Short Trade on ICP 08 Oct 2025 at 04:42:42

Take profit at 4.4163 (0.62 %) and Stop Loss at 4.4578 (0.31 %)

Short Trade on ICP

The 08 Oct 2025 at 04:42:42

With 578.0986 ICP at 4.444$ per unit.

Position size of 2569.0702 $

Take profit at 4.4163 (0.62 %) and Stop Loss at 4.4578 (0.31 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.03
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.5
Prediction 3 Probability
1 0.71
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 : bull_low

BTC Correlation Score

5m : 0.678429

15m : 0.048373

1H : 0.045419

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.42
  4. atr: 0.009225646331
Details
  1. score: 1.42
  2. 1H
  3. ema9 : 4.41757
  4. ema21 : 4.44587
  5. ema50 : 4.49545
  6. ema100 : 4.52569
  7. price_ema9_diff : 0.00598256
  8. ema9_ema21_diff : -0.00636598
  9. ema21_ema50_diff : -0.0110298
  10. price_ema100_diff : -0.0180509
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0693012
  14. ema_slope_21 : -0.109897
  15. ema_slope_50 : -0.0848899
  16. ema_slope_100 : -0.051821
  17. rsi : 0.476848
  18. adx : 0.283998
  19. kc_percentage : 0.503653
  20. kc_width_percentage : 0.0406384
  21. volume_ema_diff : -0.115615
  22. volume_ema1 : 324072.05054812
  23. volume_ema2 : 366437.86794601
  24. chop : 61.601
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 4.40356
  29. ema21 : 4.40158
  30. ema50 : 4.41811
  31. ema100 : 4.44572
  32. price_ema9_diff : 0.00918239
  33. ema9_ema21_diff : 0.000450211
  34. ema21_ema50_diff : -0.00374247
  35. price_ema100_diff : -0.000387878
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0182395
  39. ema_slope_21 : -0.0181144
  40. ema_slope_50 : -0.0280966
  41. ema_slope_100 : -0.0268685
  42. rsi : 0.614662
  43. adx : 0.297907
  44. kc_percentage : 1.12283
  45. kc_width_percentage : 0.015456
  46. volume_ema_diff : -0.000742072
  47. volume_ema1 : 88236.8318797
  48. volume_ema2 : 88302.35859986
  49. chop : 50.5761
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 4.42345
  54. ema21 : 4.40835
  55. ema50 : 4.40092
  56. ema100 : 4.40687
  57. price_ema9_diff : 0.004644
  58. ema9_ema21_diff : 0.00342547
  59. ema21_ema50_diff : 0.00168782
  60. price_ema100_diff : 0.00842339
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0783973
  64. ema_slope_21 : 0.0505058
  65. ema_slope_50 : 0.0199907
  66. ema_slope_100 : 0.00520002
  67. rsi : 0.734476
  68. adx : 0.315181
  69. kc_percentage : 1.41752
  70. kc_width_percentage : 0.00854032
  71. volume_ema_diff : -0.0588253
  72. volume_ema1 : 27613.068475826
  73. volume_ema2 : 29338.942184212
  74. chop : 20.4237
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121618
  80. 5m_price_ema100_diff:
    0.00726626
  81. 5m_price:
    122502
  82. 5m_correlation_with_coin:
    0.678429
  83. btc_indicators
  84. 15m_ema100:
    122137
  85. 15m_price_ema100_diff:
    0.00152118
  86. 15m_price:
    122322
  87. 15m_correlation_with_coin:
    0.048373
  88. btc_indicators
  89. 1H_ema100:
    123013
  90. 1H_price_ema100_diff:
    -0.00416085
  91. 1H_price:
    122502
  92. 1H_correlation_with_coin:
    0.045419
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Oct 2025
04:42:42
08 Oct 2025
06:55:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.444 4.4578 4.4163 2.01 2.457
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 4.444
  • Stop Loss: 4.4578
  • Take Profit: 4.4163

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4578 - 4.444 = 0.0138

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.444 - 4.4163 = 0.0277

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0277 / 0.0138 = 2.0072

📌 Position Size

Amount Margin Quantity Leverage
2569.0702 100 578.0986 25.69
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 0.0138

Taille de position = 8 / 0.0138 = 579.71

Taille de position USD = 579.71 x 4.444 = 2576.23

Donc, tu peux acheter 579.71 avec un stoploss a 4.4578

Avec un position size USD de 2576.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 579.71 x 0.0138 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 579.71 x 0.0277 = 16.06

Si Take Profit atteint, tu gagneras 16.06$

Résumé

  • Taille de position 579.71
  • Taille de position USD 2576.23
  • Perte potentielle 8
  • Gain potentiel 16.06
  • Risk-Reward Ratio 2.0072

📌 Peformances

TP % Target TP $ Target
0.62 % 16.01 $
SL % Target SL $ Target
0.31 % 7.98 $
PNL PNL %
-7.98 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3375 % 108.7 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.4163
            [entry_price] => 4.444
            [stop_loss] => 4.45918
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 07:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.4163
            [entry_price] => 4.444
            [stop_loss] => 4.46056
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 07:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.4163
            [entry_price] => 4.444
            [stop_loss] => 4.46194
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 07:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.4163
            [entry_price] => 4.444
            [stop_loss] => 4.4647
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 07:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.027
            [max_drawdown] => 0.008
            [rr_ratio] => 3.38
            [high] => 4.45200000
            [low] => 4.41700000
            [mfe_pct] => 0.61
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 3.38
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T04:42:42-04:00
            [end_at] => 2025-10-08T06:42:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.056
            [rr_ratio] => 0.55
            [high] => 4.50000000
            [low] => 4.41300000
            [mfe_pct] => 0.7
            [mae_pct] => 1.26
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T04:42:42-04:00
            [end_at] => 2025-10-08T11:42:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.44900000
            [high_after] => 4.50000000
            [low_before] => 4.36200000
            [low_after] => 4.41300000
            [is_new_high] => 
            [is_new_low] => 
        )

)