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Short Trade on DEGEN

Short Trade on DEGEN

The 22 Sep 2025 at 16:36:15

With 529036.2297 DEGEN at 0.003094$ per unit.

Position size of 1636.8381 $

Take profit at 0.003064 (0.97 %) and Stop Loss at 0.003109 (0.48 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.82
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.556255

15m : 0.037111

1H : 0.036715

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 1.008122513E-5
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 0.00309134
  4. ema21 - 0.00316605
  5. ema50 - 0.00330835
  6. ema100 - 0.0034323
  7. price_ema9_diff - 0.000857619
  8. ema9_ema21_diff - -0.0235956
  9. ema21_ema50_diff - -0.0430134
  10. price_ema100_diff - -0.0985655
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.375731
  14. ema_slope_21 - -0.448226
  15. ema_slope_50 - -0.33643
  16. ema_slope_100 - -0.22408
  17. rsi - 0.362161
  18. adx - 0.611814
  19. kc_percentage - 0.185514
  20. kc_width_percentage - 0.0672989
  21. volume_ema_diff - -0.529854
  22. volume_ema1 - 64860.651082763
  23. volume_ema2 - 137958.77289681
  24. chop - 75.2902
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.00307395
  28. ema21 - 0.00307829
  29. ema50 - 0.00311263
  30. ema100 - 0.00319304
  31. price_ema9_diff - 0.00652231
  32. ema9_ema21_diff - -0.00141261
  33. ema21_ema50_diff - -0.011031
  34. price_ema100_diff - -0.0310186
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.000758685
  38. ema_slope_21 - -0.0222643
  39. ema_slope_50 - -0.0615493
  40. ema_slope_100 - -0.0825254
  41. rsi - 0.540533
  42. adx - 0.247274
  43. kc_percentage - 0.703713
  44. kc_width_percentage - 0.025814
  45. volume_ema_diff - -0.675874
  46. volume_ema1 - 9784.4910684469
  47. volume_ema2 - 30187.334292566
  48. chop - 65.1167
  49. regime - bear_medium
    50. ¸
  50. 5m
  51. ema9 - 0.00307533
  52. ema21 - 0.00307295
  53. ema50 - 0.00307594
  54. ema100 - 0.00307826
  55. price_ema9_diff - 0.00606812
  56. ema9_ema21_diff - 0.000776647
  57. ema21_ema50_diff - -0.000971648
  58. price_ema100_diff - 0.00511235
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - -0.00105948
  62. ema_slope_21 - -0.0168409
  63. ema_slope_50 - -0.0137771
  64. ema_slope_100 - -0.00838715
  65. rsi - 0.625216
  66. adx - 0.226701
  67. kc_percentage - 1.03955
  68. kc_width_percentage - 0.0126352
  69. volume_ema_diff - -0.758188
  70. volume_ema1 - 1700.4537709873
  71. volume_ema2 - 7032.1501394893
  72. chop - 38.861
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 112494
  77. 5m_price_ema100_diff: 0.000397342
  78. 5m_price: 112539
  79. 5m_correlation_with_coin: 0.556255
  80. btc_indicators
  81. 15m_ema100: 113332
  82. 15m_price_ema100_diff: -0.00701843
  83. 15m_price: 112537
  84. 15m_correlation_with_coin: 0.037111
  85. btc_indicators
  86. 1H_ema100: 115046
  87. 1H_price_ema100_diff: -0.0217923
  88. 1H_price: 112539
  89. 1H_correlation_with_coin: 0.036715
    90. ¸

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:36:15		 22 Sep 2025
16:55:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.003094 0.003109 0.003064 2 0.001342
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 0.003094
  • Stop Loss: 0.003109
  • Take Profit: 0.003064

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.003109 - 0.003094 = 1.5E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.003094 - 0.003064 = 3.0E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 3.0E-5 / 1.5E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
1636.8381 100 529036.2297 16.37
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 1.5E-5

Taille de position = 8 / 1.5E-5 = 533333.33

Taille de position USD = 533333.33 x 0.003094 = 1650.13

Donc, tu peux acheter 533333.33 avec un stoploss a 0.003109

Avec un position size USD de 1650.13$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 533333.33 x 1.5E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 533333.33 x 3.0E-5 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 533333.33
  • Taille de position USD 1650.13
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.97 % 15.87 $
SL % Target SL $ Target
0.48 % 7.94 $
PNL PNL %
-7.94 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5495 % 113.35 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.003064
            [entry_price] => 0.003094
            [stop_loss] => 0.0031105
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 16:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.003064
            [entry_price] => 0.003094
            [stop_loss] => 0.003112
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.003064
            [entry_price] => 0.003094
            [stop_loss] => 0.0031135
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.003064
            [entry_price] => 0.003094
            [stop_loss] => 0.0031165
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.0E-6
            [max_drawdown] => 4.4E-5
            [rr_ratio] => 0.07
            [high] => 0.00313800
            [low] => 0.00309100
            [mfe_pct] => 0.1
            [mae_pct] => 1.42
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:36:15-04:00
            [end_at] => 2025-09-22T18:36:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 9.2E-5
            [max_drawdown] => 7.2E-5
            [rr_ratio] => 1.28
            [high] => 0.00316600
            [low] => 0.00300200
            [mfe_pct] => 2.97
            [mae_pct] => 2.33
            [mfe_mae_ratio] => 1.28
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:36:15-04:00
            [end_at] => 2025-09-22T23:36:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00309900
            [high_after] => 0.00316600
            [low_before] => 0.00304000
            [low_after] => 0.00308000
            [is_new_high] => 
            [is_new_low] => 
        )

)