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Trade

sell - NEIROETH

Status
win
2025-05-31 04:09:29
5 minutes
PNL
1.77
Entry: 0.07665
Last: 0.07529000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.3846
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
0 0.52
ML Trade Score: 90

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.0006059072507
Details
  1. score: 1.19
  2. 1H: ema9 - 0.0751586
  3. 1H: ema21 - 0.0771648
  4. 1H: ema50 - 0.0798962
  5. 1H: ema100 - 0.0810768
  6. 1H: price_ema9_diff - 0.0198423
  7. 1H: ema9_ema21_diff - -0.0259989
  8. 1H: ema21_ema50_diff - -0.0341864
  9. 1H: price_ema100_diff - -0.0546002
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.469167
  13. 1H: kc_percentage - 0.472813
  14. 1H: kc_width_percentage - 0.171932
    15. ¸
  15. 15m: ema9 - 0.0749943
  16. 15m: ema21 - 0.0746732
  17. 15m: ema50 - 0.0755614
  18. 15m: ema100 - 0.0775891
  19. 15m: price_ema9_diff - 0.022077
  20. 15m: ema9_ema21_diff - 0.00430033
  21. 15m: ema21_ema50_diff - -0.0117552
  22. 15m: price_ema100_diff - -0.0121044
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.606119
  26. 15m: kc_percentage - 0.930889
  27. 15m: kc_width_percentage - 0.0598714
    28. ¸
  28. 5m: ema9 - 0.0756503
  29. 5m: ema21 - 0.0749063
  30. 5m: ema50 - 0.0745226
  31. 5m: ema100 - 0.0745717
  32. 5m: price_ema9_diff - 0.0132146
  33. 5m: ema9_ema21_diff - 0.00993146
  34. 5m: ema21_ema50_diff - 0.00514957
  35. 5m: price_ema100_diff - 0.027869
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.69601
  39. 5m: kc_percentage - 1.19101
  40. 5m: kc_width_percentage - 0.0322846
    41. ¸

Short Trade on NEIROETH

The 31 May 2025 at 04:09:29

With 674.7 NEIROETH at 0.07665$ per unit.

Take profit at 0.07529 (1.8 %) and Stop Loss at 0.07756 (1.2 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -21.67 %

Symbol Start at Seach Score Trade Score Trades Count
VIRTUAL 2025-05-05 18:11:16 0.6804 -100 2
VIRTUAL 2025-05-24 00:44:49 0.6756 40 1
XRP 2025-05-24 00:50:18 0.6633 40 1
TRX 2025-05-16 13:30:24 0.6592 30 1
LAYER 2025-03-28 04:04:35 0.6506 -100 1
AAVE 2025-05-20 14:30:34 0.6437 -100 1
XLM 2025-04-28 18:07:14 0.6431 30 1
LTC 2025-04-28 18:06:42 0.6431 -100 1
BTC 2025-05-24 00:49:59 0.6408 30 1
1000SATS 2025-05-15 11:50:58 0.6387 -100 1
OP 2025-05-24 00:42:10 0.6386 30 1
WCT 2025-06-05 12:02:48 0.6378 40 1

📌 Time Data

Start at Closed at Duration
31 May 2025
04:09:29		 31 May 2025
04:15:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07665 0.07756 0.07529 1.5 0.08858
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 0.07665
  • Stop Loss: 0.07756
  • Take Profit: 0.07529

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07756 - 0.07665 = 0.00091000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07665 - 0.07529 = 0.00136

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00136 / 0.00091000000000001 = 1.4945

📌 Position Size

Amount Margin Quantity Leverage
674.7 100 8802 6.75
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 0.00091000000000001

Taille de position = 8 / 0.00091000000000001 = 8791.21

Taille de position USD = 8791.21 x 0.07665 = 673.85

Donc, tu peux acheter 8791.21 avec un stoploss a 0.07756

Avec un position size USD de 673.85$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8791.21 x 0.00091000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8791.21 x 0.00136 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position 8791.21
  • Taille de position USD 673.85
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4945

📌 Peformances

TP % Target TP $ Target
1.8 % 12 $
SL % Target SL $ Target
1.2 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.77 -0.19569471624266

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.07483
            [stop_loss] => 0.07756
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 04:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.074375
            [stop_loss] => 0.07756
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 04:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.07392
            [stop_loss] => 0.07756
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 05:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.073465
            [stop_loss] => 0.07756
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 07:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.07301
            [stop_loss] => 0.07756
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 07:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.072555
            [stop_loss] => 0.07756
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 08:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)