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Trade

sell - BRETT

Status
win
2025-05-31 03:53:36
21 minutes
PNL
1.36
Entry: 0.05018
Last: 0.04950000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2225
Prediction 1 Accuracy
Weak Trade
0.55
Prediction 2 Accuracy
0 0.5
ML Trade Score: 70

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0003042312121
Details
  1. score: 1.02
  2. 1H: ema9 - 0.049943
  3. 1H: ema21 - 0.0527896
  4. 1H: ema50 - 0.0573669
  5. 1H: ema100 - 0.0606622
  6. 1H: price_ema9_diff - 0.00474446
  7. 1H: ema9_ema21_diff - -0.0539236
  8. 1H: ema21_ema50_diff - -0.0797897
  9. 1H: price_ema100_diff - -0.172796
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.359429
  13. 1H: kc_percentage - 0.184102
  14. 1H: kc_width_percentage - 0.150727
    15. ¸
  15. 15m: ema9 - 0.0494678
  16. 15m: ema21 - 0.0492724
  17. 15m: ema50 - 0.0508415
  18. 15m: ema100 - 0.0531726
  19. 15m: price_ema9_diff - 0.0143958
  20. 15m: ema9_ema21_diff - 0.00396692
  21. 15m: ema21_ema50_diff - -0.0308641
  22. 15m: price_ema100_diff - -0.0562819
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.575871
  26. 15m: kc_percentage - 0.855872
  27. 15m: kc_width_percentage - 0.0519618
    28. ¸
  28. 5m: ema9 - 0.0497983
  29. 5m: ema21 - 0.0495363
  30. 5m: ema50 - 0.0491297
  31. 5m: ema100 - 0.0492514
  32. 5m: price_ema9_diff - 0.00766333
  33. 5m: ema9_ema21_diff - 0.0052893
  34. 5m: ema21_ema50_diff - 0.00827598
  35. 5m: price_ema100_diff - 0.0188531
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.646008
  39. 5m: kc_percentage - 1.02353
  40. 5m: kc_width_percentage - 0.0237442
    41. ¸

Short Trade on BRETT

The 31 May 2025 at 03:53:36

With 879.7 BRETT at 0.05018$ per unit.

Take profit at 0.0495 (1.4 %) and Stop Loss at 0.05064 (0.92 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -3.33 %

Symbol Start at Seach Score Trade Score Trades Count
WLD 2025-05-31 03:34:19 0.9789 -100 4
KAS 2025-05-31 04:08:28 0.9792 -100 1
AI16Z 2025-05-31 03:45:32 0.9771 40 1
ZK 2025-05-31 03:53:45 0.975 40 1
REZ 2025-05-31 03:32:21 0.9721 -6.67 3
BOME 2025-05-31 03:52:45 0.973 30 1
1000BONK 2025-05-31 03:36:12 0.9722 30 1
MELANIA 2025-05-31 03:42:59 0.9709 40 2

📌 Time Data

Start at Closed at Duration
31 May 2025
03:53:36		 31 May 2025
04:15:00		 21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05018 0.05064 0.0495 1.5 0.04762
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 0.05018
  • Stop Loss: 0.05064
  • Take Profit: 0.0495

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05064 - 0.05018 = 0.00046

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05018 - 0.0495 = 0.00068

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00068 / 0.00046 = 1.4783

📌 Position Size

Amount Margin Quantity Leverage
879.7 100 17530 8.80
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 0.00046

Taille de position = 8 / 0.00046 = 17391.3

Taille de position USD = 17391.3 x 0.05018 = 872.7

Donc, tu peux acheter 17391.3 avec un stoploss a 0.05064

Avec un position size USD de 872.7$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17391.3 x 0.00046 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17391.3 x 0.00068 = 11.83

Si Take Profit atteint, tu gagneras 11.83$

Résumé

  • Taille de position 17391.3
  • Taille de position USD 872.7
  • Perte potentielle 8
  • Gain potentiel 11.83
  • Risk-Reward Ratio 1.4783

📌 Peformances

TP % Target TP $ Target
1.4 % 12 $
SL % Target SL $ Target
0.92 % 8.1 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.36 -0.25906735751295

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.04926
            [stop_loss] => 0.05064
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 04:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.04903
            [stop_loss] => 0.05064
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 06:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0488
            [stop_loss] => 0.05064
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 06:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.04857
            [stop_loss] => 0.05064
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 07:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.04834
            [stop_loss] => 0.05064
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 08:50:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.04811
            [stop_loss] => 0.05064
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 08:50:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.04788
            [stop_loss] => 0.05064
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 08:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)