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Trade

sell - ME

Status
win
2025-06-05 08:50:46
54 minutes
PNL
1.10
Entry: 0.891
Last: 0.88120000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.7136
Prediction 1 Accuracy
Strong Trade
0.54
Prediction 2 Accuracy
1 0.47
ML Trade Score: 50

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.004365282836
Details
  1. score: 1.09
  2. 1H: ema9 - 0.889327
  3. 1H: ema21 - 0.914772
  4. 1H: ema50 - 0.928475
  5. 1H: ema100 - 0.905605
  6. 1H: price_ema9_diff - 0.00188075
  7. 1H: ema9_ema21_diff - -0.0278155
  8. 1H: ema21_ema50_diff - -0.0147583
  9. 1H: price_ema100_diff - -0.0161277
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.41072
  13. 1H: kc_percentage - 0.253643
  14. 1H: kc_width_percentage - 0.100431
    15. ¸
  15. 15m: ema9 - 0.880221
  16. 15m: ema21 - 0.88165
  17. 15m: ema50 - 0.897779
  18. 15m: ema100 - 0.926779
  19. 15m: price_ema9_diff - 0.0122447
  20. 15m: ema9_ema21_diff - -0.00162052
  21. 15m: ema21_ema50_diff - -0.0179653
  22. 15m: price_ema100_diff - -0.0386059
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.567025
  26. 15m: kc_percentage - 0.819573
  27. 15m: kc_width_percentage - 0.0342155
    28. ¸
  28. 5m: ema9 - 0.885448
  29. 5m: ema21 - 0.88013
  30. 5m: ema50 - 0.879625
  31. 5m: ema100 - 0.887135
  32. 5m: price_ema9_diff - 0.00626995
  33. 5m: ema9_ema21_diff - 0.00604152
  34. 5m: ema21_ema50_diff - 0.00057503
  35. 5m: price_ema100_diff - 0.00435648
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.713299
  39. 5m: kc_percentage - 1.09023
  40. 5m: kc_width_percentage - 0.0201697
    41. ¸

Short Trade on ME

The 05 Jun 2025 at 08:50:46

With 1089 ME at 0.891$ per unit.

Take profit at 0.8812 (1.1 %) and Stop Loss at 0.8975 (0.73 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -41.67 %

Symbol Start at Seach Score Trade Score Trades Count
APT 2025-05-31 00:55:02 0.9485 35 2
BRETT 2025-05-31 01:04:41 0.9475 -100 1
VIRTUAL 2025-05-31 00:48:33 0.9445 -100 2
RENDER 2025-05-31 00:54:49 0.945 30 1
JUP 2025-05-31 00:52:08 0.944 30 1
MOCA 2025-05-31 00:54:34 0.9431 -100 1
1000BONK 2025-05-31 00:51:38 0.943 30 1
AIXBT 2025-05-31 00:56:30 0.9428 -100 1
IO 2025-05-31 00:53:50 0.9421 -100 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
08:50:46		 05 Jun 2025
09:45:00		 54 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.891 0.8975 0.8812 1.5 0.855
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 0.891
  • Stop Loss: 0.8975
  • Take Profit: 0.8812

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8975 - 0.891 = 0.0065

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.891 - 0.8812 = 0.0098

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0098 / 0.0065 = 1.5077

📌 Position Size

Amount Margin Quantity Leverage
1089 100 1222 10.89
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 0.0065

Taille de position = 8 / 0.0065 = 1230.77

Taille de position USD = 1230.77 x 0.891 = 1096.62

Donc, tu peux acheter 1230.77 avec un stoploss a 0.8975

Avec un position size USD de 1096.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1230.77 x 0.0065 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1230.77 x 0.0098 = 12.06

Si Take Profit atteint, tu gagneras 12.06$

Résumé

  • Taille de position 1230.77
  • Taille de position USD 1096.62
  • Perte potentielle 8
  • Gain potentiel 12.06
  • Risk-Reward Ratio 1.5077

📌 Peformances

TP % Target TP $ Target
1.1 % 12 $
SL % Target SL $ Target
0.73 % 7.9 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.10 -0.56116722783389

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.878
            [stop_loss] => 0.8975
            [rr_ratio] => 2
            [closed_at] => 2025-06-05 09:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.87475
            [stop_loss] => 0.8975
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-05 10:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.8715
            [stop_loss] => 0.8975
            [rr_ratio] => 3
            [closed_at] => 2025-06-05 12:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.86825
            [stop_loss] => 0.8975
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-05 12:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.865
            [stop_loss] => 0.8975
            [rr_ratio] => 4
            [closed_at] => 2025-06-05 12:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.86175
            [stop_loss] => 0.8975
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-05 12:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.8585
            [stop_loss] => 0.8975
            [rr_ratio] => 5
            [closed_at] => 2025-06-05 12:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)