Short Trade on ENA 04 May 2025 at 10:37:21

Take profit at 0.2886 (0.69 %) and Stop Loss at 0.292 (0.48 %)

Short Trade on ENA

The 04 May 2025 at 10:37:21

With 5897.7219 ENA at 0.2906$ per unit.

Position size of 1713.878 $

Take profit at 0.2886 (0.69 %) and Stop Loss at 0.292 (0.48 %)

That's a 1.43 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 70
ML Pullback Score: 4.52
Prediction Score: 0
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
0 n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0009043039712
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.290011
  4. ema21 : 0.292019
  5. ema50 : 0.297931
  6. price_ema9_diff : 0.0020167
  7. ema9_ema21_diff : -0.00687786
  8. ema21_ema50_diff : -0.0198419
  9. all_emas_in_trend : True
  10. all_emas_and_price_in_trend : False
  11. rsi : 0.443884
  12. kc_percentage : 0.417041
  13. kc_width_percentage : 0.0508666
  14. ¸
  15. 15m
  16. ema9 : 0.288929
  17. ema21 : 0.28932
  18. ema50 : 0.290461
  19. price_ema9_diff : 0.00577256
  20. ema9_ema21_diff : -0.00134891
  21. ema21_ema50_diff : -0.0039307
  22. all_emas_in_trend : True
  23. all_emas_and_price_in_trend : False
  24. rsi : 0.543336
  25. kc_percentage : 0.688476
  26. kc_width_percentage : 0.024142
  27. ¸
  28. 5m
  29. ema9 : 0.289261
  30. ema21 : 0.288671
  31. ema50 : 0.288996
  32. price_ema9_diff : 0.00463812
  33. ema9_ema21_diff : 0.00204389
  34. ema21_ema50_diff : -0.00112737
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. rsi : 0.63437
  38. kc_percentage : 1.04314
  39. kc_width_percentage : 0.0121781
  40. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 May 2025
10:37:21
04 May 2025
11:35:00
57 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2906 0.292 0.2886 1.43 0.1043
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 0.2906
  • Stop Loss: 0.292
  • Take Profit: 0.2886

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.292 - 0.2906 = 0.0014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2906 - 0.2886 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.0014 = 1.4286

📌 Position Size

Amount Margin Quantity Leverage
1713.878 100 5897.7219 17.14
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 0.0014

Taille de position = 8 / 0.0014 = 5714.29

Taille de position USD = 5714.29 x 0.2906 = 1660.57

Donc, tu peux acheter 5714.29 avec un stoploss a 0.292

Avec un position size USD de 1660.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5714.29 x 0.0014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5714.29 x 0.002 = 11.43

Si Take Profit atteint, tu gagneras 11.43$

Résumé

  • Taille de position 5714.29
  • Taille de position USD 1660.57
  • Perte potentielle 8
  • Gain potentiel 11.43
  • Risk-Reward Ratio 1.4286

📌 Peformances

TP % Target TP $ Target
0.69 % 11.8 $
SL % Target SL $ Target
0.48 % 8.26 $
PNL PNL %
11.8 $ 0.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.41293874741913 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2878
            [stop_loss] => 0.292
            [rr_ratio] => 2
            [closed_at] => 2025-05-04 11:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2871
            [stop_loss] => 0.292
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-04 12:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2864
            [stop_loss] => 0.292
            [rr_ratio] => 3
            [closed_at] => 2025-05-04 13:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2857
            [stop_loss] => 0.292
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-04 13:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0028
            [max_drawdown] => 0.0012
            [rr_ratio] => 2.33
            [high] => 0.29180000
            [low] => 0.28780000
            [mfe_pct] => 0.96
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 2.33
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T10:37:21-04:00
            [end_at] => 2025-05-04T12:37:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0053
            [max_drawdown] => 0.0012
            [rr_ratio] => 4.42
            [high] => 0.29180000
            [low] => 0.28530000
            [mfe_pct] => 1.82
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 4.42
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T10:37:21-04:00
            [end_at] => 2025-05-04T16:37:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29180000
            [high_after] => 0.29180000
            [low_before] => 0.28500000
            [low_after] => 0.28530000
            [is_new_high] => 
            [is_new_low] => 
        )

)