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Short Trade on LDO

Short Trade on LDO

The 12 Dec 2025 at 22:56:32

With 6614.9255 LDO at 0.5923$ per unit.

Position size of 3918.0204 $

Take profit at 0.5899 (0.41 %) and Stop Loss at 0.5935 (0.2 %)

That's a 2 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
0.89
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.77
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 : 0.58707

15m : 0.150008

1H : 0.099144

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0008062575089
Details
  1. score: 1.05
  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 - 0.225159
  19. kc_percentage - 0.427365
  20. kc_width_percentage - 0.0435611
  21. volume_ema_diff - -0.687325
  22. volume_ema1 - 108579.90432185
  23. volume_ema2 - 347261.78890083
  24. chop - 35.296
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.590293
  28. ema21 - 0.589613
  29. ema50 - 0.591965
  30. ema100 - 0.596701
  31. price_ema9_diff - 0.00339851
  32. ema9_ema21_diff - 0.00115382
  33. ema21_ema50_diff - -0.00397291
  34. price_ema100_diff - -0.00737566
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0145318
  38. ema_slope_21 - 0.00845589
  39. ema_slope_50 - -0.0195657
  40. ema_slope_100 - -0.0266564
  41. rsi - 0.57863
  42. adx - 0.148886
  43. kc_percentage - 0.88398
  44. kc_width_percentage - 0.0117628
  45. volume_ema_diff - -0.433773
  46. volume_ema1 - 29559.311242498
  47. volume_ema2 - 52204.06829791
  48. chop - 66.8586
  49. regime - range_medium
    50. ¸
  50. 5m
  51. ema9 - 0.591528
  52. ema21 - 0.590493
  53. ema50 - 0.589592
  54. ema100 - 0.58832
  55. price_ema9_diff - 0.00130432
  56. ema9_ema21_diff - 0.00175245
  57. ema21_ema50_diff - 0.00152765
  58. price_ema100_diff - 0.00676351
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0393953
  62. ema_slope_21 - 0.0232558
  63. ema_slope_50 - 0.0122917
  64. ema_slope_100 - 0.00993015
  65. rsi - 0.659585
  66. adx - 0.247533
  67. kc_percentage - 1.04844
  68. kc_width_percentage - 0.00539321
  69. volume_ema_diff - -0.16301
  70. volume_ema1 - 6332.7267184509
  71. volume_ema2 - 7566.07484057
  72. chop - 28.5263
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90237.4
  77. 5m_price_ema100_diff: 0.000704821
  78. 5m_price: 90301.1
  79. 5m_correlation_with_coin: 0.58707
  80. btc_indicators
  81. 15m_ema100: 90992.7
  82. 15m_price_ema100_diff: -0.00740137
  83. 15m_price: 90319.3
  84. 15m_correlation_with_coin: 0.150008
  85. btc_indicators
  86. 1H_ema100: 91137.4
  87. 1H_price_ema100_diff: -0.0091764
  88. 1H_price: 90301.1
  89. 1H_correlation_with_coin: 0.099144
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
22:56:32		 12 Dec 2025
23:15:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5923 0.5935 0.5899 2 0.5542
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: 0.5935
  • Take Profit: 0.5899

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5935 - 0.5923 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5923 - 0.5899 = 0.0024000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0024000000000001 / 0.0012 = 2

📌 Position Size

Amount Margin Quantity Leverage
3918.0204 100 6614.9255 39.18
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.5923 = 3948.67

Donc, tu peux acheter 6666.67 avec un stoploss a 0.5935

Avec un position size USD de 3948.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0024000000000001 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 3948.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.41 % 15.88 $
SL % Target SL $ Target
0.2 % 7.94 $
PNL PNL %
-7.94 $ -0.20
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2195 % 108.34 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5899
            [entry_price] => 0.5923
            [stop_loss] => 0.59362
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 23:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5899
            [entry_price] => 0.5923
            [stop_loss] => 0.59374
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 23:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5899
            [entry_price] => 0.5923
            [stop_loss] => 0.59386
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 23:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5899
            [entry_price] => 0.5923
            [stop_loss] => 0.5941
            [rr_ratio] => 1.33
            [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] => 2025-12-12T22:56:32-05:00
            [end_at] => 2025-12-13T00:56:32-05:00
        )

    [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] => 2025-12-12T22:56:32-05:00
            [end_at] => 2025-12-13T05:56:32-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.59320000
            [high_after] => 0.60380000
            [low_before] => 0.58770000
            [low_after] => 0.58960000
            [is_new_high] => 
            [is_new_low] => 
        )

)