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Long Trade on DOGE

Long Trade on DOGE

The 31 Aug 2025 at 06:08:07

With 16009.9909 DOGE at 0.2174$ per unit.

Position size of 3481.3725 $

Take profit at 0.2182 (0.37 %) and Stop Loss at 0.217 (0.18 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.28
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.54
Prediction 2 Probability
0 0.73
Prediction 3 Probability
1 0.56
Market Regime Score BTC Correlation

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

 0

5m : 0.5475

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0003331253205
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 0.217982
  4. ema21 - 0.217382
  5. ema50 - 0.217057
  6. ema100 - 0.217622
  7. price_ema9_diff - -0.00244376
  8. ema9_ema21_diff - 0.00276268
  9. ema21_ema50_diff - 0.00149351
  10. price_ema100_diff - -0.000790584
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.511851
  14. adx - 0.196804
  15. kc_percentage - 0.503768
  16. kc_width_percentage - 0.0273666
  17. volume_ema_diff - -0.45258
  18. volume_ema1 - 5034446.7377771
  19. volume_ema2 - 9196680.6421962
    20. ¸
  20. 15m
  21. ema9 - 0.218148
  22. ema21 - 0.218288
  23. ema50 - 0.217869
  24. ema100 - 0.217198
  25. price_ema9_diff - -0.00320345
  26. ema9_ema21_diff - -0.000638876
  27. ema21_ema50_diff - 0.001922
  28. price_ema100_diff - 0.00115681
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.412665
  32. adx - 0.204204
  33. kc_percentage - 0.157984
  34. kc_width_percentage - 0.011285
  35. volume_ema_diff - 0.207961
  36. volume_ema1 - 1948415.9539477
  37. volume_ema2 - 1612979.1699538
    38. ¸
  38. 5m
  39. ema9 - 0.217918
  40. ema21 - 0.218208
  41. ema50 - 0.218374
  42. ema100 - 0.218554
  43. price_ema9_diff - -0.00214844
  44. ema9_ema21_diff - -0.00133032
  45. ema21_ema50_diff - -0.00075968
  46. price_ema100_diff - -0.00505449
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.30974
  50. adx - 0.239271
  51. kc_percentage - -0.0534556
  52. kc_width_percentage - 0.00620481
  53. volume_ema_diff - 0.251497
  54. volume_ema1 - 744907.76205813
  55. volume_ema2 - 595213.35900196
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108868
  59. 5m_price_ema100_diff: -0.00423046
  60. 5m_price: 108407
  61. 5m_correlation_with_coin: 0.5475
  62. btc_indicators
  63. 15m_ema100: 108731
  64. 15m_price_ema100_diff: -0.00298151
  65. 15m_price: 108407
  66. btc_indicators
  67. 1H_ema100: 109685
  68. 1H_price_ema100_diff: -0.0116455
  69. 1H_price: 108407
    70. ¸

📌 Time Data

Start at Closed at Duration
31 Aug 2025
06:08:07		 31 Aug 2025
06:15:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2174 0.217 0.2182 2 0.2101
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 0.2174
  • Stop Loss: 0.217
  • Take Profit: 0.2182

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.217 - 0.2174 = -0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2174 - 0.2182 = -0.0008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0008 / -0.00040000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
3481.3725 100 16009.9909 34.81
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 0.2174 = -4348

Donc, tu peux acheter -20000 avec un stoploss a 0.217

Avec un position size USD de -4348$

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 -0.0008 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -20000
  • Taille de position USD -4348
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.37 % 12.81 $
SL % Target SL $ Target
0.18 % 6.4 $
PNL PNL %
-6.41 $ -0.18
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2668 % 145 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2182
            [entry_price] => 0.2174
            [stop_loss] => 0.21696
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-08-31 06:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2182
            [entry_price] => 0.2174
            [stop_loss] => 0.21692
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-08-31 06:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2182
            [entry_price] => 0.2174
            [stop_loss] => 0.21688
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-08-31 06:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2182
            [entry_price] => 0.2174
            [stop_loss] => 0.2168
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-08-31 06:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00114
            [max_drawdown] => 0.00131
            [rr_ratio] => 0.87
            [high] => 0.21854000
            [low] => 0.21609000
            [mfe_pct] => 0.52
            [mae_pct] => 0.6
            [mfe_mae_ratio] => 0.87
            [candles_analyzed] => 24
            [start_at] => 2025-08-31T06:08:07-04:00
            [end_at] => 2025-08-31T08:08:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00127
            [max_drawdown] => 0.00131
            [rr_ratio] => 0.97
            [high] => 0.21867000
            [low] => 0.21609000
            [mfe_pct] => 0.58
            [mae_pct] => 0.6
            [mfe_mae_ratio] => 0.97
            [candles_analyzed] => 84
            [start_at] => 2025-08-31T06:08:07-04:00
            [end_at] => 2025-08-31T13:08:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.21937000
            [high_after] => 0.21867000
            [low_before] => 0.21712000
            [low_after] => 0.21609000
            [is_new_high] => 
            [is_new_low] => 
        )

)