Short Trade on PENDLE 22 Sep 2025 at 08:52:57

Take profit at 4.7502 (0.93 %) and Stop Loss at 4.8171 (0.47 %)

Short Trade on PENDLE

The 22 Sep 2025 at 08:52:57

With 358.6363 PENDLE at 4.7948$ per unit.

Position size of 1719.5895 $

Take profit at 4.7502 (0.93 %) and Stop Loss at 4.8171 (0.47 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.74
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.51
Prediction 3 Probability
0 0.54
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.842476

15m : 0.095579

1H : -0.000945

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.01487114622
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 4.74807
  4. ema21 : 4.83032
  5. ema50 : 4.94395
  6. ema100 : 5.02013
  7. price_ema9_diff : 0.00984183
  8. ema9_ema21_diff : -0.0170296
  9. ema21_ema50_diff : -0.0229835
  10. price_ema100_diff : -0.0448865
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.417232
  14. ema_slope_21 : -0.334608
  15. ema_slope_50 : -0.204615
  16. ema_slope_100 : -0.122201
  17. rsi : 0.426007
  18. adx : 0.506797
  19. kc_percentage : 0.400116
  20. kc_width_percentage : 0.0613621
  21. volume_ema_diff : -0.036543
  22. volume_ema1 : 542203.11697172
  23. volume_ema2 : 562768.40103165
  24. chop : 15.6765
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 4.7502
  29. ema21 : 4.72924
  30. ema50 : 4.77261
  31. ema100 : 4.85279
  32. price_ema9_diff : 0.00938825
  33. ema9_ema21_diff : 0.00443074
  34. ema21_ema50_diff : -0.00908704
  35. price_ema100_diff : -0.0119511
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.139473
  39. ema_slope_21 : 0.0386504
  40. ema_slope_50 : -0.0442338
  41. ema_slope_100 : -0.0576096
  42. rsi : 0.629625
  43. adx : 0.347336
  44. kc_percentage : 1.04135
  45. kc_width_percentage : 0.0252487
  46. volume_ema_diff : -0.762761
  47. volume_ema1 : 43866.994123152
  48. volume_ema2 : 184906.74888325
  49. chop : 44.0734
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 4.7784
  54. ema21 : 4.75359
  55. ema50 : 4.72634
  56. ema100 : 4.72935
  57. price_ema9_diff : 0.00343038
  58. ema9_ema21_diff : 0.0052198
  59. ema21_ema50_diff : 0.00576625
  60. price_ema100_diff : 0.0138384
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.105314
  64. ema_slope_21 : 0.0875157
  65. ema_slope_50 : 0.0515633
  66. ema_slope_100 : 0.0205811
  67. rsi : 0.75532
  68. adx : 0.39794
  69. kc_percentage : 1.20178
  70. kc_width_percentage : 0.0117279
  71. volume_ema_diff : -0.707122
  72. volume_ema1 : 12030.534691576
  73. volume_ema2 : 41077.05582185
  74. chop : 37.6684
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112948
  80. 5m_price_ema100_diff:
    -0.00224875
  81. 5m_price:
    112694
  82. 5m_correlation_with_coin:
    0.842476
  83. btc_indicators
  84. 15m_ema100:
    114021
  85. 15m_price_ema100_diff:
    -0.0126904
  86. 15m_price:
    112574
  87. 15m_correlation_with_coin:
    0.095579
  88. btc_indicators
  89. 1H_ema100:
    115433
  90. 1H_price_ema100_diff:
    -0.0237221
  91. 1H_price:
    112694
  92. 1H_correlation_with_coin:
    -0.000945
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
08:52:57
22 Sep 2025
09:10:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.7948 4.8171 4.7502 2 1.294
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 4.7948
  • Stop Loss: 4.8171
  • Take Profit: 4.7502

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.8171 - 4.7948 = 0.0223

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.7948 - 4.7502 = 0.0446

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0446 / 0.0223 = 2

📌 Position Size

Amount Margin Quantity Leverage
1719.5895 100 358.6363 17.20
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 0.0223

Taille de position = 8 / 0.0223 = 358.74

Taille de position USD = 358.74 x 4.7948 = 1720.09

Donc, tu peux acheter 358.74 avec un stoploss a 4.8171

Avec un position size USD de 1720.09$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 358.74 x 0.0223 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 358.74 x 0.0446 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 358.74
  • Taille de position USD 1720.09
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.93 % 16 $
SL % Target SL $ Target
0.47 % 8 $
PNL PNL %
-8 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5798 % 124.66 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.7502
            [entry_price] => 4.7948
            [stop_loss] => 4.81933
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 09:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.7502
            [entry_price] => 4.7948
            [stop_loss] => 4.82156
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 09:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.7502
            [entry_price] => 4.7948
            [stop_loss] => 4.82379
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 09:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.7502
            [entry_price] => 4.7948
            [stop_loss] => 4.82825
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 09:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0171
            [max_drawdown] => 0.065399999999999
            [rr_ratio] => 0.26
            [high] => 4.86020000
            [low] => 4.77770000
            [mfe_pct] => 0.36
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T08:52:57-04:00
            [end_at] => 2025-09-22T10:52:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.057300000000001
            [max_drawdown] => 0.065399999999999
            [rr_ratio] => 0.88
            [high] => 4.86020000
            [low] => 4.73750000
            [mfe_pct] => 1.2
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 0.88
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T08:52:57-04:00
            [end_at] => 2025-09-22T15:52:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.80310000
            [high_after] => 4.86020000
            [low_before] => 4.62760000
            [low_after] => 4.73750000
            [is_new_high] => 
            [is_new_low] => 
        )

)