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Trade

sell - BRETT

Status
win
2025-05-25 09:49:36
10 minutes
PNL
1.67
Entry: 0.06336
Last: 0.06230000

Results

Status:
win
Trade Type:
sell
Prediction Score: -3.0386
Prediction 1 Accuracy
Weak Trade
0.71
Prediction 2 Accuracy
0 0.55
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0004729156925
Details
  1. score: 1.11
  2. 1H: ema9 - 0.0621582
  3. 1H: ema21 - 0.0633936
  4. 1H: ema50 - 0.0661696
  5. 1H: ema100 - 0.068103
  6. 1H: price_ema9_diff - 0.0193339
  7. 1H: ema9_ema21_diff - -0.0194885
  8. 1H: ema21_ema50_diff - -0.0419515
  9. 1H: price_ema100_diff - -0.0696452
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.466426
  13. 1H: kc_percentage - 0.512617
  14. 1H: kc_width_percentage - 0.0974876
    15. ¸
  15. 15m: ema9 - 0.0620655
  16. 15m: ema21 - 0.0617508
  17. 15m: ema50 - 0.0623423
  18. 15m: ema100 - 0.0635937
  19. 15m: price_ema9_diff - 0.0208556
  20. 15m: ema9_ema21_diff - 0.00509664
  21. 15m: ema21_ema50_diff - -0.00948851
  22. 15m: price_ema100_diff - -0.00367593
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.643001
  26. 15m: kc_percentage - 0.983846
  27. 15m: kc_width_percentage - 0.0525361
    28. ¸
  28. 5m: ema9 - 0.0626869
  29. 5m: ema21 - 0.0621352
  30. 5m: ema50 - 0.0616994
  31. 5m: ema100 - 0.0618458
  32. 5m: price_ema9_diff - 0.0107368
  33. 5m: ema9_ema21_diff - 0.00887867
  34. 5m: ema21_ema50_diff - 0.00706363
  35. 5m: price_ema100_diff - 0.0244834
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.7361
  39. 5m: kc_percentage - 1.11379
  40. 5m: kc_width_percentage - 0.0305897
    41. ¸

Short Trade on BRETT

The 25 May 2025 at 09:49:36

With 714.5 BRETT at 0.06336$ per unit.

Take profit at 0.0623 (1.7 %) and Stop Loss at 0.06407 (1.1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -22.5 %

Symbol Start at Seach Score Trade Score Trades Count
REZ 2025-05-25 09:44:05 0.9361 30 3
ALGO 2025-05-13 02:59:39 0.9236 -100 2
TON 2025-05-13 03:22:34 0.9256 -100 1
XRP 2025-05-25 09:36:42 0.9251 30 1
BRETT 2025-04-16 07:21:06 0.9245 40 1
VIRTUAL 2025-05-25 16:44:29 0.9173 -10 3
OP 2025-05-02 20:18:42 0.9163 30 1
DOG 2025-05-31 01:29:05 0.9154 -100 1

📌 Time Data

Start at Closed at Duration
25 May 2025
09:49:36		 25 May 2025
10:00:00		 10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06336 0.06407 0.0623 1.5 0.05321
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 0.06336
  • Stop Loss: 0.06407
  • Take Profit: 0.0623

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06407 - 0.06336 = 0.00071

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06336 - 0.0623 = 0.00106

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00106 / 0.00071 = 1.493

📌 Position Size

Amount Margin Quantity Leverage
714.5 100 11280 7.15
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 0.00071

Taille de position = 8 / 0.00071 = 11267.61

Taille de position USD = 11267.61 x 0.06336 = 713.92

Donc, tu peux acheter 11267.61 avec un stoploss a 0.06407

Avec un position size USD de 713.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11267.61 x 0.00071 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11267.61 x 0.00106 = 11.94

Si Take Profit atteint, tu gagneras 11.94$

Résumé

  • Taille de position 11267.61
  • Taille de position USD 713.92
  • Perte potentielle 8
  • Gain potentiel 11.94
  • Risk-Reward Ratio 1.493

📌 Peformances

TP % Target TP $ Target
1.7 % 12 $
SL % Target SL $ Target
1.1 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.67 -0.36300505050504

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.06194
            [stop_loss] => 0.06407
            [rr_ratio] => 2
            [closed_at] => 2025-05-25 10:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.061585
            [stop_loss] => 0.06407
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-25 10:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.06123
            [stop_loss] => 0.06407
            [rr_ratio] => 3
            [closed_at] => 2025-05-25 11:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.060875
            [stop_loss] => 0.06407
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-25 11:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.06052
            [stop_loss] => 0.06407
            [rr_ratio] => 4
            [closed_at] => 2025-05-25 11:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.060165
            [stop_loss] => 0.06407
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-25 11:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.05981
            [stop_loss] => 0.06407
            [rr_ratio] => 5
            [closed_at] => 2025-05-25 11:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)