Trade

sell - DOGE

Status
win
2025-06-12 13:49:38
15 minutes
PNL
0.63
Entry: 0.19
Last: 0.18880000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.735
Prediction 1 Accuracy
Strong Trade
0.51
Prediction 2 Accuracy
1 0.42
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0005411743738
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.188657
  4. ema21 - 0.190363
  5. ema50 - 0.19205
  6. ema100 - 0.191081
  7. price_ema9_diff - 0.00737907
  8. ema9_ema21_diff - -0.00896152
  9. ema21_ema50_diff - -0.0087821
  10. price_ema100_diff - -0.00539631
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.470105
  14. kc_percentage - 0.480904
  15. kc_width_percentage - 0.0489245
  16. volume_ema_diff - 0.456057
  17. ¸
  18. 15m
  19. ema9 - 0.188857
  20. ema21 - 0.188548
  21. ema50 - 0.189256
  22. ema100 - 0.19146
  23. price_ema9_diff - 0.00631344
  24. ema9_ema21_diff - 0.00164037
  25. ema21_ema50_diff - -0.00374212
  26. price_ema100_diff - -0.00736458
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.593754
  30. kc_percentage - 0.865437
  31. kc_width_percentage - 0.0215962
  32. volume_ema_diff - 0.187263
  33. ¸
  34. 5m
  35. ema9 - 0.189377
  36. ema21 - 0.188737
  37. ema50 - 0.188405
  38. ema100 - 0.188476
  39. price_ema9_diff - 0.00355267
  40. ema9_ema21_diff - 0.00339002
  41. ema21_ema50_diff - 0.00175994
  42. price_ema100_diff - 0.00834671
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.689534
  46. kc_percentage - 1.12464
  47. kc_width_percentage - 0.0107925
  48. volume_ema_diff - -0.00681465
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 107474
  53. 5m_price_ema100_diff: 0.00834294
  54. 5m_price: 108370
  55. 5m_correlation_with_coin: 0.832002
  56. btc_indicators
  57. 15m_ema100: 107958
  58. 15m_price_ema100_diff: 0.00381614
  59. 15m_price: 108370
  60. btc_indicators
  61. 1H_ema100: 108028
  62. 1H_price_ema100_diff: 0.00316692
  63. 1H_price: 108370
  64. ¸

Short Trade on DOGE

The 12 Jun 2025 at 13:49:38

With 9855 DOGE at 0.19$ per unit.

Position size of 1873 $

Take profit at 0.1888 (0.63 %) and Stop Loss at 0.1909 (0.47 %)

That's a 1.3 RR Trade

📌 Similar Trades

Similar Trade Score: 52.17 %

Symbol Start at Seach Score Trade Score Trades Count
LTC 2025-06-12 13:41:07 0.9509 46.67 3
POPCAT 2025-06-12 13:46:18 0.9621 70 1
DYDX 2025-06-12 13:38:22 0.9456 65 2
EIGEN 2025-06-12 13:46:34 0.9588 60 1
BRETT 2025-06-12 13:45:58 0.954 50 1
MUBARAK 2025-06-12 13:48:13 0.9521 40 1
PNUT 2025-06-12 13:47:14 0.9521 50 1
FLOKI 2025-06-12 13:44:21 0.936 40 1
GOAT 2025-06-12 13:46:47 0.9358 60 1
LINK 2025-06-12 13:42:24 0.9233 40 1

📌 Time Data

Start at Closed at Duration
12 Jun 2025
13:49:38
12 Jun 2025
14:05:00
15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.19 0.1909 0.1888 1.3 0.1713
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 0.19
  • Stop Loss: 0.1909
  • Take Profit: 0.1888

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1909 - 0.19 = 0.00089999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.19 - 0.1888 = 0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0012 / 0.00089999999999998 = 1.3333

📌 Position Size

Amount Margin Quantity Leverage
1873 100 9855 18.73
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 0.00089999999999998

Taille de position = 8 / 0.00089999999999998 = 8888.89

Taille de position USD = 8888.89 x 0.19 = 1688.89

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1909

Avec un position size USD de 1688.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00089999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0012 = 10.67

Si Take Profit atteint, tu gagneras 10.67$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1688.89
  • Perte potentielle 8
  • Gain potentiel 10.67
  • Risk-Reward Ratio 1.3333

📌 Peformances

TP % Target TP $ Target
0.63 % 12 $
SL % Target SL $ Target
0.47 % 8.9 $
PNL PNL %
12 $ 0.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0263 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1882
            [stop_loss] => 0.1909
            [rr_ratio] => 2
            [closed_at] => 2025-06-12 14:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.18775
            [stop_loss] => 0.1909
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-12 14:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1873
            [stop_loss] => 0.1909
            [rr_ratio] => 3
            [closed_at] => 2025-06-12 14:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.18685
            [stop_loss] => 0.1909
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-12 14:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1864
            [stop_loss] => 0.1909
            [rr_ratio] => 4
            [closed_at] => 2025-06-12 14:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.18595
            [stop_loss] => 0.1909
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-12 14:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1855
            [stop_loss] => 0.1909
            [rr_ratio] => 5
            [closed_at] => 2025-06-12 15:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.18505
            [stop_loss] => 0.1909
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-12 15:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1846
            [stop_loss] => 0.1909
            [rr_ratio] => 6
            [closed_at] => 2025-06-12 15:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.18415
            [stop_loss] => 0.1909
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-12 15:50:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1837
            [stop_loss] => 0.1909
            [rr_ratio] => 7
            [closed_at] => 2025-06-12 15:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)