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Long Trade on LDO

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Long Trade on LDO 30 Sep 2025 at 05:34:49

Take profit at 1.1794 (1.41 %) and Stop Loss at 1.1548 (0.71 %)

Long Trade on LDO

The 30 Sep 2025 at 05:34:49

With 977.3424 LDO at 1.163$ per unit.

Position size of 1136.6492 $

Take profit at 1.1794 (1.41 %) and Stop Loss at 1.1548 (0.71 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.81
Prediction 3 Probability
0 0.87
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : bear_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.386088

15m : 0.047212

1H : -0.00163

 1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.005456975446
Details
  1. score: 2.15
  2. 1H
  3. ema9 : 1.17509
  4. ema21 : 1.16078
  5. ema50 : 1.13452
  6. ema100 : 1.11221
  7. price_ema9_diff : -0.010293
  8. ema9_ema21_diff : 0.0123282
  9. ema21_ema50_diff : 0.0231496
  10. price_ema100_diff : 0.0456578
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.320801
  14. ema_slope_21 : 0.299636
  15. ema_slope_50 : 0.210297
  16. ema_slope_100 : 0.139778
  17. rsi : 0.542342
  18. adx : 0.429863
  19. kc_percentage : 0.512622
  20. kc_width_percentage : 0.0666823
  21. volume_ema_diff : 0.243613
  22. volume_ema1 : 1604102.3778561
  23. volume_ema2 : 1289872.2795711
  24. chop : 42.9614
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 1.1763
  28. ema21 : 1.18139
  29. ema50 : 1.17449
  30. ema100 : 1.15927
  31. price_ema9_diff : -0.0113147
  32. ema9_ema21_diff : -0.00430796
  33. ema21_ema50_diff : 0.00587509
  34. price_ema100_diff : 0.00321036
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.108004
  38. ema_slope_21 : -0.03422
  39. ema_slope_50 : 0.0284469
  40. ema_slope_100 : 0.043867
  41. rsi : 0.380331
  42. adx : 0.232236
  43. kc_percentage : 0.0318395
  44. kc_width_percentage : 0.0336379
  45. volume_ema_diff : -0.223607
  46. volume_ema1 : 368804.06179082
  47. volume_ema2 : 475023.00261833
  48. chop : 44.7941
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 1.17194
  52. ema21 : 1.17778
  53. ema50 : 1.18351
  54. ema100 : 1.18652
  55. price_ema9_diff : -0.00763
  56. ema9_ema21_diff : -0.0049598
  57. ema21_ema50_diff : -0.00484464
  58. price_ema100_diff : -0.0198277
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.129187
  62. ema_slope_21 : -0.0893018
  63. ema_slope_50 : -0.0478337
  64. ema_slope_100 : -0.0263367
  65. rsi : 0.299469
  66. adx : 0.231947
  67. kc_percentage : -0.153359
  68. kc_width_percentage : 0.0189655
  69. volume_ema_diff : -0.101751
  70. volume_ema1 : 133423.93107546
  71. volume_ema2 : 148537.89396948
  72. chop : 29.8601
  73. regime : bear_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113892
  77. 5m_price_ema100_diff: 
    -0.00599591
  78. 5m_price: 
    113210
  79. 5m_correlation_with_coin: 
    0.386088
  80. btc_indicators
  81. 15m_ema100: 
    113576
  82. 15m_price_ema100_diff: 
    -0.0032246
  83. 15m_price: 
    113210
  84. 15m_correlation_with_coin: 
    0.047212
  85. btc_indicators
  86. 1H_ema100: 
    111429
  87. 1H_price_ema100_diff: 
    0.0159752
  88. 1H_price: 
    113210
  89. 1H_correlation_with_coin: 
    -0.00163
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
05:34:49		 30 Sep 2025
05:35:00		 11 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.163 1.1548 1.1794 2 0.3128
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 1.163
  • Stop Loss: 1.1548
  • Take Profit: 1.1794

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1548 - 1.163 = -0.0082

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.163 - 1.1794 = -0.0164

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0164 / -0.0082 = 2

📌 Position Size

Amount Margin Quantity Leverage
1136.6492 100 977.3424 11.37
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 -0.0082

Taille de position = 8 / -0.0082 = -975.61

Taille de position USD = -975.61 x 1.163 = -1134.63

Donc, tu peux acheter -975.61 avec un stoploss a 1.1548

Avec un position size USD de -1134.63$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -975.61 x -0.0082 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -975.61 x -0.0164 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -975.61
  • Taille de position USD -1134.63
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.41 % 16.03 $
SL % Target SL $ Target
0.71 % 8.01 $
PNL PNL %
-8.01 $ -0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7567 % 107.32 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.1794
            [entry_price] => 1.163
            [stop_loss] => 1.15398
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 05:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.1794
            [entry_price] => 1.163
            [stop_loss] => 1.15316
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 05:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.1794
            [entry_price] => 1.163
            [stop_loss] => 1.15234
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 05:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.1794
            [entry_price] => 1.163
            [stop_loss] => 1.1507
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 05:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -9.9999999999989E-5
            [max_drawdown] => 0.0272
            [rr_ratio] => 0
            [high] => 1.16290000
            [low] => 1.13580000
            [mfe_pct] => -0.01
            [mae_pct] => 2.34
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T05:34:49-04:00
            [end_at] => 2025-09-30T07:34:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -9.9999999999989E-5
            [max_drawdown] => 0.0869
            [rr_ratio] => 0
            [high] => 1.16290000
            [low] => 1.07610000
            [mfe_pct] => -0.01
            [mae_pct] => 7.47
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T05:34:49-04:00
            [end_at] => 2025-09-30T12:34:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.20850000
            [high_after] => 1.16290000
            [low_before] => 1.16290000
            [low_after] => 1.07610000
            [is_new_high] => 
            [is_new_low] => 
        )

)