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Trade

sell - HMSTR

Status
win
2025-05-12 18:27:48
1 hour
PNL
0.57
Entry: 0.002639
Last: 0.00262400

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.203
Prediction 1 Accuracy
Weak Trade
0.71
Prediction 2 Accuracy
0 0.59
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 6.599230819E-6
Details
  1. score: 1.1
  2. 1H: ema9 - 0.00261817
  3. 1H: ema21 - 0.00265414
  4. 1H: ema50 - 0.00269832
  5. 1H: ema100 - 0.00271059
  6. 1H: price_ema9_diff - 0.00795346
  7. 1H: ema9_ema21_diff - -0.0135533
  8. 1H: ema21_ema50_diff - -0.0163705
  9. 1H: price_ema100_diff - -0.0264121
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.460162
  13. 1H: kc_percentage - 0.43261
  14. 1H: kc_width_percentage - 0.0707699
    15. ¸
  15. 15m: ema9 - 0.00261943
  16. 15m: ema21 - 0.00261087
  17. 15m: ema50 - 0.00263179
  18. 15m: ema100 - 0.00266212
  19. 15m: price_ema9_diff - 0.00747086
  20. 15m: ema9_ema21_diff - 0.0032764
  21. 15m: ema21_ema50_diff - -0.00794883
  22. 15m: price_ema100_diff - -0.00868625
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.596662
  26. 15m: kc_percentage - 0.923807
  27. 15m: kc_width_percentage - 0.0252881
    28. ¸
  28. 5m: ema9 - 0.00263673
  29. 5m: ema21 - 0.00262276
  30. 5m: ema50 - 0.00260983
  31. 5m: ema100 - 0.00261504
  32. 5m: price_ema9_diff - 0.000859167
  33. 5m: ema9_ema21_diff - 0.00532564
  34. 5m: ema21_ema50_diff - 0.00495606
  35. 5m: price_ema100_diff - 0.00916062
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.679689
  39. 5m: kc_percentage - 1.10093
  40. 5m: kc_width_percentage - 0.00963011
    41. ¸

Short Trade on HMSTR

The 12 May 2025 at 18:27:48

With 2133 HMSTR at 0.002639$ per unit.

Take profit at 0.002624 (0.57 %) and Stop Loss at 0.002649 (0.38 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -10 %

Symbol Start at Seach Score Trade Score Trades Count
ENA 2025-05-31 02:37:00 0.9418 -100 1
DOG 2025-05-31 02:24:23 0.9319 -100 2
SUI 2025-05-31 02:41:11 0.9296 30 2
ORDI 2025-05-31 02:27:09 0.9305 30 3
BTC 2025-05-31 02:44:19 0.9312 30 1
ACT 2025-04-02 05:51:52 0.9296 100 1
HIFI 2025-05-31 02:37:39 0.9281 30 1
MEW 2025-05-31 02:27:28 0.9258 -100 1

📌 Time Data

Start at Closed at Duration
12 May 2025
18:27:48		 12 May 2025
20:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.002639 0.002649 0.002624 1.5 0.002022
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 0.002639
  • Stop Loss: 0.002649
  • Take Profit: 0.002624

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.002649 - 0.002639 = 1.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.002639 - 0.002624 = 1.5E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 1.5E-5 / 1.0E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2133 100 808200 21.33
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 1.0E-5

Taille de position = 8 / 1.0E-5 = 800000

Taille de position USD = 800000 x 0.002639 = 2111.2

Donc, tu peux acheter 800000 avec un stoploss a 0.002649

Avec un position size USD de 2111.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 800000 x 1.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 800000 x 1.5E-5 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 800000
  • Taille de position USD 2111.2
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.57 % 12 $
SL % Target SL $ Target
0.38 % 8.1 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.57 -0.22735884804852

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.002619
            [stop_loss] => 0.002649
            [rr_ratio] => 2
            [closed_at] => 2025-05-12 20:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.002614
            [stop_loss] => 0.002649
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-12 20:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.002609
            [stop_loss] => 0.002649
            [rr_ratio] => 3
            [closed_at] => 2025-05-12 20:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.002604
            [stop_loss] => 0.002649
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-12 21:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.002599
            [stop_loss] => 0.002649
            [rr_ratio] => 4
            [closed_at] => 2025-05-12 21:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.002594
            [stop_loss] => 0.002649
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-12 21:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.002589
            [stop_loss] => 0.002649
            [rr_ratio] => 5
            [closed_at] => 2025-05-12 21:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)