Trade

buy - PNUT

Status
win
2025-05-22 09:10:40
1 hour
PNL
2.06
Entry: 0.3594
Last: 0.36680000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1
Prediction 1 Accuracy
Strong Trade
0.55
Prediction 2 Accuracy
0 0.52
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.003265462808
Details
  1. score: 2.08
  2. 1H
  3. ema9 - 0.364877
  4. ema21 - 0.359361
  5. ema50 - 0.348785
  6. ema100 - 0.344045
  7. price_ema9_diff - -0.014929
  8. ema9_ema21_diff - 0.015348
  9. ema21_ema50_diff - 0.0303231
  10. price_ema100_diff - 0.0447167
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.517498
  14. kc_percentage - 0.49202
  15. kc_width_percentage - 0.153822
  16. ¸
  17. 15m
  18. ema9 - 0.367278
  19. ema21 - 0.368179
  20. ema50 - 0.365284
  21. ema100 - 0.360371
  22. price_ema9_diff - -0.0213706
  23. ema9_ema21_diff - -0.00244649
  24. ema21_ema50_diff - 0.00792568
  25. price_ema100_diff - -0.00261306
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.401188
  29. kc_percentage - 0.164451
  30. kc_width_percentage - 0.072802
  31. ¸
  32. 5m
  33. ema9 - 0.364562
  34. ema21 - 0.366965
  35. ema50 - 0.368384
  36. ema100 - 0.367989
  37. price_ema9_diff - -0.0140787
  38. ema9_ema21_diff - -0.00654719
  39. ema21_ema50_diff - -0.00385288
  40. price_ema100_diff - -0.023261
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.350875
  44. kc_percentage - -0.0752333
  45. kc_width_percentage - 0.035842
  46. ¸

Long Trade on PNUT

The 22 May 2025 at 09:10:40

With 587 PNUT at 0.3594$ per unit.

Take profit at 0.3668 (2.1 %) and Stop Loss at 0.3545 (1.4 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -36.15 %

Symbol Start at Seach Score Trade Score Trades Count
APE 2025-05-22 09:13:31 0.8397 40 2
XLM 2025-05-22 09:07:50 0.8374 40 1
TURBO 2025-05-22 09:01:43 0.8305 -100 1
POPCAT 2025-05-22 09:10:07 0.8273 30 1
APT 2025-05-26 06:06:44 0.8258 -100 1
XAI 2025-04-21 13:21:22 0.8227 -100 1
OP 2025-05-22 09:08:32 0.8199 40 1
KAS 2025-05-22 14:15:18 0.8197 -100 1
NEIROCTO 2025-05-18 16:02:34 0.8188 40 1
NOT 2025-05-18 15:58:11 0.8158 -100 1
HIFI 2025-05-16 20:25:37 0.8153 -100 1
NEAR 2025-05-22 09:08:08 0.8153 40 1
GMT 2025-04-20 00:40:44 0.8135 -100 1

📌 Time Data

Start at Closed at Duration
22 May 2025
09:10:40
22 May 2025
10:30:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3594 0.3545 0.3668 1.5 0.2628
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 0.3594
  • Stop Loss: 0.3545
  • Take Profit: 0.3668

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3545 - 0.3594 = -0.0049

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3594 - 0.3668 = -0.0074

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0074 / -0.0049 = 1.5102

📌 Position Size

Amount Margin Quantity Leverage
587 100 1633 5.87
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 -0.0049

Taille de position = 8 / -0.0049 = -1632.65

Taille de position USD = -1632.65 x 0.3594 = -586.77

Donc, tu peux acheter -1632.65 avec un stoploss a 0.3545

Avec un position size USD de -586.77$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1632.65 x -0.0049 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1632.65 x -0.0074 = 12.08

Si Take Profit atteint, tu gagneras 12.08$

Résumé

  • Taille de position -1632.65
  • Taille de position USD -586.77
  • Perte potentielle 8
  • Gain potentiel 12.08
  • Risk-Reward Ratio 1.5102

📌 Peformances

TP % Target TP $ Target
2.1 % 12 $
SL % Target SL $ Target
1.4 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.06 -0.0055648302726822

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3692
            [stop_loss] => 0.3545
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 12:30:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.37165
            [stop_loss] => 0.3545
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 12:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.3741
            [stop_loss] => 0.3545
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 12:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.37655
            [stop_loss] => 0.3545
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 12:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.379
            [stop_loss] => 0.3545
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 12:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.38145
            [stop_loss] => 0.3545
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 12:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.3839
            [stop_loss] => 0.3545
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 12:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)