Web3Way Logo

Short Trade on ICP

Previous Trade Next Trade

Short Trade on ICP 10 Oct 2025 at 23:02:14

Take profit at 2.9955 (3.74 %) and Stop Loss at 3.1703 (1.87 %)

Short Trade on ICP

The 10 Oct 2025 at 23:02:14

With 137.3258 ICP at 3.112$ per unit.

Position size of 427.3578 $

Take profit at 2.9955 (3.74 %) and Stop Loss at 3.1703 (1.87 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.41
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.47
Prediction 3 Probability
0 0.68
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high

rules_regime_5m : bear_medium

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_high
BTC Correlation Score

5m : 0.343093

15m : 0.000686

1H : -0.02461

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.03883709219
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 3.26648
  4. ema21 : 3.65908
  5. ema50 : 4.0199
  6. ema100 : 4.23029
  7. price_ema9_diff : -0.0472927
  8. ema9_ema21_diff : -0.107294
  9. ema21_ema50_diff : -0.0897582
  10. price_ema100_diff : -0.264353
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -2.10899
  14. ema_slope_21 : -1.37162
  15. ema_slope_50 : -0.721093
  16. ema_slope_100 : -0.405212
  17. rsi : 0.256075
  18. adx : 0.527125
  19. kc_percentage : -0.0438509
  20. kc_width_percentage : 0.309473
  21. volume_ema_diff : 0.0733444
  22. volume_ema1 : 1176911.9935023
  23. volume_ema2 : 1096490.5090901
  24. chop : -10.1108
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 3.04853
  28. ema21 : 3.11509
  29. ema50 : 3.45449
  30. ema100 : 3.78652
  31. price_ema9_diff : 0.0208192
  32. ema9_ema21_diff : -0.0213686
  33. ema21_ema50_diff : -0.0982473
  34. price_ema100_diff : -0.178137
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0392544
  38. ema_slope_21 : -0.464143
  39. ema_slope_50 : -0.598232
  40. ema_slope_100 : -0.434771
  41. rsi : 0.457772
  42. adx : 0.531473
  43. kc_percentage : 0.518531
  44. kc_width_percentage : 0.134887
  45. volume_ema_diff : -0.738687
  46. volume_ema1 : 130395.51481405
  47. volume_ema2 : 499001.68281685
  48. chop : 86.3464
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 3.07556
  52. ema21 : 3.04028
  53. ema50 : 3.06373
  54. ema100 : 3.25451
  55. price_ema9_diff : 0.0118479
  56. ema9_ema21_diff : 0.0116018
  57. ema21_ema50_diff : -0.00765356
  58. price_ema100_diff : -0.0437903
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.360427
  62. ema_slope_21 : 0.220031
  63. ema_slope_50 : 0.0150956
  64. ema_slope_100 : -0.125432
  65. rsi : 0.646234
  66. adx : 0.198721
  67. kc_percentage : 1.0202
  68. kc_width_percentage : 0.0431346
  69. volume_ema_diff : -0.620751
  70. volume_ema1 : 46655.651193779
  71. volume_ema2 : 123021.3203257
  72. chop : 41.2612
  73. regime : range_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113462
  77. 5m_price_ema100_diff: 
    -0.0024149
  78. 5m_price: 
    113188
  79. 5m_correlation_with_coin: 
    0.343093
  80. btc_indicators
  81. 15m_ema100: 
    116968
  82. 15m_price_ema100_diff: 
    -0.032319
  83. 15m_price: 
    113188
  84. 15m_correlation_with_coin: 
    0.000686
  85. btc_indicators
  86. 1H_ema100: 
    120636
  87. 1H_price_ema100_diff: 
    -0.0617404
  88. 1H_price: 
    113188
  89. 1H_correlation_with_coin: 
    -0.02461
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Oct 2025
23:02:14		 11 Oct 2025
01:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.112 3.1703 2.9955 2 2.381
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 3.112
  • Stop Loss: 3.1703
  • Take Profit: 2.9955

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.1703 - 3.112 = 0.0583

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.112 - 2.9955 = 0.1165

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1165 / 0.0583 = 1.9983

📌 Position Size

Amount Margin Quantity Leverage
427.3578 100 137.3258 4.27
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 0.0583

Taille de position = 8 / 0.0583 = 137.22

Taille de position USD = 137.22 x 3.112 = 427.03

Donc, tu peux acheter 137.22 avec un stoploss a 3.1703

Avec un position size USD de 427.03$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 137.22 x 0.0583 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 137.22 x 0.1165 = 15.99

Si Take Profit atteint, tu gagneras 15.99$

Résumé

  • Taille de position 137.22
  • Taille de position USD 427.03
  • Perte potentielle 8
  • Gain potentiel 15.99
  • Risk-Reward Ratio 1.9983

📌 Peformances

TP % Target TP $ Target
3.74 % 16 $
SL % Target SL $ Target
1.87 % 8.01 $
PNL PNL %
-8.01 $ -1.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.0244 % 108.06 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.9955
            [entry_price] => 3.112
            [stop_loss] => 3.17613
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 01:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.9955
            [entry_price] => 3.112
            [stop_loss] => 3.18196
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 01:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.9955
            [entry_price] => 3.112
            [stop_loss] => 3.18779
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 01:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.9955
            [entry_price] => 3.112
            [stop_loss] => 3.19945
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 02:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.095
            [max_drawdown] => 0.063
            [rr_ratio] => 1.51
            [high] => 3.17500000
            [low] => 3.01700000
            [mfe_pct] => 3.05
            [mae_pct] => 2.02
            [mfe_mae_ratio] => 1.51
            [candles_analyzed] => 24
            [start_at] => 2025-10-10T23:02:14-04:00
            [end_at] => 2025-10-11T01:02:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.095
            [max_drawdown] => 0.285
            [rr_ratio] => 0.33
            [high] => 3.39700000
            [low] => 3.01700000
            [mfe_pct] => 3.05
            [mae_pct] => 9.16
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 84
            [start_at] => 2025-10-10T23:02:14-04:00
            [end_at] => 2025-10-11T06:02:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.14900000
            [high_after] => 3.39700000
            [low_before] => 2.81100000
            [low_after] => 3.01700000
            [is_new_high] => 
            [is_new_low] => 
        )

)