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Trade

sell - PENGU

Status
win
2025-06-13 07:09:10
15 minutes
PNL
1.32
Entry: 0.009536
Last: 0.00941000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.0111
Prediction 1 Accuracy
Weak Trade
0.69
Prediction 2 Accuracy
0 0.58
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 5.577713305E-5
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 0.00945606
  4. ema21 - 0.00977755
  5. ema50 - 0.0103561
  6. ema100 - 0.0105968
  7. price_ema9_diff - 0.00845368
  8. ema9_ema21_diff - -0.0328804
  9. ema21_ema50_diff - -0.0558689
  10. price_ema100_diff - -0.100106
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.376536
  14. kc_percentage - 0.256969
  15. kc_width_percentage - 0.0917974
  16. volume_ema_diff - -0.277949
    17. ¸
  17. 15m
  18. ema9 - 0.00941989
  19. ema21 - 0.00938513
  20. ema50 - 0.00953078
  21. ema100 - 0.00986095
  22. price_ema9_diff - 0.012325
  23. ema9_ema21_diff - 0.00370382
  24. ema21_ema50_diff - -0.0152817
  25. price_ema100_diff - -0.0329534
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.600702
  29. kc_percentage - 0.865475
  30. kc_width_percentage - 0.0433457
  31. volume_ema_diff - 0.145427
    32. ¸
  32. 5m
  33. ema9 - 0.00945514
  34. ema21 - 0.00940289
  35. ema50 - 0.00935973
  36. ema100 - 0.00931505
  37. price_ema9_diff - 0.00855142
  38. ema9_ema21_diff - 0.0055564
  39. ema21_ema50_diff - 0.00461141
  40. price_ema100_diff - 0.0237194
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.669951
  44. kc_percentage - 1.07826
  45. kc_width_percentage - 0.0236342
  46. volume_ema_diff - 0.285655
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104410
  50. 5m_price_ema100_diff: 0.00532397
  51. 5m_price: 104966
  52. 5m_correlation_with_coin: 0.68218
  53. btc_indicators
  54. 15m_ema100: 105412
  55. 15m_price_ema100_diff: -0.00422607
  56. 15m_price: 104966
  57. btc_indicators
  58. 1H_ema100: 107104
  59. 1H_price_ema100_diff: -0.0199619
  60. 1H_price: 104966
    61. ¸

Short Trade on PENGU

The 13 Jun 2025 at 07:09:10

With 95620 PENGU at 0.009536$ per unit.

Position size of 911.8 $

Take profit at 0.00941 (1.3 %) and Stop Loss at 0.00962 (0.88 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -21.82 %

Symbol Start at Seach Score Trade Score Trades Count
1000BONK 2025-06-13 07:08:14 0.9899 -100 3
CHILLGUY 2025-06-13 07:08:55 0.9922 30 1
1000000MOG 2025-06-13 07:08:12 0.9906 30 1
MELANIA 2025-06-13 07:09:55 0.9854 30 1
DOGE 2025-06-13 07:04:54 0.9837 -100 1
BABY 2025-06-13 07:10:55 0.9821 30 1
XRP 2025-06-13 07:01:26 0.9743 -100 2
BGB 2025-06-22 20:44:35 0.9693 -100 1
IO 2025-06-06 02:19:53 0.9692 40 1
ALGO 2025-07-02 00:28:22 0.9689 -100 1
NEIROETH 2025-04-05 23:11:25 0.9654 100 1

📌 Time Data

Start at Closed at Duration
13 Jun 2025
07:09:10		 13 Jun 2025
07:25:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.009536 0.00962 0.00941 1.5 0.01649
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 0.009536
  • Stop Loss: 0.00962
  • Take Profit: 0.00941

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.00962 - 0.009536 = 8.4000000000001E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.009536 - 0.00941 = 0.000126

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.000126 / 8.4000000000001E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
911.8 100 95620 9.12
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 8.4000000000001E-5

Taille de position = 8 / 8.4000000000001E-5 = 95238.1

Taille de position USD = 95238.1 x 0.009536 = 908.19

Donc, tu peux acheter 95238.1 avec un stoploss a 0.00962

Avec un position size USD de 908.19$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 95238.1 x 8.4000000000001E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 95238.1 x 0.000126 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 95238.1
  • Taille de position USD 908.19
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.88 % 8 $
PNL PNL %
12 $ 1.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2412 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.009368
            [stop_loss] => 0.00962
            [rr_ratio] => 2
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.009326
            [stop_loss] => 0.00962
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.009284
            [stop_loss] => 0.00962
            [rr_ratio] => 3
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.009242
            [stop_loss] => 0.00962
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.0092
            [stop_loss] => 0.00962
            [rr_ratio] => 4
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.009158
            [stop_loss] => 0.00962
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.009116
            [stop_loss] => 0.00962
            [rr_ratio] => 5
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.009074
            [stop_loss] => 0.00962
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.009032
            [stop_loss] => 0.00962
            [rr_ratio] => 6
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.00899
            [stop_loss] => 0.00962
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.008948
            [stop_loss] => 0.00962
            [rr_ratio] => 7
            [closed_at] => 2025-06-13 08:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)