Short Trade on EGLD 11 Oct 2025 at 05:28:03

Take profit at 9.607 (2.07 %) and Stop Loss at 9.9115 (1.03 %)

Short Trade on EGLD

The 11 Oct 2025 at 05:28:03

With 78.8178 EGLD at 9.81$ per unit.

Position size of 773.2028 $

Take profit at 9.607 (2.07 %) and Stop Loss at 9.9115 (1.03 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.42
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.58
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.66
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.714581

15m : 0.147224

1H : -0.037826

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.06766659751
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 9.57847
  4. ema21 : 10.3475
  5. ema50 : 11.553
  6. ema100 : 12.3645
  7. price_ema9_diff : 0.024171
  8. ema9_ema21_diff : -0.0743208
  9. ema21_ema50_diff : -0.104345
  10. price_ema100_diff : -0.206604
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -1.66519
  14. ema_slope_21 : -1.50366
  15. ema_slope_50 : -0.920393
  16. ema_slope_100 : -0.540319
  17. rsi : 0.370552
  18. adx : 0.57061
  19. kc_percentage : 0.295145
  20. kc_width_percentage : 0.235525
  21. volume_ema_diff : -0.514284
  22. volume_ema1 : 224075.42047788
  23. volume_ema2 : 461330.97419194
  24. chop : 3.72829
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 9.55702
  29. ema21 : 9.42766
  30. ema50 : 9.74539
  31. ema100 : 10.6159
  32. price_ema9_diff : 0.0264699
  33. ema9_ema21_diff : 0.0137215
  34. ema21_ema50_diff : -0.0326034
  35. price_ema100_diff : -0.0759184
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.281068
  39. ema_slope_21 : 0.169572
  40. ema_slope_50 : -0.134697
  41. ema_slope_100 : -0.236108
  42. rsi : 0.617845
  43. adx : 0.25258
  44. kc_percentage : 1.15563
  45. kc_width_percentage : 0.0588696
  46. volume_ema_diff : -0.586914
  47. volume_ema1 : 54281.498281146
  48. volume_ema2 : 131404.91615341
  49. chop : 54.7402
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 9.72224
  54. ema21 : 9.60867
  55. ema50 : 9.44751
  56. ema100 : 9.29446
  57. price_ema9_diff : 0.00902619
  58. ema9_ema21_diff : 0.0118199
  59. ema21_ema50_diff : 0.0170583
  60. price_ema100_diff : 0.0554665
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.250162
  64. ema_slope_21 : 0.205266
  65. ema_slope_50 : 0.140762
  66. ema_slope_100 : 0.0989613
  67. rsi : 0.712206
  68. adx : 0.44078
  69. kc_percentage : 1.21882
  70. kc_width_percentage : 0.0274256
  71. volume_ema_diff : -0.0880695
  72. volume_ema1 : 16869.075863234
  73. volume_ema2 : 18498.203451305
  74. chop : 36.402
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111619
  80. 5m_price_ema100_diff:
    -0.000150812
  81. 5m_price:
    111602
  82. 5m_correlation_with_coin:
    0.714581
  83. btc_indicators
  84. 15m_ema100:
    114864
  85. 15m_price_ema100_diff:
    -0.0279801
  86. 15m_price:
    111650
  87. 15m_correlation_with_coin:
    0.147224
  88. btc_indicators
  89. 1H_ema100:
    119481
  90. 1H_price_ema100_diff:
    -0.0659386
  91. 1H_price:
    111602
  92. 1H_correlation_with_coin:
    -0.037826
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
05:28:03
11 Oct 2025
06:25:00
56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.81 9.9115 9.607 2 4.491
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 9.81
  • Stop Loss: 9.9115
  • Take Profit: 9.607

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.9115 - 9.81 = 0.1015

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.81 - 9.607 = 0.203

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.203 / 0.1015 = 2

📌 Position Size

Amount Margin Quantity Leverage
773.2028 100 78.8178 7.73
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 0.1015

Taille de position = 8 / 0.1015 = 78.82

Taille de position USD = 78.82 x 9.81 = 773.22

Donc, tu peux acheter 78.82 avec un stoploss a 9.9115

Avec un position size USD de 773.22$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 78.82 x 0.1015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 78.82 x 0.203 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 78.82
  • Taille de position USD 773.22
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.07 % 16 $
SL % Target SL $ Target
1.03 % 8 $
PNL PNL %
-8 $ -1.03
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-6.1162 % 591.11 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.607
            [entry_price] => 9.81
            [stop_loss] => 9.92165
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 06:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.607
            [entry_price] => 9.81
            [stop_loss] => 9.9318
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 06:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.607
            [entry_price] => 9.81
            [stop_loss] => 9.94195
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 06:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.607
            [entry_price] => 9.81
            [stop_loss] => 9.96225
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 06:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.18
            [max_drawdown] => 0.6
            [rr_ratio] => 0.3
            [high] => 10.41000000
            [low] => 9.63000000
            [mfe_pct] => 1.83
            [mae_pct] => 6.12
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T05:28:03-04:00
            [end_at] => 2025-10-11T07:28:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.18
            [max_drawdown] => 0.6
            [rr_ratio] => 0.3
            [high] => 10.41000000
            [low] => 9.63000000
            [mfe_pct] => 1.83
            [mae_pct] => 6.12
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T05:28:03-04:00
            [end_at] => 2025-10-11T12:28:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.86000000
            [high_after] => 10.41000000
            [low_before] => 9.04000000
            [low_after] => 9.63000000
            [is_new_high] => 
            [is_new_low] => 
        )

)