Short Trade on ICP 11 Oct 2025 at 04:31:27

Take profit at 3.244 (2.14 %) and Stop Loss at 3.3505 (1.07 %)

Short Trade on ICP

The 11 Oct 2025 at 04:31:27

With 225.3306 ICP at 3.315$ per unit.

Position size of 746.9709 $

Take profit at 3.244 (2.14 %) and Stop Loss at 3.3505 (1.07 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.96
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.63
Prediction 3 Probability
0 0.73
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.596345

15m : 0.058844

1H : -0.041162

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.02366892814
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 3.24871
  4. ema21 : 3.49635
  5. ema50 : 3.87547
  6. ema100 : 4.13166
  7. price_ema9_diff : 0.0204039
  8. ema9_ema21_diff : -0.0708273
  9. ema21_ema50_diff : -0.0978277
  10. price_ema100_diff : -0.19766
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -1.85178
  14. ema_slope_21 : -1.51789
  15. ema_slope_50 : -0.905333
  16. ema_slope_100 : -0.528462
  17. rsi : 0.368506
  18. adx : 0.550167
  19. kc_percentage : 0.278199
  20. kc_width_percentage : 0.219085
  21. volume_ema_diff : -0.381978
  22. volume_ema1 : 623216.03703527
  23. volume_ema2 : 1008404.6438316
  24. chop : 5.20395
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 3.26316
  29. ema21 : 3.21513
  30. ema50 : 3.30829
  31. ema100 : 3.57432
  32. price_ema9_diff : 0.0158844
  33. ema9_ema21_diff : 0.0149383
  34. ema21_ema50_diff : -0.028158
  35. price_ema100_diff : -0.0725531
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.375249
  39. ema_slope_21 : 0.260018
  40. ema_slope_50 : -0.0821395
  41. ema_slope_100 : -0.19851
  42. rsi : 0.619843
  43. adx : 0.198109
  44. kc_percentage : 1.0119
  45. kc_width_percentage : 0.0577828
  46. volume_ema_diff : -0.552018
  47. volume_ema1 : 131437.1002597
  48. volume_ema2 : 293398.18803025
  49. chop : 55.3819
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 3.29171
  54. ema21 : 3.26237
  55. ema50 : 3.21036
  56. ema100 : 3.14706
  57. price_ema9_diff : 0.00707474
  58. ema9_ema21_diff : 0.00899215
  59. ema21_ema50_diff : 0.0162009
  60. price_ema100_diff : 0.0533612
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.147143
  64. ema_slope_21 : 0.115374
  65. ema_slope_50 : 0.107986
  66. ema_slope_100 : 0.092734
  67. rsi : 0.70765
  68. adx : 0.398607
  69. kc_percentage : 1.0342
  70. kc_width_percentage : 0.0285752
  71. volume_ema_diff : 0.139244
  72. volume_ema1 : 58673.105210074
  73. volume_ema2 : 51501.746086063
  74. chop : 39.1309
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111667
  80. 5m_price_ema100_diff:
    -0.00659613
  81. 5m_price:
    110931
  82. 5m_correlation_with_coin:
    0.596345
  83. btc_indicators
  84. 15m_ema100:
    115022
  85. 15m_price_ema100_diff:
    -0.0355671
  86. 15m_price:
    110931
  87. 15m_correlation_with_coin:
    0.058844
  88. btc_indicators
  89. 1H_ema100:
    119703
  90. 1H_price_ema100_diff:
    -0.0732832
  91. 1H_price:
    110931
  92. 1H_correlation_with_coin:
    -0.041162
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
04:31:27
11 Oct 2025
04:55:00
23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.315 3.3505 3.244 2 2.351
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 3.315
  • Stop Loss: 3.3505
  • Take Profit: 3.244

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.3505 - 3.315 = 0.0355

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.315 - 3.244 = 0.071

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.071 / 0.0355 = 2

📌 Position Size

Amount Margin Quantity Leverage
746.9709 100 225.3306 7.47
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 0.0355

Taille de position = 8 / 0.0355 = 225.35

Taille de position USD = 225.35 x 3.315 = 747.04

Donc, tu peux acheter 225.35 avec un stoploss a 3.3505

Avec un position size USD de 747.04$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 225.35 x 0.0355 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 225.35 x 0.071 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 225.35
  • Taille de position USD 747.04
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.14 % 16 $
SL % Target SL $ Target
1.07 % 8 $
PNL PNL %
-8 $ -1.07
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2971 % 121.12 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.244
            [entry_price] => 3.315
            [stop_loss] => 3.35405
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 04:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.244
            [entry_price] => 3.315
            [stop_loss] => 3.3576
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 04:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.244
            [entry_price] => 3.315
            [stop_loss] => 3.36115
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.244
            [entry_price] => 3.315
            [stop_loss] => 3.36825
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.014
            [max_drawdown] => 0.082
            [rr_ratio] => 0.17
            [high] => 3.39700000
            [low] => 3.30100000
            [mfe_pct] => 0.42
            [mae_pct] => 2.47
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T04:31:27-04:00
            [end_at] => 2025-10-11T06:31:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.113
            [max_drawdown] => 0.082
            [rr_ratio] => 1.38
            [high] => 3.39700000
            [low] => 3.20200000
            [mfe_pct] => 3.41
            [mae_pct] => 2.47
            [mfe_mae_ratio] => 1.38
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T04:31:27-04:00
            [end_at] => 2025-10-11T11:31:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.34300000
            [high_after] => 3.39700000
            [low_before] => 3.09100000
            [low_after] => 3.20200000
            [is_new_high] => 
            [is_new_low] => 
        )

)