Short Trade on PENGU 16 Sep 2025 at 02:04:15

Take profit at 0.03266 (0.94 %) and Stop Loss at 0.03313 (0.49 %)

Short Trade on PENGU

The 16 Sep 2025 at 02:04:15

With 50404.915 PENGU at 0.03297$ per unit.

Position size of 1662.0013 $

Take profit at 0.03266 (0.94 %) and Stop Loss at 0.03313 (0.49 %)

That's a 1.94 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.89
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.5
Prediction 3 Probability
1 0.55
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.714241

15m : 0.101066

1H : 0.110891

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.0001058097872
Details
  1. score: 1.21
  2. 1H
  3. ema9 : 0.0328489
  4. ema21 : 0.033109
  5. ema50 : 0.0339197
  6. ema100 : 0.0348124
  7. price_ema9_diff : 0.00377762
  8. ema9_ema21_diff : -0.00785762
  9. ema21_ema50_diff : -0.0238998
  10. price_ema100_diff : -0.0528399
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0423131
  14. ema_slope_21 : -0.125239
  15. ema_slope_50 : -0.152164
  16. ema_slope_100 : -0.122047
  17. rsi : 0.434565
  18. adx : 0.445261
  19. kc_percentage : 0.42926
  20. kc_width_percentage : 0.0464323
  21. volume_ema_diff : -0.462452
  22. volume_ema1 : 1298003.633231
  23. volume_ema2 : 2414676.6351977
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0327279
  28. ema21 : 0.0327442
  29. ema50 : 0.0328934
  30. ema100 : 0.0332459
  31. price_ema9_diff : 0.00748895
  32. ema9_ema21_diff : -0.000498797
  33. ema21_ema50_diff : -0.00453631
  34. price_ema100_diff : -0.00820944
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0255767
  38. ema_slope_21 : -0.0435252
  39. ema_slope_50 : -0.0389192
  40. ema_slope_100 : -0.0412396
  41. rsi : 0.570237
  42. adx : 0.295926
  43. kc_percentage : 0.785338
  44. kc_width_percentage : 0.0247814
  45. volume_ema_diff : -0.099705
  46. volume_ema1 : 421020.48802789
  47. volume_ema2 : 467647.27755958
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.0327586
  52. ema21 : 0.0326622
  53. ema50 : 0.0326889
  54. ema100 : 0.0328093
  55. price_ema9_diff : 0.00654255
  56. ema9_ema21_diff : 0.00295092
  57. ema21_ema50_diff : -0.000815958
  58. price_ema100_diff : 0.00498874
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0752875
  62. ema_slope_21 : 0.0342308
  63. ema_slope_50 : 0.00165339
  64. ema_slope_100 : -0.00817932
  65. rsi : 0.71089
  66. adx : 0.228398
  67. kc_percentage : 1.21489
  68. kc_width_percentage : 0.0130475
  69. volume_ema_diff : 0.424498
  70. volume_ema1 : 219202.45845809
  71. volume_ema2 : 153880.45391169
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115348
  77. 5m_price_ema100_diff:
    0.00475885
  78. 5m_price:
    115897
  79. 5m_correlation_with_coin:
    0.714241
  80. btc_indicators
  81. 15m_ema100:
    115353
  82. 15m_price_ema100_diff:
    0.00472178
  83. 15m_price:
    115897
  84. 15m_correlation_with_coin:
    0.101066
  85. btc_indicators
  86. 1H_ema100:
    115397
  87. 1H_price_ema100_diff:
    0.00433946
  88. 1H_price:
    115897
  89. 1H_correlation_with_coin:
    0.110891
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
02:04:15
16 Sep 2025
02:10:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03297 0.03313 0.03266 1.94 0.006848
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 0.03297
  • Stop Loss: 0.03313
  • Take Profit: 0.03266

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03313 - 0.03297 = 0.00016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03297 - 0.03266 = 0.00031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00031 / 0.00016 = 1.9375

📌 Position Size

Amount Margin Quantity Leverage
1662.0013 100 50404.915 16.62
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 0.00016

Taille de position = 8 / 0.00016 = 50000

Taille de position USD = 50000 x 0.03297 = 1648.5

Donc, tu peux acheter 50000 avec un stoploss a 0.03313

Avec un position size USD de 1648.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 50000 x 0.00016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 50000 x 0.00031 = 15.5

Si Take Profit atteint, tu gagneras 15.5$

Résumé

  • Taille de position 50000
  • Taille de position USD 1648.5
  • Perte potentielle 8
  • Gain potentiel 15.5
  • Risk-Reward Ratio 1.9375

📌 Peformances

TP % Target TP $ Target
0.94 % 15.63 $
SL % Target SL $ Target
0.49 % 8.06 $
PNL PNL %
-8.07 $ -0.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6642 % 136.86 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03266
            [entry_price] => 0.03297
            [stop_loss] => 0.033146
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 02:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03266
            [entry_price] => 0.03297
            [stop_loss] => 0.033162
            [rr_ratio] => 1.61
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 02:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03266
            [entry_price] => 0.03297
            [stop_loss] => 0.033178
            [rr_ratio] => 1.49
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 02:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03266
            [entry_price] => 0.03297
            [stop_loss] => 0.03321
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 04:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00019
            [max_drawdown] => 0.00022
            [rr_ratio] => 0.86
            [high] => 0.03319000
            [low] => 0.03278000
            [mfe_pct] => 0.58
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 0.86
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T02:04:15-04:00
            [end_at] => 2025-09-16T04:04:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00019
            [max_drawdown] => 0.00056
            [rr_ratio] => 0.34
            [high] => 0.03353000
            [low] => 0.03278000
            [mfe_pct] => 0.58
            [mae_pct] => 1.7
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T02:04:15-04:00
            [end_at] => 2025-09-16T09:04:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03299400
            [high_after] => 0.03329100
            [low_before] => 0.03214500
            [low_after] => 0.03278000
            [is_new_high] => 
            [is_new_low] => 
        )

)