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Short Trade on DYDX

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Short Trade on DYDX 30 Sep 2025 at 15:44:23

Take profit at 0.5751 (1.12 %) and Stop Loss at 0.5848 (0.55 %)

Short Trade on DYDX

The 30 Sep 2025 at 15:44:23

With 2474.4181 DYDX at 0.5816$ per unit.

Position size of 1439.1216 $

Take profit at 0.5751 (1.12 %) and Stop Loss at 0.5848 (0.55 %)

That's a 2.03 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.17
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
1 0.45
Prediction 3 Probability
1 0.51
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.494038

15m : -0.100605

1H : -0.099917

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.002155388936
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 0.581348
  4. ema21 : 0.58775
  5. ema50 : 0.593996
  6. ema100 : 0.594565
  7. price_ema9_diff : 0.000432644
  8. ema9_ema21_diff : -0.0108923
  9. ema21_ema50_diff : -0.0105152
  10. price_ema100_diff : -0.0218066
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.219545
  14. ema_slope_21 : -0.164697
  15. ema_slope_50 : -0.0917102
  16. ema_slope_100 : -0.0412312
  17. rsi : 0.409358
  18. adx : 0.360073
  19. kc_percentage : 0.31291
  20. kc_width_percentage : 0.0527455
  21. volume_ema_diff : 0.886345
  22. volume_ema1 : 1030134.480721
  23. volume_ema2 : 546100.6777003
  24. chop : 41.6416
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.575715
  28. ema21 : 0.57765
  29. ema50 : 0.583354
  30. ema100 : 0.588769
  31. price_ema9_diff : 0.0102212
  32. ema9_ema21_diff : -0.00334948
  33. ema21_ema50_diff : -0.00977753
  34. price_ema100_diff : -0.0121776
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0659788
  38. ema_slope_21 : -0.088724
  39. ema_slope_50 : -0.0770398
  40. ema_slope_100 : -0.0546111
  41. rsi : 0.504701
  42. adx : 0.288636
  43. kc_percentage : 0.776599
  44. kc_width_percentage : 0.0259186
  45. volume_ema_diff : -0.720489
  46. volume_ema1 : 72105.286789363
  47. volume_ema2 : 257969.41254461
  48. chop : 55.2919
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.578035
  52. ema21 : 0.576239
  53. ema50 : 0.576987
  54. ema100 : 0.579973
  55. price_ema9_diff : 0.006167
  56. ema9_ema21_diff : 0.00311587
  57. ema21_ema50_diff : -0.00129615
  58. price_ema100_diff : 0.00280359
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0700468
  62. ema_slope_21 : 0.0355607
  63. ema_slope_50 : -0.000274747
  64. ema_slope_100 : -0.0123172
  65. rsi : 0.667268
  66. adx : 0.201716
  67. kc_percentage : 1.11763
  68. kc_width_percentage : 0.0147518
  69. volume_ema_diff : -0.723973
  70. volume_ema1 : 24606.607440424
  71. volume_ema2 : 89145.803274072
  72. chop : 40.8612
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113266
  77. 5m_price_ema100_diff: 
    0.00817508
  78. 5m_price: 
    114192
  79. 5m_correlation_with_coin: 
    0.494038
  80. btc_indicators
  81. 15m_ema100: 
    113550
  82. 15m_price_ema100_diff: 
    0.00468781
  83. 15m_price: 
    114082
  84. 15m_correlation_with_coin: 
    -0.100605
  85. btc_indicators
  86. 1H_ema100: 
    111772
  87. 1H_price_ema100_diff: 
    0.021647
  88. 1H_price: 
    114192
  89. 1H_correlation_with_coin: 
    -0.099917
    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] => -5.6042884990254
            [ms_dist_from_last_low_pct] => 2.2343420126671
            [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 15:30:00
                    [1] => 0.5828
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.2916952642416
            [ms_dist_from_last_low_pct] => 2.2343420126671
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 2.533427163969
            [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 15:35:00
                    [1] => 0.5828
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.2916952642416
            [ms_dist_from_last_low_pct] => 1.3959169429419
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 1.692549293317
            [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
-0.29%
Dist From Last Low Pct
1.40%
Bars Since Swing High
1 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
1.69%
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 15:35:00 0.5828 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.29%
Dist From Last Low Pct
2.23%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
2.53%
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 15:30:00 0.5828 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-5.60%
Dist From Last Low Pct
2.23%
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
15:44:23		 30 Sep 2025
15:50:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5816 0.5848 0.5751 2.03 0.093
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 0.5816
  • Stop Loss: 0.5848
  • Take Profit: 0.5751

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5848 - 0.5816 = 0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5816 - 0.5751 = 0.0065000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0065000000000001 / 0.0032 = 2.0313

📌 Position Size

Amount Margin Quantity Leverage
1439.1216 100 2474.4181 14.39
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 0.5816 = 1454

Donc, tu peux acheter 2500 avec un stoploss a 0.5848

Avec un position size USD de 1454$

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 0.0065000000000001 = 16.25

Si Take Profit atteint, tu gagneras 16.25$

Résumé

  • Taille de position 2500
  • Taille de position USD 1454
  • Perte potentielle 8
  • Gain potentiel 16.25
  • Risk-Reward Ratio 2.0313

📌 Peformances

TP % Target TP $ Target
1.12 % 16.08 $
SL % Target SL $ Target
0.55 % 7.92 $
PNL PNL %
-7.92 $ -0.55
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7909 % 143.75 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5751
            [entry_price] => 0.5816
            [stop_loss] => 0.58512
            [rr_ratio] => 1.85
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5751
            [entry_price] => 0.5816
            [stop_loss] => 0.58544
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5751
            [entry_price] => 0.5816
            [stop_loss] => 0.58576
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5751
            [entry_price] => 0.5816
            [stop_loss] => 0.5864
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00070000000000003
            [max_drawdown] => 0.012
            [rr_ratio] => 0.06
            [high] => 0.59360000
            [low] => 0.58090000
            [mfe_pct] => 0.12
            [mae_pct] => 2.06
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:44:23-04:00
            [end_at] => 2025-09-30T17:44:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0024
            [max_drawdown] => 0.012
            [rr_ratio] => 0.2
            [high] => 0.59360000
            [low] => 0.57920000
            [mfe_pct] => 0.41
            [mae_pct] => 2.06
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:44:23-04:00
            [end_at] => 2025-09-30T22:44:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.58280000
            [high_after] => 0.59360000
            [low_before] => 0.56840000
            [low_after] => 0.57920000
            [is_new_high] => 
            [is_new_low] => 
        )

)