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Short Trade on ICP

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Short Trade on ICP 04 Oct 2025 at 18:32:21

Take profit at 4.4768 (0.34 %) and Stop Loss at 4.4996 (0.17 %)

Short Trade on ICP

The 04 Oct 2025 at 18:32:21

With 1050.3328 ICP at 4.492$ per unit.

Position size of 4718.0951 $

Take profit at 4.4768 (0.34 %) and Stop Loss at 4.4996 (0.17 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.32
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
1 0.5
Prediction 3 Probability
1 0.65
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_low

5m_regime : range_low
BTC Correlation Score

5m : 0.601457

15m : 0.04578

1H : -0.149106

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.005077755488
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 4.47703
  4. ema21 : 4.50089
  5. ema50 : 4.51298
  6. ema100 : 4.46711
  7. price_ema9_diff : 0.00334211
  8. ema9_ema21_diff : -0.00530091
  9. ema21_ema50_diff : -0.00267859
  10. price_ema100_diff : 0.00557063
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.123307
  14. ema_slope_21 : -0.1191
  15. ema_slope_50 : -0.0483086
  16. ema_slope_100 : 0.00164116
  17. rsi : 0.460473
  18. adx : 0.202721
  19. kc_percentage : 0.443554
  20. kc_width_percentage : 0.028126
  21. volume_ema_diff : -0.508405
  22. volume_ema1 : 138243.38010103
  23. volume_ema2 : 281214.52673409
  24. chop : 62.142
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 4.48111
  28. ema21 : 4.47564
  29. ema50 : 4.48782
  30. ema100 : 4.52545
  31. price_ema9_diff : 0.00242842
  32. ema9_ema21_diff : 0.00122242
  33. ema21_ema50_diff : -0.00271341
  34. price_ema100_diff : -0.00739363
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0407252
  38. ema_slope_21 : 0.0215439
  39. ema_slope_50 : -0.0086095
  40. ema_slope_100 : -0.0226356
  41. rsi : 0.579991
  42. adx : 0.174747
  43. kc_percentage : 0.866965
  44. kc_width_percentage : 0.00983831
  45. volume_ema_diff : -0.5103
  46. volume_ema1 : 27087.836685606
  47. volume_ema2 : 55315.175907272
  48. chop : 59.8937
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 4.48304
  52. ema21 : 4.47998
  53. ema50 : 4.47514
  54. ema100 : 4.47635
  55. price_ema9_diff : 0.00199768
  56. ema9_ema21_diff : 0.000682138
  57. ema21_ema50_diff : 0.00108156
  58. price_ema100_diff : 0.00349514
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.000177379
  62. ema_slope_21 : 0.00387062
  63. ema_slope_50 : 0.0056713
  64. ema_slope_100 : 0.00173421
  65. rsi : 0.647077
  66. adx : 0.286285
  67. kc_percentage : 1.08213
  68. kc_width_percentage : 0.00450958
  69. volume_ema_diff : 0.0281328
  70. volume_ema1 : 11885.397169812
  71. volume_ema2 : 11560.176852156
  72. chop : 49.5182
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    121989
  77. 5m_price_ema100_diff: 
    0.00169179
  78. 5m_price: 
    122195
  79. 5m_correlation_with_coin: 
    0.601457
  80. btc_indicators
  81. 15m_ema100: 
    122067
  82. 15m_price_ema100_diff: 
    0.00105077
  83. 15m_price: 
    122195
  84. 15m_correlation_with_coin: 
    0.04578
  85. btc_indicators
  86. 1H_ema100: 
    119730
  87. 1H_price_ema100_diff: 
    0.0205884
  88. 1H_price: 
    122195
  89. 1H_correlation_with_coin: 
    -0.149106
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Oct 2025
18:32:21		 04 Oct 2025
18:35:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.492 4.4996 4.4768 2 2.376
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 4.492
  • Stop Loss: 4.4996
  • Take Profit: 4.4768

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4996 - 4.492 = 0.0076000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.492 - 4.4768 = 0.0152

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0152 / 0.0076000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
4718.0951 100 1050.3328 47.18
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 0.0076000000000001

Taille de position = 8 / 0.0076000000000001 = 1052.63

Taille de position USD = 1052.63 x 4.492 = 4728.41

Donc, tu peux acheter 1052.63 avec un stoploss a 4.4996

Avec un position size USD de 4728.41$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1052.63 x 0.0076000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1052.63 x 0.0152 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1052.63
  • Taille de position USD 4728.41
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.34 % 15.97 $
SL % Target SL $ Target
0.17 % 7.98 $
PNL PNL %
-7.98 $ -0.17
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3117 % 184.22 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.4768
            [entry_price] => 4.492
            [stop_loss] => 4.50036
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-04 18:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.4768
            [entry_price] => 4.492
            [stop_loss] => 4.50112
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-04 18:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.4768
            [entry_price] => 4.492
            [stop_loss] => 4.50188
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-04 18:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.4768
            [entry_price] => 4.492
            [stop_loss] => 4.5034
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-04 18:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0049999999999999
            [max_drawdown] => 0.022
            [rr_ratio] => 0.23
            [high] => 4.51400000
            [low] => 4.48700000
            [mfe_pct] => 0.11
            [mae_pct] => 0.49
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 24
            [start_at] => 2025-10-04T18:32:21-04:00
            [end_at] => 2025-10-04T20:32:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.026
            [max_drawdown] => 0.117
            [rr_ratio] => 0.22
            [high] => 4.60900000
            [low] => 4.46600000
            [mfe_pct] => 0.58
            [mae_pct] => 2.6
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 84
            [start_at] => 2025-10-04T18:32:21-04:00
            [end_at] => 2025-10-05T01:32:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.50600000
            [high_after] => 4.58300000
            [low_before] => 4.45000000
            [low_after] => 4.46600000
            [is_new_high] => 
            [is_new_low] => 
        )

)