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Short Trade on ICP

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Short Trade on ICP 08 Oct 2025 at 04:59:30

Take profit at 4.4123 (0.62 %) and Stop Loss at 4.4539 (0.31 %)

Short Trade on ICP

The 08 Oct 2025 at 04:59:30

With 576.8112 ICP at 4.44$ per unit.

Position size of 2561.0417 $

Take profit at 4.4123 (0.62 %) and Stop Loss at 4.4539 (0.31 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.24
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.74
Prediction 3 Probability
0 0.7
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 : 0.641816

15m : 0.094075

1H : -0.093421

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.009246237461
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 4.41677
  4. ema21 : 4.44551
  5. ema50 : 4.4953
  6. ema100 : 4.52561
  7. price_ema9_diff : 0.00525914
  8. ema9_ema21_diff : -0.00646465
  9. ema21_ema50_diff : -0.0110762
  10. price_ema100_diff : -0.0189176
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0707978
  14. ema_slope_21 : -0.110569
  15. ema_slope_50 : -0.0851777
  16. ema_slope_100 : -0.0519659
  17. rsi : 0.471167
  18. adx : 0.282358
  19. kc_percentage : 0.483829
  20. kc_width_percentage : 0.0412156
  21. volume_ema_diff : -0.0621015
  22. volume_ema1 : 346113.58119216
  23. volume_ema2 : 369030.98919825
  24. chop : 61.6249
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 4.41353
  28. ema21 : 4.40647
  29. ema50 : 4.41917
  30. ema100 : 4.44269
  31. price_ema9_diff : 0.00599705
  32. ema9_ema21_diff : 0.00160248
  33. ema21_ema50_diff : -0.00287498
  34. price_ema100_diff : -0.000606116
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0443677
  38. ema_slope_21 : -0.00266099
  39. ema_slope_50 : -0.0205068
  40. ema_slope_100 : -0.021698
  41. rsi : 0.626265
  42. adx : 0.297322
  43. kc_percentage : 0.971974
  44. kc_width_percentage : 0.0160491
  45. volume_ema_diff : -0.27446
  46. volume_ema1 : 65363.750806779
  47. volume_ema2 : 90089.919727287
  48. chop : 42.9837
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 4.43106
  52. ema21 : 4.41602
  53. ema50 : 4.40572
  54. ema100 : 4.41214
  55. price_ema9_diff : 0.00201544
  56. ema9_ema21_diff : 0.00340633
  57. ema21_ema50_diff : 0.00233893
  58. price_ema100_diff : 0.00631213
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0766762
  62. ema_slope_21 : 0.0569666
  63. ema_slope_50 : 0.0259267
  64. ema_slope_100 : 0.00765672
  65. rsi : 0.673295
  66. adx : 0.363561
  67. kc_percentage : 1.11191
  68. kc_width_percentage : 0.00847961
  69. volume_ema_diff : -0.220109
  70. volume_ema1 : 23634.54271595
  71. volume_ema2 : 30304.967695836
  72. chop : 27.5928
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    121711
  77. 5m_price_ema100_diff: 
    0.00508434
  78. 5m_price: 
    122330
  79. 5m_correlation_with_coin: 
    0.641816
  80. btc_indicators
  81. 15m_ema100: 
    122137
  82. 15m_price_ema100_diff: 
    0.0033043
  83. 15m_price: 
    122540
  84. 15m_correlation_with_coin: 
    0.094075
  85. btc_indicators
  86. 1H_ema100: 
    123010
  87. 1H_price_ema100_diff: 
    -0.00553233
  88. 1H_price: 
    122330
  89. 1H_correlation_with_coin: 
    -0.093421
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Oct 2025
04:59:30		 08 Oct 2025
06:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.44 4.4539 4.4123 1.99 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 4.44
  • Stop Loss: 4.4539
  • Take Profit: 4.4123

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4539 - 4.44 = 0.0139

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.44 - 4.4123 = 0.0277

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0277 / 0.0139 = 1.9928

📌 Position Size

Amount Margin Quantity Leverage
2561.0417 100 576.8112 25.61
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 0.0139

Taille de position = 8 / 0.0139 = 575.54

Taille de position USD = 575.54 x 4.44 = 2555.4

Donc, tu peux acheter 575.54 avec un stoploss a 4.4539

Avec un position size USD de 2555.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 575.54 x 0.0139 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 575.54 x 0.0277 = 15.94

Si Take Profit atteint, tu gagneras 15.94$

Résumé

  • Taille de position 575.54
  • Taille de position USD 2555.4
  • Perte potentielle 8
  • Gain potentiel 15.94
  • Risk-Reward Ratio 1.9928

📌 Peformances

TP % Target TP $ Target
0.62 % 15.98 $
SL % Target SL $ Target
0.31 % 8.02 $
PNL PNL %
-8.02 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4279 % 136.67 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.4123
            [entry_price] => 4.44
            [stop_loss] => 4.45529
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 06:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.4123
            [entry_price] => 4.44
            [stop_loss] => 4.45668
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 06:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.4123
            [entry_price] => 4.44
            [stop_loss] => 4.45807
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 06:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.4123
            [entry_price] => 4.44
            [stop_loss] => 4.46085
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 07:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.023000000000001
            [max_drawdown] => 0.018999999999999
            [rr_ratio] => 1.21
            [high] => 4.45900000
            [low] => 4.41700000
            [mfe_pct] => 0.52
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 1.21
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T04:59:30-04:00
            [end_at] => 2025-10-08T06:59:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.027
            [max_drawdown] => 0.06
            [rr_ratio] => 0.45
            [high] => 4.50000000
            [low] => 4.41300000
            [mfe_pct] => 0.61
            [mae_pct] => 1.35
            [mfe_mae_ratio] => 0.45
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T04:59:30-04:00
            [end_at] => 2025-10-08T11:59:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.45000000
            [high_after] => 4.50000000
            [low_before] => 4.36200000
            [low_after] => 4.41300000
            [is_new_high] => 
            [is_new_low] => 
        )

)