Trade

sell - ZEREBRO

Status
win
2025-06-05 20:33:29
41 minutes
PNL
1.46
Entry: 0.03007
Last: 0.02963000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.9437
Prediction 1 Accuracy
Strong Trade
0.66
Prediction 2 Accuracy
2 0.35
ML Trade Score: 50

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0001939188024
Details
  1. score: 1.02
  2. 1H: ema9 - 0.0299502
  3. 1H: ema21 - 0.0304455
  4. 1H: ema50 - 0.0313246
  5. 1H: ema100 - 0.0324036
  6. 1H: price_ema9_diff - 0.00399703
  7. 1H: ema9_ema21_diff - -0.0162662
  8. 1H: ema21_ema50_diff - -0.0280662
  9. 1H: price_ema100_diff - -0.0720169
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.450126
  13. 1H: kc_percentage - 0.411087
  14. 1H: kc_width_percentage - 0.126673
  15. ¸
  16. 15m: ema9 - 0.0297152
  17. 15m: ema21 - 0.029729
  18. 15m: ema50 - 0.0300688
  19. 15m: ema100 - 0.0303801
  20. 15m: price_ema9_diff - 0.0119366
  21. 15m: ema9_ema21_diff - -0.000463573
  22. 15m: ema21_ema50_diff - -0.0112982
  23. 15m: price_ema100_diff - -0.01021
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.546725
  27. 15m: kc_percentage - 0.707788
  28. 15m: kc_width_percentage - 0.0559426
  29. ¸
  30. 5m: ema9 - 0.0297287
  31. 5m: ema21 - 0.02968
  32. 5m: ema50 - 0.0296562
  33. 5m: ema100 - 0.0297633
  34. 5m: price_ema9_diff - 0.0114778
  35. 5m: ema9_ema21_diff - 0.00164153
  36. 5m: ema21_ema50_diff - 0.000803333
  37. 5m: price_ema100_diff - 0.0103032
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.629834
  41. 5m: kc_percentage - 1.02211
  42. 5m: kc_width_percentage - 0.0246798
  43. ¸

Short Trade on ZEREBRO

The 05 Jun 2025 at 20:33:29

With 827 ZEREBRO at 0.03007$ per unit.

Take profit at 0.02963 (1.5 %) and Stop Loss at 0.03036 (0.96 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -28.54 %

Symbol Start at Seach Score Trade Score Trades Count
TURBO 2025-06-05 20:37:38 0.9145 -13.33 3
LISTA 2025-06-05 20:35:00 0.9107 30 2
LISTA 2025-04-17 03:26:19 0.9047 -15 2
FLOKI 2025-06-05 20:31:04 0.9085 -100 1
SPX 2025-06-05 20:33:00 0.9069 -100 1
WLD 2025-06-05 20:36:42 0.9046 30 1
TRUMP 2025-05-12 18:41:15 0.9027 -100 2
DARK 2025-05-01 17:45:55 0.9019 40 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
20:33:29
05 Jun 2025
21:15:00
41 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03007 0.03036 0.02963 1.5 0.03
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 0.03007
  • Stop Loss: 0.03036
  • Take Profit: 0.02963

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03036 - 0.03007 = 0.00029

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03007 - 0.02963 = 0.00044

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00044 / 0.00029 = 1.5172

📌 Position Size

Amount Margin Quantity Leverage
827 100 27500 8.27
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 0.03007 = 829.52

Donc, tu peux acheter 27586.21 avec un stoploss a 0.03036

Avec un position size USD de 829.52$

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 0.00044 = 12.14

Si Take Profit atteint, tu gagneras 12.14$

Résumé

  • Taille de position 27586.21
  • Taille de position USD 829.52
  • Perte potentielle 8
  • Gain potentiel 12.14
  • Risk-Reward Ratio 1.5172

📌 Peformances

TP % Target TP $ Target
1.5 % 12 $
SL % Target SL $ Target
0.96 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.46 -0.53209178583306

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02949
            [stop_loss] => 0.03036
            [rr_ratio] => 2
            [closed_at] => 2025-06-05 21:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.029345
            [stop_loss] => 0.03036
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-05 22:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0292
            [stop_loss] => 0.03036
            [rr_ratio] => 3
            [closed_at] => 2025-06-06 02:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.029055
            [stop_loss] => 0.03036
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-06 02:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.02891
            [stop_loss] => 0.03036
            [rr_ratio] => 4
            [closed_at] => 2025-06-06 02:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.028765
            [stop_loss] => 0.03036
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-06 02:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.02862
            [stop_loss] => 0.03036
            [rr_ratio] => 5
            [closed_at] => 2025-06-06 02:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)