Trade

sell - BRETT

Status
win
2025-06-02 14:25:30
24 minutes
PNL
1.55
Entry: 0.05213
Last: 0.05132000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.8833
Prediction 1 Accuracy
Weak Trade
0.52
Prediction 2 Accuracy
1 0.41
ML Trade Score: 80

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0003620156902
Details
  1. score: 1
  2. 1H: ema9 - 0.052359
  3. 1H: ema21 - 0.0528794
  4. 1H: ema50 - 0.0533377
  5. 1H: ema100 - 0.0551781
  6. 1H: price_ema9_diff - -0.00437513
  7. 1H: ema9_ema21_diff - -0.00984099
  8. 1H: ema21_ema50_diff - -0.00859197
  9. 1H: price_ema100_diff - -0.0552414
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - True
  12. 1H: rsi - 0.455887
  13. 1H: kc_percentage - 0.38298
  14. 1H: kc_width_percentage - 0.120065
  15. ¸
  16. 15m: ema9 - 0.0514906
  17. 15m: ema21 - 0.0519355
  18. 15m: ema50 - 0.0526788
  19. 15m: ema100 - 0.0530501
  20. 15m: price_ema9_diff - 0.0124176
  21. 15m: ema9_ema21_diff - -0.00856755
  22. 15m: ema21_ema50_diff - -0.0141094
  23. 15m: price_ema100_diff - -0.0173452
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.498043
  27. 15m: kc_percentage - 0.574497
  28. 15m: kc_width_percentage - 0.0601805
  29. ¸
  30. 5m: ema9 - 0.0516126
  31. 5m: ema21 - 0.0514494
  32. 5m: ema50 - 0.0517866
  33. 5m: ema100 - 0.0523788
  34. 5m: price_ema9_diff - 0.0100233
  35. 5m: ema9_ema21_diff - 0.00317226
  36. 5m: ema21_ema50_diff - -0.00651203
  37. 5m: price_ema100_diff - -0.00475175
  38. 5m: all_emas_in_trend - False
  39. 5m: all_emas_and_price_in_trend - False
  40. 5m: rsi - 0.621707
  41. 5m: kc_percentage - 1.00111
  42. 5m: kc_width_percentage - 0.0260562
  43. ¸

Short Trade on BRETT

The 02 Jun 2025 at 14:25:30

With 768 BRETT at 0.05213$ per unit.

Take profit at 0.05132 (1.6 %) and Stop Loss at 0.05267 (1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 2.08 %

Symbol Start at Seach Score Trade Score Trades Count
TRUMP 2025-05-28 13:10:11 0.8727 40 1
LAYER 2025-05-07 15:08:44 0.8612 46.67 3
ATH 2025-05-30 22:15:58 0.8583 -100 3
ALCH 2025-05-20 15:12:17 0.8515 -100 2
BMT 2025-05-08 18:03:07 0.8544 30 1
GAS 2025-04-13 19:51:36 0.8521 40 1
ETHFI 2025-06-05 18:51:25 0.8503 30 1
GRASS 2025-06-05 19:02:24 0.8471 30 2

📌 Time Data

Start at Closed at Duration
02 Jun 2025
14:25:30
02 Jun 2025
14:50:00
24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05213 0.05267 0.05132 1.5 0.04672
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 0.05213
  • Stop Loss: 0.05267
  • Take Profit: 0.05132

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05267 - 0.05213 = 0.00054

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05213 - 0.05132 = 0.00081000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00081000000000001 / 0.00054 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
768 100 14730 7.68
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 0.00054

Taille de position = 8 / 0.00054 = 14814.81

Taille de position USD = 14814.81 x 0.05213 = 772.3

Donc, tu peux acheter 14814.81 avec un stoploss a 0.05267

Avec un position size USD de 772.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 14814.81 x 0.00054 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 14814.81 x 0.00081000000000001 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 14814.81
  • Taille de position USD 772.3
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.6 % 12 $
SL % Target SL $ Target
1 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.55 -0.36447343180509

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.05105
            [stop_loss] => 0.05267
            [rr_ratio] => 2
            [closed_at] => 2025-06-02 14:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.05078
            [stop_loss] => 0.05267
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-02 15:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.05051
            [stop_loss] => 0.05267
            [rr_ratio] => 3
            [closed_at] => 2025-06-02 15:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.05024
            [stop_loss] => 0.05267
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-02 15:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.04997
            [stop_loss] => 0.05267
            [rr_ratio] => 4
            [closed_at] => 2025-06-02 15:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0497
            [stop_loss] => 0.05267
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-02 17:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.04943
            [stop_loss] => 0.05267
            [rr_ratio] => 5
            [closed_at] => 2025-06-02 17:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)