Short Trade on ICP 11 Oct 2025 at 02:21:26

Take profit at 3.1664 (2.15 %) and Stop Loss at 3.2708 (1.08 %)

Short Trade on ICP

The 11 Oct 2025 at 02:21:26

With 229.9585 ICP at 3.236$ per unit.

Position size of 744.1456 $

Take profit at 3.1664 (2.15 %) and Stop Loss at 3.2708 (1.08 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.45
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.59
Prediction 3 Probability
1 0.54
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 : 0.460139

15m : 0.03815

1H : 0.02538

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.0231925944
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 3.23302
  4. ema21 : 3.54337
  5. ema50 : 3.9258
  6. ema100 : 4.16622
  7. price_ema9_diff : 0.000919559
  8. ema9_ema21_diff : -0.0875865
  9. ema21_ema50_diff : -0.0974125
  10. price_ema100_diff : -0.223277
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -2.04857
  14. ema_slope_21 : -1.52149
  15. ema_slope_50 : -0.859312
  16. ema_slope_100 : -0.491947
  17. rsi : 0.323145
  18. adx : 0.554325
  19. kc_percentage : 0.142413
  20. kc_width_percentage : 0.246457
  21. volume_ema_diff : -0.342356
  22. volume_ema1 : 683247.25430497
  23. volume_ema2 : 1038932.6017942
  24. chop : 0.70944
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 3.17025
  29. ema21 : 3.14287
  30. ema50 : 3.32853
  31. ema100 : 3.64401
  32. price_ema9_diff : 0.0207385
  33. ema9_ema21_diff : 0.00871257
  34. ema21_ema50_diff : -0.0557787
  35. price_ema100_diff : -0.111968
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.373134
  39. ema_slope_21 : 0.110235
  40. ema_slope_50 : -0.261786
  41. ema_slope_100 : -0.29551
  42. rsi : 0.567993
  43. adx : 0.299355
  44. kc_percentage : 0.918885
  45. kc_width_percentage : 0.0698533
  46. volume_ema_diff : -0.676336
  47. volume_ema1 : 115084.32525182
  48. volume_ema2 : 355567.28263773
  49. chop : 67.78
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 3.20358
  54. ema21 : 3.17103
  55. ema50 : 3.11744
  56. ema100 : 3.05585
  57. price_ema9_diff : 0.0101174
  58. ema9_ema21_diff : 0.0102643
  59. ema21_ema50_diff : 0.0171917
  60. price_ema100_diff : 0.0589502
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.165173
  64. ema_slope_21 : 0.137458
  65. ema_slope_50 : 0.118797
  66. ema_slope_100 : 0.0974853
  67. rsi : 0.735881
  68. adx : 0.338031
  69. kc_percentage : 1.22071
  70. kc_width_percentage : 0.0268815
  71. volume_ema_diff : -0.42226
  72. volume_ema1 : 35247.531604828
  73. volume_ema2 : 61009.421177747
  74. chop : 41.4683
  75. regime : bull_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112392
  80. 5m_price_ema100_diff:
    0.000631706
  81. 5m_price:
    112463
  82. 5m_correlation_with_coin:
    0.460139
  83. btc_indicators
  84. 15m_ema100:
    115892
  85. 15m_price_ema100_diff:
    -0.0305503
  86. 15m_price:
    112351
  87. 15m_correlation_with_coin:
    0.03815
  88. btc_indicators
  89. 1H_ema100:
    120072
  90. 1H_price_ema100_diff:
    -0.0633715
  91. 1H_price:
    112463
  92. 1H_correlation_with_coin:
    0.02538
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
02:21:26
11 Oct 2025
02:30:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.236 3.2708 3.1664 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 3.236
  • Stop Loss: 3.2708
  • Take Profit: 3.1664

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.2708 - 3.236 = 0.0348

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.236 - 3.1664 = 0.0696

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0696 / 0.0348 = 2

📌 Position Size

Amount Margin Quantity Leverage
744.1456 100 229.9585 7.44
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 0.0348

Taille de position = 8 / 0.0348 = 229.89

Taille de position USD = 229.89 x 3.236 = 743.92

Donc, tu peux acheter 229.89 avec un stoploss a 3.2708

Avec un position size USD de 743.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 229.89 x 0.0348 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 229.89 x 0.0696 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 229.89
  • Taille de position USD 743.92
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.15 % 16.01 $
SL % Target SL $ Target
1.08 % 8 $
PNL PNL %
-8 $ -1.08
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5142 % 140.8 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.1664
            [entry_price] => 3.236
            [stop_loss] => 3.27428
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 02:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.1664
            [entry_price] => 3.236
            [stop_loss] => 3.27776
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 02:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.1664
            [entry_price] => 3.236
            [stop_loss] => 3.28124
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 02:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.1664
            [entry_price] => 3.236
            [stop_loss] => 3.2882
            [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] => 0.041
            [max_drawdown] => 0.107
            [rr_ratio] => 0.38
            [high] => 3.34300000
            [low] => 3.19500000
            [mfe_pct] => 1.27
            [mae_pct] => 3.31
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T02:21:26-04:00
            [end_at] => 2025-10-11T04:21:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.041
            [max_drawdown] => 0.161
            [rr_ratio] => 0.25
            [high] => 3.39700000
            [low] => 3.19500000
            [mfe_pct] => 1.27
            [mae_pct] => 4.98
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T02:21:26-04:00
            [end_at] => 2025-10-11T09:21:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.24800000
            [high_after] => 3.39700000
            [low_before] => 3.01700000
            [low_after] => 3.19500000
            [is_new_high] => 
            [is_new_low] => 
        )

)