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Trade

buy - DOGE

Status
win
2025-06-29 23:19:14
45 minutes
PNL
0.48
Entry: 0.1669
Last: 0.16770000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.075
Prediction 1 Accuracy
Weak Trade
0.76
Prediction 2 Accuracy
0 0.45
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.0003644691961
Details
  1. score: 2.25
  2. 1H
  3. ema9 - 0.167104
  4. ema21 - 0.165837
  5. ema50 - 0.164366
  6. ema100 - 0.163637
  7. price_ema9_diff - -0.00116595
  8. ema9_ema21_diff - 0.00764378
  9. ema21_ema50_diff - 0.00894964
  10. price_ema100_diff - 0.0199962
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.58001
  14. kc_percentage - 0.683159
  15. kc_width_percentage - 0.0324345
  16. volume_ema_diff - 0.0758764
  17. volume_ema1 - 6842004.7936905
  18. volume_ema2 - 6359470.908439
    19. ¸
  19. 15m
  20. ema9 - 0.167853
  21. ema21 - 0.167819
  22. ema50 - 0.166657
  23. ema100 - 0.165496
  24. price_ema9_diff - -0.00562362
  25. ema9_ema21_diff - 0.000204519
  26. ema21_ema50_diff - 0.00697515
  27. price_ema100_diff - 0.00854045
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.434321
  31. kc_percentage - 0.165891
  32. kc_width_percentage - 0.0169559
  33. volume_ema_diff - -0.461191
  34. volume_ema1 - 1074931.9952564
  35. volume_ema2 - 1995014.953927
    36. ¸
  36. 5m
  37. ema9 - 0.167497
  38. ema21 - 0.167973
  39. ema50 - 0.168096
  40. ema100 - 0.167386
  41. price_ema9_diff - -0.00350562
  42. ema9_ema21_diff - -0.00283501
  43. ema21_ema50_diff - -0.000732896
  44. price_ema100_diff - -0.00284704
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.247766
  48. kc_percentage - -0.251444
  49. kc_width_percentage - 0.00825639
  50. volume_ema_diff - -0.273996
  51. volume_ema1 - 501386.20961381
  52. volume_ema2 - 690611.25070879
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108161
  56. 5m_price_ema100_diff: 0.00234396
  57. 5m_price: 108414
  58. 5m_correlation_with_coin: 0.595056
  59. btc_indicators
  60. 15m_ema100: 107844
  61. 15m_price_ema100_diff: 0.00528528
  62. 15m_price: 108414
  63. btc_indicators
  64. 1H_ema100: 107459
  65. 1H_price_ema100_diff: 0.00888522
  66. 1H_price: 108414
    67. ¸

Long Trade on DOGE

The 29 Jun 2025 at 23:19:14

With 14630 DOGE at 0.1669$ per unit.

Position size of 2442 $

Take profit at 0.1677 (0.48 %) and Stop Loss at 0.1664 (0.3 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -50.83 %

Symbol Start at Seach Score Trade Score Trades Count
LTC 2025-06-29 23:18:17 0.981 -100 1
DOT 2025-06-29 23:18:56 0.9774 -100 1
ETHFI 2025-06-29 23:06:11 0.974 -100 2
AVAX 2025-06-29 23:12:46 0.9707 -100 2
BNB 2025-05-10 00:19:36 0.971 33.33 3
NC 2025-06-29 11:31:30 0.9701 30 2
1000000MOG 2025-06-29 23:25:20 0.9714 30 1
A 2025-06-11 03:40:48 0.9692 -100 1

📌 Time Data

Start at Closed at Duration
29 Jun 2025
23:19:14		 30 Jun 2025
00:05:00		 45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1669 0.1664 0.1677 1.6 0.17
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 0.1669
  • Stop Loss: 0.1664
  • Take Profit: 0.1677

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1664 - 0.1669 = -0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1669 - 0.1677 = -0.0008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0008 / -0.0005 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
2442 100 14630 24.42
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 -0.0005

Taille de position = 8 / -0.0005 = -16000

Taille de position USD = -16000 x 0.1669 = -2670.4

Donc, tu peux acheter -16000 avec un stoploss a 0.1664

Avec un position size USD de -2670.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -16000 x -0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -16000 x -0.0008 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position -16000
  • Taille de position USD -2670.4
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.48 % 12 $
SL % Target SL $ Target
0.3 % 7.3 $
PNL PNL %
12 $ 0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2217 % 74 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1679
            [stop_loss] => 0.1664
            [rr_ratio] => 2
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.16815
            [stop_loss] => 0.1664
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1684
            [stop_loss] => 0.1664
            [rr_ratio] => 3
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.16865
            [stop_loss] => 0.1664
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1689
            [stop_loss] => 0.1664
            [rr_ratio] => 4
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.16915
            [stop_loss] => 0.1664
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1694
            [stop_loss] => 0.1664
            [rr_ratio] => 5
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.16965
            [stop_loss] => 0.1664
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1699
            [stop_loss] => 0.1664
            [rr_ratio] => 6
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.17015
            [stop_loss] => 0.1664
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1704
            [stop_loss] => 0.1664
            [rr_ratio] => 7
            [closed_at] => 2025-06-30 02:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)