Trade

sell - PENGU

Status
win
2025-07-17 14:13:14
1 hour
PNL
1.82
Entry: 0.03085
Last: 0.03029000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2424
Prediction 1 Accuracy
Weak Trade
0.55
Prediction 2 Accuracy
0 0.38
ML Trade Score: 80

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.000247607007
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.0307038
  4. ema21 - 0.031024
  5. ema50 - 0.0313168
  6. ema100 - 0.0310608
  7. price_ema9_diff - 0.00462939
  8. ema9_ema21_diff - -0.0103206
  9. ema21_ema50_diff - -0.00934899
  10. price_ema100_diff - -0.00691752
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.476922
  14. kc_percentage - 0.461108
  15. kc_width_percentage - 0.127149
  16. volume_ema_diff - -0.38142
  17. volume_ema1 - 8793336.8755768
  18. volume_ema2 - 14215366.522671
  19. ¸
  20. 15m
  21. ema9 - 0.0302658
  22. ema21 - 0.0303832
  23. ema50 - 0.0306621
  24. ema100 - 0.0311112
  25. price_ema9_diff - 0.0191674
  26. ema9_ema21_diff - -0.00386275
  27. ema21_ema50_diff - -0.00909579
  28. price_ema100_diff - -0.00852596
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.560816
  32. kc_percentage - 0.759157
  33. kc_width_percentage - 0.059469
  34. volume_ema_diff - -0.227162
  35. volume_ema1 - 2392389.6346791
  36. volume_ema2 - 3095590.8088126
  37. ¸
  38. 5m
  39. ema9 - 0.0304836
  40. ema21 - 0.030239
  41. ema50 - 0.0303268
  42. ema100 - 0.0306065
  43. price_ema9_diff - 0.0118874
  44. ema9_ema21_diff - 0.0080875
  45. ema21_ema50_diff - -0.00289368
  46. price_ema100_diff - 0.00782303
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.728343
  50. kc_percentage - 1.12196
  51. kc_width_percentage - 0.0312542
  52. volume_ema_diff - -0.314864
  53. volume_ema1 - 666352.93936613
  54. volume_ema2 - 972585.96093568
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 118589
  59. 5m_price_ema100_diff: 0.00662685
  60. 5m_price: 119374
  61. 5m_correlation_with_coin: 0.405444
  62. btc_indicators
  63. 15m_ema100: 118677
  64. 15m_price_ema100_diff: 0.00587612
  65. 15m_price: 119374
  66. btc_indicators
  67. 1H_ema100: 118596
  68. 1H_price_ema100_diff: 0.00656465
  69. 1H_price: 119374
  70. ¸

Short Trade on PENGU

The 17 Jul 2025 at 14:13:14

With 21540 PENGU at 0.03085$ per unit.

Position size of 664.4 $

Take profit at 0.03029 (1.8 %) and Stop Loss at 0.03122 (1.2 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -35.45 %

Symbol Start at Seach Score Trade Score Trades Count
DMC 2025-07-13 01:17:54 0.7954 -100 2
INIT 2025-07-17 14:14:57 0.7979 -100 1
APE 2025-06-12 09:09:05 0.7829 30 1
DOGE 2025-06-15 18:25:51 0.7747 40 2
LPT 2025-07-02 01:06:33 0.7695 -100 1
HIPPO 2025-05-31 09:06:49 0.7625 30 1
INJ 2025-06-15 18:38:18 0.7592 40 1
FARTCOIN 2025-07-19 07:09:40 0.7515 40 1
AIXBT 2025-07-08 13:09:31 0.7476 -100 1
BERA 2025-04-04 01:31:42 0.7471 -70 1
TAO 2025-06-15 18:24:31 0.7453 -100 1

📌 Time Data

Start at Closed at Duration
17 Jul 2025
14:13:14
17 Jul 2025
15:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03085 0.03122 0.03029 1.5 0.03376
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 0.03085
  • Stop Loss: 0.03122
  • Take Profit: 0.03029

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03122 - 0.03085 = 0.00037

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03085 - 0.03029 = 0.00056

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00056 / 0.00037 = 1.5135

📌 Position Size

Amount Margin Quantity Leverage
664.4 100 21540 6.64
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 0.00037

Taille de position = 8 / 0.00037 = 21621.62

Taille de position USD = 21621.62 x 0.03085 = 667.03

Donc, tu peux acheter 21621.62 avec un stoploss a 0.03122

Avec un position size USD de 667.03$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 21621.62 x 0.00037 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 21621.62 x 0.00056 = 12.11

Si Take Profit atteint, tu gagneras 12.11$

Résumé

  • Taille de position 21621.62
  • Taille de position USD 667.03
  • Perte potentielle 8
  • Gain potentiel 12.11
  • Risk-Reward Ratio 1.5135

📌 Peformances

TP % Target TP $ Target
1.8 % 12 $
SL % Target SL $ Target
1.2 % 8 $
PNL PNL %
12 $ 1.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5057 % 42.16 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.03011
            [stop_loss] => 0.03122
            [rr_ratio] => 2
            [closed_at] => 2025-07-17 15:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.029925
            [stop_loss] => 0.03122
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-17 15:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02974
            [stop_loss] => 0.03122
            [rr_ratio] => 3
            [closed_at] => 2025-07-17 15:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.029555
            [stop_loss] => 0.03122
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-17 16:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.02937
            [stop_loss] => 0.03122
            [rr_ratio] => 4
            [closed_at] => 2025-07-17 16:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.029185
            [stop_loss] => 0.03122
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-17 17:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.029
            [stop_loss] => 0.03122
            [rr_ratio] => 5
            [closed_at] => 2025-07-17 17:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.028815
            [stop_loss] => 0.03122
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-17 17:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.02863
            [stop_loss] => 0.03122
            [rr_ratio] => 6
            [closed_at] => 2025-07-17 17:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.028445
            [stop_loss] => 0.03122
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-17 17:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.02826
            [stop_loss] => 0.03122
            [rr_ratio] => 7
            [closed_at] => 2025-07-17 17:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)