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Trade

sell - ZEREBRO

Status
win
2025-06-05 20:38:55
6 minutes
PNL
1.43
Entry: 0.03012
Last: 0.02969000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.9107
Prediction 1 Accuracy
Strong Trade
0.58
Prediction 2 Accuracy
1 0.42
ML Trade Score: 50

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0001925375078
Details
  1. score: 1.03
  2. 1H: ema9 - 0.0299882
  3. 1H: ema21 - 0.030469
  4. 1H: ema50 - 0.0313433
  5. 1H: ema100 - 0.0324364
  6. 1H: price_ema9_diff - 0.00439285
  7. 1H: ema9_ema21_diff - -0.015778
  8. 1H: ema21_ema50_diff - -0.0278958
  9. 1H: price_ema100_diff - -0.0714154
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.450685
  13. 1H: kc_percentage - 0.418643
  14. 1H: kc_width_percentage - 0.127687
    15. ¸
  15. 15m: ema9 - 0.0297118
  16. 15m: ema21 - 0.0297292
  17. 15m: ema50 - 0.0300823
  18. 15m: ema100 - 0.030391
  19. 15m: price_ema9_diff - 0.013736
  20. 15m: ema9_ema21_diff - -0.000582727
  21. 15m: ema21_ema50_diff - -0.011738
  22. 15m: price_ema100_diff - -0.00891846
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.550676
  26. 15m: kc_percentage - 0.739464
  27. 15m: kc_width_percentage - 0.0555179
    28. ¸
  28. 5m: ema9 - 0.029815
  29. 5m: ema21 - 0.0297241
  30. 5m: ema50 - 0.0296783
  31. 5m: ema100 - 0.0297862
  32. 5m: price_ema9_diff - 0.010229
  33. 5m: ema9_ema21_diff - 0.00305577
  34. 5m: ema21_ema50_diff - 0.00154572
  35. 5m: price_ema100_diff - 0.0112044
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.640557
  39. 5m: kc_percentage - 1.03112
  40. 5m: kc_width_percentage - 0.0244722
    41. ¸

Short Trade on ZEREBRO

The 05 Jun 2025 at 20:38:55

With 834.3 ZEREBRO at 0.03012$ per unit.

Take profit at 0.02969 (1.4 %) and Stop Loss at 0.03041 (0.96 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -46.04 %

Symbol Start at Seach Score Trade Score Trades Count
TURBO 2025-06-05 20:37:38 0.9139 -13.33 3
LISTA 2025-06-05 20:35:00 0.9131 30 2
LISTA 2025-04-17 03:26:19 0.9077 -15 2
WLD 2025-06-05 20:36:42 0.9133 30 1
FLOKI 2025-06-05 20:36:12 0.9089 -100 1
TRUMP 2025-05-12 18:41:15 0.9052 -100 2
SUNDOG 2025-05-02 09:01:30 0.9049 -100 1
GALA 2025-06-05 20:35:10 0.9043 -100 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
20:38:55		 05 Jun 2025
20:45:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03012 0.03041 0.02969 1.5 0.02986
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 0.03012
  • Stop Loss: 0.03041
  • Take Profit: 0.02969

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03041 - 0.03012 = 0.00029

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03012 - 0.02969 = 0.00043

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00043 / 0.00029 = 1.4828

📌 Position Size

Amount Margin Quantity Leverage
834.3 100 27700 8.34
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 0.00029

Taille de position = 8 / 0.00029 = 27586.21

Taille de position USD = 27586.21 x 0.03012 = 830.9

Donc, tu peux acheter 27586.21 avec un stoploss a 0.03041

Avec un position size USD de 830.9$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 27586.21 x 0.00029 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 27586.21 x 0.00043 = 11.86

Si Take Profit atteint, tu gagneras 11.86$

Résumé

  • Taille de position 27586.21
  • Taille de position USD 830.9
  • Perte potentielle 8
  • Gain potentiel 11.86
  • Risk-Reward Ratio 1.4828

📌 Peformances

TP % Target TP $ Target
1.4 % 12 $
SL % Target SL $ Target
0.96 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.43 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02954
            [stop_loss] => 0.03041
            [rr_ratio] => 2
            [closed_at] => 2025-06-05 21:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.029395
            [stop_loss] => 0.03041
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-05 22:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02925
            [stop_loss] => 0.03041
            [rr_ratio] => 3
            [closed_at] => 2025-06-06 02:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.029105
            [stop_loss] => 0.03041
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-06 02:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.02896
            [stop_loss] => 0.03041
            [rr_ratio] => 4
            [closed_at] => 2025-06-06 02:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.028815
            [stop_loss] => 0.03041
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-06 02:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.02867
            [stop_loss] => 0.03041
            [rr_ratio] => 5
            [closed_at] => 2025-06-06 02:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)