Trade

sell - DOGE

Status
win
2025-08-29 08:41:15
48 minutes
PNL
0.96
Entry: 0.2185
Last: 0.21640000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.0318
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.62
ML Trade Score: 110
ML Pullback Score: 9.84

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0009492130443
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 0.216984
  4. ema21 - 0.21885
  5. ema50 - 0.219781
  6. ema100 - 0.219611
  7. price_ema9_diff - 0.00712125
  8. ema9_ema21_diff - -0.00852589
  9. ema21_ema50_diff - -0.00423606
  10. price_ema100_diff - -0.00492294
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.481033
  14. adx - 0.243302
  15. kc_percentage - 0.481194
  16. kc_width_percentage - 0.0529964
  17. volume_ema_diff - 0.743434
  18. volume_ema1 - 30828321.827298
  19. volume_ema2 - 17682519.186704
  20. ¸
  21. 15m
  22. ema9 - 0.215736
  23. ema21 - 0.215756
  24. ema50 - 0.217593
  25. ema100 - 0.219571
  26. price_ema9_diff - 0.0129485
  27. ema9_ema21_diff - -9.37176E-5
  28. ema21_ema50_diff - -0.00844258
  29. price_ema100_diff - -0.00474287
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.614005
  33. adx - 0.312713
  34. kc_percentage - 0.96517
  35. kc_width_percentage - 0.0277778
  36. volume_ema_diff - 1.45132
  37. volume_ema1 - 15066888.02599
  38. volume_ema2 - 6146432.5316673
  39. ¸
  40. 5m
  41. ema9 - 0.216878
  42. ema21 - 0.215905
  43. ema50 - 0.215549
  44. ema100 - 0.216554
  45. price_ema9_diff - 0.00761414
  46. ema9_ema21_diff - 0.00450792
  47. ema21_ema50_diff - 0.001651
  48. price_ema100_diff - 0.00912188
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.740745
  52. adx - 0.28932
  53. kc_percentage - 1.10031
  54. kc_width_percentage - 0.019642
  55. volume_ema_diff - 1.69816
  56. volume_ema1 - 8065856.0936337
  57. volume_ema2 - 2989390.1394052
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 110373
  62. 5m_price_ema100_diff: 0.0022393
  63. 5m_price: 110620
  64. 5m_correlation_with_coin: 0.782106
  65. btc_indicators
  66. 15m_ema100: 111340
  67. 15m_price_ema100_diff: -0.00553544
  68. 15m_price: 110724
  69. btc_indicators
  70. 1H_ema100: 111502
  71. 1H_price_ema100_diff: -0.00791269
  72. 1H_price: 110620
  73. ¸

Short Trade on DOGE

The 29 Aug 2025 at 08:41:15

With 5618.6895 DOGE at 0.2185$ per unit.

Position size of 1227.8522 $

Take profit at 0.2164 (0.96 %) and Stop Loss at 0.22 (0.69 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: 13.75 %

Symbol Start at Seach Score Trade Score Trades Count
ADA 2025-08-29 08:46:41 0.986 -35 2
LTC 2025-08-29 08:40:31 0.9849 30 1
ETC 2025-08-29 08:30:17 0.9825 -100 1
ACH 2025-08-29 08:34:26 0.9783 30 1
VIRTUAL 2025-08-29 08:37:56 0.977 30 1
NEAR 2025-08-29 08:32:48 0.9769 30 1
JASMY 2025-08-29 08:34:10 0.9766 30 1
TURBO 2025-08-29 08:35:27 0.9763 30 1
RENDER 2025-08-29 08:37:03 0.9745 30 1
IOTA 2025-08-29 08:33:16 0.974 30 1
SUI 2025-08-29 08:54:43 0.9735 30 1
ENS 2025-08-29 08:33:36 0.9726 30 1

📌 Time Data

Start at Closed at Duration
29 Aug 2025
08:41:15
29 Aug 2025
09:30:00
48 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2185 0.22 0.2164 1.4 0.2136
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 0.2185
  • Stop Loss: 0.22
  • Take Profit: 0.2164

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.22 - 0.2185 = 0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2185 - 0.2164 = 0.0021

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0021 / 0.0015 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
1227.8522 100 5618.6895 12.28
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 0.0015

Taille de position = 8 / 0.0015 = 5333.33

Taille de position USD = 5333.33 x 0.2185 = 1165.33

Donc, tu peux acheter 5333.33 avec un stoploss a 0.22

Avec un position size USD de 1165.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5333.33 x 0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5333.33 x 0.0021 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 5333.33
  • Taille de position USD 1165.33
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.96 % 11.8 $
SL % Target SL $ Target
0.69 % 8.43 $
PNL PNL %
11.8 $ 0.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4348 % 63.34 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2155
            [stop_loss] => 0.22
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 09:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.21475
            [stop_loss] => 0.22
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.214
            [stop_loss] => 0.22
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.21325
            [stop_loss] => 0.22
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2125
            [stop_loss] => 0.22
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.21175
            [stop_loss] => 0.22
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 12:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.211
            [stop_loss] => 0.22
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 13:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.21025
            [stop_loss] => 0.22
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 14:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00634
            [max_drawdown] => 0.00095000000000001
            [rr_ratio] => 6.67
            [high] => 0.21945000
            [low] => 0.21216000
            [mfe_pct] => 2.9
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 6.67
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T08:41:15-04:00
            [end_at] => 2025-08-29T10:41:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00876
            [max_drawdown] => 0.00095000000000001
            [rr_ratio] => 9.22
            [high] => 0.21945000
            [low] => 0.20974000
            [mfe_pct] => 4.01
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 9.22
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T08:41:15-04:00
            [end_at] => 2025-08-29T15:41:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22119000
            [high_after] => 0.21945000
            [low_before] => 0.21167000
            [low_after] => 0.21008000
            [is_new_high] => 
            [is_new_low] => 1
        )

)