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Short Trade on DYDX

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Short Trade on DYDX 30 Sep 2025 at 16:10:10

Take profit at 0.5804 (1.09 %) and Stop Loss at 0.59 (0.55 %)

Short Trade on DYDX

The 30 Sep 2025 at 16:10:10

With 2487.4065 DYDX at 0.5868$ per unit.

Position size of 1459.6101 $

Take profit at 0.5804 (1.09 %) and Stop Loss at 0.59 (0.55 %)

That's a 2 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
0.53
Prediction 2 Probability
0 0.37
Prediction 3 Probability
0 0.69
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium_confirmed

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.485535

15m : -0.011111

1H : -0.027198

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.002144134172
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 0.58311
  4. ema21 : 0.588011
  5. ema50 : 0.593951
  6. ema100 : 0.595075
  7. price_ema9_diff : 0.00632678
  8. ema9_ema21_diff : -0.00833439
  9. ema21_ema50_diff : -0.0100004
  10. price_ema100_diff : -0.013906
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.179986
  14. ema_slope_21 : -0.151157
  15. ema_slope_50 : -0.0892364
  16. ema_slope_100 : -0.0427603
  17. rsi : 0.466733
  18. adx : 0.344647
  19. kc_percentage : 0.471689
  20. kc_width_percentage : 0.0511674
  21. volume_ema_diff : 0.372758
  22. volume_ema1 : 733584.04937213
  23. volume_ema2 : 534386.67218919
  24. chop : 42.8181
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.579789
  28. ema21 : 0.579298
  29. ema50 : 0.583712
  30. ema100 : 0.589176
  31. price_ema9_diff : 0.0120921
  32. ema9_ema21_diff : 0.000846704
  33. ema21_ema50_diff : -0.00756172
  34. price_ema100_diff : -0.00403369
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0169755
  38. ema_slope_21 : -0.0450418
  39. ema_slope_50 : -0.0592534
  40. ema_slope_100 : -0.0479214
  41. rsi : 0.625047
  42. adx : 0.289189
  43. kc_percentage : 0.966314
  44. kc_width_percentage : 0.0278027
  45. volume_ema_diff : -0.648847
  46. volume_ema1 : 86667.652000752
  47. volume_ema2 : 246809.47315652
  48. chop : 41.906
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.584056
  52. ema21 : 0.58049
  53. ema50 : 0.578928
  54. ema100 : 0.580947
  55. price_ema9_diff : 0.00469661
  56. ema9_ema21_diff : 0.00614386
  57. ema21_ema50_diff : 0.00269883
  58. price_ema100_diff : 0.0100747
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.138699
  62. ema_slope_21 : 0.0894304
  63. ema_slope_50 : 0.0329306
  64. ema_slope_100 : 0.005427
  65. rsi : 0.733359
  66. adx : 0.350334
  67. kc_percentage : 1.22261
  68. kc_width_percentage : 0.0144257
  69. volume_ema_diff : -0.702423
  70. volume_ema1 : 22702.620868708
  71. volume_ema2 : 76291.639001635
  72. chop : 26.2645
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113394
  77. 5m_price_ema100_diff: 
    0.00649124
  78. 5m_price: 
    114130
  79. 5m_correlation_with_coin: 
    0.485535
  80. btc_indicators
  81. 15m_ema100: 
    113574
  82. 15m_price_ema100_diff: 
    0.00489475
  83. 15m_price: 
    114130
  84. 15m_correlation_with_coin: 
    -0.011111
  85. btc_indicators
  86. 1H_ema100: 
    111882
  87. 1H_price_ema100_diff: 
    0.0200937
  88. 1H_price: 
    114130
  89. 1H_correlation_with_coin: 
    -0.027198
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:10:10		 30 Sep 2025
16:50:00		 39 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5868 0.59 0.5804 2 0.0925
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 0.5868
  • Stop Loss: 0.59
  • Take Profit: 0.5804

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.59 - 0.5868 = 0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5868 - 0.5804 = 0.0064

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0064 / 0.0032 = 2

📌 Position Size

Amount Margin Quantity Leverage
1459.6101 100 2487.4065 14.60
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 0.0032

Taille de position = 8 / 0.0032 = 2500

Taille de position USD = 2500 x 0.5868 = 1467

Donc, tu peux acheter 2500 avec un stoploss a 0.59

Avec un position size USD de 1467$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2500 x 0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2500 x 0.0064 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2500
  • Taille de position USD 1467
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.09 % 15.92 $
SL % Target SL $ Target
0.55 % 7.96 $
PNL PNL %
-7.96 $ -0.55
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9032 % 165.63 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5804
            [entry_price] => 0.5868
            [stop_loss] => 0.59032
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5804
            [entry_price] => 0.5868
            [stop_loss] => 0.59064
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5804
            [entry_price] => 0.5868
            [stop_loss] => 0.59096
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5804
            [entry_price] => 0.5868
            [stop_loss] => 0.5916
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001
            [max_drawdown] => 0.0068
            [rr_ratio] => 0.15
            [high] => 0.59360000
            [low] => 0.58580000
            [mfe_pct] => 0.17
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:10:10-04:00
            [end_at] => 2025-09-30T18:10:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0075999999999999
            [max_drawdown] => 0.0068
            [rr_ratio] => 1.12
            [high] => 0.59360000
            [low] => 0.57920000
            [mfe_pct] => 1.3
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 1.12
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:10:10-04:00
            [end_at] => 2025-09-30T23:10:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.58800000
            [high_after] => 0.59360000
            [low_before] => 0.56840000
            [low_after] => 0.57920000
            [is_new_high] => 
            [is_new_low] => 
        )

)