Short Trade on PENDLE 16 Sep 2025 at 12:05:24

Take profit at 4.8029 (1.12 %) and Stop Loss at 4.8848 (0.56 %)

Short Trade on PENDLE

The 16 Sep 2025 at 12:05:24

With 293.1464 PENDLE at 4.8575$ per unit.

Position size of 1423.9584 $

Take profit at 4.8029 (1.12 %) and Stop Loss at 4.8848 (0.56 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.12
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.59
Prediction 3 Probability
1 0.72
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.506125

15m : 0.086935

1H : 0.204725

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.01819341477
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 4.85899
  4. ema21 : 4.88697
  5. ema50 : 4.9451
  6. ema100 : 5.02033
  7. price_ema9_diff : -0.000307122
  8. ema9_ema21_diff : -0.00572503
  9. ema21_ema50_diff : -0.0117552
  10. price_ema100_diff : -0.0324351
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.0691639
  14. ema_slope_21 : -0.0554275
  15. ema_slope_50 : -0.0675387
  16. ema_slope_100 : -0.0616459
  17. rsi : 0.444088
  18. adx : 0.231031
  19. kc_percentage : 0.38471
  20. kc_width_percentage : 0.0491114
  21. volume_ema_diff : 0.203455
  22. volume_ema1 : 499614.89631539
  23. volume_ema2 : 415150.3405593
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 4.81595
  28. ema21 : 4.84006
  29. ema50 : 4.8725
  30. ema100 : 4.88017
  31. price_ema9_diff : 0.00862752
  32. ema9_ema21_diff : -0.00498261
  33. ema21_ema50_diff : -0.00665748
  34. price_ema100_diff : -0.00464626
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.165563
  38. ema_slope_21 : -0.137532
  39. ema_slope_50 : -0.0750137
  40. ema_slope_100 : -0.0367582
  41. rsi : 0.512607
  42. adx : 0.310068
  43. kc_percentage : 0.637608
  44. kc_width_percentage : 0.0291306
  45. volume_ema_diff : 0.405155
  46. volume_ema1 : 185420.9724488
  47. volume_ema2 : 131957.6546063
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 4.82374
  52. ema21 : 4.80773
  53. ema50 : 4.82846
  54. ema100 : 4.86072
  55. price_ema9_diff : 0.00699858
  56. ema9_ema21_diff : 0.00332891
  57. ema21_ema50_diff : -0.00429326
  58. price_ema100_diff : -0.000662595
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.102514
  62. ema_slope_21 : 0.0329874
  63. ema_slope_50 : -0.0182769
  64. ema_slope_100 : -0.0238432
  65. rsi : 0.665285
  66. adx : 0.297503
  67. kc_percentage : 1.19271
  68. kc_width_percentage : 0.0147518
  69. volume_ema_diff : 0.179322
  70. volume_ema1 : 72796.0740961
  71. volume_ema2 : 61727.018942746
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115358
  77. 5m_price_ema100_diff:
    0.00400393
  78. 5m_price:
    115819
  79. 5m_correlation_with_coin:
    0.506125
  80. btc_indicators
  81. 15m_ema100:
    115243
  82. 15m_price_ema100_diff:
    0.00500522
  83. 15m_price:
    115819
  84. 15m_correlation_with_coin:
    0.086935
  85. btc_indicators
  86. 1H_ema100:
    115406
  87. 1H_price_ema100_diff:
    0.00358109
  88. 1H_price:
    115819
  89. 1H_correlation_with_coin:
    0.204725
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
12:05:24
16 Sep 2025
12:10:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.8575 4.8848 4.8029 2 1.3389
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 4.8575
  • Stop Loss: 4.8848
  • Take Profit: 4.8029

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.8848 - 4.8575 = 0.0273

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.8575 - 4.8029 = 0.0546

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0546 / 0.0273 = 2

📌 Position Size

Amount Margin Quantity Leverage
1423.9584 100 293.1464 14.24
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 0.0273

Taille de position = 8 / 0.0273 = 293.04

Taille de position USD = 293.04 x 4.8575 = 1423.44

Donc, tu peux acheter 293.04 avec un stoploss a 4.8848

Avec un position size USD de 1423.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 293.04 x 0.0273 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 293.04 x 0.0546 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 293.04
  • Taille de position USD 1423.44
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.12 % 16.01 $
SL % Target SL $ Target
0.56 % 8 $
PNL PNL %
-8 $ -0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1323 % 201.48 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.8029
            [entry_price] => 4.8575
            [stop_loss] => 4.88753
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 12:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.8029
            [entry_price] => 4.8575
            [stop_loss] => 4.89026
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 12:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.8029
            [entry_price] => 4.8575
            [stop_loss] => 4.89299
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 12:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.8029
            [entry_price] => 4.8575
            [stop_loss] => 4.89845
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 12:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0127
            [max_drawdown] => 0.133
            [rr_ratio] => -0.1
            [high] => 4.99050000
            [low] => 4.87020000
            [mfe_pct] => -0.26
            [mae_pct] => 2.74
            [mfe_mae_ratio] => -0.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T12:05:24-04:00
            [end_at] => 2025-09-16T14:05:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0127
            [max_drawdown] => 0.2142
            [rr_ratio] => -0.06
            [high] => 5.07170000
            [low] => 4.87020000
            [mfe_pct] => -0.26
            [mae_pct] => 4.41
            [mfe_mae_ratio] => -0.06
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T12:05:24-04:00
            [end_at] => 2025-09-16T19:05:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.95590000
            [high_after] => 5.02340000
            [low_before] => 4.72900000
            [low_after] => 4.87020000
            [is_new_high] => 
            [is_new_low] => 
        )

)