Short Trade on ENA 10 Sep 2025 at 21:12:58

Take profit at 0.7787 (1.12 %) and Stop Loss at 0.7919 (0.56 %)

Short Trade on ENA

The 10 Sep 2025 at 21:12:58

With 1809.6172 ENA at 0.7875$ per unit.

Position size of 1425.0735 $

Take profit at 0.7787 (1.12 %) and Stop Loss at 0.7919 (0.56 %)

That's a 2 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
0.55
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.78
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : bear_medium

5m_regime : bull_low_confirmed

BTC Correlation Score

5m : 0.356877

15m : -0.049817

1H : -0.081538

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.002947216352
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.786042
  4. ema21 : 0.793833
  5. ema50 : 0.795367
  6. ema100 : 0.784212
  7. price_ema9_diff : 0.00185362
  8. ema9_ema21_diff : -0.00981381
  9. ema21_ema50_diff : -0.00192856
  10. price_ema100_diff : 0.00419185
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.273073
  14. ema_slope_21 : -0.185411
  15. ema_slope_50 : -0.0581263
  16. ema_slope_100 : 0.00711914
  17. rsi : 0.451252
  18. adx : 0.190032
  19. kc_percentage : 0.384451
  20. kc_width_percentage : 0.0645325
  21. volume_ema_diff : -0.412011
  22. volume_ema1 : 6136025.7684371
  23. volume_ema2 : 10435620.206508
  24. regime : range_high
  25. ¸
  26. 15m
  27. ema9 : 0.781605
  28. ema21 : 0.782371
  29. ema50 : 0.788839
  30. ema100 : 0.796905
  31. price_ema9_diff : 0.00754105
  32. ema9_ema21_diff : -0.000978274
  33. ema21_ema50_diff : -0.00819927
  34. price_ema100_diff : -0.0118019
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00696524
  38. ema_slope_21 : -0.0231643
  39. ema_slope_50 : -0.0483639
  40. ema_slope_100 : -0.0437677
  41. rsi : 0.552258
  42. adx : 0.223549
  43. kc_percentage : 0.740645
  44. kc_width_percentage : 0.0279334
  45. volume_ema_diff : 0.044786
  46. volume_ema1 : 2195689.2396922
  47. volume_ema2 : 2101568.3597725
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.78231
  52. ema21 : 0.78093
  53. ema50 : 0.781282
  54. ema100 : 0.783921
  55. price_ema9_diff : 0.00663378
  56. ema9_ema21_diff : 0.00176694
  57. ema21_ema50_diff : -0.000450685
  58. price_ema100_diff : 0.0045646
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0511096
  62. ema_slope_21 : 0.0127943
  63. ema_slope_50 : -0.00237505
  64. ema_slope_100 : -0.00924841
  65. rsi : 0.640709
  66. adx : 0.23219
  67. kc_percentage : 1.02106
  68. kc_width_percentage : 0.0159246
  69. volume_ema_diff : 0.450789
  70. volume_ema1 : 966174.36437159
  71. volume_ema2 : 665964.54277331
  72. regime : bull_low_confirmed
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113733
  77. 5m_price_ema100_diff:
    0.00146058
  78. 5m_price:
    113900
  79. 5m_correlation_with_coin:
    0.356877
  80. btc_indicators
  81. 15m_ema100:
    112960
  82. 15m_price_ema100_diff:
    0.0083137
  83. 15m_price:
    113900
  84. 15m_correlation_with_coin:
    -0.049817
  85. btc_indicators
  86. 1H_ema100:
    111968
  87. 1H_price_ema100_diff:
    0.0172463
  88. 1H_price:
    113900
  89. 1H_correlation_with_coin:
    -0.081538
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
21:12:58
10 Sep 2025
21:25:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7875 0.7919 0.7787 2 0.1047
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 0.7875
  • Stop Loss: 0.7919
  • Take Profit: 0.7787

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7919 - 0.7875 = 0.0044000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7875 - 0.7787 = 0.0088

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0088 / 0.0044000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1425.0735 100 1809.6172 14.25
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 0.0044000000000001

Taille de position = 8 / 0.0044000000000001 = 1818.18

Taille de position USD = 1818.18 x 0.7875 = 1431.82

Donc, tu peux acheter 1818.18 avec un stoploss a 0.7919

Avec un position size USD de 1431.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1818.18 x 0.0044000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1818.18 x 0.0088 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1818.18
  • Taille de position USD 1431.82
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.12 % 15.92 $
SL % Target SL $ Target
0.56 % 7.96 $
PNL PNL %
-7.96 $ -0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7365 % 131.82 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7787
            [entry_price] => 0.7875
            [stop_loss] => 0.79234
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 21:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7787
            [entry_price] => 0.7875
            [stop_loss] => 0.79278
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 21:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.7787
            [entry_price] => 0.7875
            [stop_loss] => 0.79322
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 21:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.7787
            [entry_price] => 0.7875
            [stop_loss] => 0.7941
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 23:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0028
            [max_drawdown] => 0.0058
            [rr_ratio] => 0.48
            [high] => 0.79330000
            [low] => 0.78470000
            [mfe_pct] => 0.36
            [mae_pct] => 0.74
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T21:12:58-04:00
            [end_at] => 2025-09-10T23:12:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0124
            [max_drawdown] => 0.011
            [rr_ratio] => 1.13
            [high] => 0.79850000
            [low] => 0.77510000
            [mfe_pct] => 1.57
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 1.13
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T21:12:58-04:00
            [end_at] => 2025-09-11T04:12:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.79000000
            [high_after] => 0.79850000
            [low_before] => 0.77200000
            [low_after] => 0.77510000
            [is_new_high] => 
            [is_new_low] => 
        )

)