Web3Way Logo

Short Trade on PENGU

Short Trade on PENGU

The 15 Dec 2025 at 18:55:52

With 145060.4233 PENGU at 0.01023$ per unit.

Position size of 1483.5329 $

Take profit at 0.01012 (1.08 %) and Stop Loss at 0.01028 (0.49 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 6.42
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
1 0.73
Prediction 3 Probability
0 0.89
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.76303

15m : 0.020669

1H : 0.081712

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.32
  4. atr: 3.676628823E-5
Details
  1. score: 1.32
  2. 1H
  3. ema9 - 0.0101524
  4. ema21 - 0.0103244
  5. ema50 - 0.0105729
  6. ema100 - 0.010772
  7. price_ema9_diff - 0.00734766
  8. ema9_ema21_diff - -0.0166683
  9. ema21_ema50_diff - -0.0235004
  10. price_ema100_diff - -0.0505951
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.429801
  14. ema_slope_21 - -0.297609
  15. ema_slope_50 - -0.190414
  16. ema_slope_100 - -0.121833
  17. rsi - 0.423962
  18. adx - 0.298592
  19. kc_percentage - 0.382091
  20. kc_width_percentage - 0.0706148
  21. volume_ema_diff - -0.14058
  22. volume_ema1 - 462899.83175717
  23. volume_ema2 - 538619.23060328
  24. chop - 31.1737
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0100948
  28. ema21 - 0.010077
  29. ema50 - 0.0101888
  30. ema100 - 0.0103095
  31. price_ema9_diff - 0.0130947
  32. ema9_ema21_diff - 0.00176227
  33. ema21_ema50_diff - -0.0109715
  34. price_ema100_diff - -0.00800826
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.104369
  38. ema_slope_21 - 0.0146369
  39. ema_slope_50 - -0.0556561
  40. ema_slope_100 - -0.0511074
  41. rsi - 0.583603
  42. adx - 0.233244
  43. kc_percentage - 0.979629
  44. kc_width_percentage - 0.0309278
  45. volume_ema_diff - -0.494434
  46. volume_ema1 - 74107.004930638
  47. volume_ema2 - 146582.33353208
  48. chop - 54.2203
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0101553
  52. ema21 - 0.0101055
  53. ema50 - 0.0100648
  54. ema100 - 0.0100645
  55. price_ema9_diff - 0.00705856
  56. ema9_ema21_diff - 0.00492676
  57. ema21_ema50_diff - 0.00404663
  58. price_ema100_diff - 0.016145
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.110327
  62. ema_slope_21 - 0.0657948
  63. ema_slope_50 - 0.0346377
  64. ema_slope_100 - 0.0144726
  65. rsi - 0.716507
  66. adx - 0.277693
  67. kc_percentage - 1.31769
  68. kc_width_percentage - 0.0141971
  69. volume_ema_diff - -0.237381
  70. volume_ema1 - 28080.512966123
  71. volume_ema2 - 36821.163752662
  72. chop - 27.7021
  73. regime - bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 86252.7
  77. 5m_price_ema100_diff: 0.00144111
  78. 5m_price: 86377.1
  79. 5m_correlation_with_coin: 0.76303
  80. btc_indicators
  81. 15m_ema100: 87557.6
  82. 15m_price_ema100_diff: -0.0135267
  83. 15m_price: 86373.3
  84. 15m_correlation_with_coin: 0.020669
  85. btc_indicators
  86. 1H_ema100: 89505.8
  87. 1H_price_ema100_diff: -0.0349555
  88. 1H_price: 86377.1
  89. 1H_correlation_with_coin: 0.081712
    90. ¸

📌 Time Data

Start at Closed at Duration
15 Dec 2025
18:55:52		 15 Dec 2025
19:05:00		 9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01023 0.01028 0.01012 2.2 0.01011
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 0.01023
  • Stop Loss: 0.01028
  • Take Profit: 0.01012

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01028 - 0.01023 = 5.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01023 - 0.01012 = 0.00011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00011 / 5.0E-5 = 2.2

📌 Position Size

Amount Margin Quantity Leverage
1483.5329 100 145060.4233 14.84
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 5.0E-5

Taille de position = 8 / 5.0E-5 = 160000

Taille de position USD = 160000 x 0.01023 = 1636.8

Donc, tu peux acheter 160000 avec un stoploss a 0.01028

Avec un position size USD de 1636.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 160000 x 5.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 160000 x 0.00011 = 17.6

Si Take Profit atteint, tu gagneras 17.6$

Résumé

  • Taille de position 160000
  • Taille de position USD 1636.8
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
1.08 % 15.96 $
SL % Target SL $ Target
0.49 % 7.25 $
PNL PNL %
-7.25 $ -0.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.87 % 177.99 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01012
            [entry_price] => 0.01023
            [stop_loss] => 0.010285
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-15 19:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01012
            [entry_price] => 0.01023
            [stop_loss] => 0.01029
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-15 19:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01012
            [entry_price] => 0.01023
            [stop_loss] => 0.010295
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-15 19:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01012
            [entry_price] => 0.01023
            [stop_loss] => 0.010305
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-15 19:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000182
            [max_drawdown] => 8.9000000000001E-5
            [rr_ratio] => 2.04
            [high] => 0.01031900
            [low] => 0.01004800
            [mfe_pct] => 1.78
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 2.04
            [candles_analyzed] => 24
            [start_at] => 2025-12-15T18:55:52-05:00
            [end_at] => 2025-12-15T20:55:52-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000414
            [max_drawdown] => 8.9000000000001E-5
            [rr_ratio] => 4.65
            [high] => 0.01031900
            [low] => 0.00981600
            [mfe_pct] => 4.05
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 4.65
            [candles_analyzed] => 84
            [start_at] => 2025-12-15T18:55:52-05:00
            [end_at] => 2025-12-16T01:55:52-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01026800
            [high_after] => 0.01031900
            [low_before] => 0.00987700
            [low_after] => 0.00981600
            [is_new_high] => 
            [is_new_low] => 1
        )

)