Short Trade on ICP 11 Oct 2025 at 04:57:23

Take profit at 3.2809 (2 %) and Stop Loss at 3.3815 (1 %)

Short Trade on ICP

The 11 Oct 2025 at 04:57:23

With 238.4616 ICP at 3.348$ per unit.

Position size of 798.3694 $

Take profit at 3.2809 (2 %) and Stop Loss at 3.3815 (1 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 2.72
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
1 0.49
Prediction 3 Probability
0 0.62
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 : 0.592351

15m : 0.029697

1H : -0.044381

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.02236558628
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 3.25531
  4. ema21 : 3.49935
  5. ema50 : 3.87677
  6. ema100 : 4.13232
  7. price_ema9_diff : 0.0284724
  8. ema9_ema21_diff : -0.0697378
  9. ema21_ema50_diff : -0.097355
  10. price_ema100_diff : -0.189801
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -1.83861
  14. ema_slope_21 : -1.51204
  15. ema_slope_50 : -0.902852
  16. ema_slope_100 : -0.527228
  17. rsi : 0.385541
  18. adx : 0.549816
  19. kc_percentage : 0.319806
  20. kc_width_percentage : 0.217523
  21. volume_ema_diff : -0.344967
  22. volume_ema1 : 663653.5823648
  23. volume_ema2 : 1013162.0021057
  24. chop : 5.20897
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 3.27573
  29. ema21 : 3.22526
  30. ema50 : 3.30949
  31. ema100 : 3.57294
  32. price_ema9_diff : 0.0220613
  33. ema9_ema21_diff : 0.0156469
  34. ema21_ema50_diff : -0.0254501
  35. price_ema100_diff : -0.0629586
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.36952
  39. ema_slope_21 : 0.268229
  40. ema_slope_50 : -0.0666633
  41. ema_slope_100 : -0.190967
  42. rsi : 0.628526
  43. adx : 0.200193
  44. kc_percentage : 1.15144
  45. kc_width_percentage : 0.0553032
  46. volume_ema_diff : -0.610203
  47. volume_ema1 : 110694.15631183
  48. volume_ema2 : 283979.17742933
  49. chop : 54.3383
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 3.31844
  54. ema21 : 3.28734
  55. ema50 : 3.23171
  56. ema100 : 3.1664
  57. price_ema9_diff : 0.00890538
  58. ema9_ema21_diff : 0.00946174
  59. ema21_ema50_diff : 0.017212
  60. price_ema100_diff : 0.0573504
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.201301
  64. ema_slope_21 : 0.155946
  65. ema_slope_50 : 0.128076
  66. ema_slope_100 : 0.103352
  67. rsi : 0.738751
  68. adx : 0.415508
  69. kc_percentage : 1.16995
  70. kc_width_percentage : 0.0260438
  71. volume_ema_diff : -0.47718
  72. volume_ema1 : 24025.794416805
  73. volume_ema2 : 45954.294937462
  74. chop : 39.3163
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111735
  80. 5m_price_ema100_diff:
    -0.00287032
  81. 5m_price:
    111415
  82. 5m_correlation_with_coin:
    0.592351
  83. btc_indicators
  84. 15m_ema100:
    114986
  85. 15m_price_ema100_diff:
    -0.0310347
  86. 15m_price:
    111417
  87. 15m_correlation_with_coin:
    0.029697
  88. btc_indicators
  89. 1H_ema100:
    119713
  90. 1H_price_ema100_diff:
    -0.0693161
  91. 1H_price:
    111415
  92. 1H_correlation_with_coin:
    -0.044381
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
04:57:23
11 Oct 2025
05:00:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.348 3.3815 3.2809 2 2.679
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 3.348
  • Stop Loss: 3.3815
  • Take Profit: 3.2809

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.3815 - 3.348 = 0.0335

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.348 - 3.2809 = 0.0671

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0671 / 0.0335 = 2.003

📌 Position Size

Amount Margin Quantity Leverage
798.3694 100 238.4616 7.98
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 0.0335

Taille de position = 8 / 0.0335 = 238.81

Taille de position USD = 238.81 x 3.348 = 799.54

Donc, tu peux acheter 238.81 avec un stoploss a 3.3815

Avec un position size USD de 799.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 238.81 x 0.0335 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 238.81 x 0.0671 = 16.02

Si Take Profit atteint, tu gagneras 16.02$

Résumé

  • Taille de position 238.81
  • Taille de position USD 799.54
  • Perte potentielle 8
  • Gain potentiel 16.02
  • Risk-Reward Ratio 2.003

📌 Peformances

TP % Target TP $ Target
2 % 16 $
SL % Target SL $ Target
1 % 7.99 $
PNL PNL %
-7.99 $ -1.00
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4636 % 146.27 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.2809
            [entry_price] => 3.348
            [stop_loss] => 3.38485
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.2809
            [entry_price] => 3.348
            [stop_loss] => 3.3882
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.2809
            [entry_price] => 3.348
            [stop_loss] => 3.39155
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.2809
            [entry_price] => 3.348
            [stop_loss] => 3.39825
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 07:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.057
            [max_drawdown] => 0.049
            [rr_ratio] => 1.16
            [high] => 3.39700000
            [low] => 3.29100000
            [mfe_pct] => 1.7
            [mae_pct] => 1.46
            [mfe_mae_ratio] => 1.16
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T04:57:23-04:00
            [end_at] => 2025-10-11T06:57:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.146
            [max_drawdown] => 0.049
            [rr_ratio] => 2.98
            [high] => 3.39700000
            [low] => 3.20200000
            [mfe_pct] => 4.36
            [mae_pct] => 1.46
            [mfe_mae_ratio] => 2.98
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T04:57:23-04:00
            [end_at] => 2025-10-11T11:57:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.35800000
            [high_after] => 3.39700000
            [low_before] => 3.11800000
            [low_after] => 3.20200000
            [is_new_high] => 
            [is_new_low] => 
        )

)