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Short Trade on LDO

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Short Trade on LDO 04 Sep 2025 at 19:04:02

Take profit at 1.1625 (0.62 %) and Stop Loss at 1.1733 (0.31 %)

Short Trade on LDO

The 04 Sep 2025 at 19:04:02

With 2213.4416 LDO at 1.1697$ per unit.

Position size of 2589.0626 $

Take profit at 1.1625 (0.62 %) and Stop Loss at 1.1733 (0.31 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 3
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.79
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.730145

15m : 0.070816

1H : 0.239745

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.002409520709
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 1.16879
  4. ema21 : 1.18258
  5. ema50 : 1.1942
  6. ema100 : 1.19806
  7. price_ema9_diff : 0.000775304
  8. ema9_ema21_diff : -0.0116611
  9. ema21_ema50_diff : -0.00972903
  10. price_ema100_diff : -0.0236726
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.284497
  14. ema_slope_21 : -0.228487
  15. ema_slope_50 : -0.11079
  16. ema_slope_100 : -0.0552706
  17. rsi : 0.383526
  18. adx : 0.280763
  19. kc_percentage : 0.223977
  20. kc_width_percentage : 0.0369947
  21. volume_ema_diff : -0.517756
  22. volume_ema1 : 302328.58838369
  23. volume_ema2 : 626920.5193418
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 1.16442
  27. ema21 : 1.164
  28. ema50 : 1.17372
  29. ema100 : 1.19078
  30. price_ema9_diff : 0.00453172
  31. ema9_ema21_diff : 0.000356061
  32. ema21_ema50_diff : -0.00827991
  33. price_ema100_diff : -0.0177076
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0358364
  37. ema_slope_21 : -0.00555598
  38. ema_slope_50 : -0.0461672
  39. ema_slope_100 : -0.0525585
  40. rsi : 0.561888
  41. adx : 0.277645
  42. kc_percentage : 0.804272
  43. kc_width_percentage : 0.016421
  44. volume_ema_diff : -0.58152
  45. volume_ema1 : 60018.807638628
  46. volume_ema2 : 143421.03329034
  47. regime : bear_medium
    48. ¸
  48. 5m
  49. ema9 : 1.16455
  50. ema21 : 1.16328
  51. ema50 : 1.16252
  52. ema100 : 1.16433
  53. price_ema9_diff : 0.00441566
  54. ema9_ema21_diff : 0.00109294
  55. ema21_ema50_diff : 0.000656871
  56. price_ema100_diff : 0.00461024
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.00928726
  60. ema_slope_21 : 0.00871796
  61. ema_slope_50 : 0.00463372
  62. ema_slope_100 : -0.00165068
  63. rsi : 0.666974
  64. adx : 0.186956
  65. kc_percentage : 1.13384
  66. kc_width_percentage : 0.00855369
  67. volume_ema_diff : 0.0815133
  68. volume_ema1 : 35697.8664608
  69. volume_ema2 : 33007.32944433
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110208
  74. 5m_price_ema100_diff: 
    0.0127562
  75. 5m_price: 
    111614
  76. 5m_correlation_with_coin: 
    0.730145
  77. btc_indicators
  78. 15m_ema100: 
    110632
  79. 15m_price_ema100_diff: 
    0.00887152
  80. 15m_price: 
    111614
  81. 15m_correlation_with_coin: 
    0.070816
  82. btc_indicators
  83. 1H_ema100: 
    110386
  84. 1H_price_ema100_diff: 
    0.0111199
  85. 1H_price: 
    111614
  86. 1H_correlation_with_coin: 
    0.239745
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
19:04:02		 04 Sep 2025
19:20:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1697 1.1733 1.1625 2 0.3058
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 1.1697
  • Stop Loss: 1.1733
  • Take Profit: 1.1625

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1733 - 1.1697 = 0.0036

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1697 - 1.1625 = 0.0071999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0071999999999999 / 0.0036 = 2

📌 Position Size

Amount Margin Quantity Leverage
2589.0626 100 2213.4416 25.89
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 0.0036

Taille de position = 8 / 0.0036 = 2222.22

Taille de position USD = 2222.22 x 1.1697 = 2599.33

Donc, tu peux acheter 2222.22 avec un stoploss a 1.1733

Avec un position size USD de 2599.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2222.22 x 0.0036 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2222.22 x 0.0071999999999999 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2222.22
  • Taille de position USD 2599.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.62 % 15.94 $
SL % Target SL $ Target
0.31 % 7.97 $
PNL PNL %
-7.97 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3249 % 105.56 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.1625
            [entry_price] => 1.1697
            [stop_loss] => 1.17366
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 19:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.1625
            [entry_price] => 1.1697
            [stop_loss] => 1.17402
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 19:40:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 1.1625
            [entry_price] => 1.1697
            [stop_loss] => 1.17438
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 19:40:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.1625
            [entry_price] => 1.1697
            [stop_loss] => 1.1751
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 19:40:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0137
            [max_drawdown] => 0.0041
            [rr_ratio] => 3.34
            [high] => 1.17380000
            [low] => 1.15600000
            [mfe_pct] => 1.17
            [mae_pct] => 0.35
            [mfe_mae_ratio] => 3.34
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T19:04:02-04:00
            [end_at] => 2025-09-04T21:04:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0137
            [max_drawdown] => 0.0251
            [rr_ratio] => 0.55
            [high] => 1.19480000
            [low] => 1.15600000
            [mfe_pct] => 1.17
            [mae_pct] => 2.15
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T19:04:02-04:00
            [end_at] => 2025-09-05T02:04:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.17130000
            [high_after] => 1.18280000
            [low_before] => 1.15360000
            [low_after] => 1.15600000
            [is_new_high] => 
            [is_new_low] => 
        )

)