Short Trade on PENGU 16 Sep 2025 at 02:12:48

Take profit at 0.03268 (0.97 %) and Stop Loss at 0.03316 (0.48 %)

Short Trade on PENGU

The 16 Sep 2025 at 02:12:48

With 49392.4099 PENGU at 0.033$ per unit.

Position size of 1630.0977 $

Take profit at 0.03268 (0.97 %) and Stop Loss at 0.03316 (0.48 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.04
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.57
Prediction 3 Probability
1 0.59
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 : bull_low

BTC Correlation Score

5m : 0.704623

15m : -0.039239

1H : -0.132877

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0001079788037
Details
  1. score: 1.16
  2. 1H
  3. ema9 : 0.0328549
  4. ema21 : 0.0331117
  5. ema50 : 0.0339209
  6. ema100 : 0.034813
  7. price_ema9_diff : 0.00450742
  8. ema9_ema21_diff : -0.00775814
  9. ema21_ema50_diff : -0.0238532
  10. price_ema100_diff : -0.0519943
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0407987
  14. ema_slope_21 : -0.124563
  15. ema_slope_50 : -0.15188
  16. ema_slope_100 : -0.121907
  17. rsi : 0.44113
  18. adx : 0.44487
  19. kc_percentage : 0.447428
  20. kc_width_percentage : 0.0467779
  21. volume_ema_diff : -0.431389
  22. volume_ema1 : 1378387.4536406
  23. volume_ema2 : 2424133.5552459
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0327339
  28. ema21 : 0.0327469
  29. ema50 : 0.0328946
  30. ema100 : 0.0332465
  31. price_ema9_diff : 0.00822076
  32. ema9_ema21_diff : -0.000398816
  33. ema21_ema50_diff : -0.00448901
  34. price_ema100_diff : -0.00732481
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0240537
  38. ema_slope_21 : -0.0428347
  39. ema_slope_50 : -0.0386225
  40. ema_slope_100 : -0.0410914
  41. rsi : 0.578426
  42. adx : 0.295384
  43. kc_percentage : 0.813642
  44. kc_width_percentage : 0.0251468
  45. volume_ema_diff : 0.0509325
  46. volume_ema1 : 501404.30843743
  47. volume_ema2 : 477104.19760776
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.0328233
  52. ema21 : 0.0327091
  53. ema50 : 0.0327078
  54. ema100 : 0.0328167
  55. price_ema9_diff : 0.00547171
  56. ema9_ema21_diff : 0.00349253
  57. ema21_ema50_diff : 4.06966E-5
  58. price_ema100_diff : 0.00567477
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0788762
  62. ema_slope_21 : 0.0428391
  63. ema_slope_50 : 0.00784154
  64. ema_slope_100 : -0.00482677
  65. rsi : 0.695122
  66. adx : 0.250595
  67. kc_percentage : 1.15579
  68. kc_width_percentage : 0.0133574
  69. volume_ema_diff : 0.12554
  70. volume_ema1 : 169805.94019628
  71. volume_ema2 : 150866.08290909
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115370
  77. 5m_price_ema100_diff:
    0.00496173
  78. 5m_price:
    115943
  79. 5m_correlation_with_coin:
    0.704623
  80. btc_indicators
  81. 15m_ema100:
    115354
  82. 15m_price_ema100_diff:
    0.00510837
  83. 15m_price:
    115943
  84. 15m_correlation_with_coin:
    -0.039239
  85. btc_indicators
  86. 1H_ema100:
    115397
  87. 1H_price_ema100_diff:
    0.00472591
  88. 1H_price:
    115943
  89. 1H_correlation_with_coin:
    -0.132877
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
02:12:48
16 Sep 2025
02:15:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.033 0.03316 0.03268 2 0.007132
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 0.033
  • Stop Loss: 0.03316
  • Take Profit: 0.03268

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03316 - 0.033 = 0.00016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.033 - 0.03268 = 0.00032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00032 / 0.00016 = 2

📌 Position Size

Amount Margin Quantity Leverage
1630.0977 100 49392.4099 16.30
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 0.033 = 1650

Donc, tu peux acheter 50000 avec un stoploss a 0.03316

Avec un position size USD de 1650$

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 0.00032 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 50000
  • Taille de position USD 1650
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.97 % 15.81 $
SL % Target SL $ Target
0.48 % 7.9 $
PNL PNL %
-7.9 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5758 % 118.77 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03268
            [entry_price] => 0.033
            [stop_loss] => 0.033176
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 02:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03268
            [entry_price] => 0.033
            [stop_loss] => 0.033192
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 04:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03268
            [entry_price] => 0.033
            [stop_loss] => 0.033208
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 04:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03268
            [entry_price] => 0.033
            [stop_loss] => 0.03324
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 04:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00022
            [max_drawdown] => 0.000216
            [rr_ratio] => 1.02
            [high] => 0.03321600
            [low] => 0.03278000
            [mfe_pct] => 0.67
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 1.02
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T02:12:48-04:00
            [end_at] => 2025-09-16T04:12:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00022
            [max_drawdown] => 0.000597
            [rr_ratio] => 0.37
            [high] => 0.03359700
            [low] => 0.03278000
            [mfe_pct] => 0.67
            [mae_pct] => 1.81
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T02:12:48-04:00
            [end_at] => 2025-09-16T09:12:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03318900
            [high_after] => 0.03332000
            [low_before] => 0.03214500
            [low_after] => 0.03278000
            [is_new_high] => 
            [is_new_low] => 
        )

)