Long Trade on PENDLE 10 Sep 2025 at 12:23:49

Take profit at 4.893 (1.35 %) and Stop Loss at 4.7952 (0.68 %)

Long Trade on PENDLE

The 10 Sep 2025 at 12:23:49

With 245.3006 PENDLE at 4.8278$ per unit.

Position size of 1184.2621 $

Take profit at 4.893 (1.35 %) and Stop Loss at 4.7952 (0.68 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.58
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.57
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_medium

5m_regime : range_medium

BTC Correlation Score

5m : 0.729612

15m : 0.067109

1H : -0.036474

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.02174203362
Details
  1. score: 2.1
  2. 1H
  3. ema9 : 4.82445
  4. ema21 : 4.79098
  5. ema50 : 4.77883
  6. ema100 : 4.75592
  7. price_ema9_diff : 0.000693472
  8. ema9_ema21_diff : 0.00698515
  9. ema21_ema50_diff : 0.0025436
  10. price_ema100_diff : 0.0151132
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 0.180804
  14. ema_slope_21 : 0.0695782
  15. ema_slope_50 : 0.0204227
  16. ema_slope_100 : 0.0178459
  17. rsi : 0.551428
  18. adx : 0.246213
  19. kc_percentage : 0.640823
  20. kc_width_percentage : 0.0525283
  21. volume_ema_diff : -0.0215681
  22. volume_ema1 : 649127.10960402
  23. volume_ema2 : 663436.1877733
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 4.87329
  28. ema21 : 4.85271
  29. ema50 : 4.80366
  30. ema100 : 4.76711
  31. price_ema9_diff : -0.00933514
  32. ema9_ema21_diff : 0.00424118
  33. ema21_ema50_diff : 0.0102107
  34. price_ema100_diff : 0.0127299
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.113612
  38. ema_slope_21 : 0.133901
  39. ema_slope_50 : 0.0962254
  40. ema_slope_100 : 0.0605982
  41. rsi : 0.483499
  42. adx : 0.304077
  43. kc_percentage : 0.320401
  44. kc_width_percentage : 0.0313317
  45. volume_ema_diff : -0.211766
  46. volume_ema1 : 148608.83898596
  47. volume_ema2 : 188534.03485947
  48. regime : bull_medium
  49. ¸
  50. 5m
  51. ema9 : 4.86213
  52. ema21 : 4.87969
  53. ema50 : 4.86511
  54. ema100 : 4.82895
  55. price_ema9_diff : -0.00706194
  56. ema9_ema21_diff : -0.00359803
  57. ema21_ema50_diff : 0.00299617
  58. price_ema100_diff : -0.000239016
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.0745227
  62. ema_slope_21 : -0.0291703
  63. ema_slope_50 : 0.0131066
  64. ema_slope_100 : 0.0237714
  65. rsi : 0.359574
  66. adx : 0.217608
  67. kc_percentage : -0.103582
  68. kc_width_percentage : 0.0176641
  69. volume_ema_diff : -0.0878156
  70. volume_ema1 : 58794.322126281
  71. volume_ema2 : 64454.43007841
  72. regime : range_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113242
  77. 5m_price_ema100_diff:
    0.00349115
  78. 5m_price:
    113638
  79. 5m_correlation_with_coin:
    0.729612
  80. btc_indicators
  81. 15m_ema100:
    112187
  82. 15m_price_ema100_diff:
    0.0127824
  83. 15m_price:
    113621
  84. 15m_correlation_with_coin:
    0.067109
  85. btc_indicators
  86. 1H_ema100:
    111727
  87. 1H_price_ema100_diff:
    0.0171018
  88. 1H_price:
    113638
  89. 1H_correlation_with_coin:
    -0.036474
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
12:23:49
10 Sep 2025
13:25:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.8278 4.7952 4.893 2 1.2848
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 4.8278
  • Stop Loss: 4.7952
  • Take Profit: 4.893

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.7952 - 4.8278 = -0.0326

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.8278 - 4.893 = -0.0652

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0652 / -0.0326 = 2

📌 Position Size

Amount Margin Quantity Leverage
1184.2621 100 245.3006 11.84
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 -0.0326

Taille de position = 8 / -0.0326 = -245.4

Taille de position USD = -245.4 x 4.8278 = -1184.74

Donc, tu peux acheter -245.4 avec un stoploss a 4.7952

Avec un position size USD de -1184.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -245.4 x -0.0326 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -245.4 x -0.0652 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -245.4
  • Taille de position USD -1184.74
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.35 % 15.99 $
SL % Target SL $ Target
0.68 % 8 $
PNL PNL %
-8 $ -0.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.696 % 103.07 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.893
            [entry_price] => 4.8278
            [stop_loss] => 4.79194
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 13:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.893
            [entry_price] => 4.8278
            [stop_loss] => 4.78868
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 13:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.893
            [entry_price] => 4.8278
            [stop_loss] => 4.78542
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 14:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.893
            [entry_price] => 4.8278
            [stop_loss] => 4.7789
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 14:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0251
            [max_drawdown] => 0.0431
            [rr_ratio] => 0.58
            [high] => 4.85290000
            [low] => 4.78470000
            [mfe_pct] => 0.52
            [mae_pct] => 0.89
            [mfe_mae_ratio] => 0.58
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T12:23:49-04:00
            [end_at] => 2025-09-10T14:23:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0251
            [max_drawdown] => 0.1286
            [rr_ratio] => 0.2
            [high] => 4.85290000
            [low] => 4.69920000
            [mfe_pct] => 0.52
            [mae_pct] => 2.66
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T12:23:49-04:00
            [end_at] => 2025-09-10T19:23:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.96160000
            [high_after] => 4.85290000
            [low_before] => 4.74490000
            [low_after] => 4.69920000
            [is_new_high] => 
            [is_new_low] => 
        )

)