.74
            [stop_loss] => 4.761
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-05 03:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.705
            [entry_price] => 4.74
            [stop_loss] => 4.76275
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-05 03:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.705
            [entry_price] => 4.74
            [stop_loss] => 4.76625
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-05 03:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.019
            [rr_ratio] => 0.68
            [high] => 4.75900000
            [low] => 4.72700000
            [mfe_pct] => 0.27
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 0.68
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T22:03:36-04:00
            [end_at] => 2025-09-05T00:03:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.105
            [rr_ratio] => 0.12
            [high] => 4.84500000
            [low] => 4.72700000
            [mfe_pct] => 0.27
            [mae_pct] => 2.22
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T22:03:36-04:00
            [end_at] => 2025-09-05T05:03:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.76100000
            [high_after] => 4.84500000
            [low_before] => 4.68600000
            [low_after] => 4.72700000
            [is_new_high] => 
            [is_new_low] => 
        )

)