Short Trade on EGLD 11 Oct 2025 at 00:32:37

Take profit at 9.0158 (2.32 %) and Stop Loss at 9.3371 (1.16 %)

Short Trade on EGLD

The 11 Oct 2025 at 00:32:37

With 74.6984 EGLD at 9.23$ per unit.

Position size of 689.4661 $

Take profit at 9.0158 (2.32 %) and Stop Loss at 9.3371 (1.16 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.82
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.87
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high

BTC Correlation Score

5m : 0.583436

15m : 0.033453

1H : 0.089566

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.07139823825
Details
  1. score: 1
  2. 1H
  3. ema9 : 9.65552
  4. ema21 : 10.8617
  5. ema50 : 12.0143
  6. ema100 : 12.6985
  7. price_ema9_diff : -0.0440702
  8. ema9_ema21_diff : -0.11105
  9. ema21_ema50_diff : -0.0959405
  10. price_ema100_diff : -0.273146
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -2.24009
  14. ema_slope_21 : -1.50063
  15. ema_slope_50 : -0.793228
  16. ema_slope_100 : -0.446215
  17. rsi : 0.249377
  18. adx : 0.523296
  19. kc_percentage : 0.0036393
  20. kc_width_percentage : 0.340011
  21. volume_ema_diff : 0.0241773
  22. volume_ema1 : 533867.44952555
  23. volume_ema2 : 521264.64508905
  24. chop : -8.2717
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 9.11145
  29. ema21 : 9.21441
  30. ema50 : 10.118
  31. ema100 : 11.2012
  32. price_ema9_diff : 0.0130105
  33. ema9_ema21_diff : -0.0111742
  34. ema21_ema50_diff : -0.0893053
  35. price_ema100_diff : -0.175986
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.174702
  39. ema_slope_21 : -0.221403
  40. ema_slope_50 : -0.493945
  41. ema_slope_100 : -0.407465
  42. rsi : 0.466178
  43. adx : 0.496609
  44. kc_percentage : 0.543487
  45. kc_width_percentage : 0.0944099
  46. volume_ema_diff : -0.797412
  47. volume_ema1 : 45748.901018168
  48. volume_ema2 : 225823.42313765
  49. chop : 86.2365
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 9.15498
  54. ema21 : 9.09904
  55. ema50 : 9.11346
  56. ema100 : 9.53879
  57. price_ema9_diff : 0.00819341
  58. ema9_ema21_diff : 0.00614852
  59. ema21_ema50_diff : -0.00158255
  60. price_ema100_diff : -0.0323722
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.125478
  64. ema_slope_21 : 0.0701757
  65. ema_slope_50 : 0.0034085
  66. ema_slope_100 : -0.0994807
  67. rsi : 0.656887
  68. adx : 0.157706
  69. kc_percentage : 1.00495
  70. kc_width_percentage : 0.0274135
  71. volume_ema_diff : -0.553581
  72. volume_ema1 : 19104.522182264
  73. volume_ema2 : 42795.086868226
  74. chop : 45.9815
  75. regime : bull_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113003
  80. 5m_price_ema100_diff:
    -0.00749225
  81. 5m_price:
    112156
  82. 5m_correlation_with_coin:
    0.583436
  83. btc_indicators
  84. 15m_ema100:
    116362
  85. 15m_price_ema100_diff:
    -0.0361389
  86. 15m_price:
    112156
  87. 15m_correlation_with_coin:
    0.033453
  88. btc_indicators
  89. 1H_ema100:
    120423
  90. 1H_price_ema100_diff:
    -0.0686444
  91. 1H_price:
    112156
  92. 1H_correlation_with_coin:
    0.089566
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
00:32:37
11 Oct 2025
00:55:00
22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.23 9.3371 9.0158 2 4.44
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 9.23
  • Stop Loss: 9.3371
  • Take Profit: 9.0158

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.3371 - 9.23 = 0.1071

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.23 - 9.0158 = 0.2142

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.2142 / 0.1071 = 2

📌 Position Size

Amount Margin Quantity Leverage
689.4661 100 74.6984 6.89
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 0.1071

Taille de position = 8 / 0.1071 = 74.7

Taille de position USD = 74.7 x 9.23 = 689.48

Donc, tu peux acheter 74.7 avec un stoploss a 9.3371

Avec un position size USD de 689.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 74.7 x 0.1071 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 74.7 x 0.2142 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 74.7
  • Taille de position USD 689.48
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.32 % 16 $
SL % Target SL $ Target
1.16 % 8 $
PNL PNL %
-8 $ -1.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1918 % 102.71 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.0158
            [entry_price] => 9.23
            [stop_loss] => 9.34781
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 01:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.0158
            [entry_price] => 9.23
            [stop_loss] => 9.35852
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 02:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.0158
            [entry_price] => 9.23
            [stop_loss] => 9.36923
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 02:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.0158
            [entry_price] => 9.23
            [stop_loss] => 9.39065
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 02:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.19
            [max_drawdown] => 0.21
            [rr_ratio] => 0.9
            [high] => 9.44000000
            [low] => 9.04000000
            [mfe_pct] => 2.06
            [mae_pct] => 2.28
            [mfe_mae_ratio] => 0.9
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T00:32:37-04:00
            [end_at] => 2025-10-11T02:32:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.19
            [max_drawdown] => 1.18
            [rr_ratio] => 0.16
            [high] => 10.41000000
            [low] => 9.04000000
            [mfe_pct] => 2.06
            [mae_pct] => 12.78
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T00:32:37-04:00
            [end_at] => 2025-10-11T07:32:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.27000000
            [high_after] => 10.41000000
            [low_before] => 8.68000000
            [low_after] => 9.04000000
            [is_new_high] => 
            [is_new_low] => 
        )

)