Short Trade on EGLD 11 Oct 2025 at 04:25:12

Take profit at 9.3571 (2.12 %) and Stop Loss at 9.6614 (1.06 %)

Short Trade on EGLD

The 11 Oct 2025 at 04:25:12

With 78.8739 EGLD at 9.56$ per unit.

Position size of 754.0348 $

Take profit at 9.3571 (2.12 %) and Stop Loss at 9.6614 (1.06 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.11
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.66
Prediction 2 Probability
0 0.57
Prediction 3 Probability
1 0.54
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 : 0.211354

15m : 0.058551

1H : -0.030483

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.06761844911
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 9.49659
  4. ema21 : 10.3903
  5. ema50 : 11.6228
  6. ema100 : 12.4386
  7. price_ema9_diff : 0.00667632
  8. ema9_ema21_diff : -0.0860193
  9. ema21_ema50_diff : -0.106042
  10. price_ema100_diff : -0.231427
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -2.10837
  14. ema_slope_21 : -1.66683
  15. ema_slope_50 : -0.970967
  16. ema_slope_100 : -0.562324
  17. rsi : 0.326366
  18. adx : 0.572251
  19. kc_percentage : 0.18772
  20. kc_width_percentage : 0.255148
  21. volume_ema_diff : -0.582106
  22. volume_ema1 : 194554.63648207
  23. volume_ema2 : 465560.2012723
  24. chop : 1.75232
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 9.3493
  29. ema21 : 9.30242
  30. ema50 : 9.75452
  31. ema100 : 10.6966
  32. price_ema9_diff : 0.0225361
  33. ema9_ema21_diff : 0.00503897
  34. ema21_ema50_diff : -0.0463472
  35. price_ema100_diff : -0.106266
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.171705
  39. ema_slope_21 : 0.0773978
  40. ema_slope_50 : -0.216386
  41. ema_slope_100 : -0.279386
  42. rsi : 0.554684
  43. adx : 0.269062
  44. kc_percentage : 0.93923
  45. kc_width_percentage : 0.0618559
  46. volume_ema_diff : -0.831647
  47. volume_ema1 : 23585.949949112
  48. volume_ema2 : 140098.87550728
  49. chop : 71.7201
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 9.44289
  54. ema21 : 9.37953
  55. ema50 : 9.29623
  56. ema100 : 9.21601
  57. price_ema9_diff : 0.0124014
  58. ema9_ema21_diff : 0.0067555
  59. ema21_ema50_diff : 0.00896014
  60. price_ema100_diff : 0.0373247
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.101226
  64. ema_slope_21 : 0.0692599
  65. ema_slope_50 : 0.057932
  66. ema_slope_100 : 0.0441595
  67. rsi : 0.671302
  68. adx : 0.242706
  69. kc_percentage : 1.15149
  70. kc_width_percentage : 0.0283772
  71. volume_ema_diff : -0.487922
  72. volume_ema1 : 6855.6001270722
  73. volume_ema2 : 13387.808708334
  74. chop : 40.9188
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111838
  80. 5m_price_ema100_diff:
    -0.00944454
  81. 5m_price:
    110782
  82. 5m_correlation_with_coin:
    0.211354
  83. btc_indicators
  84. 15m_ema100:
    115124
  85. 15m_price_ema100_diff:
    -0.0390757
  86. 15m_price:
    110626
  87. 15m_correlation_with_coin:
    0.058551
  88. btc_indicators
  89. 1H_ema100:
    119700
  90. 1H_price_ema100_diff:
    -0.0745052
  91. 1H_price:
    110782
  92. 1H_correlation_with_coin:
    -0.030483
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
04:25:12
11 Oct 2025
04:45:00
19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.56 9.6614 9.3571 2 4.589
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 9.56
  • Stop Loss: 9.6614
  • Take Profit: 9.3571

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.6614 - 9.56 = 0.1014

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.56 - 9.3571 = 0.2029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.2029 / 0.1014 = 2.001

📌 Position Size

Amount Margin Quantity Leverage
754.0348 100 78.8739 7.54
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 0.1014

Taille de position = 8 / 0.1014 = 78.9

Taille de position USD = 78.9 x 9.56 = 754.28

Donc, tu peux acheter 78.9 avec un stoploss a 9.6614

Avec un position size USD de 754.28$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 78.9 x 0.1014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 78.9 x 0.2029 = 16.01

Si Take Profit atteint, tu gagneras 16.01$

Résumé

  • Taille de position 78.9
  • Taille de position USD 754.28
  • Perte potentielle 8
  • Gain potentiel 16.01
  • Risk-Reward Ratio 2.001

📌 Peformances

TP % Target TP $ Target
2.12 % 16 $
SL % Target SL $ Target
1.06 % 8 $
PNL PNL %
-8 $ -1.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3598 % 128.2 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.3571
            [entry_price] => 9.56
            [stop_loss] => 9.67154
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 04:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.3571
            [entry_price] => 9.56
            [stop_loss] => 9.68168
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 04:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.3571
            [entry_price] => 9.56
            [stop_loss] => 9.69182
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 04:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.3571
            [entry_price] => 9.56
            [stop_loss] => 9.7121
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 04:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.07
            [max_drawdown] => 0.85
            [rr_ratio] => 0.08
            [high] => 10.41000000
            [low] => 9.49000000
            [mfe_pct] => 0.73
            [mae_pct] => 8.89
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T04:25:12-04:00
            [end_at] => 2025-10-11T06:25:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.07
            [max_drawdown] => 0.85
            [rr_ratio] => 0.08
            [high] => 10.41000000
            [low] => 9.49000000
            [mfe_pct] => 0.73
            [mae_pct] => 8.89
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T04:25:12-04:00
            [end_at] => 2025-10-11T11:25:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.60000000
            [high_after] => 10.41000000
            [low_before] => 9.04000000
            [low_after] => 9.49000000
            [is_new_high] => 
            [is_new_low] => 
        )

)