Trade

sell - CETUS

Status
win
2025-05-30 01:38:55
6 minutes
PNL
1.28
Entry: 0.1488
Last: 0.14690000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.065
Prediction 1 Accuracy
Weak Trade
0.69
Prediction 2 Accuracy
0 0.53
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0008211143645
Details
  1. score: 1.04
  2. 1H: ema9 - 0.1512
  3. 1H: ema21 - 0.154981
  4. 1H: ema50 - 0.155052
  5. 1H: ema100 - 0.151018
  6. 1H: price_ema9_diff - -0.0159396
  7. 1H: ema9_ema21_diff - -0.0243979
  8. 1H: ema21_ema50_diff - -0.000457359
  9. 1H: price_ema100_diff - -0.0147552
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - True
  12. 1H: rsi - 0.352583
  13. 1H: kc_percentage - 0.101448
  14. 1H: kc_width_percentage - 0.101532
  15. ¸
  16. 15m: ema9 - 0.147292
  17. 15m: ema21 - 0.148867
  18. 15m: ema50 - 0.152884
  19. 15m: ema100 - 0.155688
  20. 15m: price_ema9_diff - 0.0101689
  21. 15m: ema9_ema21_diff - -0.0105798
  22. 15m: ema21_ema50_diff - -0.0262759
  23. 15m: price_ema100_diff - -0.0443076
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.443273
  27. 15m: kc_percentage - 0.514273
  28. 15m: kc_width_percentage - 0.0418307
  29. ¸
  30. 5m: ema9 - 0.147296
  31. 5m: ema21 - 0.147039
  32. 5m: ema50 - 0.14808
  33. 5m: ema100 - 0.150559
  34. 5m: price_ema9_diff - 0.0101372
  35. 5m: ema9_ema21_diff - 0.00175273
  36. 5m: ema21_ema50_diff - -0.00703077
  37. 5m: price_ema100_diff - -0.0117551
  38. 5m: all_emas_in_trend - False
  39. 5m: all_emas_and_price_in_trend - False
  40. 5m: rsi - 0.63772
  41. 5m: kc_percentage - 1.03667
  42. 5m: kc_width_percentage - 0.0219896
  43. ¸

Short Trade on CETUS

The 30 May 2025 at 01:38:55

With 966.4 CETUS at 0.1488$ per unit.

Take profit at 0.1469 (1.3 %) and Stop Loss at 0.15 (0.81 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -4.39 %

Symbol Start at Seach Score Trade Score Trades Count
IP 2025-03-28 05:14:32 0.9785 -100 1
BGB 2025-05-30 01:39:18 0.9733 36.67 3
REZ 2025-05-30 01:35:12 0.9655 35 2
MBOX 2025-04-06 18:41:42 0.9665 80 1
PARTI 2025-04-10 14:04:37 0.9664 -100 1
ANIME 2025-05-31 00:57:47 0.9643 -100 1
WIF 2025-05-31 01:02:48 0.9642 40 1
LTC 2025-04-15 16:40:14 0.9642 60 1
ZRO 2025-05-17 00:41:52 0.9637 50 1
ARC 2025-04-06 17:02:33 0.9631 -100 1
PAXG 2025-05-01 01:44:41 0.9628 50 1

📌 Time Data

Start at Closed at Duration
30 May 2025
01:38:55
30 May 2025
01:45:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1488 0.15 0.1469 1.6 0.1216
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 0.1488
  • Stop Loss: 0.15
  • Take Profit: 0.1469

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.15 - 0.1488 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1488 - 0.1469 = 0.0019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0019 / 0.0012 = 1.5833

📌 Position Size

Amount Margin Quantity Leverage
966.4 100 6495 9.66
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.1488 = 992

Donc, tu peux acheter 6666.67 avec un stoploss a 0.15

Avec un position size USD de 992$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0019 = 12.67

Si Take Profit atteint, tu gagneras 12.67$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 992
  • Perte potentielle 8
  • Gain potentiel 12.67
  • Risk-Reward Ratio 1.5833

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.81 % 7.8 $
RR PNL PNL % Max Drawdown
1.6 12 $ 1.28 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1464
            [stop_loss] => 0.15
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 02:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1458
            [stop_loss] => 0.15
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 02:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1452
            [stop_loss] => 0.15
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 02:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1446
            [stop_loss] => 0.15
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 02:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.144
            [stop_loss] => 0.15
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 02:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1434
            [stop_loss] => 0.15
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 02:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1428
            [stop_loss] => 0.15
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 02:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)