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Short Trade on PENDLE

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Short Trade on PENDLE 04 Sep 2025 at 23:49:57

Take profit at 4.4941 (0.81 %) and Stop Loss at 4.5495 (0.41 %)

Short Trade on PENDLE

The 04 Sep 2025 at 23:49:57

With 433.5407 PENDLE at 4.531$ per unit.

Position size of 1964.3729 $

Take profit at 4.4941 (0.81 %) and Stop Loss at 4.5495 (0.41 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.79
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.77
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.679328

15m : 0.203827

1H : -0.169081

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.01230180522
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 4.51735
  4. ema21 : 4.55825
  5. ema50 : 4.59498
  6. ema100 : 4.59814
  7. price_ema9_diff : 0.0030204
  8. ema9_ema21_diff : -0.00897208
  9. ema21_ema50_diff : -0.00799398
  10. price_ema100_diff : -0.0146023
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.222201
  14. ema_slope_21 : -0.194222
  15. ema_slope_50 : -0.096803
  16. ema_slope_100 : -0.0443855
  17. rsi : 0.439856
  18. adx : 0.198985
  19. kc_percentage : 0.379268
  20. kc_width_percentage : 0.0444384
  21. volume_ema_diff : -0.397425
  22. volume_ema1 : 355077.67014837
  23. volume_ema2 : 589267.71970178
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 4.50384
  27. ema21 : 4.50284
  28. ema50 : 4.52562
  29. ema100 : 4.56647
  30. price_ema9_diff : 0.00603003
  31. ema9_ema21_diff : 0.000220482
  32. ema21_ema50_diff : -0.00503293
  33. price_ema100_diff : -0.0077679
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0063879
  37. ema_slope_21 : -0.0145318
  38. ema_slope_50 : -0.0322443
  39. ema_slope_100 : -0.0345536
  40. rsi : 0.573687
  41. adx : 0.175439
  42. kc_percentage : 0.813515
  43. kc_width_percentage : 0.0200516
  44. volume_ema_diff : -0.439598
  45. volume_ema1 : 59572.219245885
  46. volume_ema2 : 106302.72299917
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 4.50639
  50. ema21 : 4.49949
  51. ema50 : 4.4981
  52. ema100 : 4.49881
  53. price_ema9_diff : 0.0054606
  54. ema9_ema21_diff : 0.00153292
  55. ema21_ema50_diff : 0.00030963
  56. price_ema100_diff : 0.00715323
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.038553
  60. ema_slope_21 : 0.0228692
  61. ema_slope_50 : 0.00723169
  62. ema_slope_100 : 0.00270374
  63. rsi : 0.652417
  64. adx : 0.206957
  65. kc_percentage : 1.14308
  66. kc_width_percentage : 0.0107082
  67. volume_ema_diff : -0.519989
  68. volume_ema1 : 13778.992082526
  69. volume_ema2 : 28705.603993858
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110759
  74. 5m_price_ema100_diff: 
    0.00387494
  75. 5m_price: 
    111189
  76. 5m_correlation_with_coin: 
    0.679328
  77. btc_indicators
  78. 15m_ema100: 
    110676
  79. 15m_price_ema100_diff: 
    0.00463506
  80. 15m_price: 
    111189
  81. 15m_correlation_with_coin: 
    0.203827
  82. btc_indicators
  83. 1H_ema100: 
    110299
  84. 1H_price_ema100_diff: 
    0.00806208
  85. 1H_price: 
    111189
  86. 1H_correlation_with_coin: 
    -0.169081
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
23:49:57		 05 Sep 2025
01:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.531 4.5495 4.4941 1.99 1.2855
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 4.531
  • Stop Loss: 4.5495
  • Take Profit: 4.4941

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.5495 - 4.531 = 0.0185

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.531 - 4.4941 = 0.036899999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.036899999999999 / 0.0185 = 1.9946

📌 Position Size

Amount Margin Quantity Leverage
1964.3729 100 433.5407 19.64
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 0.0185

Taille de position = 8 / 0.0185 = 432.43

Taille de position USD = 432.43 x 4.531 = 1959.34

Donc, tu peux acheter 432.43 avec un stoploss a 4.5495

Avec un position size USD de 1959.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 432.43 x 0.0185 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 432.43 x 0.036899999999999 = 15.96

Si Take Profit atteint, tu gagneras 15.96$

Résumé

  • Taille de position 432.43
  • Taille de position USD 1959.34
  • Perte potentielle 8
  • Gain potentiel 15.96
  • Risk-Reward Ratio 1.9946

📌 Peformances

TP % Target TP $ Target
0.81 % 16 $
SL % Target SL $ Target
0.41 % 8.02 $
PNL PNL %
-8.02 $ -0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8034 % 196.77 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.4941
            [entry_price] => 4.531
            [stop_loss] => 4.55135
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-05 01:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.4941
            [entry_price] => 4.531
            [stop_loss] => 4.5532
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-05 01:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.4941
            [entry_price] => 4.531
            [stop_loss] => 4.55505
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-05 01:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.4941
            [entry_price] => 4.531
            [stop_loss] => 4.55875
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-05 01:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.0364
            [rr_ratio] => 0.85
            [high] => 4.56740000
            [low] => 4.50000000
            [mfe_pct] => 0.68
            [mae_pct] => 0.8
            [mfe_mae_ratio] => 0.85
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T23:49:57-04:00
            [end_at] => 2025-09-05T01:49:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.1697
            [rr_ratio] => 0.18
            [high] => 4.70070000
            [low] => 4.50000000
            [mfe_pct] => 0.68
            [mae_pct] => 3.75
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T23:49:57-04:00
            [end_at] => 2025-09-05T06:49:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.53130000
            [high_after] => 4.70070000
            [low_before] => 4.46280000
            [low_after] => 4.50000000
            [is_new_high] => 
            [is_new_low] => 
        )

)