Trade

sell - ENS

Status
win
2025-08-11 22:40:30
24 minutes
PNL
0.73
Entry: 28.499
Last: 28.29000000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.7444
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.72
ML Trade Score: 100
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.09291033475
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 28.2886
  4. ema21 - 28.5527
  5. ema50 - 28.8625
  6. ema100 - 28.8104
  7. price_ema9_diff - 0.00743418
  8. ema9_ema21_diff - -0.00924914
  9. ema21_ema50_diff - -0.0107333
  10. price_ema100_diff - -0.0108111
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.468976
  14. adx - 0.187866
  15. kc_percentage - 0.480834
  16. kc_width_percentage - 0.0606029
  17. volume_ema_diff - -0.369768
  18. volume_ema1 - 1015901.7433025
  19. volume_ema2 - 1611951.3854394
  20. ¸
  21. 15m
  22. ema9 - 28.2736
  23. ema21 - 28.2083
  24. ema50 - 28.3646
  25. ema100 - 28.7067
  26. price_ema9_diff - 0.00796854
  27. ema9_ema21_diff - 0.00231835
  28. ema21_ema50_diff - -0.00551186
  29. price_ema100_diff - -0.00723579
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.620035
  33. adx - 0.232449
  34. kc_percentage - 0.881054
  35. kc_width_percentage - 0.0268504
  36. volume_ema_diff - -0.605258
  37. volume_ema1 - 128284.30628257
  38. volume_ema2 - 324982.77635988
  39. ¸
  40. 5m
  41. ema9 - 28.3924
  42. ema21 - 28.2835
  43. ema50 - 28.1924
  44. ema100 - 28.2413
  45. price_ema9_diff - 0.00375206
  46. ema9_ema21_diff - 0.00385273
  47. ema21_ema50_diff - 0.00322785
  48. price_ema100_diff - 0.00912327
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.657196
  52. adx - 0.276882
  53. kc_percentage - 1.0848
  54. kc_width_percentage - 0.0125217
  55. volume_ema_diff - -0.472675
  56. volume_ema1 - 48685.833060372
  57. volume_ema2 - 92326.1215797
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 118984
  62. 5m_price_ema100_diff: 0.00224675
  63. 5m_price: 119252
  64. 5m_correlation_with_coin: 0.755281
  65. btc_indicators
  66. 15m_ema100: 119721
  67. 15m_price_ema100_diff: -0.00483675
  68. 15m_price: 119142
  69. btc_indicators
  70. 1H_ema100: 118560
  71. 1H_price_ema100_diff: 0.00583663
  72. 1H_price: 119252
  73. ¸

Short Trade on ENS

The 11 Aug 2025 at 22:40:30

With 57.403 ENS at 28.499$ per unit.

Position size of 1635.9285 $

Take profit at 28.29 (0.73 %) and Stop Loss at 28.6384 (0.49 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 47.5 %

Symbol Start at Seach Score Trade Score Trades Count
METIS 2025-08-11 22:47:16 0.9511 40 2
CELO 2025-08-11 22:41:23 0.9571 30 1
APE 2025-08-11 22:40:11 0.9523 30 1
BOME 2025-08-11 22:43:33 0.9462 60 1
PEOPLE 2025-08-11 22:39:35 0.9392 60 1
ETC 2025-08-11 22:37:51 0.9379 30 1
DOGE 2025-08-11 22:38:08 0.935 50 1
SAND 2025-08-11 22:39:19 0.932 30 1
EIGEN 2025-08-11 22:44:54 0.9305 40 1
MANA 2025-08-11 22:39:06 0.9302 30 1
MOVE 2025-08-11 22:53:35 0.9292 60 1
REZ 2025-08-11 22:44:06 0.9291 110 1

📌 Time Data

Start at Closed at Duration
11 Aug 2025
22:40:30
11 Aug 2025
23:05:00
24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
28.499 28.6384 28.29 1.5 26.871
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 28.499
  • Stop Loss: 28.6384
  • Take Profit: 28.29

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 28.6384 - 28.499 = 0.1394

  • Récompense (distance jusqu'au take profit):

    E - TP = 28.499 - 28.29 = 0.209

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.209 / 0.1394 = 1.4993

📌 Position Size

Amount Margin Quantity Leverage
1635.9285 100 57.403 16.36
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 0.1394

Taille de position = 8 / 0.1394 = 57.39

Taille de position USD = 57.39 x 28.499 = 1635.56

Donc, tu peux acheter 57.39 avec un stoploss a 28.6384

Avec un position size USD de 1635.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 57.39 x 0.1394 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 57.39 x 0.209 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 57.39
  • Taille de position USD 1635.56
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4993

📌 Peformances

TP % Target TP $ Target
0.73 % 12 $
SL % Target SL $ Target
0.49 % 8 $
PNL PNL %
12 $ 0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0632 % 12.92 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 28.2202
            [stop_loss] => 28.6384
            [rr_ratio] => 2
            [closed_at] => 2025-08-11 23:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 28.1505
            [stop_loss] => 28.6384
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-12 01:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 28.0808
            [stop_loss] => 28.6384
            [rr_ratio] => 3
            [closed_at] => 2025-08-12 01:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 28.0111
            [stop_loss] => 28.6384
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-12 01:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 27.9414
            [stop_loss] => 28.6384
            [rr_ratio] => 4
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 27.8717
            [stop_loss] => 28.6384
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 27.802
            [stop_loss] => 28.6384
            [rr_ratio] => 5
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.347
            [max_drawdown] => 0.018000000000001
            [rr_ratio] => 19.28
            [high] => 28.51700000
            [low] => 28.15200000
            [mfe_pct] => 1.22
            [mae_pct] => 0.06
            [mfe_mae_ratio] => 19.28
            [candles_analyzed] => 24
            [start_at] => 2025-08-11T22:40:30-04:00
            [end_at] => 2025-08-12T00:40:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.714
            [max_drawdown] => 0.018000000000001
            [rr_ratio] => 39.67
            [high] => 28.51700000
            [low] => 27.78500000
            [mfe_pct] => 2.51
            [mae_pct] => 0.06
            [mfe_mae_ratio] => 39.67
            [candles_analyzed] => 84
            [start_at] => 2025-08-11T22:40:30-04:00
            [end_at] => 2025-08-12T05:40:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 28.56600000
            [high_after] => 28.51700000
            [low_before] => 27.75200000
            [low_after] => 27.78500000
            [is_new_high] => 
            [is_new_low] => 
        )

)