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Trade

sell - DOGE

Status
win
2025-07-04 23:39:46
30 minutes
PNL
0.37
Entry: 0.1643
Last: 0.16370000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.8917
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
0 0.48
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.29
  4. atr: 0.0002885993972
Details
  1. score: 1.29
  2. 1H
  3. ema9 - 0.163444
  4. ema21 - 0.164556
  5. ema50 - 0.166216
  6. ema100 - 0.166278
  7. price_ema9_diff - 0.0052975
  8. ema9_ema21_diff - -0.00675772
  9. ema21_ema50_diff - -0.00998693
  10. price_ema100_diff - -0.0118414
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.45669
  14. kc_percentage - 0.474637
  15. kc_width_percentage - 0.0333129
  16. volume_ema_diff - -0.0807543
  17. volume_ema1 - 11138760.734641
  18. volume_ema2 - 12117283.943343
    19. ¸
  19. 15m
  20. ema9 - 0.163373
  21. ema21 - 0.163178
  22. ema50 - 0.163512
  23. ema100 - 0.164861
  24. price_ema9_diff - 0.0057292
  25. ema9_ema21_diff - 0.00119737
  26. ema21_ema50_diff - -0.00204341
  27. price_ema100_diff - -0.00334679
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.619266
  31. kc_percentage - 1.02885
  32. kc_width_percentage - 0.0129395
  33. volume_ema_diff - 0.136137
  34. volume_ema1 - 3076926.0765402
  35. volume_ema2 - 2708233.3547278
    36. ¸
  36. 5m
  37. ema9 - 0.163733
  38. ema21 - 0.163377
  39. ema50 - 0.163155
  40. ema100 - 0.162875
  41. price_ema9_diff - 0.00352381
  42. ema9_ema21_diff - 0.00217746
  43. ema21_ema50_diff - 0.00135794
  44. price_ema100_diff - 0.00880766
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.730831
  48. kc_percentage - 1.28813
  49. kc_width_percentage - 0.00707826
  50. volume_ema_diff - 0.232371
  51. volume_ema1 - 1374954.873134
  52. volume_ema2 - 1115698.2755264
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 107872
  56. 5m_price_ema100_diff: 0.00217679
  57. 5m_price: 108106
  58. 5m_correlation_with_coin: 0.688365
  59. btc_indicators
  60. 15m_ema100: 108225
  61. 15m_price_ema100_diff: -0.000232985
  62. 15m_price: 108199
  63. btc_indicators
  64. 1H_ema100: 108193
  65. 1H_price_ema100_diff: -0.000795838
  66. 1H_price: 108106
    67. ¸

Short Trade on DOGE

The 04 Jul 2025 at 23:39:46

With 18480 DOGE at 0.1643$ per unit.

Position size of 3036 $

Take profit at 0.1637 (0.37 %) and Stop Loss at 0.1647 (0.24 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -63.89 %

Symbol Start at Seach Score Trade Score Trades Count
WLD 2025-07-04 23:23:15 0.9578 -35 2
CHILLGUY 2025-05-31 08:37:39 0.9518 -100 2
1000000MOG 2025-07-04 23:32:35 0.9546 30 1
ONDO 2025-05-31 08:15:23 0.9527 -100 1
LTC 2025-05-31 08:24:15 0.951 -100 2
FET 2025-05-31 08:53:34 0.95 -100 1
KAS 2025-05-31 08:15:36 0.9489 -100 1
RENDER 2025-05-31 08:16:44 0.9485 30 1
DOT 2025-05-31 08:20:09 0.9481 -100 1

📌 Time Data

Start at Closed at Duration
04 Jul 2025
23:39:46		 05 Jul 2025
00:10:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1643 0.1647 0.1637 1.5 0.1642
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 0.1643
  • Stop Loss: 0.1647
  • Take Profit: 0.1637

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1647 - 0.1643 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1643 - 0.1637 = 0.00059999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00059999999999999 / 0.00040000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3036 100 18480 30.36
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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.1643 = 3286

Donc, tu peux acheter 20000 avec un stoploss a 0.1647

Avec un position size USD de 3286$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00059999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 20000
  • Taille de position USD 3286
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.37 % 11 $
SL % Target SL $ Target
0.24 % 7.4 $
PNL PNL %
11 $ 0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1948 % 80 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1635
            [stop_loss] => 0.1647
            [rr_ratio] => 2
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1633
            [stop_loss] => 0.1647
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1631
            [stop_loss] => 0.1647
            [rr_ratio] => 3
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1629
            [stop_loss] => 0.1647
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1627
            [stop_loss] => 0.1647
            [rr_ratio] => 4
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1625
            [stop_loss] => 0.1647
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1623
            [stop_loss] => 0.1647
            [rr_ratio] => 5
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1621
            [stop_loss] => 0.1647
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1619
            [stop_loss] => 0.1647
            [rr_ratio] => 6
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1617
            [stop_loss] => 0.1647
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1615
            [stop_loss] => 0.1647
            [rr_ratio] => 7
            [closed_at] => 2025-07-05 00:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)