Trade

sell - NEIROCTO

Status
win
2025-05-31 04:09:43
5 minutes
PNL
1.27
Entry: 0.0004254
Last: 0.00042000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.06
Prediction 1 Accuracy
Weak Trade
0.6
Prediction 2 Accuracy
0 0.48
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.42
  4. atr: 2.402957451E-6
Details
  1. score: 1.42
  2. 1H: ema9 - 0.000413002
  3. 1H: ema21 - 0.000427877
  4. 1H: ema50 - 0.000460054
  5. 1H: ema100 - 0.00048516
  6. 1H: price_ema9_diff - 0.0300191
  7. 1H: ema9_ema21_diff - -0.0347667
  8. 1H: ema21_ema50_diff - -0.0699401
  9. 1H: price_ema100_diff - -0.123177
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.439169
  13. 1H: kc_percentage - 0.478725
  14. 1H: kc_width_percentage - 0.120208
  15. ¸
  16. 15m: ema9 - 0.000414646
  17. 15m: ema21 - 0.000410086
  18. 15m: ema50 - 0.000415106
  19. 15m: ema100 - 0.000427902
  20. 15m: price_ema9_diff - 0.0259344
  21. 15m: ema9_ema21_diff - 0.0111195
  22. 15m: ema21_ema50_diff - -0.012093
  23. 15m: price_ema100_diff - -0.00584903
  24. 15m: all_emas_in_trend - False
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.703133
  27. 15m: kc_percentage - 1.27189
  28. 15m: kc_width_percentage - 0.0463034
  29. ¸
  30. 5m: ema9 - 0.000420835
  31. 5m: ema21 - 0.0004158
  32. 5m: ema50 - 0.000410077
  33. 5m: ema100 - 0.000406815
  34. 5m: price_ema9_diff - 0.0108467
  35. 5m: ema9_ema21_diff - 0.0121097
  36. 5m: ema21_ema50_diff - 0.0139543
  37. 5m: price_ema100_diff - 0.0456821
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.791303
  41. 5m: kc_percentage - 1.41524
  42. 5m: kc_width_percentage - 0.0238342
  43. ¸

Short Trade on NEIROCTO

The 31 May 2025 at 04:09:43

With 944.2 NEIROCTO at 0.0004254$ per unit.

Take profit at 0.00042 (1.3 %) and Stop Loss at 0.000429 (0.85 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 15 %

Symbol Start at Seach Score Trade Score Trades Count
TURBO 2025-05-31 04:05:05 0.9799 35 2
BABY 2025-05-31 03:51:49 0.9768 40 2
PEOPLE 2025-05-31 04:01:52 0.9795 30 1
WLD 2025-05-31 04:05:23 0.9758 -100 2
MEW 2025-05-31 04:09:05 0.9786 30 1
BOME 2025-05-31 04:03:04 0.9772 40 1
LISTA 2025-05-31 03:48:48 0.9741 30 2

📌 Time Data

Start at Closed at Duration
31 May 2025
04:09:43
31 May 2025
04:15:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0004254 0.000429 0.00042 1.5 0.0004415
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 0.0004254
  • Stop Loss: 0.000429
  • Take Profit: 0.00042

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.000429 - 0.0004254 = 3.6E-6

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0004254 - 0.00042 = 5.4E-6

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 5.4E-6 / 3.6E-6 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
944.2 100 2219000 9.44
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 3.6E-6

Taille de position = 8 / 3.6E-6 = 2222222.22

Taille de position USD = 2222222.22 x 0.0004254 = 945.33

Donc, tu peux acheter 2222222.22 avec un stoploss a 0.000429

Avec un position size USD de 945.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2222222.22 x 3.6E-6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2222222.22 x 5.4E-6 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2222222.22
  • Taille de position USD 945.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.85 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.27 -0.56417489421721

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0004182
            [stop_loss] => 0.000429
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 04:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0004164
            [stop_loss] => 0.000429
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 04:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.0004146
            [stop_loss] => 0.000429
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 04:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.0004128
            [stop_loss] => 0.000429
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 04:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.000411
            [stop_loss] => 0.000429
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 04:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.0004092
            [stop_loss] => 0.000429
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 04:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.0004074
            [stop_loss] => 0.000429
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 04:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)