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Short Trade on DYDX

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Short Trade on DYDX 31 Oct 2025 at 08:04:47

Take profit at 0.3014 (1.25 %) and Stop Loss at 0.3071 (0.62 %)

Short Trade on DYDX

The 31 Oct 2025 at 08:04:47

With 4186.6788 DYDX at 0.3052$ per unit.

Position size of 1277.7744 $

Take profit at 0.3014 (1.25 %) and Stop Loss at 0.3071 (0.62 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.69
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.8
Prediction 2 Probability
2 0.64
Prediction 3 Probability
1 0.78
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : bull_low_confirmed

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.618337

15m : -0.110227

1H : 0.089928

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.001273881645
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.304179
  4. ema21 : 0.308025
  5. ema50 : 0.3177
  6. ema100 : 0.326149
  7. price_ema9_diff : 0.00335387
  8. ema9_ema21_diff : -0.0124842
  9. ema21_ema50_diff : -0.0304532
  10. price_ema100_diff : -0.0642326
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0212844
  14. ema_slope_21 : -0.186399
  15. ema_slope_50 : -0.1987
  16. ema_slope_100 : -0.142344
  17. rsi : 0.428712
  18. adx : 0.112262
  19. kc_percentage : 0.380631
  20. kc_width_percentage : 0.0664638
  21. volume_ema_diff : -0.622291
  22. volume_ema1 : 95375.84073392
  23. volume_ema2 : 252511.82291469
  24. chop : 71.3162
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.302751
  28. ema21 : 0.302904
  29. ema50 : 0.304773
  30. ema100 : 0.310838
  31. price_ema9_diff : 0.00808746
  32. ema9_ema21_diff : -0.000505315
  33. ema21_ema50_diff : -0.00613071
  34. price_ema100_diff : -0.0181393
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0108659
  38. ema_slope_21 : -0.0446635
  39. ema_slope_50 : -0.0482219
  40. ema_slope_100 : -0.0651555
  41. rsi : 0.559946
  42. adx : 0.249422
  43. kc_percentage : 0.783638
  44. kc_width_percentage : 0.0270785
  45. volume_ema_diff : -0.179477
  46. volume_ema1 : 36993.36202931
  47. volume_ema2 : 45085.12831222
  48. chop : 59.1208
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.303162
  52. ema21 : 0.302239
  53. ema50 : 0.302423
  54. ema100 : 0.303801
  55. price_ema9_diff : 0.00672047
  56. ema9_ema21_diff : 0.00305499
  57. ema21_ema50_diff : -0.000607743
  58. price_ema100_diff : 0.00460285
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0610476
  62. ema_slope_21 : 0.0278757
  63. ema_slope_50 : 0.00026137
  64. ema_slope_100 : -0.0108395
  65. rsi : 0.679932
  66. adx : 0.239046
  67. kc_percentage : 1.04508
  68. kc_width_percentage : 0.0175924
  69. volume_ema_diff : 1.09512
  70. volume_ema1 : 23641.144845309
  71. volume_ema2 : 11283.868790087
  72. chop : 35.9984
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109679
  77. 5m_price_ema100_diff: 
    0.00811139
  78. 5m_price: 
    110569
  79. 5m_correlation_with_coin: 
    0.618337
  80. btc_indicators
  81. 15m_ema100: 
    109190
  82. 15m_price_ema100_diff: 
    0.0126235
  83. 15m_price: 
    110569
  84. 15m_correlation_with_coin: 
    -0.110227
  85. btc_indicators
  86. 1H_ema100: 
    111372
  87. 1H_price_ema100_diff: 
    -0.00721628
  88. 1H_price: 
    110569
  89. 1H_correlation_with_coin: 
    0.089928
    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] => 2025-10-28 23:00:00
                    [1] => 0.323
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-29 03:00:00
                    [1] => 0.3419
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 0.3243
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-29 16:00:00
                    [1] => 0.347
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 00:00:00
                    [1] => 0.3287
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 06:00:00
                    [1] => 0.3579
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-30 14:00:00
                    [1] => 0.2933
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-31 00:00:00
                    [1] => 0.3136
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-31 05:00:00
                    [1] => 0.2997
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 08:00:00
                    [1] => 0.3058
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.29431000654023
            [ms_dist_from_last_low_pct] => 1.7350684017351
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 2.0353687020354
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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] => 2025-10-30 07:15:00
                    [1] => 0.3507
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-30 13:00:00
                    [1] => 0.3258
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-30 14:30:00
                    [1] => 0.2933
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-30 16:15:00
                    [1] => 0.3001
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 21:15:00
                    [1] => 0.31
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-31 00:30:00
                    [1] => 0.3136
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 04:45:00
                    [1] => 0.3045
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-31 05:45:00
                    [1] => 0.2997
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-31 07:45:00
                    [1] => 0.3058
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.29431000654023
            [ms_dist_from_last_low_pct] => 1.7350684017351
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 2.0353687020354
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [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] => 2025-10-31 00:40:00
                    [1] => 0.3136
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-31 03:10:00
                    [1] => 0.3045
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 03:20:00
                    [1] => 0.3023
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-31 04:15:00
                    [1] => 0.3004
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-31 04:55:00
                    [1] => 0.3045
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-31 05:55:00
                    [1] => 0.2997
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-31 06:30:00
                    [1] => 0.3
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-31 06:40:00
                    [1] => 0.3027
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-31 07:00:00
                    [1] => 0.2998
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 07:55:00
                    [1] => 0.3058
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.29431000654023
            [ms_dist_from_last_low_pct] => 1.7011340893929
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 2.0013342228152
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.29%
Dist From Last Low Pct
1.70%
Bars Since Swing High
1 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
2.00%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0065
2.12%
TP to Pivot Distance
0.0017
0.56%
DateTime Price Type
2025-10-31 00:40:00 0.3136 ↑ High
2025-10-31 03:10:00 0.3045 ↑ High
2025-10-31 03:20:00 0.3023 ↓ Low
2025-10-31 04:15:00 0.3004 ↓ Low
2025-10-31 04:55:00 0.3045 ↑ High
2025-10-31 05:55:00 0.2997 ↓ Low
2025-10-31 06:30:00 0.3 ↓ Low
2025-10-31 06:40:00 0.3027 ↑ High
2025-10-31 07:00:00 0.2998 ↓ Low
2025-10-31 07:55:00 0.3058 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.29%
Dist From Last Low Pct
1.74%
Bars Since Swing High
1 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
2.04%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0436
14.20%
TP to Pivot Distance
0.0081
2.69%
DateTime Price Type
2025-10-30 07:15:00 0.3507 ↑ High
2025-10-30 13:00:00 0.3258 ↑ High
2025-10-30 14:30:00 0.2933 ↓ Low
2025-10-30 16:15:00 0.3001 ↑ High
2025-10-30 21:15:00 0.31 ↑ High
2025-10-31 00:30:00 0.3136 ↑ High
2025-10-31 04:45:00 0.3045 ↑ High
2025-10-31 05:45:00 0.2997 ↓ Low
2025-10-31 07:45:00 0.3058 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.29%
Dist From Last Low Pct
1.74%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
2.04%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0508
16.54%
TP to Pivot Distance
0.0081
2.69%
DateTime Price Type
2025-10-28 23:00:00 0.323 ↓ Low
2025-10-29 03:00:00 0.3419 ↑ High
2025-10-29 14:00:00 0.3243 ↓ Low
2025-10-29 16:00:00 0.347 ↑ High
2025-10-30 00:00:00 0.3287 ↓ Low
2025-10-30 06:00:00 0.3579 ↑ High
2025-10-30 14:00:00 0.2933 ↓ Low
2025-10-31 00:00:00 0.3136 ↑ High
2025-10-31 05:00:00 0.2997 ↓ Low
2025-10-31 08:00:00 0.3058 ↑ High

📌 Time Data

Start at Closed at Duration
31 Oct 2025
08:04:47		 31 Oct 2025
08:30:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3052 0.3071 0.3014 2 0.087
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 0.3052
  • Stop Loss: 0.3071
  • Take Profit: 0.3014

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3071 - 0.3052 = 0.0019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3052 - 0.3014 = 0.0038

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0038 / 0.0019 = 2

📌 Position Size

Amount Margin Quantity Leverage
1277.7744 100 4186.6788 12.78
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 0.0019

Taille de position = 8 / 0.0019 = 4210.53

Taille de position USD = 4210.53 x 0.3052 = 1285.05

Donc, tu peux acheter 4210.53 avec un stoploss a 0.3071

Avec un position size USD de 1285.05$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4210.53 x 0.0019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4210.53 x 0.0038 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4210.53
  • Taille de position USD 1285.05
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.25 % 15.91 $
SL % Target SL $ Target
0.62 % 7.95 $
PNL PNL %
-7.95 $ -0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6225 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3014
            [entry_price] => 0.3052
            [stop_loss] => 0.30729
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-31 09:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3014
            [entry_price] => 0.3052
            [stop_loss] => 0.30748
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-31 09:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3014
            [entry_price] => 0.3052
            [stop_loss] => 0.30767
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-31 09:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3014
            [entry_price] => 0.3052
            [stop_loss] => 0.30805
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-31 09:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.0044
            [rr_ratio] => 0.3
            [high] => 0.30960000
            [low] => 0.30390000
            [mfe_pct] => 0.43
            [mae_pct] => 1.44
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-10-31T08:04:47-04:00
            [end_at] => 2025-10-31T10:04:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0142
            [max_drawdown] => 0.0059
            [rr_ratio] => 2.41
            [high] => 0.31110000
            [low] => 0.29100000
            [mfe_pct] => 4.65
            [mae_pct] => 1.93
            [mfe_mae_ratio] => 2.41
            [candles_analyzed] => 84
            [start_at] => 2025-10-31T08:04:47-04:00
            [end_at] => 2025-10-31T15:04:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.30580000
            [high_after] => 0.31110000
            [low_before] => 0.29970000
            [low_after] => 0.29110000
            [is_new_high] => 
            [is_new_low] => 1
        )

)