Short Trade on PENGU 04 Oct 2025 at 15:23:50

Take profit at 0.02969 (0.87 %) and Stop Loss at 0.03008 (0.43 %)

Short Trade on PENGU

The 04 Oct 2025 at 15:23:50

With 61678.3994 PENGU at 0.02995$ per unit.

Position size of 1847.3297 $

Take profit at 0.02969 (0.87 %) and Stop Loss at 0.03008 (0.43 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.66
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
0 0.69
Prediction 3 Probability
1 0.64
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low

BTC Correlation Score

5m : 0.632761

15m : 0.047426

1H : 0.095373

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 8.647003459E-5
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.0301143
  4. ema21 : 0.0305748
  5. ema50 : 0.0308022
  6. ema100 : 0.0303193
  7. price_ema9_diff : -0.00542457
  8. ema9_ema21_diff : -0.0150606
  9. ema21_ema50_diff : -0.00738261
  10. price_ema100_diff : -0.0121481
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.362467
  14. ema_slope_21 : -0.222898
  15. ema_slope_50 : -0.0875332
  16. ema_slope_100 : -0.00103335
  17. rsi : 0.386405
  18. adx : 0.160923
  19. kc_percentage : 0.195322
  20. kc_width_percentage : 0.0655861
  21. volume_ema_diff : -0.345706
  22. volume_ema1 : 2371767.6023153
  23. volume_ema2 : 3624928.9633472
  24. chop : 37.9308
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0297763
  29. ema21 : 0.0299367
  30. ema50 : 0.0303872
  31. ema100 : 0.0307584
  32. price_ema9_diff : 0.00586628
  33. ema9_ema21_diff : -0.00535822
  34. ema21_ema50_diff : -0.0148259
  35. price_ema100_diff : -0.0262497
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0406824
  39. ema_slope_21 : -0.118261
  40. ema_slope_50 : -0.111216
  41. ema_slope_100 : -0.0760131
  42. rsi : 0.438178
  43. adx : 0.381607
  44. kc_percentage : 0.540211
  45. kc_width_percentage : 0.0268751
  46. volume_ema_diff : -0.453437
  47. volume_ema1 : 439576.88819758
  48. volume_ema2 : 804256.71172501
  49. chop : 68.7711
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.0298085
  54. ema21 : 0.0297595
  55. ema50 : 0.0298543
  56. ema100 : 0.030101
  57. price_ema9_diff : 0.00477765
  58. ema9_ema21_diff : 0.00164781
  59. ema21_ema50_diff : -0.00317522
  60. price_ema100_diff : -0.004985
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0256177
  64. ema_slope_21 : 0.0142254
  65. ema_slope_50 : -0.0144253
  66. ema_slope_100 : -0.0250856
  67. rsi : 0.62417
  68. adx : 0.18933
  69. kc_percentage : 1.07667
  70. kc_width_percentage : 0.0110084
  71. volume_ema_diff : 0.106029
  72. volume_ema1 : 251385.96520892
  73. volume_ema2 : 227286.86913883
  74. chop : 46.3838
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121858
  80. 5m_price_ema100_diff:
    -0.00120717
  81. 5m_price:
    121711
  82. 5m_correlation_with_coin:
    0.632761
  83. btc_indicators
  84. 15m_ema100:
    122118
  85. 15m_price_ema100_diff:
    -0.00333566
  86. 15m_price:
    121711
  87. 15m_correlation_with_coin:
    0.047426
  88. btc_indicators
  89. 1H_ema100:
    119369
  90. 1H_price_ema100_diff:
    0.019621
  91. 1H_price:
    121711
  92. 1H_correlation_with_coin:
    0.095373
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Oct 2025
15:23:50
04 Oct 2025
16:00:00
36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02995 0.03008 0.02969 2 0.006933
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 0.02995
  • Stop Loss: 0.03008
  • Take Profit: 0.02969

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03008 - 0.02995 = 0.00013

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02995 - 0.02969 = 0.00026

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00026 / 0.00013 = 2

📌 Position Size

Amount Margin Quantity Leverage
1847.3297 100 61678.3994 18.47
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 0.00013

Taille de position = 8 / 0.00013 = 61538.46

Taille de position USD = 61538.46 x 0.02995 = 1843.08

Donc, tu peux acheter 61538.46 avec un stoploss a 0.03008

Avec un position size USD de 1843.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 61538.46 x 0.00013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 61538.46 x 0.00026 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 61538.46
  • Taille de position USD 1843.08
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.87 % 16.04 $
SL % Target SL $ Target
0.43 % 8.02 $
PNL PNL %
-8.02 $ -0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4741 % 109.21 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02969
            [entry_price] => 0.02995
            [stop_loss] => 0.030093
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-04 16:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02969
            [entry_price] => 0.02995
            [stop_loss] => 0.030106
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-04 16:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02969
            [entry_price] => 0.02995
            [stop_loss] => 0.030119
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-04 16:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02969
            [entry_price] => 0.02995
            [stop_loss] => 0.030145
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-04 16:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000144
            [max_drawdown] => 0.000234
            [rr_ratio] => 0.62
            [high] => 0.03018400
            [low] => 0.02980600
            [mfe_pct] => 0.48
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 0.62
            [candles_analyzed] => 24
            [start_at] => 2025-10-04T15:23:50-04:00
            [end_at] => 2025-10-04T17:23:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000144
            [max_drawdown] => 0.000516
            [rr_ratio] => 0.28
            [high] => 0.03046600
            [low] => 0.02980600
            [mfe_pct] => 0.48
            [mae_pct] => 1.72
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 84
            [start_at] => 2025-10-04T15:23:50-04:00
            [end_at] => 2025-10-04T22:23:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02997000
            [high_after] => 0.03046600
            [low_before] => 0.02931000
            [low_after] => 0.02980600
            [is_new_high] => 
            [is_new_low] => 
        )

)