Short Trade on LDO 30 Sep 2025 at 22:03:47

Take profit at 1.0867 (0.96 %) and Stop Loss at 1.1025 (0.48 %)

Short Trade on LDO

The 30 Sep 2025 at 22:03:47

With 1518.2044 LDO at 1.0972$ per unit.

Position size of 1665.7739 $

Take profit at 1.0867 (0.96 %) and Stop Loss at 1.1025 (0.48 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.06
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.46
Prediction 3 Probability
1 0.77
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.60465

15m : 0.079548

1H : -0.085753

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.003512921705
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 1.09825
  4. ema21 : 1.11148
  5. ema50 : 1.11874
  6. ema100 : 1.11373
  7. price_ema9_diff : -0.000962202
  8. ema9_ema21_diff : -0.0119029
  9. ema21_ema50_diff : -0.00649232
  10. price_ema100_diff : -0.0148442
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.286048
  14. ema_slope_21 : -0.250426
  15. ema_slope_50 : -0.106287
  16. ema_slope_100 : -0.0373709
  17. rsi : 0.418419
  18. adx : 0.248253
  19. kc_percentage : 0.301899
  20. kc_width_percentage : 0.0618044
  21. volume_ema_diff : -0.571633
  22. volume_ema1 : 458194.87411699
  23. volume_ema2 : 1069633.9743593
  24. chop : 59.6201
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.09168
  29. ema21 : 1.09226
  30. ema50 : 1.10198
  31. ema100 : 1.1217
  32. price_ema9_diff : 0.00504744
  33. ema9_ema21_diff : -0.000523536
  34. ema21_ema50_diff : -0.00882066
  35. price_ema100_diff : -0.021844
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0245741
  39. ema_slope_21 : -0.0421447
  40. ema_slope_50 : -0.0603464
  41. ema_slope_100 : -0.0659987
  42. rsi : 0.529931
  43. adx : 0.146619
  44. kc_percentage : 0.684641
  45. kc_width_percentage : 0.0251884
  46. volume_ema_diff : -0.487077
  47. volume_ema1 : 107847.25328577
  48. volume_ema2 : 210260.27837899
  49. chop : 65.2258
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 1.09296
  54. ema21 : 1.08992
  55. ema50 : 1.09047
  56. ema100 : 1.09155
  57. price_ema9_diff : 0.00387457
  58. ema9_ema21_diff : 0.00279255
  59. ema21_ema50_diff : -0.000508509
  60. price_ema100_diff : 0.00516763
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0602314
  64. ema_slope_21 : 0.0281794
  65. ema_slope_50 : 0.00117976
  66. ema_slope_100 : -0.0024099
  67. rsi : 0.619197
  68. adx : 0.207514
  69. kc_percentage : 1.00986
  70. kc_width_percentage : 0.0128304
  71. volume_ema_diff : -0.280828
  72. volume_ema1 : 37286.023636677
  73. volume_ema2 : 51845.771484345
  74. chop : 37.2805
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113979
  80. 5m_price_ema100_diff:
    0.00423613
  81. 5m_price:
    114462
  82. 5m_correlation_with_coin:
    0.60465
  83. btc_indicators
  84. 15m_ema100:
    113865
  85. 15m_price_ema100_diff:
    0.0052433
  86. 15m_price:
    114462
  87. 15m_correlation_with_coin:
    0.079548
  88. btc_indicators
  89. 1H_ema100:
    112120
  90. 1H_price_ema100_diff:
    0.0208873
  91. 1H_price:
    114462
  92. 1H_correlation_with_coin:
    -0.085753
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
22:03:47
30 Sep 2025
22:35:00
31 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0972 1.1025 1.0867 1.98 0.317
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 1.0972
  • Stop Loss: 1.1025
  • Take Profit: 1.0867

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1025 - 1.0972 = 0.0053000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0972 - 1.0867 = 0.0105

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0105 / 0.0053000000000001 = 1.9811

📌 Position Size

Amount Margin Quantity Leverage
1665.7739 100 1518.2044 16.66
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 0.0053000000000001

Taille de position = 8 / 0.0053000000000001 = 1509.43

Taille de position USD = 1509.43 x 1.0972 = 1656.15

Donc, tu peux acheter 1509.43 avec un stoploss a 1.1025

Avec un position size USD de 1656.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1509.43 x 0.0053000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1509.43 x 0.0105 = 15.85

Si Take Profit atteint, tu gagneras 15.85$

Résumé

  • Taille de position 1509.43
  • Taille de position USD 1656.15
  • Perte potentielle 8
  • Gain potentiel 15.85
  • Risk-Reward Ratio 1.9811

📌 Peformances

TP % Target TP $ Target
0.96 % 15.94 $
SL % Target SL $ Target
0.48 % 8.05 $
PNL PNL %
-8.05 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5286 % 109.44 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0867
            [entry_price] => 1.0972
            [stop_loss] => 1.10303
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-01 00:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0867
            [entry_price] => 1.0972
            [stop_loss] => 1.10356
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-01 00:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0867
            [entry_price] => 1.0972
            [stop_loss] => 1.10409
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-01 00:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0867
            [entry_price] => 1.0972
            [stop_loss] => 1.10515
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-01 00:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0071999999999999
            [max_drawdown] => 0.0058
            [rr_ratio] => 1.24
            [high] => 1.10300000
            [low] => 1.09000000
            [mfe_pct] => 0.66
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 1.24
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T22:03:47-04:00
            [end_at] => 2025-10-01T00:03:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0083
            [max_drawdown] => 0.0738
            [rr_ratio] => 0.11
            [high] => 1.17100000
            [low] => 1.08890000
            [mfe_pct] => 0.76
            [mae_pct] => 6.73
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T22:03:47-04:00
            [end_at] => 2025-10-01T05:03:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.10780000
            [high_after] => 1.11150000
            [low_before] => 1.07910000
            [low_after] => 1.08890000
            [is_new_high] => 
            [is_new_low] => 
        )

)