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Trade

sell - ARC

Status
win
2025-05-31 03:39:34
55 minutes
PNL
1.33
Entry: 0.0406
Last: 0.04006000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.9825
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
1 0.42
ML Trade Score: 60

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0002409947737
Details
  1. score: 1.16
  2. 1H
  3. ema9 - 0.0405238
  4. ema21 - 0.0422358
  5. ema50 - 0.0458257
  6. ema100 - 0.0491266
  7. price_ema9_diff - 0.00188031
  8. ema9_ema21_diff - -0.0405351
  9. ema21_ema50_diff - -0.0783392
  10. price_ema100_diff - -0.173565
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.330417
  14. kc_percentage - 0.18801
  15. kc_width_percentage - 0.117614
    16. ¸
  16. 15m
  17. ema9 - 0.0399429
  18. ema21 - 0.0399429
  19. ema50 - 0.0408785
  20. ema100 - 0.0422512
  21. price_ema9_diff - 0.0164507
  22. ema9_ema21_diff - -1.28351E-6
  23. ema21_ema50_diff - -0.022887
  24. price_ema100_diff - -0.0390816
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.570993
  28. kc_percentage - 0.837758
  29. kc_width_percentage - 0.0491978
    30. ¸
  30. 5m
  31. ema9 - 0.0401621
  32. ema21 - 0.0399608
  33. ema50 - 0.0398187
  34. ema100 - 0.0398946
  35. price_ema9_diff - 0.0109012
  36. ema9_ema21_diff - 0.00503696
  37. ema21_ema50_diff - 0.00356928
  38. price_ema100_diff - 0.0176814
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.695866
  42. kc_percentage - 1.15506
  43. kc_width_percentage - 0.0236101
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103707
  47. 5m_price_ema100_diff: -0.000267217
  48. 5m_price: 103680
  49. 5m_correlation_with_coin: 0.756962
  50. btc_indicators
  51. 15m_ema100: 104413
  52. 15m_price_ema100_diff: -0.00702829
  53. 15m_price: 103680
  54. btc_indicators
  55. 1H_ema100: 106489
  56. 1H_price_ema100_diff: -0.0263782
  57. 1H_price: 103680
    58. ¸

Short Trade on ARC

The 31 May 2025 at 03:39:34

With 22130 ARC at 0.0406$ per unit.

Position size of 898.5 $

Take profit at 0.04006 (1.3 %) and Stop Loss at 0.04096 (0.89 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -22.22 %

Symbol Start at Seach Score Trade Score Trades Count
TURBO 2025-05-31 03:35:57 0.9874 -100 1
MELANIA 2025-05-31 03:42:59 0.9769 40 2
BOME 2025-05-31 03:39:38 0.977 -100 2
1000BONK 2025-05-31 03:36:12 0.979 30 1
AI16Z 2025-05-31 03:45:32 0.9785 40 1
PEOPLE 2025-05-31 03:35:20 0.9742 30 1
NEIROCTO 2025-05-31 03:33:40 0.9712 -100 2
MEW 2025-05-31 03:37:36 0.9724 -100 1
DOGE 2025-07-04 18:47:34 0.9706 60 2

📌 Time Data

Start at Closed at Duration
31 May 2025
03:39:34		 31 May 2025
04:35:00		 55 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0406 0.04096 0.04006 1.5 0.03062
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 0.0406
  • Stop Loss: 0.04096
  • Take Profit: 0.04006

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04096 - 0.0406 = 0.00036000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0406 - 0.04006 = 0.00054

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00054 / 0.00036000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
898.5 100 22130 8.98
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 0.00036000000000001

Taille de position = 8 / 0.00036000000000001 = 22222.22

Taille de position USD = 22222.22 x 0.0406 = 902.22

Donc, tu peux acheter 22222.22 avec un stoploss a 0.04096

Avec un position size USD de 902.22$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 22222.22 x 0.00036000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 22222.22 x 0.00054 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 22222.22
  • Taille de position USD 902.22
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.89 % 8 $
PNL PNL %
12 $ 1.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.61576354679803 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.03988
            [stop_loss] => 0.04096
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 05:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0397
            [stop_loss] => 0.04096
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 06:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.03952
            [stop_loss] => 0.04096
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 06:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.03934
            [stop_loss] => 0.04096
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.03916
            [stop_loss] => 0.04096
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.03898
            [stop_loss] => 0.04096
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.0388
            [stop_loss] => 0.04096
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.03862
            [stop_loss] => 0.04096
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.03844
            [stop_loss] => 0.04096
            [rr_ratio] => 6
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.03826
            [stop_loss] => 0.04096
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.03808
            [stop_loss] => 0.04096
            [rr_ratio] => 7
            [closed_at] => 2025-05-31 08:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)