Short Trade on ICP 11 Oct 2025 at 02:41:30

Take profit at 3.1909 (2.06 %) and Stop Loss at 3.2916 (1.03 %)

Short Trade on ICP

The 11 Oct 2025 at 02:41:30

With 238.304 ICP at 3.258$ per unit.

Position size of 776.3944 $

Take profit at 3.1909 (2.06 %) and Stop Loss at 3.2916 (1.03 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.86
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.71
Prediction 2 Probability
0 0.65
Prediction 3 Probability
1 0.53
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 : 0.454542

15m : 0.048126

1H : -0.171628

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.02238037764
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 3.23742
  4. ema21 : 3.54537
  5. ema50 : 3.92666
  6. ema100 : 4.16665
  7. price_ema9_diff : 0.00635472
  8. ema9_ema21_diff : -0.0868601
  9. ema21_ema50_diff : -0.0971015
  10. price_ema100_diff : -0.218078
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -2.04002
  14. ema_slope_21 : -1.51765
  15. ema_slope_50 : -0.857669
  16. ema_slope_100 : -0.491127
  17. rsi : 0.334512
  18. adx : 0.551132
  19. kc_percentage : 0.174872
  20. kc_width_percentage : 0.25044
  21. volume_ema_diff : -0.274562
  22. volume_ema1 : 760252.46469715
  23. volume_ema2 : 1047992.0383109
  24. chop : 0.760384
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 3.19072
  29. ema21 : 3.15488
  30. ema50 : 3.3268
  31. ema100 : 3.63917
  32. price_ema9_diff : 0.0210852
  33. ema9_ema21_diff : 0.0113597
  34. ema21_ema50_diff : -0.0516781
  35. price_ema100_diff : -0.104742
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.419187
  39. ema_slope_21 : 0.154897
  40. ema_slope_50 : -0.231678
  41. ema_slope_100 : -0.28215
  42. rsi : 0.578507
  43. adx : 0.289267
  44. kc_percentage : 0.963954
  45. kc_width_percentage : 0.0687786
  46. volume_ema_diff : -0.63213
  47. volume_ema1 : 127968.45304325
  48. volume_ema2 : 347864.00719656
  49. chop : 58.9361
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 3.23579
  54. ema21 : 3.19881
  55. ema50 : 3.13578
  56. ema100 : 3.05194
  57. price_ema9_diff : 0.00686356
  58. ema9_ema21_diff : 0.0115586
  59. ema21_ema50_diff : 0.0201017
  60. price_ema100_diff : 0.0675144
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.243763
  64. ema_slope_21 : 0.190732
  65. ema_slope_50 : 0.151749
  66. ema_slope_100 : 0.129952
  67. rsi : 0.757362
  68. adx : 0.426288
  69. kc_percentage : 1.17139
  70. kc_width_percentage : 0.025846
  71. volume_ema_diff : -0.255759
  72. volume_ema1 : 43623.337027453
  73. volume_ema2 : 58614.577634508
  74. chop : 31.9494
  75. regime : bull_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112311
  80. 5m_price_ema100_diff:
    -0.00127529
  81. 5m_price:
    112167
  82. 5m_correlation_with_coin:
    0.454542
  83. btc_indicators
  84. 15m_ema100:
    115844
  85. 15m_price_ema100_diff:
    -0.030691
  86. 15m_price:
    112288
  87. 15m_correlation_with_coin:
    0.048126
  88. btc_indicators
  89. 1H_ema100:
    120067
  90. 1H_price_ema100_diff:
    -0.0657894
  91. 1H_price:
    112167
  92. 1H_correlation_with_coin:
    -0.171628
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
02:41:30
11 Oct 2025
04:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.258 3.2916 3.1909 2 2.436
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 3.258
  • Stop Loss: 3.2916
  • Take Profit: 3.1909

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.2916 - 3.258 = 0.0336

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.258 - 3.1909 = 0.0671

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0671 / 0.0336 = 1.997

📌 Position Size

Amount Margin Quantity Leverage
776.3944 100 238.304 7.76
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 0.0336

Taille de position = 8 / 0.0336 = 238.1

Taille de position USD = 238.1 x 3.258 = 775.73

Donc, tu peux acheter 238.1 avec un stoploss a 3.2916

Avec un position size USD de 775.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 238.1 x 0.0336 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 238.1 x 0.0671 = 15.98

Si Take Profit atteint, tu gagneras 15.98$

Résumé

  • Taille de position 238.1
  • Taille de position USD 775.73
  • Perte potentielle 8
  • Gain potentiel 15.98
  • Risk-Reward Ratio 1.997

📌 Peformances

TP % Target TP $ Target
2.06 % 15.99 $
SL % Target SL $ Target
1.03 % 8.01 $
PNL PNL %
-8.01 $ -1.03
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.7802 % 172.62 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.1909
            [entry_price] => 3.258
            [stop_loss] => 3.29496
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 04:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.1909
            [entry_price] => 3.258
            [stop_loss] => 3.29832
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 04:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.1909
            [entry_price] => 3.258
            [stop_loss] => 3.30168
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 04:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.1909
            [entry_price] => 3.258
            [stop_loss] => 3.3084
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 04:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.063
            [max_drawdown] => 0.085
            [rr_ratio] => 0.74
            [high] => 3.34300000
            [low] => 3.19500000
            [mfe_pct] => 1.93
            [mae_pct] => 2.61
            [mfe_mae_ratio] => 0.74
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T02:41:30-04:00
            [end_at] => 2025-10-11T04:41:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.063
            [max_drawdown] => 0.139
            [rr_ratio] => 0.45
            [high] => 3.39700000
            [low] => 3.19500000
            [mfe_pct] => 1.93
            [mae_pct] => 4.27
            [mfe_mae_ratio] => 0.45
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T02:41:30-04:00
            [end_at] => 2025-10-11T09:41:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.28500000
            [high_after] => 3.39700000
            [low_before] => 3.01700000
            [low_after] => 3.19500000
            [is_new_high] => 
            [is_new_low] => 
        )

)