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Long Trade on SUI

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Long Trade on SUI 29 Sep 2025 at 06:26:15

Take profit at 3.2809 (0.8 %) and Stop Loss at 3.2416 (0.4 %)

Long Trade on SUI

The 29 Sep 2025 at 06:26:15

With 610.4187 SUI at 3.2547$ per unit.

Position size of 1986.7298 $

Take profit at 3.2809 (0.8 %) and Stop Loss at 3.2416 (0.4 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.97
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : bear_low
BTC Correlation Score

5m : 0.579936

15m : -0.0432

1H : 0.089331

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.008737172134
Details
  1. score: 2.14
  2. 1H
  3. ema9 : 3.27527
  4. ema21 : 3.25123
  5. ema50 : 3.21944
  6. ema100 : 3.20879
  7. price_ema9_diff : -0.00628222
  8. ema9_ema21_diff : 0.00739454
  9. ema21_ema50_diff : 0.00987529
  10. price_ema100_diff : 0.0143071
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.16075
  14. ema_slope_21 : 0.165519
  15. ema_slope_50 : 0.0989889
  16. ema_slope_100 : 0.0509537
  17. rsi : 0.538907
  18. adx : 0.359366
  19. kc_percentage : 0.513223
  20. kc_width_percentage : 0.0357122
  21. volume_ema_diff : 0.251684
  22. volume_ema1 : 7720264.713442
  23. volume_ema2 : 6167901.3010196
  24. chop : 46.8224
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 3.27817
  28. ema21 : 3.28408
  29. ema50 : 3.27029
  30. ema100 : 3.23872
  31. price_ema9_diff : -0.0071597
  32. ema9_ema21_diff : -0.00180153
  33. ema21_ema50_diff : 0.00421746
  34. price_ema100_diff : 0.00493298
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0125111
  38. ema_slope_21 : 0.0132633
  39. ema_slope_50 : 0.0316703
  40. ema_slope_100 : 0.0371701
  41. rsi : 0.370376
  42. adx : 0.245417
  43. kc_percentage : 0.054465
  44. kc_width_percentage : 0.0202967
  45. volume_ema_diff : 0.424121
  46. volume_ema1 : 2702784.9740792
  47. volume_ema2 : 1897861.8566686
  48. chop : 37.5082
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 3.26323
  52. ema21 : 3.2775
  53. ema50 : 3.28611
  54. ema100 : 3.28519
  55. price_ema9_diff : -0.00261611
  56. ema9_ema21_diff : -0.00435268
  57. ema21_ema50_diff : -0.00261973
  58. price_ema100_diff : -0.00928401
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.115508
  62. ema_slope_21 : -0.0740306
  63. ema_slope_50 : -0.0313068
  64. ema_slope_100 : -0.0125884
  65. rsi : 0.29639
  66. adx : 0.333388
  67. kc_percentage : -0.143699
  68. kc_width_percentage : 0.010502
  69. volume_ema_diff : -0.391707
  70. volume_ema1 : 505046.73931869
  71. volume_ema2 : 830269.1274571
  72. chop : 25.1926
  73. regime : bear_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111863
  77. 5m_price_ema100_diff: 
    0.00206554
  78. 5m_price: 
    112094
  79. 5m_correlation_with_coin: 
    0.579936
  80. btc_indicators
  81. 15m_ema100: 
    111113
  82. 15m_price_ema100_diff: 
    0.00853995
  83. 15m_price: 
    112062
  84. 15m_correlation_with_coin: 
    -0.0432
  85. btc_indicators
  86. 1H_ema100: 
    110430
  87. 1H_price_ema100_diff: 
    0.0150618
  88. 1H_price: 
    112094
  89. 1H_correlation_with_coin: 
    0.089331
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
06:26:15		 29 Sep 2025
06:35:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.2547 3.2416 3.2809 2 0.91
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 3.2547
  • Stop Loss: 3.2416
  • Take Profit: 3.2809

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.2416 - 3.2547 = -0.0131

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.2547 - 3.2809 = -0.0262

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0262 / -0.0131 = 2

📌 Position Size

Amount Margin Quantity Leverage
1986.7298 100 610.4187 19.87
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 -0.0131

Taille de position = 8 / -0.0131 = -610.69

Taille de position USD = -610.69 x 3.2547 = -1987.61

Donc, tu peux acheter -610.69 avec un stoploss a 3.2416

Avec un position size USD de -1987.61$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -610.69 x -0.0131 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -610.69 x -0.0262 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -610.69
  • Taille de position USD -1987.61
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.8 % 15.99 $
SL % Target SL $ Target
0.4 % 8 $
PNL PNL %
-8 $ -0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.424 % 105.34 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.2809
            [entry_price] => 3.2547
            [stop_loss] => 3.24029
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 06:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.2809
            [entry_price] => 3.2547
            [stop_loss] => 3.23898
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 06:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.2809
            [entry_price] => 3.2547
            [stop_loss] => 3.23767
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 06:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.2809
            [entry_price] => 3.2547
            [stop_loss] => 3.23505
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 06:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0050999999999997
            [max_drawdown] => 0.0393
            [rr_ratio] => 0.13
            [high] => 3.25980000
            [low] => 3.21540000
            [mfe_pct] => 0.16
            [mae_pct] => 1.21
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T06:26:15-04:00
            [end_at] => 2025-09-29T08:26:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0741
            [max_drawdown] => 0.0513
            [rr_ratio] => 1.44
            [high] => 3.32880000
            [low] => 3.20340000
            [mfe_pct] => 2.28
            [mae_pct] => 1.58
            [mfe_mae_ratio] => 1.44
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T06:26:15-04:00
            [end_at] => 2025-09-29T13:26:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.32460000
            [high_after] => 3.32880000
            [low_before] => 3.24820000
            [low_after] => 3.20340000
            [is_new_high] => 1
            [is_new_low] => 
        )

)