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Trade

sell - ENS

Status
win
2025-05-30 08:49:05
30 minutes
PNL
1.21
Entry: 22.366
Last: 22.10000000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2636
Prediction 1 Accuracy
Weak Trade
0.68
Prediction 2 Accuracy
0 0.6
ML Trade Score: 130
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.117034328
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 22.3298
  4. ema21 - 22.6796
  5. ema50 - 23.0047
  6. ema100 - 22.9402
  7. price_ema9_diff - 0.00161851
  8. ema9_ema21_diff - -0.0154225
  9. ema21_ema50_diff - -0.0141319
  10. price_ema100_diff - -0.0250312
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.418409
  14. kc_percentage - 0.333492
  15. kc_width_percentage - 0.0773682
    16. ¸
  16. 15m
  17. ema9 - 22.1692
  18. ema21 - 22.2022
  19. ema50 - 22.4199
  20. ema100 - 22.8357
  21. price_ema9_diff - 0.00887428
  22. ema9_ema21_diff - -0.00148404
  23. ema21_ema50_diff - -0.00971174
  24. price_ema100_diff - -0.0205712
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.544964
  28. kc_percentage - 0.69795
  29. kc_width_percentage - 0.0381214
    30. ¸
  30. 5m
  31. ema9 - 22.1499
  32. ema21 - 22.1162
  33. ema50 - 22.1473
  34. ema100 - 22.2094
  35. price_ema9_diff - 0.00975312
  36. ema9_ema21_diff - 0.00152243
  37. ema21_ema50_diff - -0.0014007
  38. price_ema100_diff - 0.00704878
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.616506
  42. kc_percentage - 1.01758
  43. kc_width_percentage - 0.0215577
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105616
  47. 5m_price_ema100_diff: 0.00236303
  48. 5m_price: 105866
  49. 5m_correlation_with_coin: 0.71115
  50. btc_indicators
  51. 15m_ema100: 106244
  52. 15m_price_ema100_diff: -0.00355735
  53. 15m_price: 105866
  54. btc_indicators
  55. 1H_ema100: 107707
  56. 1H_price_ema100_diff: -0.0170955
  57. 1H_price: 105866
    58. ¸

Short Trade on ENS

The 30 May 2025 at 08:49:05

With 45.5707 ENS at 22.366$ per unit.

Position size of 1019.2337 $

Take profit at 22.1027 (1.18 %) and Stop Loss at 22.5416 (0.79 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -8 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-05-30 08:49:21 0.9761 30 1
INIT 2025-04-28 00:31:15 0.949 30 2
ONDO 2025-06-17 08:14:23 0.9492 40 1
RAY 2025-05-06 10:23:46 0.9458 30 2
HBAR 2025-04-09 00:40:50 0.9472 -100 1
TRX 2025-07-19 23:47:40 0.942 30 2
WLD 2025-05-30 09:01:39 0.9438 30 1
CHILLGUY 2025-05-24 06:50:12 0.9425 30 2
OP 2025-05-02 19:54:38 0.9429 -100 1
HIPPO 2025-05-15 04:47:06 0.9393 -100 1

📌 Time Data

Start at Closed at Duration
30 May 2025
08:49:05		 30 May 2025
09:20:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
22.366 22.5416 22.1027 1.5 27.135
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 22.366
  • Stop Loss: 22.5416
  • Take Profit: 22.1027

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 22.5416 - 22.366 = 0.1756

  • Récompense (distance jusqu'au take profit):

    E - TP = 22.366 - 22.1027 = 0.2633

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.2633 / 0.1756 = 1.4994

📌 Position Size

Amount Margin Quantity Leverage
1019.2337 100 45.5707 10.19
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 0.1756

Taille de position = 8 / 0.1756 = 45.56

Taille de position USD = 45.56 x 22.366 = 1018.99

Donc, tu peux acheter 45.56 avec un stoploss a 22.5416

Avec un position size USD de 1018.99$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 45.56 x 0.1756 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 45.56 x 0.2633 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 45.56
  • Taille de position USD 1018.99
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.4994

📌 Peformances

TP % Target TP $ Target
1.18 % 12 $
SL % Target SL $ Target
0.79 % 8 $
PNL PNL %
12.3 $ 1.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 22.03
            [stop_loss] => 22.54
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 09:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 21.945
            [stop_loss] => 22.54
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 09:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 21.86
            [stop_loss] => 22.54
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 09:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 21.775
            [stop_loss] => 22.54
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 09:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 21.69
            [stop_loss] => 22.54
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 12:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 21.605
            [stop_loss] => 22.54
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 12:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 21.52
            [stop_loss] => 22.54
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 21.435
            [stop_loss] => 22.54
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 21.35
            [stop_loss] => 22.54
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 21.265
            [stop_loss] => 22.54
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.645
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 22.34900000
            [low] => 21.72100000
            [mfe_pct] => 2.88
            [mae_pct] => -0.08
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T08:49:05-04:00
            [end_at] => 2025-05-30T10:49:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.149
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 22.34900000
            [low] => 21.21700000
            [mfe_pct] => 5.14
            [mae_pct] => -0.08
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T08:49:05-04:00
            [end_at] => 2025-05-30T14:49:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 22.36700000
            [high_after] => 22.34900000
            [low_before] => 21.78600000
            [low_after] => 21.21700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)