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Short Trade on DYDX

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Short Trade on DYDX 30 Sep 2025 at 15:57:37

Take profit at 0.5784 (1.15 %) and Stop Loss at 0.5885 (0.58 %)

Short Trade on DYDX

The 30 Sep 2025 at 15:57:37

With 2382.4304 DYDX at 0.5851$ per unit.

Position size of 1393.96 $

Take profit at 0.5784 (1.15 %) and Stop Loss at 0.5885 (0.58 %)

That's a 1.97 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.41
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
1 0.68
Prediction 3 Probability
0 0.81
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 : 0.510552

15m : 0.143249

1H : 0.024721

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.002238610324
Details
  1. score: 1.23
  2. 1H
  3. ema9 : 0.582048
  4. ema21 : 0.588068
  5. ema50 : 0.594133
  6. ema100 : 0.594634
  7. price_ema9_diff : 0.00524272
  8. ema9_ema21_diff : -0.0102372
  9. ema21_ema50_diff : -0.0102083
  10. price_ema100_diff : -0.0160346
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.209775
  14. ema_slope_21 : -0.160275
  15. ema_slope_50 : -0.0898058
  16. ema_slope_100 : -0.0402646
  17. rsi : 0.44872
  18. adx : 0.352689
  19. kc_percentage : 0.419697
  20. kc_width_percentage : 0.0547544
  21. volume_ema_diff : 0.924965
  22. volume_ema1 : 1057399.8712468
  23. volume_ema2 : 549308.37070334
  24. chop : 41.7382
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.577696
  28. ema21 : 0.578393
  29. ema50 : 0.583498
  30. ema100 : 0.589039
  31. price_ema9_diff : 0.0128158
  32. ema9_ema21_diff : -0.00120585
  33. ema21_ema50_diff : -0.00874895
  34. price_ema100_diff : -0.00668723
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0286313
  38. ema_slope_21 : -0.0695416
  39. ema_slope_50 : -0.0696043
  40. ema_slope_100 : -0.0523192
  41. rsi : 0.588202
  42. adx : 0.284752
  43. kc_percentage : 0.930405
  44. kc_width_percentage : 0.0272823
  45. volume_ema_diff : -0.722999
  46. volume_ema1 : 69563.111884009
  47. volume_ema2 : 251129.62232412
  48. chop : 50.6556
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.581383
  52. ema21 : 0.578375
  53. ema50 : 0.577926
  54. ema100 : 0.580678
  55. price_ema9_diff : 0.00639225
  56. ema9_ema21_diff : 0.00520116
  57. ema21_ema50_diff : 0.0007764
  58. price_ema100_diff : 0.00761407
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.106373
  62. ema_slope_21 : 0.0622717
  63. ema_slope_50 : 0.0152724
  64. ema_slope_100 : -0.00507496
  65. rsi : 0.705063
  66. adx : 0.278268
  67. kc_percentage : 1.22933
  68. kc_width_percentage : 0.0154356
  69. volume_ema_diff : -0.695969
  70. volume_ema1 : 25063.374890408
  71. volume_ema2 : 82437.115457332
  72. chop : 30.2183
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113339
  77. 5m_price_ema100_diff: 
    0.00854254
  78. 5m_price: 
    114308
  79. 5m_correlation_with_coin: 
    0.510552
  80. btc_indicators
  81. 15m_ema100: 
    113565
  82. 15m_price_ema100_diff: 
    0.00617294
  83. 15m_price: 
    114266
  84. 15m_correlation_with_coin: 
    0.143249
  85. btc_indicators
  86. 1H_ema100: 
    111774
  87. 1H_price_ema100_diff: 
    0.0226621
  88. 1H_price: 
    114308
  89. 1H_correlation_with_coin: 
    0.024721
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-26 12:00:00
                    [1] => 0.5713
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-26 14:00:00
                    [1] => 0.5893
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-27 16:00:00
                    [1] => 0.6296
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-28 06:00:00
                    [1] => 0.5897
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-28 18:00:00
                    [1] => 0.6138
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 05:00:00
                    [1] => 0.6119
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-29 09:00:00
                    [1] => 0.5854
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-29 16:00:00
                    [1] => 0.6156
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-29 21:00:00
                    [1] => 0.592
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.5684
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -4.8408057179987
            [ms_dist_from_last_low_pct] => 3.0612244897959
            [ms_bars_since_swing_high] => 23
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 4.1520056298381
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-30 01:15:00
                    [1] => 0.593
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-30 02:45:00
                    [1] => 0.6001
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-30 05:30:00
                    [1] => 0.5962
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 07:15:00
                    [1] => 0.5861
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 07:45:00
                    [1] => 0.5932
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 09:00:00
                    [1] => 0.5843
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.5926
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 11:30:00
                    [1] => 0.5719
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.5684
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:45:00
                    [1] => 0.5864
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.10231923601638
            [ms_dist_from_last_low_pct] => 3.0612244897959
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 3.1667839549613
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-30 08:30:00
                    [1] => 0.5924
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-30 09:05:00
                    [1] => 0.5843
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.5926
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 10:15:00
                    [1] => 0.5896
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-30 11:40:00
                    [1] => 0.5719
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-30 12:25:00
                    [1] => 0.5824
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-30 13:35:00
                    [1] => 0.5787
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.5684
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 15:15:00
                    [1] => 0.5731
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:55:00
                    [1] => 0.5864
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.10231923601638
            [ms_dist_from_last_low_pct] => 2.2160181469202
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 2.3207119176409
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.10%
Dist From Last Low Pct
2.22%
Bars Since Swing High
0 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
2.32%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0
DateTime Price Type
2025-09-30 08:30:00 0.5924 ↑ High
2025-09-30 09:05:00 0.5843 ↓ Low
2025-09-30 09:45:00 0.5926 ↑ High
2025-09-30 10:15:00 0.5896 ↑ High
2025-09-30 11:40:00 0.5719 ↓ Low
2025-09-30 12:25:00 0.5824 ↑ High
2025-09-30 13:35:00 0.5787 ↑ High
2025-09-30 14:00:00 0.5684 ↓ Low
2025-09-30 15:15:00 0.5731 ↓ Low
2025-09-30 15:55:00 0.5864 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.10%
Dist From Last Low Pct
3.06%
Bars Since Swing High
0 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
3.17%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-30 01:15:00 0.593 ↓ Low
2025-09-30 02:45:00 0.6001 ↑ High
2025-09-30 05:30:00 0.5962 ↑ High
2025-09-30 07:15:00 0.5861 ↓ Low
2025-09-30 07:45:00 0.5932 ↑ High
2025-09-30 09:00:00 0.5843 ↓ Low
2025-09-30 09:45:00 0.5926 ↑ High
2025-09-30 11:30:00 0.5719 ↓ Low
2025-09-30 14:00:00 0.5684 ↓ Low
2025-09-30 15:45:00 0.5864 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-4.84%
Dist From Last Low Pct
3.06%
Bars Since Swing High
23 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
4.15%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-26 12:00:00 0.5713 ↓ Low
2025-09-26 14:00:00 0.5893 ↑ High
2025-09-27 16:00:00 0.6296 ↑ High
2025-09-28 06:00:00 0.5897 ↓ Low
2025-09-28 18:00:00 0.6138 ↑ High
2025-09-29 05:00:00 0.6119 ↑ High
2025-09-29 09:00:00 0.5854 ↓ Low
2025-09-29 16:00:00 0.6156 ↑ High
2025-09-29 21:00:00 0.592 ↓ Low
2025-09-30 14:00:00 0.5684 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:57:37		 30 Sep 2025
16:20:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5851 0.5885 0.5784 1.97 0.0923
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 0.5851
  • Stop Loss: 0.5885
  • Take Profit: 0.5784

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5885 - 0.5851 = 0.0034000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5851 - 0.5784 = 0.0066999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0066999999999999 / 0.0034000000000001 = 1.9706

📌 Position Size

Amount Margin Quantity Leverage
1393.96 100 2382.4304 13.94
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 0.0034000000000001

Taille de position = 8 / 0.0034000000000001 = 2352.94

Taille de position USD = 2352.94 x 0.5851 = 1376.71

Donc, tu peux acheter 2352.94 avec un stoploss a 0.5885

Avec un position size USD de 1376.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2352.94 x 0.0034000000000001 = 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 0.0066999999999999 = 15.76

Si Take Profit atteint, tu gagneras 15.76$

Résumé

  • Taille de position 2352.94
  • Taille de position USD 1376.71
  • Perte potentielle 8
  • Gain potentiel 15.76
  • Risk-Reward Ratio 1.9706

📌 Peformances

TP % Target TP $ Target
1.15 % 15.96 $
SL % Target SL $ Target
0.58 % 8.1 $
PNL PNL %
-8.1 $ -0.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5811 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5784
            [entry_price] => 0.5851
            [stop_loss] => 0.58884
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5784
            [entry_price] => 0.5851
            [stop_loss] => 0.58918
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5784
            [entry_price] => 0.5851
            [stop_loss] => 0.58952
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5784
            [entry_price] => 0.5851
            [stop_loss] => 0.5902
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0001000000000001
            [max_drawdown] => 0.0085000000000001
            [rr_ratio] => -0.01
            [high] => 0.59360000
            [low] => 0.58520000
            [mfe_pct] => -0.02
            [mae_pct] => 1.45
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:57:37-04:00
            [end_at] => 2025-09-30T17:57:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0058999999999999
            [max_drawdown] => 0.0085000000000001
            [rr_ratio] => 0.69
            [high] => 0.59360000
            [low] => 0.57920000
            [mfe_pct] => 1.01
            [mae_pct] => 1.45
            [mfe_mae_ratio] => 0.69
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:57:37-04:00
            [end_at] => 2025-09-30T22:57:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.58640000
            [high_after] => 0.59360000
            [low_before] => 0.56840000
            [low_after] => 0.57920000
            [is_new_high] => 
            [is_new_low] => 
        )

)