Short Trade on PENGU 04 Oct 2025 at 16:01:04

Take profit at 0.02977 (0.83 %) and Stop Loss at 0.03014 (0.4 %)

Short Trade on PENGU

The 04 Oct 2025 at 16:01:04

With 65553.235 PENGU at 0.03002$ per unit.

Position size of 1967.7115 $

Take profit at 0.02977 (0.83 %) and Stop Loss at 0.03014 (0.4 %)

That's a 2.08 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.47
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.69
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.652312

15m : 0.053319

1H : -0.029979

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 8.135881222E-5
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.0301032
  4. ema21 : 0.0305284
  5. ema50 : 0.0307747
  6. ema100 : 0.030324
  7. price_ema9_diff : -0.00286368
  8. ema9_ema21_diff : -0.0139286
  9. ema21_ema50_diff : -0.00800313
  10. price_ema100_diff : -0.0101269
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.345081
  14. ema_slope_21 : -0.227422
  15. ema_slope_50 : -0.0949834
  16. ema_slope_100 : -0.00725641
  17. rsi : 0.397872
  18. adx : 0.161785
  19. kc_percentage : 0.231148
  20. kc_width_percentage : 0.0602557
  21. volume_ema_diff : -0.478752
  22. volume_ema1 : 1842441.841913
  23. volume_ema2 : 3534675.6887554
  24. chop : 37.7389
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0298703
  29. ema21 : 0.0299433
  30. ema50 : 0.0303459
  31. ema100 : 0.0307636
  32. price_ema9_diff : 0.00491085
  33. ema9_ema21_diff : -0.00243766
  34. ema21_ema50_diff : -0.0132684
  35. price_ema100_diff : -0.0242703
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0303996
  39. ema_slope_21 : -0.0637572
  40. ema_slope_50 : -0.0887421
  41. ema_slope_100 : -0.0695678
  42. rsi : 0.495691
  43. adx : 0.342827
  44. kc_percentage : 0.615849
  45. kc_width_percentage : 0.0249532
  46. volume_ema_diff : -0.533946
  47. volume_ema1 : 368503.59044738
  48. volume_ema2 : 790689.38953519
  49. chop : 68.092
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 0.0299284
  54. ema21 : 0.0298527
  55. ema50 : 0.029875
  56. ema100 : 0.0300835
  57. price_ema9_diff : 0.00295935
  58. ema9_ema21_diff : 0.00253623
  59. ema21_ema50_diff : -0.000747424
  60. price_ema100_diff : -0.00221162
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0635876
  64. ema_slope_21 : 0.0412102
  65. ema_slope_50 : 0.00611753
  66. ema_slope_100 : -0.0132631
  67. rsi : 0.651503
  68. adx : 0.213538
  69. kc_percentage : 1.01479
  70. kc_width_percentage : 0.0103701
  71. volume_ema_diff : -0.397784
  72. volume_ema1 : 121819.73120172
  73. volume_ema2 : 202285.78224233
  74. chop : 38.0336
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121849
  80. 5m_price_ema100_diff:
    0.00083331
  81. 5m_price:
    121951
  82. 5m_correlation_with_coin:
    0.652312
  83. btc_indicators
  84. 15m_ema100:
    122127
  85. 15m_price_ema100_diff:
    -0.00144294
  86. 15m_price:
    121951
  87. 15m_correlation_with_coin:
    0.053319
  88. btc_indicators
  89. 1H_ema100:
    119478
  90. 1H_price_ema100_diff:
    0.0206947
  91. 1H_price:
    121951
  92. 1H_correlation_with_coin:
    -0.029979
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Oct 2025
16:01:04
04 Oct 2025
16:25:00
23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03002 0.03014 0.02977 2.08 0.006338
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 0.03002
  • Stop Loss: 0.03014
  • Take Profit: 0.02977

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03014 - 0.03002 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03002 - 0.02977 = 0.00025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00025 / 0.00012 = 2.0833

📌 Position Size

Amount Margin Quantity Leverage
1967.7115 100 65553.235 19.68
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 0.00012

Taille de position = 8 / 0.00012 = 66666.67

Taille de position USD = 66666.67 x 0.03002 = 2001.33

Donc, tu peux acheter 66666.67 avec un stoploss a 0.03014

Avec un position size USD de 2001.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 66666.67 x 0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 66666.67 x 0.00025 = 16.67

Si Take Profit atteint, tu gagneras 16.67$

Résumé

  • Taille de position 66666.67
  • Taille de position USD 2001.33
  • Perte potentielle 8
  • Gain potentiel 16.67
  • Risk-Reward Ratio 2.0833

📌 Peformances

TP % Target TP $ Target
0.83 % 16.39 $
SL % Target SL $ Target
0.4 % 7.87 $
PNL PNL %
-7.87 $ -0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5463 % 136.68 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02977
            [entry_price] => 0.03002
            [stop_loss] => 0.030152
            [rr_ratio] => 1.89
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-04 16:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02977
            [entry_price] => 0.03002
            [stop_loss] => 0.030164
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-04 16:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02977
            [entry_price] => 0.03002
            [stop_loss] => 0.030176
            [rr_ratio] => 1.6
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-04 16:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02977
            [entry_price] => 0.03002
            [stop_loss] => 0.0302
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-04 17:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000104
            [max_drawdown] => 0.000193
            [rr_ratio] => 0.54
            [high] => 0.03021300
            [low] => 0.02991600
            [mfe_pct] => 0.35
            [mae_pct] => 0.64
            [mfe_mae_ratio] => 0.54
            [candles_analyzed] => 24
            [start_at] => 2025-10-04T16:01:04-04:00
            [end_at] => 2025-10-04T18:01:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000104
            [max_drawdown] => 0.001397
            [rr_ratio] => 0.07
            [high] => 0.03141700
            [low] => 0.02991600
            [mfe_pct] => 0.35
            [mae_pct] => 4.65
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2025-10-04T16:01:04-04:00
            [end_at] => 2025-10-04T23:01:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03009200
            [high_after] => 0.03046600
            [low_before] => 0.02931000
            [low_after] => 0.02991600
            [is_new_high] => 
            [is_new_low] => 
        )

)