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Trade

sell - PENGU

Status
win
2025-06-13 08:17:12
52 minutes
PNL
1.23
Entry: 0.009641
Last: 0.00952200

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2682
Prediction 1 Accuracy
Weak Trade
0.55
Prediction 2 Accuracy
0 0.42
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 5.307084668E-5
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.00949832
  4. ema21 - 0.00976787
  5. ema50 - 0.010331
  6. ema100 - 0.0105908
  7. price_ema9_diff - 0.0150206
  8. ema9_ema21_diff - -0.0275948
  9. ema21_ema50_diff - -0.0545088
  10. price_ema100_diff - -0.0896849
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.413285
  14. kc_percentage - 0.38499
  15. kc_width_percentage - 0.0904846
  16. volume_ema_diff - -0.409903
    17. ¸
  17. 15m
  18. ema9 - 0.00952485
  19. ema21 - 0.00945127
  20. ema50 - 0.00952998
  21. ema100 - 0.00979568
  22. price_ema9_diff - 0.0121937
  23. ema9_ema21_diff - 0.00778523
  24. ema21_ema50_diff - -0.00825914
  25. price_ema100_diff - -0.0157906
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.644085
  29. kc_percentage - 0.968769
  30. kc_width_percentage - 0.0413842
  31. volume_ema_diff - -0.565645
    32. ¸
  32. 5m
  33. ema9 - 0.00957038
  34. ema21 - 0.00950586
  35. ema50 - 0.00943392
  36. ema100 - 0.00938781
  37. price_ema9_diff - 0.00737894
  38. ema9_ema21_diff - 0.00678739
  39. ema21_ema50_diff - 0.00762527
  40. price_ema100_diff - 0.0269696
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.711733
  44. kc_percentage - 1.12464
  45. kc_width_percentage - 0.0217643
  46. volume_ema_diff - -0.38083
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104579
  50. 5m_price_ema100_diff: 0.00588708
  51. 5m_price: 105194
  52. 5m_correlation_with_coin: 0.6181
  53. btc_indicators
  54. 15m_ema100: 105345
  55. 15m_price_ema100_diff: -0.00143432
  56. 15m_price: 105194
  57. btc_indicators
  58. 1H_ema100: 107157
  59. 1H_price_ema100_diff: -0.0183146
  60. 1H_price: 105194
    61. ¸

Short Trade on PENGU

The 13 Jun 2025 at 08:17:12

With 100500 PENGU at 0.009641$ per unit.

Position size of 968.9 $

Take profit at 0.009522 (1.2 %) and Stop Loss at 0.009721 (0.83 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 41.21 %

Symbol Start at Seach Score Trade Score Trades Count
CHILLGUY 2025-06-13 08:16:33 0.9805 33.33 3
LINK 2025-06-13 08:11:09 0.9851 40 1
1000BONK 2025-06-13 08:14:19 0.9849 50 1
GALA 2025-06-13 08:12:10 0.9846 60 1
ATOM 2025-06-13 08:11:53 0.9832 40 1
JUP 2025-06-13 08:14:43 0.9821 30 1
VET 2025-06-13 08:13:29 0.9819 40 1
XLM 2025-06-13 08:11:41 0.9806 40 1
ARB 2025-06-13 08:13:40 0.9798 40 1
TURBO 2025-06-13 08:25:05 0.9786 40 1
DOG 2025-06-13 08:04:27 0.9786 40 1

📌 Time Data

Start at Closed at Duration
13 Jun 2025
08:17:12		 13 Jun 2025
09:10:00		 52 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.009641 0.009721 0.009522 1.5 0.0159
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 0.009641
  • Stop Loss: 0.009721
  • Take Profit: 0.009522

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.009721 - 0.009641 = 8.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.009641 - 0.009522 = 0.000119

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.000119 / 8.0E-5 = 1.4875

📌 Position Size

Amount Margin Quantity Leverage
968.9 100 100500 9.69
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 8.0E-5

Taille de position = 8 / 8.0E-5 = 100000

Taille de position USD = 100000 x 0.009641 = 964.1

Donc, tu peux acheter 100000 avec un stoploss a 0.009721

Avec un position size USD de 964.1$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 100000 x 8.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 100000 x 0.000119 = 11.9

Si Take Profit atteint, tu gagneras 11.9$

Résumé

  • Taille de position 100000
  • Taille de position USD 964.1
  • Perte potentielle 8
  • Gain potentiel 11.9
  • Risk-Reward Ratio 1.4875

📌 Peformances

TP % Target TP $ Target
1.2 % 12 $
SL % Target SL $ Target
0.83 % 8 $
PNL PNL %
12 $ 1.23
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7157 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.009481
            [stop_loss] => 0.009721
            [rr_ratio] => 2
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.009441
            [stop_loss] => 0.009721
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.009401
            [stop_loss] => 0.009721
            [rr_ratio] => 3
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.009361
            [stop_loss] => 0.009721
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.009321
            [stop_loss] => 0.009721
            [rr_ratio] => 4
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.009281
            [stop_loss] => 0.009721
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.009241
            [stop_loss] => 0.009721
            [rr_ratio] => 5
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.009201
            [stop_loss] => 0.009721
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.009161
            [stop_loss] => 0.009721
            [rr_ratio] => 6
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.009121
            [stop_loss] => 0.009721
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.009081
            [stop_loss] => 0.009721
            [rr_ratio] => 7
            [closed_at] => 2025-06-13 09:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)