Web3Way Logo

Trade

sell - DOGE

Status
win
2025-06-17 15:20:48
1 hour
PNL
0.88
Entry: 0.1705
Last: 0.16900000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.1552
Prediction 1 Accuracy
Weak Trade
0.7
Prediction 2 Accuracy
0 0.56
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.39
  4. atr: 0.0006676588808
Details
  1. score: 1.39
  2. 1H
  3. ema9 - 0.169325
  4. ema21 - 0.171354
  5. ema50 - 0.173724
  6. ema100 - 0.175321
  7. price_ema9_diff - 0.00717304
  8. ema9_ema21_diff - -0.0118428
  9. ema21_ema50_diff - -0.0136428
  10. price_ema100_diff - -0.0272729
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.452092
  14. kc_percentage - 0.427645
  15. kc_width_percentage - 0.0546748
  16. volume_ema_diff - 0.0337346
    17. ¸
  17. 15m
  18. ema9 - 0.168231
  19. ema21 - 0.168322
  20. ema50 - 0.170019
  21. ema100 - 0.172283
  22. price_ema9_diff - 0.013723
  23. ema9_ema21_diff - -0.000541489
  24. ema21_ema50_diff - -0.00997996
  25. price_ema100_diff - -0.0101224
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.5887
  29. kc_percentage - 0.975664
  30. kc_width_percentage - 0.0279493
  31. volume_ema_diff - -0.227648
    32. ¸
  32. 5m
  33. ema9 - 0.169181
  34. ema21 - 0.168173
  35. ema50 - 0.167988
  36. ema100 - 0.16873
  37. price_ema9_diff - 0.00802953
  38. ema9_ema21_diff - 0.00599271
  39. ema21_ema50_diff - 0.00110217
  40. price_ema100_diff - 0.0107266
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.732435
  44. kc_percentage - 1.39059
  45. kc_width_percentage - 0.0152611
  46. volume_ema_diff - -0.112135
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104619
  50. 5m_price_ema100_diff: 0.00341686
  51. 5m_price: 104976
  52. 5m_correlation_with_coin: 0.833836
  53. btc_indicators
  54. 15m_ema100: 105990
  55. 15m_price_ema100_diff: -0.00959587
  56. 15m_price: 104973
  57. btc_indicators
  58. 1H_ema100: 105963
  59. 1H_price_ema100_diff: -0.00931426
  60. 1H_price: 104976
    61. ¸

Short Trade on DOGE

The 17 Jun 2025 at 15:20:48

With 7988 DOGE at 0.1705$ per unit.

Position size of 1362 $

Take profit at 0.169 (0.88 %) and Stop Loss at 0.1715 (0.59 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -24.55 %

Symbol Start at Seach Score Trade Score Trades Count
NEAR 2025-06-17 15:23:00 0.9885 50 1
SHIB 2025-06-17 15:22:32 0.9885 40 1
FLOKI 2025-06-17 15:25:26 0.9877 -100 1
ETH 2025-06-17 15:29:07 0.9864 30 1
AVAX 2025-06-17 15:22:18 0.9848 50 1
ADA 2025-06-17 15:24:44 0.9843 -35 2
LTC 2025-06-17 15:24:32 0.9823 -35 2
GALA 2025-06-17 15:22:46 0.9832 -100 1
ORDI 2025-06-17 15:26:04 0.9825 30 1
BRETT 2025-06-17 15:28:40 0.9806 -100 1
1MBABYDOGE 2025-06-17 15:16:55 0.9802 -100 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
15:20:48		 17 Jun 2025
17:05:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1705 0.1715 0.169 1.5 0.1623
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 0.1705
  • Stop Loss: 0.1715
  • Take Profit: 0.169

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1715 - 0.1705 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1705 - 0.169 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1362 100 7988 13.62
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1705 = 1364

Donc, tu peux acheter 8000 avec un stoploss a 0.1715

Avec un position size USD de 1364$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 8000
  • Taille de position USD 1364
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.88 % 12 $
SL % Target SL $ Target
0.59 % 8 $
PNL PNL %
12 $ 0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5279 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1685
            [stop_loss] => 0.1715
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 17:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.168
            [stop_loss] => 0.1715
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-17 21:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1675
            [stop_loss] => 0.1715
            [rr_ratio] => 3
            [closed_at] => 2025-06-17 21:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.167
            [stop_loss] => 0.1715
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-17 21:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1665
            [stop_loss] => 0.1715
            [rr_ratio] => 4
            [closed_at] => 2025-06-17 21:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.166
            [stop_loss] => 0.1715
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-17 21:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1655
            [stop_loss] => 0.1715
            [rr_ratio] => 5
            [closed_at] => 2025-06-17 21:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.165
            [stop_loss] => 0.1715
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-17 21:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1645
            [stop_loss] => 0.1715
            [rr_ratio] => 6
            [closed_at] => 2025-06-17 21:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.164
            [stop_loss] => 0.1715
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-17 21:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1635
            [stop_loss] => 0.1715
            [rr_ratio] => 7
            [closed_at] => 2025-06-17 21:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)