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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: 140

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
  3. ema9 - 0.1512
  4. ema21 - 0.154981
  5. ema50 - 0.155052
  6. ema100 - 0.151018
  7. price_ema9_diff - -0.0159396
  8. ema9_ema21_diff - -0.0243979
  9. ema21_ema50_diff - -0.000457359
  10. price_ema100_diff - -0.0147552
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.352583
  14. kc_percentage - 0.101448
  15. kc_width_percentage - 0.101532
    16. ¸
  16. 15m
  17. ema9 - 0.147292
  18. ema21 - 0.148867
  19. ema50 - 0.152884
  20. ema100 - 0.155688
  21. price_ema9_diff - 0.0101689
  22. ema9_ema21_diff - -0.0105798
  23. ema21_ema50_diff - -0.0262759
  24. price_ema100_diff - -0.0443076
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.443273
  28. kc_percentage - 0.514273
  29. kc_width_percentage - 0.0418307
    30. ¸
  30. 5m
  31. ema9 - 0.147296
  32. ema21 - 0.147039
  33. ema50 - 0.14808
  34. ema100 - 0.150559
  35. price_ema9_diff - 0.0101372
  36. ema9_ema21_diff - 0.00175273
  37. ema21_ema50_diff - -0.00703077
  38. price_ema100_diff - -0.0117551
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.63772
  42. kc_percentage - 1.03667
  43. kc_width_percentage - 0.0219896
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105979
  47. 5m_price_ema100_diff: 0.00223533
  48. 5m_price: 106216
  49. 5m_correlation_with_coin: 0.567582
  50. btc_indicators
  51. 15m_ema100: 106630
  52. 15m_price_ema100_diff: -0.00388289
  53. 15m_price: 106216
  54. btc_indicators
  55. 1H_ema100: 107990
  56. 1H_price_ema100_diff: -0.0164326
  57. 1H_price: 106216
    58. ¸

Short Trade on CETUS

The 30 May 2025 at 01:38:55

With 6495 CETUS at 0.1488$ per unit.

Position size of 966.4 $

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: 6.97 %

Symbol Start at Seach Score Trade Score Trades Count
IP 2025-03-28 05:14:32 0.978 -100 1
BGB 2025-05-30 01:39:18 0.9731 36.67 3
TAO 2025-06-21 20:03:16 0.9701 30 1
ATH 2025-06-19 16:19:00 0.9696 -100 1
COMP 2025-06-13 01:28:39 0.9678 40 2
REZ 2025-05-30 01:37:34 0.9676 40 1
PARTI 2025-04-10 14:04:37 0.9664 -100 1
PNUT 2025-07-07 15:28:00 0.966 60 1
MBOX 2025-04-06 18:41:42 0.9659 80 1
VIRTUAL 2025-07-07 15:27:37 0.9646 60 1
INJ 2025-06-21 20:36:25 0.9645 30 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 0.1224
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 $
PNL PNL %
12 $ 1.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 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
        )

    [5.5] => Array
        (
            [take_profit] => 0.1422
            [stop_loss] => 0.15
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 02:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1416
            [stop_loss] => 0.15
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 04:05:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.141
            [stop_loss] => 0.15
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 04:35:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1404
            [stop_loss] => 0.15
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 05:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)