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Long Trade on SUI

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Long Trade on SUI 29 Sep 2025 at 06:10:02

Take profit at 3.2867 (0.9 %) and Stop Loss at 3.2429 (0.45 %)

Long Trade on SUI

The 29 Sep 2025 at 06:10:02

With 547.8028 SUI at 3.2575$ per unit.

Position size of 1784.4675 $

Take profit at 3.2867 (0.9 %) and Stop Loss at 3.2429 (0.45 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.85
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.54
Prediction 2 Probability
0 0.59
Prediction 3 Probability
1 0.53
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 : 0.568524

15m : 0.015278

1H : 0.044051

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.009735864136
Details
  1. score: 2.25
  2. 1H
  3. ema9 : 3.27583
  4. ema21 : 3.25148
  5. ema50 : 3.21955
  6. ema100 : 3.20884
  7. price_ema9_diff : -0.00559736
  8. ema9_ema21_diff : 0.0074879
  9. ema21_ema50_diff : 0.00991991
  10. price_ema100_diff : 0.0151621
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.162202
  14. ema_slope_21 : 0.166184
  15. ema_slope_50 : 0.0992765
  16. ema_slope_100 : 0.0510986
  17. rsi : 0.54705
  18. adx : 0.363104
  19. kc_percentage : 0.535997
  20. kc_width_percentage : 0.0347114
  21. volume_ema_diff : 0.172215
  22. volume_ema1 : 7151698.1162355
  23. volume_ema2 : 6101011.113113
  24. chop : 46.7632
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 3.28509
  28. ema21 : 3.2875
  29. ema50 : 3.27094
  30. ema100 : 3.23712
  31. price_ema9_diff : -0.00840109
  32. ema9_ema21_diff : -0.000732606
  33. ema21_ema50_diff : 0.00506221
  34. price_ema100_diff : 0.00629416
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00666087
  38. ema_slope_21 : 0.0236767
  39. ema_slope_50 : 0.0370373
  40. ema_slope_100 : 0.0408114
  41. rsi : 0.372684
  42. adx : 0.235771
  43. kc_percentage : 0.0537426
  44. kc_width_percentage : 0.0207984
  45. volume_ema_diff : 0.883718
  46. volume_ema1 : 3572061.1464989
  47. volume_ema2 : 1896282.2580195
  48. chop : 41.0479
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 3.27511
  52. ema21 : 3.288
  53. ema50 : 3.29145
  54. ema100 : 3.28713
  55. price_ema9_diff : -0.00537769
  56. ema9_ema21_diff : -0.0039221
  57. ema21_ema50_diff : -0.00104569
  58. price_ema100_diff : -0.00901605
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0904378
  62. ema_slope_21 : -0.046781
  63. ema_slope_50 : -0.0135175
  64. ema_slope_100 : -0.00212443
  65. rsi : 0.275549
  66. adx : 0.277066
  67. kc_percentage : -0.24844
  68. kc_width_percentage : 0.0122845
  69. volume_ema_diff : 0.547432
  70. volume_ema1 : 1388882.5145697
  71. volume_ema2 : 897539.99580412
  72. chop : 26.4005
  73. regime : bear_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111841
  77. 5m_price_ema100_diff: 
    0.0020327
  78. 5m_price: 
    112069
  79. 5m_correlation_with_coin: 
    0.568524
  80. btc_indicators
  81. 15m_ema100: 
    111078
  82. 15m_price_ema100_diff: 
    0.00891693
  83. 15m_price: 
    112069
  84. 15m_correlation_with_coin: 
    0.015278
  85. btc_indicators
  86. 1H_ema100: 
    110430
  87. 1H_price_ema100_diff: 
    0.0148382
  88. 1H_price: 
    112069
  89. 1H_correlation_with_coin: 
    0.044051
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
06:10:02		 29 Sep 2025
06:35:00		 24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.2575 3.2429 3.2867 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 3.2575
  • Stop Loss: 3.2429
  • Take Profit: 3.2867

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.2429 - 3.2575 = -0.0146

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.2575 - 3.2867 = -0.0292

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0292 / -0.0146 = 2

📌 Position Size

Amount Margin Quantity Leverage
1784.4675 100 547.8028 17.84
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 -0.0146

Taille de position = 8 / -0.0146 = -547.95

Taille de position USD = -547.95 x 3.2575 = -1784.95

Donc, tu peux acheter -547.95 avec un stoploss a 3.2429

Avec un position size USD de -1784.95$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -547.95 x -0.0146 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -547.95 x -0.0292 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -547.95
  • Taille de position USD -1784.95
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.9 % 16 $
SL % Target SL $ Target
0.45 % 8 $
PNL PNL %
-8 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5096 % 113.7 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.2867
            [entry_price] => 3.2575
            [stop_loss] => 3.24144
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 06:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.2867
            [entry_price] => 3.2575
            [stop_loss] => 3.23998
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 06:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.2867
            [entry_price] => 3.2575
            [stop_loss] => 3.23852
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 06:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.2867
            [entry_price] => 3.2575
            [stop_loss] => 3.2356
            [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] => 0.0030000000000001
            [max_drawdown] => 0.0421
            [rr_ratio] => 0.07
            [high] => 3.26050000
            [low] => 3.21540000
            [mfe_pct] => 0.09
            [mae_pct] => 1.29
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T06:10:02-04:00
            [end_at] => 2025-09-29T08:10:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0713
            [max_drawdown] => 0.0541
            [rr_ratio] => 1.32
            [high] => 3.32880000
            [low] => 3.20340000
            [mfe_pct] => 2.19
            [mae_pct] => 1.66
            [mfe_mae_ratio] => 1.32
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T06:10:02-04:00
            [end_at] => 2025-09-29T13:10:02-04:00
        )

    [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] => 
        )

)