Trade

sell - DOGE

Status
win
2025-05-25 15:56:40
8 minutes
PNL
0.41
Entry: 0.2208
Last: 0.21990000

Results

Status:
win
Trade Type:
sell
Prediction Score: -2.6509
Prediction 1 Accuracy
Weak Trade
0.59
Prediction 2 Accuracy
0 0.63
ML Trade Score: 70

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.0003910117618
Details
  1. score: 1.24
  2. 1H
  3. ema9 - 0.219745
  4. ema21 - 0.22122
  5. ema50 - 0.225323
  6. ema100 - 0.22931
  7. price_ema9_diff - 0.00484506
  8. ema9_ema21_diff - -0.00666866
  9. ema21_ema50_diff - -0.0182083
  10. price_ema100_diff - -0.0370718
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.44382
  14. kc_percentage - 0.468466
  15. kc_width_percentage - 0.0378136
  16. ¸
  17. 15m
  18. ema9 - 0.219686
  19. ema21 - 0.219329
  20. ema50 - 0.219826
  21. ema100 - 0.22131
  22. price_ema9_diff - 0.00511519
  23. ema9_ema21_diff - 0.0016254
  24. ema21_ema50_diff - -0.00226047
  25. price_ema100_diff - -0.00226031
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.608962
  29. kc_percentage - 0.922968
  30. kc_width_percentage - 0.0157652
  31. ¸
  32. 5m
  33. ema9 - 0.220018
  34. ema21 - 0.219681
  35. ema50 - 0.219293
  36. ema100 - 0.219086
  37. price_ema9_diff - 0.00359527
  38. ema9_ema21_diff - 0.00153405
  39. ema21_ema50_diff - 0.00177157
  40. price_ema100_diff - 0.00786505
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.719353
  44. kc_percentage - 1.23858
  45. kc_width_percentage - 0.00678374
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 107282
  50. 5m_price_ema100_diff: 0.00347704
  51. 5m_price: 107655
  52. 5m_correlation_with_coin: 0.818598
  53. btc_indicators
  54. 15m_ema100: 107676
  55. 15m_price_ema100_diff: -0.000196903
  56. 15m_price: 107655
  57. btc_indicators
  58. 1H_ema100: 108630
  59. 1H_price_ema100_diff: -0.00897519
  60. 1H_price: 107655
  61. ¸

Short Trade on DOGE

The 25 May 2025 at 15:56:40

With 13640 DOGE at 0.2208$ per unit.

Position size of 3012 $

Take profit at 0.2199 (0.41 %) and Stop Loss at 0.2214 (0.27 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 12.73 %

Symbol Start at Seach Score Trade Score Trades Count
SAND 2025-05-25 15:57:02 0.9776 50 1
ONDO 2025-05-25 15:57:18 0.9647 -10 3
ARB 2025-05-25 15:57:56 0.9651 50 1
AVAX 2025-05-25 16:01:14 0.9626 30 1
KAS 2025-05-25 15:50:43 0.9617 30 1
IO 2025-05-25 16:00:52 0.9536 30 2
AI16Z 2025-05-25 15:59:53 0.9547 -100 1
TAO 2025-05-25 15:50:58 0.9486 -100 1
FET 2025-05-25 15:57:41 0.9453 50 1
PEPE 2025-05-25 15:58:07 0.9445 50 1
SUI 2025-06-20 23:36:17 0.9438 60 1

📌 Time Data

Start at Closed at Duration
25 May 2025
15:56:40
25 May 2025
16:05:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2208 0.2214 0.2199 1.5 0.2088
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 0.2208
  • Stop Loss: 0.2214
  • Take Profit: 0.2199

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2214 - 0.2208 = 0.00060000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2208 - 0.2199 = 0.00089999999999998

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00089999999999998 / 0.00060000000000002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3012 100 13640 30.12
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 0.00060000000000002

Taille de position = 8 / 0.00060000000000002 = 13333.33

Taille de position USD = 13333.33 x 0.2208 = 2944

Donc, tu peux acheter 13333.33 avec un stoploss a 0.2214

Avec un position size USD de 2944$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00060000000000002 = 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 0.00089999999999998 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 2944
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.41 % 12 $
SL % Target SL $ Target
0.27 % 8.2 $
PNL PNL %
12 $ 0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2196
            [stop_loss] => 0.2214
            [rr_ratio] => 2
            [closed_at] => 2025-05-25 16:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2193
            [stop_loss] => 0.2214
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-25 16:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.219
            [stop_loss] => 0.2214
            [rr_ratio] => 3
            [closed_at] => 2025-05-25 16:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2187
            [stop_loss] => 0.2214
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-25 17:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2184
            [stop_loss] => 0.2214
            [rr_ratio] => 4
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.2181
            [stop_loss] => 0.2214
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2178
            [stop_loss] => 0.2214
            [rr_ratio] => 5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.2175
            [stop_loss] => 0.2214
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2172
            [stop_loss] => 0.2214
            [rr_ratio] => 6
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.2169
            [stop_loss] => 0.2214
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2166
            [stop_loss] => 0.2214
            [rr_ratio] => 7
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)