Short Trade on PENGU 06 Sep 2025 at 10:09:04

Take profit at 0.02879 (0.59 %) and Stop Loss at 0.02905 (0.31 %)

Short Trade on PENGU

The 06 Sep 2025 at 10:09:04

With 90971.435 PENGU at 0.02896$ per unit.

Position size of 2634.7147 $

Take profit at 0.02879 (0.59 %) and Stop Loss at 0.02905 (0.31 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.38
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.45
Prediction 3 Probability
1 0.71
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.600465

15m : 0.029645

1H : -0.190397

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 5.862646151E-5
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.0288811
  4. ema21 : 0.0289716
  5. ema50 : 0.0291304
  6. ema100 : 0.0292785
  7. price_ema9_diff : 0.00279977
  8. ema9_ema21_diff : -0.00312304
  9. ema21_ema50_diff : -0.00545368
  10. price_ema100_diff : -0.0108114
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.110152
  14. ema_slope_21 : -0.0693301
  15. ema_slope_50 : -0.0464925
  16. ema_slope_100 : -0.0315227
  17. rsi : 0.489693
  18. adx : 0.150208
  19. kc_percentage : 0.496478
  20. kc_width_percentage : 0.0350127
  21. volume_ema_diff : -0.679526
  22. volume_ema1 : 483294.37812304
  23. volume_ema2 : 1508065.2395049
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0288283
  28. ema21 : 0.028815
  29. ema50 : 0.0289069
  30. ema100 : 0.0291313
  31. price_ema9_diff : 0.00463572
  32. ema9_ema21_diff : 0.000461103
  33. ema21_ema50_diff : -0.00317841
  34. price_ema100_diff : -0.00581222
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.019065
  38. ema_slope_21 : 0.00214079
  39. ema_slope_50 : -0.0168602
  40. ema_slope_100 : -0.0249061
  41. rsi : 0.596529
  42. adx : 0.165887
  43. kc_percentage : 0.854933
  44. kc_width_percentage : 0.0143882
  45. volume_ema_diff : -0.192022
  46. volume_ema1 : 180009.10474984
  47. volume_ema2 : 222789.81700032
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 0.0288367
  52. ema21 : 0.0288156
  53. ema50 : 0.0287954
  54. ema100 : 0.028787
  55. price_ema9_diff : 0.00434287
  56. ema9_ema21_diff : 0.000732943
  57. ema21_ema50_diff : 0.000701003
  58. price_ema100_diff : 0.00607607
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.00430294
  62. ema_slope_21 : 0.00366288
  63. ema_slope_50 : 0.00372905
  64. ema_slope_100 : 0.00217929
  65. rsi : 0.6826
  66. adx : 0.175398
  67. kc_percentage : 1.0825
  68. kc_width_percentage : 0.00860858
  69. volume_ema_diff : 0.941411
  70. volume_ema1 : 102558.65595868
  71. volume_ema2 : 52826.848083439
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110753
  77. 5m_price_ema100_diff:
    0.00116466
  78. 5m_price:
    110882
  79. 5m_correlation_with_coin:
    0.600465
  80. btc_indicators
  81. 15m_ema100:
    111109
  82. 15m_price_ema100_diff:
    -0.00204053
  83. 15m_price:
    110882
  84. 15m_correlation_with_coin:
    0.029645
  85. btc_indicators
  86. 1H_ema100:
    110875
  87. 1H_price_ema100_diff:
    6.77135E-5
  88. 1H_price:
    110882
  89. 1H_correlation_with_coin:
    -0.190397
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Sep 2025
10:09:04
06 Sep 2025
10:20:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02896 0.02905 0.02879 1.89 0.006766
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 0.02896
  • Stop Loss: 0.02905
  • Take Profit: 0.02879

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02905 - 0.02896 = 9.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02896 - 0.02879 = 0.00017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00017 / 9.0E-5 = 1.8889

📌 Position Size

Amount Margin Quantity Leverage
2634.7147 100 90971.435 26.35
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 9.0E-5

Taille de position = 8 / 9.0E-5 = 88888.89

Taille de position USD = 88888.89 x 0.02896 = 2574.22

Donc, tu peux acheter 88888.89 avec un stoploss a 0.02905

Avec un position size USD de 2574.22$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 88888.89 x 9.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 88888.89 x 0.00017 = 15.11

Si Take Profit atteint, tu gagneras 15.11$

Résumé

  • Taille de position 88888.89
  • Taille de position USD 2574.22
  • Perte potentielle 8
  • Gain potentiel 15.11
  • Risk-Reward Ratio 1.8889

📌 Peformances

TP % Target TP $ Target
0.59 % 15.47 $
SL % Target SL $ Target
0.31 % 8.19 $
PNL PNL %
-8.19 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.518 % 166.67 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02879
            [entry_price] => 0.02896
            [stop_loss] => 0.029059
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-06 10:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02879
            [entry_price] => 0.02896
            [stop_loss] => 0.029068
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-06 10:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02879
            [entry_price] => 0.02896
            [stop_loss] => 0.029077
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-06 10:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02879
            [entry_price] => 0.02896
            [stop_loss] => 0.029095
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-06 10:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00031
            [max_drawdown] => 0.000244
            [rr_ratio] => 1.27
            [high] => 0.02920400
            [low] => 0.02865000
            [mfe_pct] => 1.07
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 1.27
            [candles_analyzed] => 24
            [start_at] => 2025-09-06T10:09:04-04:00
            [end_at] => 2025-09-06T12:09:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000556
            [max_drawdown] => 0.000244
            [rr_ratio] => 2.28
            [high] => 0.02920400
            [low] => 0.02840400
            [mfe_pct] => 1.92
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 2.28
            [candles_analyzed] => 84
            [start_at] => 2025-09-06T10:09:04-04:00
            [end_at] => 2025-09-06T17:09:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02901900
            [high_after] => 0.02920400
            [low_before] => 0.02863900
            [low_after] => 0.02840400
            [is_new_high] => 
            [is_new_low] => 1
        )

)