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Trade

buy - DOGE

Status
win
2025-06-29 23:29:35
30 minutes
PNL
0.48
Entry: 0.1667
Last: 0.16750000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3909
Prediction 1 Accuracy
Weak Trade
0.72
Prediction 2 Accuracy
0 0.46
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.31
  4. atr: 0.0003541355895
Details
  1. score: 2.31
  2. 1H
  3. ema9 - 0.167054
  4. ema21 - 0.165814
  5. ema50 - 0.164356
  6. ema100 - 0.163632
  7. price_ema9_diff - -0.00236351
  8. ema9_ema21_diff - 0.00748035
  9. ema21_ema50_diff - 0.00887155
  10. price_ema100_diff - 0.0184992
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.566004
  14. kc_percentage - 0.638612
  15. kc_width_percentage - 0.0331312
  16. volume_ema_diff - 0.161631
  17. volume_ema1 - 7473691.6858692
  18. volume_ema2 - 6433787.0134012
    19. ¸
  19. 15m
  20. ema9 - 0.167857
  21. ema21 - 0.167821
  22. ema50 - 0.166657
  23. ema100 - 0.165496
  24. price_ema9_diff - -0.00713667
  25. ema9_ema21_diff - 0.000217518
  26. ema21_ema50_diff - 0.00698132
  27. price_ema100_diff - 0.00702743
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.435929
  31. kc_percentage - 0.0768829
  32. kc_width_percentage - 0.0169813
  33. volume_ema_diff - -0.450155
  34. volume_ema1 - 1098470.3108075
  35. volume_ema2 - 1997784.1675212
    36. ¸
  36. 5m
  37. ema9 - 0.167243
  38. ema21 - 0.16777
  39. ema50 - 0.167996
  40. ema100 - 0.167356
  41. price_ema9_diff - -0.00348687
  42. ema9_ema21_diff - -0.00314077
  43. ema21_ema50_diff - -0.00134732
  44. price_ema100_diff - -0.00416432
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.224129
  48. kc_percentage - -0.305797
  49. kc_width_percentage - 0.00802733
  50. volume_ema_diff - 0.0805561
  51. volume_ema1 - 761046.53944734
  52. volume_ema2 - 704310.01361875
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108172
  56. 5m_price_ema100_diff: 0.00218603
  57. 5m_price: 108408
  58. 5m_correlation_with_coin: 0.597215
  59. btc_indicators
  60. 15m_ema100: 107844
  61. 15m_price_ema100_diff: 0.00512169
  62. 15m_price: 108396
  63. btc_indicators
  64. 1H_ema100: 107459
  65. 1H_price_ema100_diff: 0.00882867
  66. 1H_price: 108408
    67. ¸

Long Trade on DOGE

The 29 Jun 2025 at 23:29:35

With 15060 DOGE at 0.1667$ per unit.

Position size of 2510 $

Take profit at 0.1675 (0.48 %) and Stop Loss at 0.1661 (0.36 %)

That's a 1.3 RR Trade

📌 Similar Trades

Similar Trade Score: -50.74 %

Symbol Start at Seach Score Trade Score Trades Count
LTC 2025-06-29 23:28:08 0.9818 -100 1
DOT 2025-06-29 23:24:06 0.9741 -100 2
ETHFI 2025-06-29 23:11:46 0.9714 -56.67 3
BROCCOLI 2025-03-27 18:54:52 0.9728 -100 1
AVAX 2025-06-29 23:19:46 0.9694 -100 1
BNB 2025-05-10 00:22:42 0.9693 30 2
ATOM 2025-06-29 23:31:12 0.9689 40 1
GALA 2025-06-29 23:32:00 0.9684 30 1
MEW 2025-06-29 23:24:32 0.9675 -100 1

📌 Time Data

Start at Closed at Duration
29 Jun 2025
23:29:35		 30 Jun 2025
00:00:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1667 0.1661 0.1675 1.3 0.1702
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 0.1667
  • Stop Loss: 0.1661
  • Take Profit: 0.1675

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1661 - 0.1667 = -0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1667 - 0.1675 = -0.00080000000000002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00080000000000002 / -0.00059999999999999 = 1.3333

📌 Position Size

Amount Margin Quantity Leverage
2510 100 15060 25.10
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 -0.00059999999999999

Taille de position = 8 / -0.00059999999999999 = -13333.33

Taille de position USD = -13333.33 x 0.1667 = -2222.67

Donc, tu peux acheter -13333.33 avec un stoploss a 0.1661

Avec un position size USD de -2222.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -13333.33 x -0.00059999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -13333.33 x -0.00080000000000002 = 10.67

Si Take Profit atteint, tu gagneras 10.67$

Résumé

  • Taille de position -13333.33
  • Taille de position USD -2222.67
  • Perte potentielle 8
  • Gain potentiel 10.67
  • Risk-Reward Ratio 1.3333

📌 Peformances

TP % Target TP $ Target
0.48 % 12 $
SL % Target SL $ Target
0.36 % 9 $
PNL PNL %
12 $ 0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.006 % 1.67 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1679
            [stop_loss] => 0.1661
            [rr_ratio] => 2
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1682
            [stop_loss] => 0.1661
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1685
            [stop_loss] => 0.1661
            [rr_ratio] => 3
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1688
            [stop_loss] => 0.1661
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1691
            [stop_loss] => 0.1661
            [rr_ratio] => 4
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1694
            [stop_loss] => 0.1661
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1697
            [stop_loss] => 0.1661
            [rr_ratio] => 5
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.17
            [stop_loss] => 0.1661
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1703
            [stop_loss] => 0.1661
            [rr_ratio] => 6
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1706
            [stop_loss] => 0.1661
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1709
            [stop_loss] => 0.1661
            [rr_ratio] => 7
            [closed_at] => 2025-06-30 02:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)