Short Trade on DYDX 30 Sep 2025 at 16:17:49

Take profit at 0.581 (1.14 %) and Stop Loss at 0.5911 (0.58 %)

Short Trade on DYDX

The 30 Sep 2025 at 16:17:49

With 2374.4011 DYDX at 0.5877$ per unit.

Position size of 1395.4355 $

Take profit at 0.581 (1.14 %) and Stop Loss at 0.5911 (0.58 %)

That's a 1.97 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.02
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.61
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 : 0.487428

15m : 0.004618

1H : -0.233773

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.002246180418
Details
  1. score: 1.21
  2. 1H
  3. ema9 : 0.58329
  4. ema21 : 0.588093
  5. ema50 : 0.593986
  6. ema100 : 0.595092
  7. price_ema9_diff : 0.0075592
  8. ema9_ema21_diff : -0.00816628
  9. ema21_ema50_diff : -0.00992151
  10. price_ema100_diff : -0.0124231
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.177469
  14. ema_slope_21 : -0.150019
  15. ema_slope_50 : -0.0887465
  16. ema_slope_100 : -0.042512
  17. rsi : 0.476085
  18. adx : 0.344647
  19. kc_percentage : 0.498809
  20. kc_width_percentage : 0.051089
  21. volume_ema_diff : 0.397814
  22. volume_ema1 : 749608.94168877
  23. volume_ema2 : 536271.95363821
  24. chop : 42.8181
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.581259
  29. ema21 : 0.580004
  30. ema50 : 0.583869
  31. ema100 : 0.589336
  32. price_ema9_diff : 0.0110806
  33. ema9_ema21_diff : 0.00216318
  34. ema21_ema50_diff : -0.00662015
  35. price_ema100_diff : -0.00277722
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0503508
  39. ema_slope_21 : -0.0245099
  40. ema_slope_50 : -0.0501916
  41. ema_slope_100 : -0.0442419
  42. rsi : 0.637892
  43. adx : 0.287878
  44. kc_percentage : 1.00234
  45. kc_width_percentage : 0.0262772
  46. volume_ema_diff : -0.708618
  47. volume_ema1 : 69643.395594919
  48. volume_ema2 : 239011.12735125
  49. chop : 41.4341
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.584673
  54. ema21 : 0.581087
  55. ema50 : 0.579231
  56. ema100 : 0.580958
  57. price_ema9_diff : 0.00517634
  58. ema9_ema21_diff : 0.00617043
  59. ema21_ema50_diff : 0.0032059
  60. price_ema100_diff : 0.0116033
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.149696
  64. ema_slope_21 : 0.098806
  65. ema_slope_50 : 0.0392751
  66. ema_slope_100 : 0.00950131
  67. rsi : 0.730541
  68. adx : 0.367636
  69. kc_percentage : 1.21002
  70. kc_width_percentage : 0.015359
  71. volume_ema_diff : -0.642101
  72. volume_ema1 : 27000.04150689
  73. volume_ema2 : 75440.566023247
  74. chop : 26.7522
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113400
  80. 5m_price_ema100_diff:
    0.00666922
  81. 5m_price:
    114156
  82. 5m_correlation_with_coin:
    0.487428
  83. btc_indicators
  84. 15m_ema100:
    113606
  85. 15m_price_ema100_diff:
    0.00484561
  86. 15m_price:
    114156
  87. 15m_correlation_with_coin:
    0.004618
  88. btc_indicators
  89. 1H_ema100:
    111882
  90. 1H_price_ema100_diff:
    0.0203232
  91. 1H_price:
    114156
  92. 1H_correlation_with_coin:
    -0.233773
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:17:49
30 Sep 2025
16:50:00
32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5877 0.5911 0.581 1.97 0.096
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 0.5877
  • Stop Loss: 0.5911
  • Take Profit: 0.581

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5911 - 0.5877 = 0.0034

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5877 - 0.581 = 0.0067

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0067 / 0.0034 = 1.9706

📌 Position Size

Amount Margin Quantity Leverage
1395.4355 100 2374.4011 13.95
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 0.0034

Taille de position = 8 / 0.0034 = 2352.94

Taille de position USD = 2352.94 x 0.5877 = 1382.82

Donc, tu peux acheter 2352.94 avec un stoploss a 0.5911

Avec un position size USD de 1382.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2352.94 x 0.0034 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2352.94 x 0.0067 = 15.76

Si Take Profit atteint, tu gagneras 15.76$

Résumé

  • Taille de position 2352.94
  • Taille de position USD 1382.82
  • Perte potentielle 8
  • Gain potentiel 15.76
  • Risk-Reward Ratio 1.9706

📌 Peformances

TP % Target TP $ Target
1.14 % 15.91 $
SL % Target SL $ Target
0.58 % 8.07 $
PNL PNL %
-8.07 $ -0.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7487 % 129.42 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.581
            [entry_price] => 0.5877
            [stop_loss] => 0.59144
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.581
            [entry_price] => 0.5877
            [stop_loss] => 0.59178
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.581
            [entry_price] => 0.5877
            [stop_loss] => 0.59212
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 16:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.581
            [entry_price] => 0.5877
            [stop_loss] => 0.5928
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 17:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0011
            [max_drawdown] => 0.0059
            [rr_ratio] => 0.19
            [high] => 0.59360000
            [low] => 0.58660000
            [mfe_pct] => 0.19
            [mae_pct] => 1
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:17:49-04:00
            [end_at] => 2025-09-30T18:17:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0085
            [max_drawdown] => 0.0059
            [rr_ratio] => 1.44
            [high] => 0.59360000
            [low] => 0.57920000
            [mfe_pct] => 1.45
            [mae_pct] => 1
            [mfe_mae_ratio] => 1.44
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:17:49-04:00
            [end_at] => 2025-09-30T23:17:49-04:00
        )

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

)