Short Trade on ICP 09 Oct 2025 at 18:36:29

Take profit at 4.3373 (0.43 %) and Stop Loss at 4.3653 (0.21 %)

Short Trade on ICP

The 09 Oct 2025 at 18:36:29

With 856.684 ICP at 4.356$ per unit.

Position size of 3731.7155 $

Take profit at 4.3373 (0.43 %) and Stop Loss at 4.3653 (0.21 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.44
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
2 0.38
Prediction 3 Probability
0 0.62
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_low

5m_regime : range_low

BTC Correlation Score

5m : 0.644442

15m : -0.021756

1H : -0.074885

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.3
  4. atr: 0.006225554917
Details
  1. score: 1.3
  2. 1H
  3. ema9 : 4.33627
  4. ema21 : 4.36291
  5. ema50 : 4.4121
  6. ema100 : 4.45352
  7. price_ema9_diff : 0.00454928
  8. ema9_ema21_diff : -0.00610707
  9. ema21_ema50_diff : -0.011148
  10. price_ema100_diff : -0.0218979
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.10849
  14. ema_slope_21 : -0.124669
  15. ema_slope_50 : -0.0913604
  16. ema_slope_100 : -0.0606472
  17. rsi : 0.469996
  18. adx : 0.334177
  19. kc_percentage : 0.470626
  20. kc_width_percentage : 0.0362574
  21. volume_ema_diff : -0.530675
  22. volume_ema1 : 132834.02310942
  23. volume_ema2 : 283032.20741155
  24. chop : 61.1188
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 4.33683
  29. ema21 : 4.33148
  30. ema50 : 4.34409
  31. ema100 : 4.3784
  32. price_ema9_diff : 0.00441967
  33. ema9_ema21_diff : 0.00123421
  34. ema21_ema50_diff : -0.00290209
  35. price_ema100_diff : -0.00511824
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0181484
  39. ema_slope_21 : 0.00288143
  40. ema_slope_50 : -0.0167978
  41. ema_slope_100 : -0.0254111
  42. rsi : 0.591611
  43. adx : 0.20061
  44. kc_percentage : 0.922986
  45. kc_width_percentage : 0.0132853
  46. volume_ema_diff : -0.659636
  47. volume_ema1 : 17948.439950385
  48. volume_ema2 : 52733.199446541
  49. chop : 65.7232
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 4.34605
  54. ema21 : 4.33665
  55. ema50 : 4.32984
  56. ema100 : 4.32679
  57. price_ema9_diff : 0.00228744
  58. ema9_ema21_diff : 0.00216848
  59. ema21_ema50_diff : 0.00157169
  60. price_ema100_diff : 0.00675063
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0475699
  64. ema_slope_21 : 0.0296755
  65. ema_slope_50 : 0.0141906
  66. ema_slope_100 : 0.00744327
  67. rsi : 0.699299
  68. adx : 0.239593
  69. kc_percentage : 1.30004
  70. kc_width_percentage : 0.00540679
  71. volume_ema_diff : -0.465777
  72. volume_ema1 : 5906.7941795547
  73. volume_ema2 : 11056.803130279
  74. chop : 33.3281
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121123
  80. 5m_price_ema100_diff:
    0.0030077
  81. 5m_price:
    121488
  82. 5m_correlation_with_coin:
    0.644442
  83. btc_indicators
  84. 15m_ema100:
    121776
  85. 15m_price_ema100_diff:
    -0.00215877
  86. 15m_price:
    121513
  87. 15m_correlation_with_coin:
    -0.021756
  88. btc_indicators
  89. 1H_ema100:
    122469
  90. 1H_price_ema100_diff:
    -0.00800927
  91. 1H_price:
    121488
  92. 1H_correlation_with_coin:
    -0.074885
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Oct 2025
18:36:29
09 Oct 2025
18:40:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.356 4.3653 4.3373 2.01 2.387
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 4.356
  • Stop Loss: 4.3653
  • Take Profit: 4.3373

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.3653 - 4.356 = 0.0093000000000005

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.356 - 4.3373 = 0.0187

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0187 / 0.0093000000000005 = 2.0108

📌 Position Size

Amount Margin Quantity Leverage
3731.7155 100 856.684 37.32
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 0.0093000000000005

Taille de position = 8 / 0.0093000000000005 = 860.22

Taille de position USD = 860.22 x 4.356 = 3747.12

Donc, tu peux acheter 860.22 avec un stoploss a 4.3653

Avec un position size USD de 3747.12$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 860.22 x 0.0093000000000005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 860.22 x 0.0187 = 16.09

Si Take Profit atteint, tu gagneras 16.09$

Résumé

  • Taille de position 860.22
  • Taille de position USD 3747.12
  • Perte potentielle 8
  • Gain potentiel 16.09
  • Risk-Reward Ratio 2.0108

📌 Peformances

TP % Target TP $ Target
0.43 % 16.02 $
SL % Target SL $ Target
0.21 % 7.97 $
PNL PNL %
-7.97 $ -0.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3673 % 172.04 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.3373
            [entry_price] => 4.356
            [stop_loss] => 4.36623
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-09 18:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.3373
            [entry_price] => 4.356
            [stop_loss] => 4.36716
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-09 18:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.3373
            [entry_price] => 4.356
            [stop_loss] => 4.36809
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-09 18:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.3373
            [entry_price] => 4.356
            [stop_loss] => 4.36995
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-09 18:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0089999999999995
            [max_drawdown] => 0.025
            [rr_ratio] => 0.36
            [high] => 4.38100000
            [low] => 4.34700000
            [mfe_pct] => 0.21
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 24
            [start_at] => 2025-10-09T18:36:29-04:00
            [end_at] => 2025-10-09T20:36:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.022
            [max_drawdown] => 0.085
            [rr_ratio] => 0.26
            [high] => 4.44100000
            [low] => 4.33400000
            [mfe_pct] => 0.51
            [mae_pct] => 1.95
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 84
            [start_at] => 2025-10-09T18:36:29-04:00
            [end_at] => 2025-10-10T01:36:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.36100000
            [high_after] => 4.44100000
            [low_before] => 4.30900000
            [low_after] => 4.33400000
            [is_new_high] => 
            [is_new_low] => 
        )

)