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Short Trade on DYDX

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Short Trade on DYDX 30 Sep 2025 at 16:30:27

Take profit at 0.5819 (1.02 %) and Stop Loss at 0.5909 (0.51 %)

Short Trade on DYDX

The 30 Sep 2025 at 16:30:27

With 2680.8816 DYDX at 0.5879$ per unit.

Position size of 1576.0903 $

Take profit at 0.5819 (1.02 %) and Stop Loss at 0.5909 (0.51 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.34
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.476568

15m : -0.029503

1H : -0.010937

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.00198939536
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.58333
  4. ema21 : 0.588111
  5. ema50 : 0.593994
  6. ema100 : 0.595096
  7. price_ema9_diff : 0.00783297
  8. ema9_ema21_diff : -0.00812893
  9. ema21_ema50_diff : -0.00990397
  10. price_ema100_diff : -0.0120936
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.17691
  14. ema_slope_21 : -0.149766
  15. ema_slope_50 : -0.0886376
  16. ema_slope_100 : -0.0424568
  17. rsi : 0.47812
  18. adx : 0.34366
  19. kc_percentage : 0.504803
  20. kc_width_percentage : 0.0514118
  21. volume_ema_diff : 0.424048
  22. volume_ema1 : 766508.70366461
  23. volume_ema2 : 538260.16092948
  24. chop : 42.8322
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.582651
  28. ema21 : 0.580755
  29. ema50 : 0.584094
  30. ema100 : 0.589694
  31. price_ema9_diff : 0.0090081
  32. ema9_ema21_diff : 0.00326433
  33. ema21_ema50_diff : -0.00571595
  34. price_ema100_diff : -0.00304386
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0857839
  38. ema_slope_21 : -0.00176132
  39. ema_slope_50 : -0.0399241
  40. ema_slope_100 : -0.0404072
  41. rsi : 0.63813
  42. adx : 0.290219
  43. kc_percentage : 1.00223
  44. kc_width_percentage : 0.0242674
  45. volume_ema_diff : -0.750429
  46. volume_ema1 : 57774.493224948
  47. volume_ema2 : 231495.82036313
  48. chop : 39.9775
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.586205
  52. ema21 : 0.58275
  53. ema50 : 0.58019
  54. ema100 : 0.581318
  55. price_ema9_diff : 0.0028901
  56. ema9_ema21_diff : 0.0059301
  57. ema21_ema50_diff : 0.00441195
  58. price_ema100_diff : 0.0113221
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.148314
  62. ema_slope_21 : 0.111083
  63. ema_slope_50 : 0.0516697
  64. ema_slope_100 : 0.0177003
  65. rsi : 0.728015
  66. adx : 0.421533
  67. kc_percentage : 1.14839
  68. kc_width_percentage : 0.0129272
  69. volume_ema_diff : -0.768284
  70. volume_ema1 : 15859.506472218
  71. volume_ema2 : 68443.965886938
  72. chop : 34.1396
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113462
  77. 5m_price_ema100_diff: 
    0.00760489
  78. 5m_price: 
    114325
  79. 5m_correlation_with_coin: 
    0.476568
  80. btc_indicators
  81. 15m_ema100: 
    113638
  82. 15m_price_ema100_diff: 
    0.00604254
  83. 15m_price: 
    114325
  84. 15m_correlation_with_coin: 
    -0.029503
  85. btc_indicators
  86. 1H_ema100: 
    111886
  87. 1H_price_ema100_diff: 
    0.0217988
  88. 1H_price: 
    114325
  89. 1H_correlation_with_coin: 
    -0.010937
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:30:27		 30 Sep 2025
16:50:00		 19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5879 0.5909 0.5819 2 0.089
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 0.5879
  • Stop Loss: 0.5909
  • Take Profit: 0.5819

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5909 - 0.5879 = 0.003

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5879 - 0.5819 = 0.006

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.006 / 0.003 = 2

📌 Position Size

Amount Margin Quantity Leverage
1576.0903 100 2680.8816 15.76
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 0.003

Taille de position = 8 / 0.003 = 2666.67

Taille de position USD = 2666.67 x 0.5879 = 1567.74

Donc, tu peux acheter 2666.67 avec un stoploss a 0.5909

Avec un position size USD de 1567.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2666.67 x 0.003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2666.67 x 0.006 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2666.67
  • Taille de position USD 1567.74
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.02 % 16.09 $
SL % Target SL $ Target
0.51 % 8.04 $
PNL PNL %
-8.04 $ -0.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7144 % 140 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5819
            [entry_price] => 0.5879
            [stop_loss] => 0.5912
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5819
            [entry_price] => 0.5879
            [stop_loss] => 0.5915
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5819
            [entry_price] => 0.5879
            [stop_loss] => 0.5918
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5819
            [entry_price] => 0.5879
            [stop_loss] => 0.5924
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 17:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.003
            [max_drawdown] => 0.0057
            [rr_ratio] => 0.53
            [high] => 0.59360000
            [low] => 0.58490000
            [mfe_pct] => 0.51
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 0.53
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:30:27-04:00
            [end_at] => 2025-09-30T18:30:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0086999999999999
            [max_drawdown] => 0.0057
            [rr_ratio] => 1.53
            [high] => 0.59360000
            [low] => 0.57920000
            [mfe_pct] => 1.48
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 1.53
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:30:27-04:00
            [end_at] => 2025-09-30T23:30:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.58900000
            [high_after] => 0.59360000
            [low_before] => 0.56840000
            [low_after] => 0.57920000
            [is_new_high] => 
            [is_new_low] => 
        )

)