Trade

sell - PENGU

Status
win
2025-07-17 14:04:26
1 hour
PNL
1.89
Entry: 0.03075
Last: 0.03017000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.6091
Prediction 1 Accuracy
Weak Trade
0.55
Prediction 2 Accuracy
1 0.46
ML Trade Score: 80

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0002555316753
Details
  1. score: 1.13
  2. 1H
  3. ema9 - 0.0306844
  4. ema21 - 0.0310152
  5. ema50 - 0.031313
  6. ema100 - 0.0310589
  7. price_ema9_diff - 0.00210335
  8. ema9_ema21_diff - -0.0106647
  9. ema21_ema50_diff - -0.00951026
  10. price_ema100_diff - -0.0099792
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.469776
  14. kc_percentage - 0.438202
  15. kc_width_percentage - 0.126457
  16. volume_ema_diff - -0.413372
  17. volume_ema1 - 8305448.1139724
  18. volume_ema2 - 14157967.844836
  19. ¸
  20. 15m
  21. ema9 - 0.0302464
  22. ema21 - 0.0303744
  23. ema50 - 0.0306583
  24. ema100 - 0.0311093
  25. price_ema9_diff - 0.0166141
  26. ema9_ema21_diff - -0.00421225
  27. ema21_ema50_diff - -0.00926048
  28. price_ema100_diff - -0.0115827
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.548265
  32. kc_percentage - 0.715257
  33. kc_width_percentage - 0.0585639
  34. volume_ema_diff - -0.373146
  35. volume_ema1 - 1904500.8730747
  36. volume_ema2 - 3038192.1309768
  37. ¸
  38. 5m
  39. ema9 - 0.0302891
  40. ema21 - 0.0301151
  41. ema50 - 0.0302854
  42. ema100 - 0.0306004
  43. price_ema9_diff - 0.0151823
  44. ema9_ema21_diff - 0.00577687
  45. ema21_ema50_diff - -0.00562386
  46. price_ema100_diff - 0.00485417
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.710052
  50. kc_percentage - 1.12815
  51. kc_width_percentage - 0.0327072
  52. volume_ema_diff - -0.355589
  53. volume_ema1 - 634346.17254931
  54. volume_ema2 - 984381.83440194
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 118579
  59. 5m_price_ema100_diff: 0.00565311
  60. 5m_price: 119250
  61. 5m_correlation_with_coin: 0.401221
  62. btc_indicators
  63. 15m_ema100: 118675
  64. 15m_price_ema100_diff: 0.00484463
  65. 15m_price: 119250
  66. btc_indicators
  67. 1H_ema100: 118593
  68. 1H_price_ema100_diff: 0.00553246
  69. 1H_price: 119250
  70. ¸

Short Trade on PENGU

The 17 Jul 2025 at 14:04:26

With 20870 PENGU at 0.03075$ per unit.

Position size of 641.8 $

Take profit at 0.03017 (1.9 %) and Stop Loss at 0.03113 (1.2 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -40 %

Symbol Start at Seach Score Trade Score Trades Count
DMC 2025-07-13 01:17:54 0.7914 -100 2
DOGE 2025-06-15 18:25:51 0.7831 40 2
LPT 2025-07-02 01:06:33 0.7569 -100 1
INJ 2025-06-15 18:30:51 0.7507 -30 2
HIPPO 2025-05-31 09:06:49 0.7523 30 1
AIXBT 2025-07-08 13:09:31 0.7506 -100 1
APE 2025-06-12 09:09:05 0.7504 30 1
TAO 2025-06-20 03:19:09 0.7439 -100 1
TAO 2025-06-15 18:24:31 0.7423 -100 1
CRV 2025-07-05 02:34:52 0.7419 30 1

📌 Time Data

Start at Closed at Duration
17 Jul 2025
14:04:26
17 Jul 2025
15:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03075 0.03113 0.03017 1.5 0.03199
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 0.03075
  • Stop Loss: 0.03113
  • Take Profit: 0.03017

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03113 - 0.03075 = 0.00038

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03075 - 0.03017 = 0.00058

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00058 / 0.00038 = 1.5263

📌 Position Size

Amount Margin Quantity Leverage
641.8 100 20870 6.42
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 0.00038

Taille de position = 8 / 0.00038 = 21052.63

Taille de position USD = 21052.63 x 0.03075 = 647.37

Donc, tu peux acheter 21052.63 avec un stoploss a 0.03113

Avec un position size USD de 647.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 21052.63 x 0.00038 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 21052.63 x 0.00058 = 12.21

Si Take Profit atteint, tu gagneras 12.21$

Résumé

  • Taille de position 21052.63
  • Taille de position USD 647.37
  • Perte potentielle 8
  • Gain potentiel 12.21
  • Risk-Reward Ratio 1.5263

📌 Peformances

TP % Target TP $ Target
1.9 % 12 $
SL % Target SL $ Target
1.2 % 7.9 $
PNL PNL %
12 $ 1.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8325 % 67.37 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02999
            [stop_loss] => 0.03113
            [rr_ratio] => 2
            [closed_at] => 2025-07-17 15:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0298
            [stop_loss] => 0.03113
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-17 15:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02961
            [stop_loss] => 0.03113
            [rr_ratio] => 3
            [closed_at] => 2025-07-17 15:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.02942
            [stop_loss] => 0.03113
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-17 16:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.02923
            [stop_loss] => 0.03113
            [rr_ratio] => 4
            [closed_at] => 2025-07-17 16:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.02904
            [stop_loss] => 0.03113
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-17 17:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.02885
            [stop_loss] => 0.03113
            [rr_ratio] => 5
            [closed_at] => 2025-07-17 17:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.02866
            [stop_loss] => 0.03113
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-17 17:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.02847
            [stop_loss] => 0.03113
            [rr_ratio] => 6
            [closed_at] => 2025-07-17 17:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.02828
            [stop_loss] => 0.03113
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-17 17:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.02809
            [stop_loss] => 0.03113
            [rr_ratio] => 7
            [closed_at] => 2025-07-17 17:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)