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Short Trade on ICP

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Short Trade on ICP 11 Oct 2025 at 02:11:24

Take profit at 3.1433 (2.32 %) and Stop Loss at 3.2553 (1.16 %)

Short Trade on ICP

The 11 Oct 2025 at 02:11:24

With 214.2868 ICP at 3.218$ per unit.

Position size of 689.5748 $

Take profit at 3.1433 (2.32 %) and Stop Loss at 3.2553 (1.16 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.35
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
1 0.5
Prediction 3 Probability
0 0.66
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.446682

15m : 0.019729

1H : 0.025667

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.02488876559
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 3.22942
  4. ema21 : 3.54174
  5. ema50 : 3.92509
  6. ema100 : 4.16586
  7. price_ema9_diff : -0.00353841
  8. ema9_ema21_diff : -0.0881813
  9. ema21_ema50_diff : -0.0976671
  10. price_ema100_diff : -0.227531
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -2.05557
  14. ema_slope_21 : -1.52464
  15. ema_slope_50 : -0.860656
  16. ema_slope_100 : -0.492618
  17. rsi : 0.313552
  18. adx : 0.55577
  19. kc_percentage : 0.118163
  20. kc_width_percentage : 0.245349
  21. volume_ema_diff : -0.365865
  22. volume_ema1 : 656854.30573646
  23. volume_ema2 : 1035827.5490214
  24. chop : 0.687269
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 3.15291
  28. ema21 : 3.13317
  29. ema50 : 3.33197
  30. ema100 : 3.65093
  31. price_ema9_diff : 0.0206421
  32. ema9_ema21_diff : 0.00630074
  33. ema21_ema50_diff : -0.0596648
  34. price_ema100_diff : -0.118582
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.330244
  38. ema_slope_21 : 0.0677167
  39. ema_slope_50 : -0.290562
  40. ema_slope_100 : -0.308516
  41. rsi : 0.552823
  42. adx : 0.321768
  43. kc_percentage : 0.859856
  44. kc_width_percentage : 0.0751763
  45. volume_ema_diff : -0.610857
  46. volume_ema1 : 142196.9204543
  47. volume_ema2 : 365410.46200755
  48. chop : 72.7402
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 3.18445
  52. ema21 : 3.15702
  53. ema50 : 3.10948
  54. ema100 : 3.06348
  55. price_ema9_diff : 0.0105335
  56. ema9_ema21_diff : 0.00868915
  57. ema21_ema50_diff : 0.0152873
  58. price_ema100_diff : 0.0504388
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.116956
  62. ema_slope_21 : 0.113261
  63. ema_slope_50 : 0.103864
  64. ema_slope_100 : 0.0791329
  65. rsi : 0.713935
  66. adx : 0.291085
  67. kc_percentage : 1.11644
  68. kc_width_percentage : 0.0297331
  69. volume_ema_diff : -0.295573
  70. volume_ema1 : 44565.452924927
  71. volume_ema2 : 63264.875194939
  72. chop : 48.9425
  73. regime : bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112442
  77. 5m_price_ema100_diff: 
    -0.00269446
  78. 5m_price: 
    112139
  79. 5m_correlation_with_coin: 
    0.446682
  80. btc_indicators
  81. 15m_ema100: 
    115947
  82. 15m_price_ema100_diff: 
    -0.0328411
  83. 15m_price: 
    112139
  84. 15m_correlation_with_coin: 
    0.019729
  85. btc_indicators
  86. 1H_ema100: 
    120066
  87. 1H_price_ema100_diff: 
    -0.0660232
  88. 1H_price: 
    112139
  89. 1H_correlation_with_coin: 
    0.025667
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
02:11:24		 11 Oct 2025
02:25:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.218 3.2553 3.1433 2 2.412
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 3.218
  • Stop Loss: 3.2553
  • Take Profit: 3.1433

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.2553 - 3.218 = 0.0373

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.218 - 3.1433 = 0.0747

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0747 / 0.0373 = 2.0027

📌 Position Size

Amount Margin Quantity Leverage
689.5748 100 214.2868 6.90
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 0.0373

Taille de position = 8 / 0.0373 = 214.48

Taille de position USD = 214.48 x 3.218 = 690.2

Donc, tu peux acheter 214.48 avec un stoploss a 3.2553

Avec un position size USD de 690.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 214.48 x 0.0373 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 214.48 x 0.0747 = 16.02

Si Take Profit atteint, tu gagneras 16.02$

Résumé

  • Taille de position 214.48
  • Taille de position USD 690.2
  • Perte potentielle 8
  • Gain potentiel 16.02
  • Risk-Reward Ratio 2.0027

📌 Peformances

TP % Target TP $ Target
2.32 % 16.01 $
SL % Target SL $ Target
1.16 % 7.99 $
PNL PNL %
-7.99 $ -1.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3673 % 117.96 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.1433
            [entry_price] => 3.218
            [stop_loss] => 3.25903
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 02:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.1433
            [entry_price] => 3.218
            [stop_loss] => 3.26276
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 02:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.1433
            [entry_price] => 3.218
            [stop_loss] => 3.26649
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 02:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.1433
            [entry_price] => 3.218
            [stop_loss] => 3.27395
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 02:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.023
            [max_drawdown] => 0.067
            [rr_ratio] => 0.34
            [high] => 3.28500000
            [low] => 3.19500000
            [mfe_pct] => 0.71
            [mae_pct] => 2.08
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T02:11:24-04:00
            [end_at] => 2025-10-11T04:11:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.023
            [max_drawdown] => 0.179
            [rr_ratio] => 0.13
            [high] => 3.39700000
            [low] => 3.19500000
            [mfe_pct] => 0.71
            [mae_pct] => 5.56
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T02:11:24-04:00
            [end_at] => 2025-10-11T09:11:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.22100000
            [high_after] => 3.39700000
            [low_before] => 3.01700000
            [low_after] => 3.19500000
            [is_new_high] => 
            [is_new_low] => 
        )

)