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Short Trade on DOGE

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Short Trade on DOGE 16 Sep 2025 at 11:55:20

Take profit at 0.2626 (1.28 %) and Stop Loss at 0.2677 (0.64 %)

Short Trade on DOGE

The 16 Sep 2025 at 11:55:20

With 4638.0303 DOGE at 0.266$ per unit.

Position size of 1233.7624 $

Take profit at 0.2626 (1.28 %) and Stop Loss at 0.2677 (0.64 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.44
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.79
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_medium
BTC Correlation Score

5m : 0.672616

15m : 0.117992

1H : 0.024236

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.001149913423
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.26486
  4. ema21 : 0.266066
  5. ema50 : 0.269702
  6. ema100 : 0.271742
  7. price_ema9_diff : 0.00433896
  8. ema9_ema21_diff : -0.00453133
  9. ema21_ema50_diff : -0.013482
  10. price_ema100_diff : -0.0210938
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0648508
  14. ema_slope_21 : -0.0635491
  15. ema_slope_50 : -0.0825565
  16. ema_slope_100 : -0.0524066
  17. rsi : 0.483356
  18. adx : 0.256985
  19. kc_percentage : 0.503688
  20. kc_width_percentage : 0.0618698
  21. volume_ema_diff : 0.404291
  22. volume_ema1 : 52572370.549062
  23. volume_ema2 : 37436933.934608
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.263424
  27. ema21 : 0.263838
  28. ema50 : 0.264857
  29. ema100 : 0.265088
  30. price_ema9_diff : 0.00981677
  31. ema9_ema21_diff : -0.00157274
  32. ema21_ema50_diff : -0.00384526
  33. price_ema100_diff : 0.00347522
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0613745
  37. ema_slope_21 : -0.056593
  38. ema_slope_50 : -0.0368717
  39. ema_slope_100 : -0.0182455
  40. rsi : 0.529919
  41. adx : 0.208442
  42. kc_percentage : 0.760041
  43. kc_width_percentage : 0.0321226
  44. volume_ema_diff : -0.00946389
  45. volume_ema1 : 9978755.0358333
  46. volume_ema2 : 10074095.189077
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.264596
  50. ema21 : 0.26354
  51. ema50 : 0.263623
  52. ema100 : 0.264473
  53. price_ema9_diff : 0.00534314
  54. ema9_ema21_diff : 0.00400714
  55. ema21_ema50_diff : -0.000314952
  56. price_ema100_diff : 0.00581042
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.106336
  60. ema_slope_21 : 0.0511715
  61. ema_slope_50 : 0.00729507
  62. ema_slope_100 : -0.00503215
  63. rsi : 0.652732
  64. adx : 0.25167
  65. kc_percentage : 1.05701
  66. kc_width_percentage : 0.0164126
  67. volume_ema_diff : -0.481174
  68. volume_ema1 : 2304535.7128547
  69. volume_ema2 : 4441830.9807258
  70. regime : range_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115333
  74. 5m_price_ema100_diff: 
    0.000977862
  75. 5m_price: 
    115446
  76. 5m_correlation_with_coin: 
    0.672616
  77. btc_indicators
  78. 15m_ema100: 
    115200
  79. 15m_price_ema100_diff: 
    0.00199245
  80. 15m_price: 
    115430
  81. 15m_correlation_with_coin: 
    0.117992
  82. btc_indicators
  83. 1H_ema100: 
    115380
  84. 1H_price_ema100_diff: 
    0.000568247
  85. 1H_price: 
    115446
  86. 1H_correlation_with_coin: 
    0.024236
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
11:55:20		 16 Sep 2025
12:30:00		 34 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.266 0.2677 0.2626 2 0.09401
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 0.266
  • Stop Loss: 0.2677
  • Take Profit: 0.2626

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2677 - 0.266 = 0.0017

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.266 - 0.2626 = 0.0034

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0034 / 0.0017 = 2

📌 Position Size

Amount Margin Quantity Leverage
1233.7624 100 4638.0303 12.34
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 0.0017

Taille de position = 8 / 0.0017 = 4705.88

Taille de position USD = 4705.88 x 0.266 = 1251.76

Donc, tu peux acheter 4705.88 avec un stoploss a 0.2677

Avec un position size USD de 1251.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4705.88 x 0.0017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4705.88 x 0.0034 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4705.88
  • Taille de position USD 1251.76
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.28 % 15.77 $
SL % Target SL $ Target
0.64 % 7.88 $
PNL PNL %
-7.88 $ -0.64
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7368 % 115.29 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2626
            [entry_price] => 0.266
            [stop_loss] => 0.26787
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 12:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2626
            [entry_price] => 0.266
            [stop_loss] => 0.26804
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 13:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2626
            [entry_price] => 0.266
            [stop_loss] => 0.26821
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 13:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2626
            [entry_price] => 0.266
            [stop_loss] => 0.26855
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 13:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00149
            [max_drawdown] => 0.00398
            [rr_ratio] => 0.37
            [high] => 0.26998000
            [low] => 0.26451000
            [mfe_pct] => 0.56
            [mae_pct] => 1.5
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T11:55:20-04:00
            [end_at] => 2025-09-16T13:55:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00149
            [max_drawdown] => 0.00611
            [rr_ratio] => 0.24
            [high] => 0.27211000
            [low] => 0.26451000
            [mfe_pct] => 0.56
            [mae_pct] => 2.3
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T11:55:20-04:00
            [end_at] => 2025-09-16T18:55:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.26712000
            [high_after] => 0.26998000
            [low_before] => 0.25702000
            [low_after] => 0.26451000
            [is_new_high] => 
            [is_new_low] => 
        )

)