Trade

sell - MEW

Status
win
2025-06-05 19:53:49
16 minutes
PNL
1.25
Entry: 0.002966
Last: 0.00292900

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.0704
Prediction 1 Accuracy
Strong Trade
0.55
Prediction 2 Accuracy
0 0.43
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 1.641068177E-5
Details
  1. score: 1.15
  2. 1H: ema9 - 0.00297216
  3. 1H: ema21 - 0.00305366
  4. 1H: ema50 - 0.00315331
  5. 1H: ema100 - 0.00321456
  6. 1H: price_ema9_diff - -0.0020743
  7. 1H: ema9_ema21_diff - -0.0266884
  8. 1H: ema21_ema50_diff - -0.0316025
  9. 1H: price_ema100_diff - -0.0773245
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - True
  12. 1H: rsi - 0.389091
  13. 1H: kc_percentage - 0.19704
  14. 1H: kc_width_percentage - 0.0915536
  15. ¸
  16. 15m: ema9 - 0.00292069
  17. 15m: ema21 - 0.00293417
  18. 15m: ema50 - 0.00300108
  19. 15m: ema100 - 0.00306531
  20. 15m: price_ema9_diff - 0.0155113
  21. 15m: ema9_ema21_diff - -0.00459446
  22. 15m: ema21_ema50_diff - -0.022296
  23. 15m: price_ema100_diff - -0.0323983
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.535488
  27. 15m: kc_percentage - 0.76295
  28. 15m: kc_width_percentage - 0.0438035
  29. ¸
  30. 5m: ema9 - 0.00294054
  31. 5m: ema21 - 0.00292335
  32. 5m: ema50 - 0.00292432
  33. 5m: ema100 - 0.00296326
  34. 5m: price_ema9_diff - 0.00865806
  35. 5m: ema9_ema21_diff - 0.00587754
  36. 5m: ema21_ema50_diff - -0.000332199
  37. 5m: price_ema100_diff - 0.000924478
  38. 5m: all_emas_in_trend - False
  39. 5m: all_emas_and_price_in_trend - False
  40. 5m: rsi - 0.671092
  41. 5m: kc_percentage - 1.15066
  42. 5m: kc_width_percentage - 0.0216032
  43. ¸

Short Trade on MEW

The 05 Jun 2025 at 19:53:49

With 963.9 MEW at 0.002966$ per unit.

Take profit at 0.002929 (1.2 %) and Stop Loss at 0.002991 (0.84 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -7.71 %

Symbol Start at Seach Score Trade Score Trades Count
FLOKI 2025-06-05 20:11:54 0.9702 -35 2
ZEREBRO 2025-05-20 17:02:22 0.9558 -100 1
S 2025-05-17 00:34:35 0.9528 33.33 3
LTC 2025-03-31 09:06:35 0.9526 80 2
ZETA 2025-03-29 20:12:20 0.9522 -100 2
LAYER 2025-04-08 04:21:34 0.9521 60 1
LAYER 2025-05-28 18:11:20 0.9516 -100 1
TAO 2025-03-28 05:34:39 0.9499 100 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
19:53:49
05 Jun 2025
20:10:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.002966 0.002991 0.002929 1.5 0.003177
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 0.002966
  • Stop Loss: 0.002991
  • Take Profit: 0.002929

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.002991 - 0.002966 = 2.5E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.002966 - 0.002929 = 3.7E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 3.7E-5 / 2.5E-5 = 1.48

📌 Position Size

Amount Margin Quantity Leverage
963.9 100 325000 9.64
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 2.5E-5

Taille de position = 8 / 2.5E-5 = 320000

Taille de position USD = 320000 x 0.002966 = 949.12

Donc, tu peux acheter 320000 avec un stoploss a 0.002991

Avec un position size USD de 949.12$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 320000 x 2.5E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 320000 x 3.7E-5 = 11.84

Si Take Profit atteint, tu gagneras 11.84$

Résumé

  • Taille de position 320000
  • Taille de position USD 949.12
  • Perte potentielle 8
  • Gain potentiel 11.84
  • Risk-Reward Ratio 1.48

📌 Peformances

TP % Target TP $ Target
1.2 % 12 $
SL % Target SL $ Target
0.84 % 8.1 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.25 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.002916
            [stop_loss] => 0.002991
            [rr_ratio] => 2
            [closed_at] => 2025-06-05 23:45:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.0029035
            [stop_loss] => 0.002991
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-05 23:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.002891
            [stop_loss] => 0.002991
            [rr_ratio] => 3
            [closed_at] => 2025-06-05 23:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.0028785
            [stop_loss] => 0.002991
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-05 23:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.002866
            [stop_loss] => 0.002991
            [rr_ratio] => 4
            [closed_at] => 2025-06-05 23:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.0028535
            [stop_loss] => 0.002991
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-05 23:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.002841
            [stop_loss] => 0.002991
            [rr_ratio] => 5
            [closed_at] => 2025-06-05 23:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)