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Short Trade on LDO

Short Trade on LDO

The 12 Dec 2025 at 22:42:33

With 5887.9562 LDO at 0.5923$ per unit.

Position size of 3487.4364 $

Take profit at 0.5896 (0.46 %) and Stop Loss at 0.5937 (0.24 %)

That's a 1.93 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.27
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.56
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.585357

15m : -0.023011

1H : 0.129912

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0009058038416
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.590282
  4. ema21 - 0.594447
  5. ema50 - 0.599476
  6. ema100 - 0.602722
  7. price_ema9_diff - 0.00341869
  8. ema9_ema21_diff - -0.00700723
  9. ema21_ema50_diff - -0.00838906
  10. price_ema100_diff - -0.0172927
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.292598
  14. ema_slope_21 - -0.200546
  15. ema_slope_50 - -0.105409
  16. ema_slope_100 - -0.0593237
  17. rsi - 0.462704
  18. adx - 0.225632
  19. kc_percentage - 0.427025
  20. kc_width_percentage - 0.0433585
  21. volume_ema_diff - -0.69516
  22. volume_ema1 - 105758.07717519
  23. volume_ema2 - 346929.80923651
  24. chop - 35.2894
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.589582
  28. ema21 - 0.589246
  29. ema50 - 0.591935
  30. ema100 - 0.596961
  31. price_ema9_diff - 0.00460946
  32. ema9_ema21_diff - 0.00056936
  33. ema21_ema50_diff - -0.00454228
  34. price_ema100_diff - -0.00780881
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.00388123
  38. ema_slope_21 - 0.00338175
  39. ema_slope_50 - -0.0230225
  40. ema_slope_100 - -0.0291056
  41. rsi - 0.5596
  42. adx - 0.13294
  43. kc_percentage - 0.926571
  44. kc_width_percentage - 0.0121094
  45. volume_ema_diff - -0.313299
  46. volume_ema1 - 37289.48259708
  47. volume_ema2 - 54302.425978208
  48. chop - 71.4482
  49. regime - range_medium
    50. ¸
  50. 5m
  51. ema9 - 0.590803
  52. ema21 - 0.589897
  53. ema50 - 0.589244
  54. ema100 - 0.588048
  55. price_ema9_diff - 0.00253372
  56. ema9_ema21_diff - 0.00153506
  57. ema21_ema50_diff - 0.00110786
  58. price_ema100_diff - 0.00722904
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0272071
  62. ema_slope_21 - 0.0135636
  63. ema_slope_50 - 0.00716614
  64. ema_slope_100 - 0.00737516
  65. rsi - 0.668458
  66. adx - 0.187283
  67. kc_percentage - 1.12291
  68. kc_width_percentage - 0.00640593
  69. volume_ema_diff - 1.12173
  70. volume_ema1 - 17318.750465605
  71. volume_ema2 - 8162.545861279
  72. chop - 29.7863
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90242.3
  77. 5m_price_ema100_diff: 0.00150691
  78. 5m_price: 90378.3
  79. 5m_correlation_with_coin: 0.585357
  80. btc_indicators
  81. 15m_ema100: 91024.3
  82. 15m_price_ema100_diff: -0.00790971
  83. 15m_price: 90304.4
  84. 15m_correlation_with_coin: -0.023011
  85. btc_indicators
  86. 1H_ema100: 91138.9
  87. 1H_price_ema100_diff: -0.00834597
  88. 1H_price: 90378.3
  89. 1H_correlation_with_coin: 0.129912
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
22:42:33		 12 Dec 2025
23:25:00		 42 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5923 0.5937 0.5896 1.93 0.5548
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 0.5923
  • Stop Loss: 0.5937
  • Take Profit: 0.5896

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5937 - 0.5923 = 0.0014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5923 - 0.5896 = 0.0027

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0027 / 0.0014 = 1.9286

📌 Position Size

Amount Margin Quantity Leverage
3487.4364 100 5887.9562 34.87
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 0.0014

Taille de position = 8 / 0.0014 = 5714.29

Taille de position USD = 5714.29 x 0.5923 = 3384.57

Donc, tu peux acheter 5714.29 avec un stoploss a 0.5937

Avec un position size USD de 3384.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5714.29 x 0.0014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5714.29 x 0.0027 = 15.43

Si Take Profit atteint, tu gagneras 15.43$

Résumé

  • Taille de position 5714.29
  • Taille de position USD 3384.57
  • Perte potentielle 8
  • Gain potentiel 15.43
  • Risk-Reward Ratio 1.9286

📌 Peformances

TP % Target TP $ Target
0.46 % 15.9 $
SL % Target SL $ Target
0.24 % 8.24 $
PNL PNL %
-8.24 $ -0.24
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.439 % 185.7 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5896
            [entry_price] => 0.5923
            [stop_loss] => 0.59384
            [rr_ratio] => 1.75
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 23:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5896
            [entry_price] => 0.5923
            [stop_loss] => 0.59398
            [rr_ratio] => 1.61
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 23:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5896
            [entry_price] => 0.5923
            [stop_loss] => 0.59412
            [rr_ratio] => 1.48
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 23:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5896
            [entry_price] => 0.5923
            [stop_loss] => 0.5944
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-12 23:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00060000000000004
            [max_drawdown] => 0.0034999999999999
            [rr_ratio] => 0.17
            [high] => 0.59580000
            [low] => 0.59170000
            [mfe_pct] => 0.1
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-12-12T22:42:33-05:00
            [end_at] => 2025-12-13T00:42:33-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0027
            [max_drawdown] => 0.0115
            [rr_ratio] => 0.23
            [high] => 0.60380000
            [low] => 0.58960000
            [mfe_pct] => 0.46
            [mae_pct] => 1.94
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2025-12-12T22:42:33-05:00
            [end_at] => 2025-12-13T05:42:33-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.59290000
            [high_after] => 0.60380000
            [low_before] => 0.58770000
            [low_after] => 0.58960000
            [is_new_high] => 
            [is_new_low] => 
        )

)