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Trade

sell - NEIROETH

Status
win
2025-05-31 00:54:59
1 hour
PNL
1.91
Entry: 0.07556
Last: 0.07412000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.0635
Prediction 1 Accuracy
Weak Trade
0.6
Prediction 2 Accuracy
0 0.41
ML Trade Score: 60

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0006389448603
Details
  1. score: 1.06
  2. 1H
  3. ema9 - 0.0752837
  4. ema21 - 0.0777735
  5. ema50 - 0.0803982
  6. ema100 - 0.0812302
  7. price_ema9_diff - 0.00366946
  8. ema9_ema21_diff - -0.0320134
  9. ema21_ema50_diff - -0.0326463
  10. price_ema100_diff - -0.0698044
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.41249
  14. kc_percentage - 0.35422
  15. kc_width_percentage - 0.185857
    16. ¸
  16. 15m
  17. ema9 - 0.0741845
  18. ema21 - 0.0743951
  19. ema50 - 0.0760918
  20. ema100 - 0.078153
  21. price_ema9_diff - 0.018541
  22. ema9_ema21_diff - -0.00283093
  23. ema21_ema50_diff - -0.0222974
  24. price_ema100_diff - -0.0331788
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.54426
  28. kc_percentage - 0.745136
  29. kc_width_percentage - 0.0653575
    30. ¸
  30. 5m
  31. ema9 - 0.074648
  32. ema21 - 0.0740802
  33. ema50 - 0.0741095
  34. ema100 - 0.0748787
  35. price_ema9_diff - 0.012216
  36. ema9_ema21_diff - 0.00766593
  37. ema21_ema50_diff - -0.000395732
  38. price_ema100_diff - 0.00909843
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.66326
  42. kc_percentage - 1.05659
  43. kc_width_percentage - 0.0346433
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103842
  47. 5m_price_ema100_diff: -0.0013861
  48. 5m_price: 103698
  49. 5m_correlation_with_coin: 0.323419
  50. btc_indicators
  51. 15m_ema100: 104627
  52. 15m_price_ema100_diff: -0.00887553
  53. 15m_price: 103698
  54. btc_indicators
  55. 1H_ema100: 106585
  56. 1H_price_ema100_diff: -0.0270847
  57. 1H_price: 103698
    58. ¸

Short Trade on NEIROETH

The 31 May 2025 at 00:54:59

With 8347 NEIROETH at 0.07556$ per unit.

Position size of 630.7 $

Take profit at 0.07412 (1.9 %) and Stop Loss at 0.07652 (1.3 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -13.18 %

Symbol Start at Seach Score Trade Score Trades Count
FLM 2025-07-06 02:46:53 0.9053 30 1
FLM 2025-06-11 19:30:04 0.8899 -30 2
VIC 2025-07-13 01:10:02 0.8942 -100 1
BNB 2025-05-23 21:34:07 0.8897 30 1
GRASS 2025-05-23 21:36:38 0.8895 40 1
TAIKO 2025-06-17 09:24:17 0.8871 -100 1
AVAX 2025-06-17 09:31:01 0.8869 40 1
NEAR 2025-06-17 09:31:18 0.8863 50 1
GRIFFAIN 2025-05-23 21:28:44 0.8822 30 1
BGB 2025-05-25 18:17:45 0.8815 -35 2
IO 2025-06-17 09:24:04 0.8792 -100 1

📌 Time Data

Start at Closed at Duration
31 May 2025
00:54:59		 31 May 2025
02:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07556 0.07652 0.07412 1.5 0.1368
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 0.07556
  • Stop Loss: 0.07652
  • Take Profit: 0.07412

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07652 - 0.07556 = 0.00096

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07556 - 0.07412 = 0.00144

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00144 / 0.00096 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
630.7 100 8347 6.31
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 0.00096

Taille de position = 8 / 0.00096 = 8333.33

Taille de position USD = 8333.33 x 0.07556 = 629.67

Donc, tu peux acheter 8333.33 avec un stoploss a 0.07652

Avec un position size USD de 629.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8333.33 x 0.00096 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8333.33 x 0.00144 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 8333.33
  • Taille de position USD 629.67
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.9 % 12 $
SL % Target SL $ Target
1.3 % 8 $
PNL PNL %
12 $ 1.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1514028586554 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.07364
            [stop_loss] => 0.07652
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 02:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.07316
            [stop_loss] => 0.07652
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 02:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.07268
            [stop_loss] => 0.07652
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 02:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0722
            [stop_loss] => 0.07652
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 04:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.07172
            [stop_loss] => 0.07652
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 04:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.07124
            [stop_loss] => 0.07652
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 04:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.07076
            [stop_loss] => 0.07652
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 04:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.07028
            [stop_loss] => 0.07652
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-31 04:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.0698
            [stop_loss] => 0.07652
            [rr_ratio] => 6
            [closed_at] => 2025-05-31 04:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.06932
            [stop_loss] => 0.07652
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-31 04:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.06884
            [stop_loss] => 0.07652
            [rr_ratio] => 7
            [closed_at] => 2025-05-31 04:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)