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Short Trade on ICP

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Short Trade on ICP 11 Oct 2025 at 23:12:52

Take profit at 3.0929 (1.72 %) and Stop Loss at 3.1741 (0.86 %)

Short Trade on ICP

The 11 Oct 2025 at 23:12:52

With 295.6166 ICP at 3.147$ per unit.

Position size of 930.3055 $

Take profit at 3.0929 (1.72 %) and Stop Loss at 3.1741 (0.86 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.44
Prediction Score: 5
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
1 0.53
Prediction 3 Probability
1 0.76
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_confirmed
BTC Correlation Score

5m : 0.710532

15m : 0.01987

1H : 0.121861

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.01804138538
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 3.13656
  4. ema21 : 3.22171
  5. ema50 : 3.50933
  6. ema100 : 3.82346
  7. price_ema9_diff : 0.0033258
  8. ema9_ema21_diff : -0.02643
  9. ema21_ema50_diff : -0.0819563
  10. price_ema100_diff : -0.176925
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.368734
  14. ema_slope_21 : -0.432403
  15. ema_slope_50 : -0.497187
  16. ema_slope_100 : -0.37919
  17. rsi : 0.384575
  18. adx : 0.51941
  19. kc_percentage : 0.289702
  20. kc_width_percentage : 0.0990962
  21. volume_ema_diff : -0.600512
  22. volume_ema1 : 262631.78630953
  23. volume_ema2 : 657421.11792071
  24. chop : 62.5653
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 3.11066
  28. ema21 : 3.11893
  29. ema50 : 3.15379
  30. ema100 : 3.16789
  31. price_ema9_diff : 0.0116822
  32. ema9_ema21_diff : -0.00265255
  33. ema21_ema50_diff : -0.0110551
  34. price_ema100_diff : -0.00659557
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0458573
  38. ema_slope_21 : -0.0689572
  39. ema_slope_50 : -0.0768717
  40. ema_slope_100 : -0.0439267
  41. rsi : 0.545109
  42. adx : 0.271072
  43. kc_percentage : 0.720599
  44. kc_width_percentage : 0.0421869
  45. volume_ema_diff : 0.286291
  46. volume_ema1 : 116828.22792699
  47. volume_ema2 : 90825.648665549
  48. chop : 61.9064
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 3.11637
  52. ema21 : 3.10885
  53. ema50 : 3.11364
  54. ema100 : 3.13476
  55. price_ema9_diff : 0.00982795
  56. ema9_ema21_diff : 0.00241964
  57. ema21_ema50_diff : -0.00153966
  58. price_ema100_diff : 0.00390227
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.070921
  62. ema_slope_21 : 0.0201226
  63. ema_slope_50 : -0.00591389
  64. ema_slope_100 : -0.0183261
  65. rsi : 0.640275
  66. adx : 0.116509
  67. kc_percentage : 1.00538
  68. kc_width_percentage : 0.0239001
  69. volume_ema_diff : 1.19528
  70. volume_ema1 : 62629.276081372
  71. volume_ema2 : 28529.021437142
  72. chop : 41.1569
  73. regime : bull_medium_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    110554
  77. 5m_price_ema100_diff: 
    0.000817027
  78. 5m_price: 
    110644
  79. 5m_correlation_with_coin: 
    0.710532
  80. btc_indicators
  81. 15m_ema100: 
    111234
  82. 15m_price_ema100_diff: 
    -0.00530182
  83. 15m_price: 
    110644
  84. 15m_correlation_with_coin: 
    0.01987
  85. btc_indicators
  86. 1H_ema100: 
    116739
  87. 1H_price_ema100_diff: 
    -0.052209
  88. 1H_price: 
    110644
  89. 1H_correlation_with_coin: 
    0.121861
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
23:12:52		 11 Oct 2025
23:35:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.147 3.1741 3.0929 2 2.428
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 3.147
  • Stop Loss: 3.1741
  • Take Profit: 3.0929

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.1741 - 3.147 = 0.0271

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.147 - 3.0929 = 0.0541

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0541 / 0.0271 = 1.9963

📌 Position Size

Amount Margin Quantity Leverage
930.3055 100 295.6166 9.30
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 0.0271

Taille de position = 8 / 0.0271 = 295.2

Taille de position USD = 295.2 x 3.147 = 928.99

Donc, tu peux acheter 295.2 avec un stoploss a 3.1741

Avec un position size USD de 928.99$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 295.2 x 0.0271 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 295.2 x 0.0541 = 15.97

Si Take Profit atteint, tu gagneras 15.97$

Résumé

  • Taille de position 295.2
  • Taille de position USD 928.99
  • Perte potentielle 8
  • Gain potentiel 15.97
  • Risk-Reward Ratio 1.9963

📌 Peformances

TP % Target TP $ Target
1.72 % 15.99 $
SL % Target SL $ Target
0.86 % 8.01 $
PNL PNL %
-8.01 $ -0.86
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8897 % 103.32 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.0929
            [entry_price] => 3.147
            [stop_loss] => 3.17681
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-12 00:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.0929
            [entry_price] => 3.147
            [stop_loss] => 3.17952
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-12 00:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.0929
            [entry_price] => 3.147
            [stop_loss] => 3.18223
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-12 00:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.0929
            [entry_price] => 3.147
            [stop_loss] => 3.18765
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-12 00:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.022
            [max_drawdown] => 0.051
            [rr_ratio] => 0.43
            [high] => 3.19800000
            [low] => 3.12500000
            [mfe_pct] => 0.7
            [mae_pct] => 1.62
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T23:12:52-04:00
            [end_at] => 2025-10-12T01:12:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.022
            [max_drawdown] => 0.134
            [rr_ratio] => 0.16
            [high] => 3.28100000
            [low] => 3.12500000
            [mfe_pct] => 0.7
            [mae_pct] => 4.26
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T23:12:52-04:00
            [end_at] => 2025-10-12T06:12:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.15000000
            [high_after] => 3.28100000
            [low_before] => 3.06800000
            [low_after] => 3.12500000
            [is_new_high] => 
            [is_new_low] => 
        )

)