Trade

sell - FXS

Status
win
2025-08-05 20:39:34
5 minutes
PNL
0.80
Entry: 2.599
Last: 2.57810000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.4545
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.66
Prediction 3 Probability
1 0.53
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.009269557237
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 2.61214
  4. ema21 - 2.68431
  5. ema50 - 2.7759
  6. ema100 - 2.83298
  7. price_ema9_diff - -0.00503107
  8. ema9_ema21_diff - -0.0268867
  9. ema21_ema50_diff - -0.0329938
  10. price_ema100_diff - -0.0825936
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.302303
  14. adx - 0.532723
  15. kc_percentage - 0.0799799
  16. kc_width_percentage - 0.0734026
  17. volume_ema_diff - -0.394736
  18. volume_ema1 - 103493.75758817
  19. volume_ema2 - 170989.45143441
  20. ¸
  21. 15m
  22. ema9 - 2.58139
  23. ema21 - 2.59484
  24. ema50 - 2.64239
  25. ema100 - 2.71143
  26. price_ema9_diff - 0.00682025
  27. ema9_ema21_diff - -0.0051843
  28. ema21_ema50_diff - -0.0179943
  29. price_ema100_diff - -0.0414654
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.471731
  33. adx - 0.321228
  34. kc_percentage - 0.57037
  35. kc_width_percentage - 0.0307741
  36. volume_ema_diff - -0.529515
  37. volume_ema1 - 19017.628532156
  38. volume_ema2 - 40421.360661943
  39. ¸
  40. 5m
  41. ema9 - 2.5852
  42. ema21 - 2.58049
  43. ema50 - 2.58953
  44. ema100 - 2.60928
  45. price_ema9_diff - 0.00533608
  46. ema9_ema21_diff - 0.00182655
  47. ema21_ema50_diff - -0.00349268
  48. price_ema100_diff - -0.00394056
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.620581
  52. adx - 0.166397
  53. kc_percentage - 1.01045
  54. kc_width_percentage - 0.0139416
  55. volume_ema_diff - -0.352781
  56. volume_ema1 - 5653.1016630274
  57. volume_ema2 - 8734.4624360033
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 113663
  62. 5m_price_ema100_diff: 0.00266151
  63. 5m_price: 113965
  64. 5m_correlation_with_coin: 0.406208
  65. btc_indicators
  66. 15m_ema100: 114026
  67. 15m_price_ema100_diff: -0.00178502
  68. 15m_price: 113823
  69. btc_indicators
  70. 1H_ema100: 114041
  71. 1H_price_ema100_diff: -0.000665093
  72. 1H_price: 113965
  73. ¸

Short Trade on FXS

The 05 Aug 2025 at 20:39:34

With 575.3601 FXS at 2.599$ per unit.

Position size of 1495.3609 $

Take profit at 2.5781 (0.8 %) and Stop Loss at 2.6129 (0.53 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -54 %

Symbol Start at Seach Score Trade Score Trades Count
ARC 2025-06-21 20:19:22 0.9706 -100 3
PNUT 2025-06-21 20:06:20 0.9733 -100 1
BB 2025-06-21 20:27:58 0.9716 -100 1
MKR 2025-06-17 15:18:37 0.9694 -30 2
AI16Z 2025-06-21 20:13:13 0.9684 -100 2
HYPE 2025-06-17 15:18:21 0.9686 -100 1
ORDI 2025-06-21 20:38:10 0.9684 30 1
ATOM 2025-06-21 20:25:43 0.9674 -100 1
SUI 2025-06-21 20:37:26 0.9667 30 1
WIF 2025-07-23 19:12:46 0.9658 30 1

📌 Time Data

Start at Closed at Duration
05 Aug 2025
20:39:34
05 Aug 2025
20:45:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.599 2.6129 2.5781 1.5 2.874
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 2.599
  • Stop Loss: 2.6129
  • Take Profit: 2.5781

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6129 - 2.599 = 0.0139

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.599 - 2.5781 = 0.0209

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0209 / 0.0139 = 1.5036

📌 Position Size

Amount Margin Quantity Leverage
1495.3609 100 575.3601 14.95
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 0.0139

Taille de position = 8 / 0.0139 = 575.54

Taille de position USD = 575.54 x 2.599 = 1495.83

Donc, tu peux acheter 575.54 avec un stoploss a 2.6129

Avec un position size USD de 1495.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 575.54 x 0.0139 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 575.54 x 0.0209 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position 575.54
  • Taille de position USD 1495.83
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.5036

📌 Peformances

TP % Target TP $ Target
0.8 % 12.03 $
SL % Target SL $ Target
0.53 % 8 $
PNL PNL %
12.03 $ 0.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0385 % 7.2 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.5712
            [stop_loss] => 2.6129
            [rr_ratio] => 2
            [closed_at] => 2025-08-05 21:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.56425
            [stop_loss] => 2.6129
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-05 21:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.5573
            [stop_loss] => 2.6129
            [rr_ratio] => 3
            [closed_at] => 2025-08-05 22:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.55035
            [stop_loss] => 2.6129
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-05 23:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.5434
            [stop_loss] => 2.6129
            [rr_ratio] => 4
            [closed_at] => 2025-08-05 23:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.53645
            [stop_loss] => 2.6129
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-05 23:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.5295
            [stop_loss] => 2.6129
            [rr_ratio] => 5
            [closed_at] => 2025-08-06 00:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.52255
            [stop_loss] => 2.6129
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-06 00:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.035
            [max_drawdown] => 0.00099999999999989
            [rr_ratio] => 35
            [high] => 2.60000000
            [low] => 2.56400000
            [mfe_pct] => 1.35
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 35
            [candles_analyzed] => 24
            [start_at] => 2025-08-05T20:39:34-04:00
            [end_at] => 2025-08-05T22:39:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.077
            [max_drawdown] => 0.00099999999999989
            [rr_ratio] => 77
            [high] => 2.60000000
            [low] => 2.52200000
            [mfe_pct] => 2.96
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 77
            [candles_analyzed] => 84
            [start_at] => 2025-08-05T20:39:34-04:00
            [end_at] => 2025-08-06T03:39:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.65400000
            [high_after] => 2.60000000
            [low_before] => 2.55200000
            [low_after] => 2.52200000
            [is_new_high] => 
            [is_new_low] => 1
        )

)