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Short Trade on ICP

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Short Trade on ICP 08 Oct 2025 at 04:51:35

Take profit at 4.4084 (0.62 %) and Stop Loss at 4.4498 (0.31 %)

Short Trade on ICP

The 08 Oct 2025 at 04:51:35

With 579.3066 ICP at 4.436$ per unit.

Position size of 2569.8042 $

Take profit at 4.4084 (0.62 %) and Stop Loss at 4.4498 (0.31 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.17
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.65
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 : range_low
BTC Correlation Score

5m : 0.65374

15m : 0.100326

1H : 0.07681

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.00920640828
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 4.41597
  4. ema21 : 4.44514
  5. ema50 : 4.49514
  6. ema100 : 4.52553
  7. price_ema9_diff : 0.00453545
  8. ema9_ema21_diff : -0.00656335
  9. ema21_ema50_diff : -0.0111226
  10. price_ema100_diff : -0.0197843
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0722944
  14. ema_slope_21 : -0.111242
  15. ema_slope_50 : -0.0854655
  16. ema_slope_100 : -0.0521109
  17. rsi : 0.465361
  18. adx : 0.282358
  19. kc_percentage : 0.464052
  20. kc_width_percentage : 0.0412527
  21. volume_ema_diff : -0.101357
  22. volume_ema1 : 329914.18251652
  23. volume_ema2 : 367125.17758935
  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 : 0.00509075
  32. ema9_ema21_diff : 0.00160248
  33. ema21_ema50_diff : -0.00287498
  34. price_ema100_diff : -0.00150647
  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 : 0.91584
  44. kc_width_percentage : 0.0160636
  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 : 4.42883
  52. ema21 : 4.41362
  53. ema50 : 4.40403
  54. ema100 : 4.40951
  55. price_ema9_diff : 0.0016174
  56. ema9_ema21_diff : 0.00344576
  57. ema21_ema50_diff : 0.00217779
  58. price_ema100_diff : 0.00600601
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0802617
  62. ema_slope_21 : 0.0564253
  63. ema_slope_50 : 0.0247695
  64. ema_slope_100 : 0.00761758
  65. rsi : 0.657868
  66. adx : 0.353573
  67. kc_percentage : 1.07204
  68. kc_width_percentage : 0.00845853
  69. volume_ema_diff : -0.427948
  70. volume_ema1 : 15854.508341819
  71. volume_ema2 : 27715.157302464
  72. chop : 25.1351
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    121674
  77. 5m_price_ema100_diff: 
    0.00788801
  78. 5m_price: 
    122633
  79. 5m_correlation_with_coin: 
    0.65374
  80. btc_indicators
  81. 15m_ema100: 
    122137
  82. 15m_price_ema100_diff: 
    0.0033043
  83. 15m_price: 
    122540
  84. 15m_correlation_with_coin: 
    0.100326
  85. btc_indicators
  86. 1H_ema100: 
    123016
  87. 1H_price_ema100_diff: 
    -0.00311138
  88. 1H_price: 
    122633
  89. 1H_correlation_with_coin: 
    0.07681
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Oct 2025
04:51:35		 08 Oct 2025
06:40:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.436 4.4498 4.4084 2 2.592
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 4.436
  • Stop Loss: 4.4498
  • Take Profit: 4.4084

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4498 - 4.436 = 0.0138

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.436 - 4.4084 = 0.0276

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0276 / 0.0138 = 2

📌 Position Size

Amount Margin Quantity Leverage
2569.8042 100 579.3066 25.70
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 0.0138

Taille de position = 8 / 0.0138 = 579.71

Taille de position USD = 579.71 x 4.436 = 2571.59

Donc, tu peux acheter 579.71 avec un stoploss a 4.4498

Avec un position size USD de 2571.59$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 579.71 x 0.0138 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 579.71 x 0.0276 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 579.71
  • Taille de position USD 2571.59
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.62 % 15.99 $
SL % Target SL $ Target
0.31 % 7.99 $
PNL PNL %
-7.99 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3607 % 115.94 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.4084
            [entry_price] => 4.436
            [stop_loss] => 4.45118
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 06:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.4084
            [entry_price] => 4.436
            [stop_loss] => 4.45256
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 06:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.4084
            [entry_price] => 4.436
            [stop_loss] => 4.45394
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 06:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.4084
            [entry_price] => 4.436
            [stop_loss] => 4.4567
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 06:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.019
            [max_drawdown] => 0.016
            [rr_ratio] => 1.19
            [high] => 4.45200000
            [low] => 4.41700000
            [mfe_pct] => 0.43
            [mae_pct] => 0.36
            [mfe_mae_ratio] => 1.19
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T04:51:35-04:00
            [end_at] => 2025-10-08T06:51:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.023
            [max_drawdown] => 0.064
            [rr_ratio] => 0.36
            [high] => 4.50000000
            [low] => 4.41300000
            [mfe_pct] => 0.52
            [mae_pct] => 1.44
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T04:51:35-04:00
            [end_at] => 2025-10-08T11:51:35-04:00
        )

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

)