Long Trade on ICP 06 Oct 2025 at 19:24:27

Take profit at 4.6503 (0.61 %) and Stop Loss at 4.6078 (0.31 %)

Long Trade on ICP

The 06 Oct 2025 at 19:24:27

With 564.501 ICP at 4.622$ per unit.

Position size of 2609.1237 $

Take profit at 4.6503 (0.61 %) and Stop Loss at 4.6078 (0.31 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.41
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
0 0.61
Prediction 3 Probability
1 0.58
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.495857

15m : -0.248348

1H : -0.008947

1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.009447871794
Details
  1. score: 2.17
  2. 1H
  3. ema9 : 4.63943
  4. ema21 : 4.61206
  5. ema50 : 4.58352
  6. ema100 : 4.57051
  7. price_ema9_diff : -0.00375768
  8. ema9_ema21_diff : 0.00593373
  9. ema21_ema50_diff : 0.00622638
  10. price_ema100_diff : 0.0112643
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.189203
  14. ema_slope_21 : 0.132096
  15. ema_slope_50 : 0.0685217
  16. ema_slope_100 : 0.0362559
  17. rsi : 0.534554
  18. adx : 0.314608
  19. kc_percentage : 0.549623
  20. kc_width_percentage : 0.0353442
  21. volume_ema_diff : 0.105863
  22. volume_ema1 : 285399.40932259
  23. volume_ema2 : 258078.30141466
  24. chop : 49.8834
  25. regime : bull_high
  26. ¸
  27. 15m
  28. ema9 : 4.64727
  29. ema21 : 4.64937
  30. ema50 : 4.62916
  31. ema100 : 4.59816
  32. price_ema9_diff : -0.00543803
  33. ema9_ema21_diff : -0.00045201
  34. ema21_ema50_diff : 0.00436605
  35. price_ema100_diff : 0.00518279
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0169676
  39. ema_slope_21 : 0.00627115
  40. ema_slope_50 : 0.0264075
  41. ema_slope_100 : 0.0273116
  42. rsi : 0.43545
  43. adx : 0.227168
  44. kc_percentage : 0.113346
  45. kc_width_percentage : 0.015492
  46. volume_ema_diff : -0.269976
  47. volume_ema1 : 56584.22607677
  48. volume_ema2 : 77510.186753588
  49. chop : 61.0435
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 4.63943
  54. ema21 : 4.64803
  55. ema50 : 4.65287
  56. ema100 : 4.65047
  57. price_ema9_diff : -0.00375784
  58. ema9_ema21_diff : -0.0018498
  59. ema21_ema50_diff : -0.0010402
  60. price_ema100_diff : -0.00612262
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : -0.0376038
  64. ema_slope_21 : -0.0231901
  65. ema_slope_50 : -0.00996384
  66. ema_slope_100 : -0.0029007
  67. rsi : 0.323827
  68. adx : 0.207178
  69. kc_percentage : -0.172732
  70. kc_width_percentage : 0.00822854
  71. volume_ema_diff : -0.238938
  72. volume_ema1 : 22936.887538586
  73. volume_ema2 : 30138.019345793
  74. chop : 35.1781
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    125042
  80. 5m_price_ema100_diff:
    -0.00287633
  81. 5m_price:
    124683
  82. 5m_correlation_with_coin:
    0.495857
  83. btc_indicators
  84. 15m_ema100:
    124444
  85. 15m_price_ema100_diff:
    0.00285548
  86. 15m_price:
    124800
  87. 15m_correlation_with_coin:
    -0.248348
  88. btc_indicators
  89. 1H_ema100:
    122991
  90. 1H_price_ema100_diff:
    0.0137522
  91. 1H_price:
    124683
  92. 1H_correlation_with_coin:
    -0.008947
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Oct 2025
19:24:27
06 Oct 2025
20:20:00
55 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.622 4.6078 4.6503 1.99 2.463
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 4.622
  • Stop Loss: 4.6078
  • Take Profit: 4.6503

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.6078 - 4.622 = -0.0142

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.622 - 4.6503 = -0.0283

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0283 / -0.0142 = 1.993

📌 Position Size

Amount Margin Quantity Leverage
2609.1237 100 564.501 26.09
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 -0.0142

Taille de position = 8 / -0.0142 = -563.38

Taille de position USD = -563.38 x 4.622 = -2603.94

Donc, tu peux acheter -563.38 avec un stoploss a 4.6078

Avec un position size USD de -2603.94$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -563.38 x -0.0142 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -563.38 x -0.0283 = 15.94

Si Take Profit atteint, tu gagneras 15.94$

Résumé

  • Taille de position -563.38
  • Taille de position USD -2603.94
  • Perte potentielle 8
  • Gain potentiel 15.94
  • Risk-Reward Ratio 1.993

📌 Peformances

TP % Target TP $ Target
0.61 % 15.98 $
SL % Target SL $ Target
0.31 % 8.02 $
PNL PNL %
-8.02 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3462 % 112.7 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.6503
            [entry_price] => 4.622
            [stop_loss] => 4.60638
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-06 20:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.6503
            [entry_price] => 4.622
            [stop_loss] => 4.60496
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-06 20:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.6503
            [entry_price] => 4.622
            [stop_loss] => 4.60354
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-06 20:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.6503
            [entry_price] => 4.622
            [stop_loss] => 4.6007
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-06 21:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.029
            [rr_ratio] => 0.38
            [high] => 4.63300000
            [low] => 4.59300000
            [mfe_pct] => 0.24
            [mae_pct] => 0.63
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-10-06T19:24:27-04:00
            [end_at] => 2025-10-06T21:24:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.012
            [max_drawdown] => 0.067
            [rr_ratio] => 0.18
            [high] => 4.63400000
            [low] => 4.55500000
            [mfe_pct] => 0.26
            [mae_pct] => 1.45
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 84
            [start_at] => 2025-10-06T19:24:27-04:00
            [end_at] => 2025-10-07T02:24:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.68500000
            [high_after] => 4.63400000
            [low_before] => 4.61300000
            [low_after] => 4.56700000
            [is_new_high] => 
            [is_new_low] => 
        )

)