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Short Trade on ENA

Short Trade on ENA

The 01 Sep 2025 at 14:31:28

With 2115.7862 ENA at 0.6358$ per unit.

Position size of 1345.2168 $

Take profit at 0.6301 (0.9 %) and Stop Loss at 0.6396 (0.6 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 9.08
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.5
Market Regime Score BTC Correlation

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

 0

5m : 0.724705

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.002520733626
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 0.63268
  4. ema21 - 0.638359
  5. ema50 - 0.647024
  6. ema100 - 0.651769
  7. price_ema9_diff - 0.00493098
  8. ema9_ema21_diff - -0.0088962
  9. ema21_ema50_diff - -0.0133928
  10. price_ema100_diff - -0.0245016
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.456318
  14. adx - 0.25617
  15. kc_percentage - 0.441613
  16. kc_width_percentage - 0.0564363
  17. volume_ema_diff - -0.481736
  18. volume_ema1 - 2691359.4382319
  19. volume_ema2 - 5193030.9378905
    20. ¸
  20. 15m
  21. ema9 - 0.630799
  22. ema21 - 0.631229
  23. ema50 - 0.634553
  24. ema100 - 0.640168
  25. price_ema9_diff - 0.00792689
  26. ema9_ema21_diff - -0.000680702
  27. ema21_ema50_diff - -0.00523861
  28. price_ema100_diff - -0.00682322
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.572297
  32. adx - 0.187472
  33. kc_percentage - 0.773532
  34. kc_width_percentage - 0.0268507
  35. volume_ema_diff - -0.468012
  36. volume_ema1 - 491573.92967693
  37. volume_ema2 - 924032.46343393
    38. ¸
  38. 5m
  39. ema9 - 0.631607
  40. ema21 - 0.629809
  41. ema50 - 0.630251
  42. ema100 - 0.632723
  43. price_ema9_diff - 0.00663755
  44. ema9_ema21_diff - 0.00285436
  45. ema21_ema50_diff - -0.000700497
  46. price_ema100_diff - 0.00486154
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.663908
  50. adx - 0.20046
  51. kc_percentage - 1.09576
  52. kc_width_percentage - 0.0156702
  53. volume_ema_diff - -0.533107
  54. volume_ema1 - 117140.97593275
  55. volume_ema2 - 250894.85667232
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108894
  59. 5m_price_ema100_diff: 0.00217472
  60. 5m_price: 109131
  61. 5m_correlation_with_coin: 0.724705
  62. btc_indicators
  63. 15m_ema100: 108740
  64. 15m_price_ema100_diff: 0.00359326
  65. 15m_price: 109131
  66. btc_indicators
  67. 1H_ema100: 109368
  68. 1H_price_ema100_diff: -0.002168
  69. 1H_price: 109131
    70. ¸

📌 Time Data

Start at Closed at Duration
01 Sep 2025
14:31:28		 01 Sep 2025
14:50:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6358 0.6396 0.6301 1.5 0.7329
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 0.6358
  • Stop Loss: 0.6396
  • Take Profit: 0.6301

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6396 - 0.6358 = 0.0037999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6358 - 0.6301 = 0.0057

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0057 / 0.0037999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1345.2168 100 2115.7862 13.45
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 0.0037999999999999

Taille de position = 8 / 0.0037999999999999 = 2105.26

Taille de position USD = 2105.26 x 0.6358 = 1338.52

Donc, tu peux acheter 2105.26 avec un stoploss a 0.6396

Avec un position size USD de 1338.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2105.26 x 0.0037999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2105.26 x 0.0057 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2105.26
  • Taille de position USD 1338.52
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.9 % 12.06 $
SL % Target SL $ Target
0.6 % 8.04 $
PNL PNL %
12.06 $ 0.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.6282
            [stop_loss] => 0.6396
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 15:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.6263
            [stop_loss] => 0.6396
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6244
            [stop_loss] => 0.6396
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.6225
            [stop_loss] => 0.6396
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.6206
            [stop_loss] => 0.6396
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.6187
            [stop_loss] => 0.6396
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.6168
            [stop_loss] => 0.6396
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.6149
            [stop_loss] => 0.6396
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 17:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.613
            [stop_loss] => 0.6396
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 17:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.6111
            [stop_loss] => 0.6396
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 17:25:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.6092
            [stop_loss] => 0.6396
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 17:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0092
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.63330000
            [low] => 0.62660000
            [mfe_pct] => 1.45
            [mae_pct] => -0.39
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T14:31:28-04:00
            [end_at] => 2025-09-01T16:31:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0286
            [max_drawdown] => 0.0053
            [rr_ratio] => 5.4
            [high] => 0.64110000
            [low] => 0.60720000
            [mfe_pct] => 4.5
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 5.4
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T14:31:28-04:00
            [end_at] => 2025-09-01T21:31:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.63580000
            [high_after] => 0.63510000
            [low_before] => 0.62310000
            [low_after] => 0.60720000
            [is_new_high] => 
            [is_new_low] => 1
        )

)