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Long Trade on ICP

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Long Trade on ICP 13 Oct 2025 at 07:12:45

Take profit at 3.5714 (1.35 %) and Stop Loss at 3.5003 (0.67 %)

Long Trade on ICP

The 13 Oct 2025 at 07:12:45

With 337.4782 ICP at 3.524$ per unit.

Position size of 1189.273 $

Take profit at 3.5714 (1.35 %) and Stop Loss at 3.5003 (0.67 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.71
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.54
Prediction 2 Probability
0 0.76
Prediction 3 Probability
0 0.52
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : bull_medium

5m_regime : range_medium
BTC Correlation Score

5m : 0.646803

15m : 0.09155

1H : -0.025561

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0158034921
Details
  1. score: 2.03
  2. 1H
  3. ema9 : 3.53417
  4. ema21 : 3.48252
  5. ema50 : 3.46619
  6. ema100 : 3.62031
  7. price_ema9_diff : -0.00288034
  8. ema9_ema21_diff : 0.0148333
  9. ema21_ema50_diff : 0.00471077
  10. price_ema100_diff : -0.0266039
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.186438
  14. ema_slope_21 : 0.25739
  15. ema_slope_50 : 0.0903466
  16. ema_slope_100 : -0.059279
  17. rsi : 0.58077
  18. adx : 0.264624
  19. kc_percentage : 0.667673
  20. kc_width_percentage : 0.0632889
  21. volume_ema_diff : -0.0875475
  22. volume_ema1 : 415793.09791021
  23. volume_ema2 : 455687.414596
  24. chop : 68.1247
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 3.55863
  28. ema21 : 3.54971
  29. ema50 : 3.51642
  30. ema100 : 3.45852
  31. price_ema9_diff : -0.00973191
  32. ema9_ema21_diff : 0.00251313
  33. ema21_ema50_diff : 0.0094657
  34. price_ema100_diff : 0.0189302
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0599891
  38. ema_slope_21 : 0.0804596
  39. ema_slope_50 : 0.0749347
  40. ema_slope_100 : 0.0720349
  41. rsi : 0.44888
  42. adx : 0.292155
  43. kc_percentage : 0.252595
  44. kc_width_percentage : 0.0307368
  45. volume_ema_diff : 1.1879
  46. volume_ema1 : 221659.33647269
  47. volume_ema2 : 101311.30899925
  48. chop : 45.057
  49. regime : bull_medium
    50. ¸
  50. 5m
  51. ema9 : 3.54682
  52. ema21 : 3.55969
  53. ema50 : 3.55544
  54. ema100 : 3.5394
  55. price_ema9_diff : -0.00643619
  56. ema9_ema21_diff : -0.00361534
  57. ema21_ema50_diff : 0.00119694
  58. price_ema100_diff : -0.00435315
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.0951941
  62. ema_slope_21 : -0.041756
  63. ema_slope_50 : -0.000791302
  64. ema_slope_100 : 0.0107384
  65. rsi : 0.308639
  66. adx : 0.318586
  67. kc_percentage : -0.0332612
  68. kc_width_percentage : 0.0187725
  69. volume_ema_diff : 0.981766
  70. volume_ema1 : 92480.133845569
  71. volume_ema2 : 46665.502999154
  72. chop : 25.8172
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    114977
  77. 5m_price_ema100_diff: 
    -0.00562782
  78. 5m_price: 
    114330
  79. 5m_correlation_with_coin: 
    0.646803
  80. btc_indicators
  81. 15m_ema100: 
    114193
  82. 15m_price_ema100_diff: 
    0.00119612
  83. 15m_price: 
    114330
  84. 15m_correlation_with_coin: 
    0.09155
  85. btc_indicators
  86. 1H_ema100: 
    115255
  87. 1H_price_ema100_diff: 
    -0.00803178
  88. 1H_price: 
    114330
  89. 1H_correlation_with_coin: 
    -0.025561
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Oct 2025
07:12:45		 13 Oct 2025
07:20:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.524 3.5003 3.5714 2 2.548
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 3.524
  • Stop Loss: 3.5003
  • Take Profit: 3.5714

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.5003 - 3.524 = -0.0237

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.524 - 3.5714 = -0.0474

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0474 / -0.0237 = 2

📌 Position Size

Amount Margin Quantity Leverage
1189.273 100 337.4782 11.89
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 -0.0237

Taille de position = 8 / -0.0237 = -337.55

Taille de position USD = -337.55 x 3.524 = -1189.53

Donc, tu peux acheter -337.55 avec un stoploss a 3.5003

Avec un position size USD de -1189.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -337.55 x -0.0237 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -337.55 x -0.0474 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -337.55
  • Taille de position USD -1189.53
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.35 % 16 $
SL % Target SL $ Target
0.67 % 8 $
PNL PNL %
-8 $ -0.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4472 % 215.2 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.5714
            [entry_price] => 3.524
            [stop_loss] => 3.49793
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-13 07:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.5714
            [entry_price] => 3.524
            [stop_loss] => 3.49556
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-13 07:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.5714
            [entry_price] => 3.524
            [stop_loss] => 3.49319
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-13 07:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.5714
            [entry_price] => 3.524
            [stop_loss] => 3.48845
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-13 07:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.014
            [max_drawdown] => 0.118
            [rr_ratio] => 0.12
            [high] => 3.53800000
            [low] => 3.40600000
            [mfe_pct] => 0.4
            [mae_pct] => 3.35
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-10-13T07:12:45-04:00
            [end_at] => 2025-10-13T09:12:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.121
            [max_drawdown] => 0.118
            [rr_ratio] => 1.03
            [high] => 3.64500000
            [low] => 3.40600000
            [mfe_pct] => 3.43
            [mae_pct] => 3.35
            [mfe_mae_ratio] => 1.03
            [candles_analyzed] => 84
            [start_at] => 2025-10-13T07:12:45-04:00
            [end_at] => 2025-10-13T14:12:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.60200000
            [high_after] => 3.59300000
            [low_before] => 3.49900000
            [low_after] => 3.40600000
            [is_new_high] => 
            [is_new_low] => 
        )

)