Short Trade on ICP 11 Oct 2025 at 04:47:32

Take profit at 3.2542 (2.13 %) and Stop Loss at 3.3604 (1.06 %)

Short Trade on ICP

The 11 Oct 2025 at 04:47:32

With 226.0156 ICP at 3.325$ per unit.

Position size of 751.5018 $

Take profit at 3.2542 (2.13 %) and Stop Loss at 3.3604 (1.06 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.4
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.61
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.573502

15m : -0.03793

1H : 0.102985

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.02359719263
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 3.25071
  4. ema21 : 3.49725
  5. ema50 : 3.87587
  6. ema100 : 4.13186
  7. price_ema9_diff : 0.0228524
  8. ema9_ema21_diff : -0.0704969
  9. ema21_ema50_diff : -0.0976844
  10. price_ema100_diff : -0.195278
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -1.84779
  14. ema_slope_21 : -1.51611
  15. ema_slope_50 : -0.904581
  16. ema_slope_100 : -0.528088
  17. rsi : 0.373767
  18. adx : 0.550167
  19. kc_percentage : 0.290657
  20. kc_width_percentage : 0.218426
  21. volume_ema_diff : -0.359449
  22. volume_ema1 : 647785.29388611
  23. volume_ema2 : 1011295.1446376
  24. chop : 5.20395
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 3.27633
  29. ema21 : 3.22553
  30. ema50 : 3.30961
  31. ema100 : 3.573
  32. price_ema9_diff : 0.0148541
  33. ema9_ema21_diff : 0.0157471
  34. ema21_ema50_diff : -0.0254024
  35. price_ema100_diff : -0.0694113
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.371114
  39. ema_slope_21 : 0.268957
  40. ema_slope_50 : -0.0663695
  41. ema_slope_100 : -0.190832
  42. rsi : 0.631171
  43. adx : 0.200193
  44. kc_percentage : 1.02568
  45. kc_width_percentage : 0.0556857
  46. volume_ema_diff : -0.631457
  47. volume_ema1 : 104384.94372982
  48. volume_ema2 : 283236.91712557
  49. chop : 54.3383
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 3.30367
  54. ema21 : 3.27538
  55. ema50 : 3.22276
  56. ema100 : 3.16208
  57. price_ema9_diff : 0.00645495
  58. ema9_ema21_diff : 0.00863846
  59. ema21_ema50_diff : 0.0163264
  60. price_ema100_diff : 0.0515207
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.176669
  64. ema_slope_21 : 0.137242
  65. ema_slope_50 : 0.117523
  66. ema_slope_100 : 0.0951526
  67. rsi : 0.69885
  68. adx : 0.398614
  69. kc_percentage : 1.00599
  70. kc_width_percentage : 0.0282618
  71. volume_ema_diff : -0.391775
  72. volume_ema1 : 30526.783618064
  73. volume_ema2 : 50189.957009167
  74. chop : 39.1801
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111681
  80. 5m_price_ema100_diff:
    -0.00234398
  81. 5m_price:
    111420
  82. 5m_correlation_with_coin:
    0.573502
  83. btc_indicators
  84. 15m_ema100:
    114986
  85. 15m_price_ema100_diff:
    -0.0310142
  86. 15m_price:
    111420
  87. 15m_correlation_with_coin:
    -0.03793
  88. btc_indicators
  89. 1H_ema100:
    119713
  90. 1H_price_ema100_diff:
    -0.0692751
  91. 1H_price:
    111420
  92. 1H_correlation_with_coin:
    0.102985
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
04:47:32
11 Oct 2025
05:00:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.325 3.3604 3.2542 2 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 3.325
  • Stop Loss: 3.3604
  • Take Profit: 3.2542

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.3604 - 3.325 = 0.0354

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.325 - 3.2542 = 0.0708

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0708 / 0.0354 = 2

📌 Position Size

Amount Margin Quantity Leverage
751.5018 100 226.0156 7.52
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 0.0354

Taille de position = 8 / 0.0354 = 225.99

Taille de position USD = 225.99 x 3.325 = 751.42

Donc, tu peux acheter 225.99 avec un stoploss a 3.3604

Avec un position size USD de 751.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 225.99 x 0.0354 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 225.99 x 0.0708 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 225.99
  • Taille de position USD 751.42
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.13 % 16 $
SL % Target SL $ Target
1.06 % 8 $
PNL PNL %
-8 $ -1.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.1654 % 203.38 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.2542
            [entry_price] => 3.325
            [stop_loss] => 3.36394
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.2542
            [entry_price] => 3.325
            [stop_loss] => 3.36748
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.2542
            [entry_price] => 3.325
            [stop_loss] => 3.37102
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.2542
            [entry_price] => 3.325
            [stop_loss] => 3.3781
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.034
            [max_drawdown] => 0.072
            [rr_ratio] => 0.47
            [high] => 3.39700000
            [low] => 3.29100000
            [mfe_pct] => 1.02
            [mae_pct] => 2.17
            [mfe_mae_ratio] => 0.47
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T04:47:32-04:00
            [end_at] => 2025-10-11T06:47:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.123
            [max_drawdown] => 0.072
            [rr_ratio] => 1.71
            [high] => 3.39700000
            [low] => 3.20200000
            [mfe_pct] => 3.7
            [mae_pct] => 2.17
            [mfe_mae_ratio] => 1.71
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T04:47:32-04:00
            [end_at] => 2025-10-11T11:47:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.34300000
            [high_after] => 3.39700000
            [low_before] => 3.11400000
            [low_after] => 3.20200000
            [is_new_high] => 
            [is_new_low] => 
        )

)