Short Trade on ICP 11 Oct 2025 at 01:06:59

Take profit at 3.086 (2.5 %) and Stop Loss at 3.2045 (1.25 %)

Short Trade on ICP

The 11 Oct 2025 at 01:06:59

With 202.4811 ICP at 3.165$ per unit.

Position size of 640.8527 $

Take profit at 3.086 (2.5 %) and Stop Loss at 3.2045 (1.25 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.43
Prediction Score: 5
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
1 0.58
Prediction 3 Probability
1 0.56
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 : 0.340706

15m : -0.049751

1H : 0.035114

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.02633990537
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 3.22668
  4. ema21 : 3.57157
  5. ema50 : 3.95299
  6. ema100 : 4.18542
  7. price_ema9_diff : -0.0191167
  8. ema9_ema21_diff : -0.0965648
  9. ema21_ema50_diff : -0.0964888
  10. price_ema100_diff : -0.243804
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -2.10083
  14. ema_slope_21 : -1.49221
  15. ema_slope_50 : -0.821936
  16. ema_slope_100 : -0.466979
  17. rsi : 0.284833
  18. adx : 0.550699
  19. kc_percentage : 0.0451214
  20. kc_width_percentage : 0.266405
  21. volume_ema_diff : -0.279581
  22. volume_ema1 : 761561.70376309
  23. volume_ema2 : 1057110.5016315
  24. chop : -2.09834
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 3.11267
  29. ema21 : 3.11349
  30. ema50 : 3.35941
  31. ema100 : 3.69013
  32. price_ema9_diff : 0.0168114
  33. ema9_ema21_diff : -0.000264998
  34. ema21_ema50_diff : -0.0732038
  35. price_ema100_diff : -0.142306
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.36612
  39. ema_slope_21 : -0.0315156
  40. ema_slope_50 : -0.376306
  41. ema_slope_100 : -0.346842
  42. rsi : 0.510113
  43. adx : 0.398523
  44. kc_percentage : 0.700279
  45. kc_width_percentage : 0.0885472
  46. volume_ema_diff : -0.708874
  47. volume_ema1 : 117706.11332948
  48. volume_ema2 : 404313.35092096
  49. chop : 66.559
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 3.13982
  54. ema21 : 3.11221
  55. ema50 : 3.08814
  56. ema100 : 3.1791
  57. price_ema9_diff : 0.00801725
  58. ema9_ema21_diff : 0.00887143
  59. ema21_ema50_diff : 0.00779516
  60. price_ema100_diff : -0.0044374
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.157759
  64. ema_slope_21 : 0.137528
  65. ema_slope_50 : 0.0734971
  66. ema_slope_100 : -0.0343793
  67. rsi : 0.679944
  68. adx : 0.230481
  69. kc_percentage : 1.02768
  70. kc_width_percentage : 0.0304262
  71. volume_ema_diff : -0.594877
  72. volume_ema1 : 34795.75484715
  73. volume_ema2 : 85889.391072927
  74. chop : 55.7287
  75. regime : bull_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112728
  80. 5m_price_ema100_diff:
    -0.000860814
  81. 5m_price:
    112631
  82. 5m_correlation_with_coin:
    0.340706
  83. btc_indicators
  84. 15m_ema100:
    116255
  85. 15m_price_ema100_diff:
    -0.0311683
  86. 15m_price:
    112631
  87. 15m_correlation_with_coin:
    -0.049751
  88. btc_indicators
  89. 1H_ema100:
    120222
  90. 1H_price_ema100_diff:
    -0.0631411
  91. 1H_price:
    112631
  92. 1H_correlation_with_coin:
    0.035114
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
01:06:59
11 Oct 2025
02:00:00
53 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.165 3.2045 3.086 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 3.165
  • Stop Loss: 3.2045
  • Take Profit: 3.086

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.2045 - 3.165 = 0.0395

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.165 - 3.086 = 0.079

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.079 / 0.0395 = 2

📌 Position Size

Amount Margin Quantity Leverage
640.8527 100 202.4811 6.41
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 0.0395

Taille de position = 8 / 0.0395 = 202.53

Taille de position USD = 202.53 x 3.165 = 641.01

Donc, tu peux acheter 202.53 avec un stoploss a 3.2045

Avec un position size USD de 641.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 202.53 x 0.0395 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 202.53 x 0.079 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 202.53
  • Taille de position USD 641.01
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.5 % 16 $
SL % Target SL $ Target
1.25 % 8 $
PNL PNL %
-8 $ -1.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5798 % 126.59 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.086
            [entry_price] => 3.165
            [stop_loss] => 3.20845
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 02:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.086
            [entry_price] => 3.165
            [stop_loss] => 3.2124
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 02:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.086
            [entry_price] => 3.165
            [stop_loss] => 3.21635
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 02:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.086
            [entry_price] => 3.165
            [stop_loss] => 3.22425
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 02:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.047
            [max_drawdown] => 0.12
            [rr_ratio] => 0.39
            [high] => 3.28500000
            [low] => 3.11800000
            [mfe_pct] => 1.48
            [mae_pct] => 3.79
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T01:06:59-04:00
            [end_at] => 2025-10-11T03:06:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.047
            [max_drawdown] => 0.232
            [rr_ratio] => 0.2
            [high] => 3.39700000
            [low] => 3.11800000
            [mfe_pct] => 1.48
            [mae_pct] => 7.33
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T01:06:59-04:00
            [end_at] => 2025-10-11T08:06:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.17500000
            [high_after] => 3.39700000
            [low_before] => 2.89500000
            [low_after] => 3.11800000
            [is_new_high] => 
            [is_new_low] => 
        )

)