Short Trade on DOGE

The 09 Dec 2025 at 07:03:58

With 22925.8405 DOGE at 0.1409$ per unit.

Position size of 3230.4802 $

Take profit at 0.1402 (0.5 %) and Stop Loss at 0.1413 (0.28 %)

That's a 1.75 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.18
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
1 0.61
Prediction 3 Probability
0 0.5
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.839008

15m : 0.086689

1H : 0.045836

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0002326341461
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.140712
  4. ema21 - 0.141124
  5. ema50 - 0.141174
  6. ema100 - 0.141336
  7. price_ema9_diff - 0.00140053
  8. ema9_ema21_diff - -0.00291656
  9. ema21_ema50_diff - -0.000354057
  10. price_ema100_diff - -0.00301716
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.113912
  14. ema_slope_21 - -0.0717934
  15. ema_slope_50 - -0.0225724
  16. ema_slope_100 - -0.0124939
  17. rsi - 0.479711
  18. adx - 0.152369
  19. kc_percentage - 0.454837
  20. kc_width_percentage - 0.0305833
  21. volume_ema_diff - -0.598268
  22. volume_ema1 - 1051449.3472686
  23. volume_ema2 - 2617294.129103
  24. chop - 59.5161
  25. regime - range_high
  26. ¸
  27. 15m
  28. ema9 - 0.140438
  29. ema21 - 0.140408
  30. ema50 - 0.140825
  31. ema100 - 0.141522
  32. price_ema9_diff - 0.00335566
  33. ema9_ema21_diff - 0.000216888
  34. ema21_ema50_diff - -0.00296139
  35. price_ema100_diff - -0.00432922
  36. all_emas_in_trend - False
  37. all_emas_and_price_in_trend - False
  38. ema_slope_9 - -0.00435754
  39. ema_slope_21 - -0.0101972
  40. ema_slope_50 - -0.0196408
  41. ema_slope_100 - -0.0199433
  42. rsi - 0.577754
  43. adx - 0.202408
  44. kc_percentage - 0.81097
  45. kc_width_percentage - 0.0115979
  46. volume_ema_diff - -0.479399
  47. volume_ema1 - 262388.00992584
  48. volume_ema2 - 504010.77345183
  49. chop - 55.8301
  50. regime - range_low
  51. ¸
  52. 5m
  53. ema9 - 0.140494
  54. ema21 - 0.140327
  55. ema50 - 0.140312
  56. ema100 - 0.140457
  57. price_ema9_diff - 0.00296032
  58. ema9_ema21_diff - 0.00118917
  59. ema21_ema50_diff - 0.000102977
  60. price_ema100_diff - 0.00322221
  61. all_emas_in_trend - True
  62. all_emas_and_price_in_trend - True
  63. ema_slope_9 - 0.0242189
  64. ema_slope_21 - 0.0101639
  65. ema_slope_50 - 0.00152693
  66. ema_slope_100 - -0.00195677
  67. rsi - 0.690491
  68. adx - 0.191556
  69. kc_percentage - 1.11886
  70. kc_width_percentage - 0.00661615
  71. volume_ema_diff - 0.162169
  72. volume_ema1 - 138845.77620601
  73. volume_ema2 - 119471.15192478
  74. chop - 41.0614
  75. regime - range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100: 90221.8
  80. 5m_price_ema100_diff: 0.0019089
  81. 5m_price: 90394.1
  82. 5m_correlation_with_coin: 0.839008
  83. btc_indicators
  84. 15m_ema100: 90555
  85. 15m_price_ema100_diff: -0.00177708
  86. 15m_price: 90394.1
  87. 15m_correlation_with_coin: 0.086689
  88. btc_indicators
  89. 1H_ema100: 90381
  90. 1H_price_ema100_diff: 0.000144507
  91. 1H_price: 90394.1
  92. 1H_correlation_with_coin: 0.045836
  93. ¸

📌 Time Data

Start at Closed at Duration
09 Dec 2025
07:03:58
09 Dec 2025
07:20:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1409 0.1413 0.1402 1.75 0.129
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 0.1409
  • Stop Loss: 0.1413
  • Take Profit: 0.1402

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1413 - 0.1409 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1409 - 0.1402 = 0.00070000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00070000000000001 / 0.00040000000000001 = 1.75

📌 Position Size

Amount Margin Quantity Leverage
3230.4802 100 22925.8405 32.30
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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.1409 = 2818

Donc, tu peux acheter 20000 avec un stoploss a 0.1413

Avec un position size USD de 2818$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00070000000000001 = 14

Si Take Profit atteint, tu gagneras 14$

Résumé

  • Taille de position 20000
  • Taille de position USD 2818
  • Perte potentielle 8
  • Gain potentiel 14
  • Risk-Reward Ratio 1.75

📌 Peformances

TP % Target TP $ Target
0.5 % 16.05 $
SL % Target SL $ Target
0.28 % 9.17 $
PNL PNL %
-9.17 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3336 % 117.51 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1402
            [entry_price] => 0.1409
            [stop_loss] => 0.14134
            [rr_ratio] => 1.59
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-09 07:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1402
            [entry_price] => 0.1409
            [stop_loss] => 0.14138
            [rr_ratio] => 1.46
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-09 07:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1402
            [entry_price] => 0.1409
            [stop_loss] => 0.14142
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-09 07:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1402
            [entry_price] => 0.1409
            [stop_loss] => 0.1415
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-09 07:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00029999999999999
            [max_drawdown] => 0.0015
            [rr_ratio] => 0.2
            [high] => 0.14240000
            [low] => 0.14060000
            [mfe_pct] => 0.21
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-12-09T07:03:58-05:00
            [end_at] => 2025-12-09T09:03:58-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00047
            [max_drawdown] => 0.01222
            [rr_ratio] => 0.04
            [high] => 0.15312000
            [low] => 0.14043000
            [mfe_pct] => 0.33
            [mae_pct] => 8.67
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 84
            [start_at] => 2025-12-09T07:03:58-05:00
            [end_at] => 2025-12-09T14:03:58-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14107000
            [high_after] => 0.15312000
            [low_before] => 0.13950000
            [low_after] => 0.14043000
            [is_new_high] => 
            [is_new_low] => 
        )

)