Trade

buy - WIF

Status
win
2025-05-02 18:44:14
55 minutes
PNL
1.20
Entry: 0.6359
Last: 0.64350000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.0944
Prediction 1 Accuracy
Weak Trade
n/a
Prediction 2 Accuracy
0 n/a
ML Trade Score: 50

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.003357866333
Details
  1. score: 2
  2. 1H
  3. ema9 - 0.634266
  4. ema21 - 0.627727
  5. ema50 - 0.62364
  6. price_ema9_diff - 0.00260188
  7. ema9_ema21_diff - 0.0104165
  8. ema21_ema50_diff - 0.00655376
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - True
  11. rsi - 0.544827
  12. kc_percentage - 0.639741
  13. kc_width_percentage - 0.0889087
  14. ¸
  15. 15m
  16. ema9 - 0.64248
  17. ema21 - 0.640038
  18. ema50 - 0.631647
  19. price_ema9_diff - -0.0102807
  20. ema9_ema21_diff - 0.00381464
  21. ema21_ema50_diff - 0.0132847
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.478155
  25. kc_percentage - 0.33748
  26. kc_width_percentage - 0.043362
  27. ¸
  28. 5m
  29. ema9 - 0.639729
  30. ema21 - 0.642278
  31. ema50 - 0.641465
  32. price_ema9_diff - -0.00596294
  33. ema9_ema21_diff - -0.0039685
  34. ema21_ema50_diff - 0.00126708
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.368168
  38. kc_percentage - -0.00208881
  39. kc_width_percentage - 0.0196608
  40. ¸

Long Trade on WIF

The 02 May 2025 at 18:44:14

With 1010 WIF at 0.6359$ per unit.

Take profit at 0.6435 (1.2 %) and Stop Loss at 0.6309 (0.79 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -18.33 %

Symbol Start at Seach Score Trade Score Trades Count
VIRTUAL 2025-05-23 03:55:59 0.9599 33.33 3
EOS 2025-05-10 07:02:10 0.9562 -100 5
1000BONK 2025-03-26 08:34:31 0.9568 30 1
PNUT 2025-06-07 05:38:10 0.954 -13.33 3
GOAT 2025-05-23 00:39:43 0.9522 -100 1
WLD 2025-05-22 17:28:44 0.9518 40 1

📌 Time Data

Start at Closed at Duration
02 May 2025
18:44:14
02 May 2025
19:40:00
55 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6359 0.6309 0.6435 1.5 0.8713
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 0.6359
  • Stop Loss: 0.6309
  • Take Profit: 0.6435

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6309 - 0.6359 = -0.005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6359 - 0.6435 = -0.0075999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0075999999999999 / -0.005 = 1.52

📌 Position Size

Amount Margin Quantity Leverage
1010 100 1588 10.10
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 -0.005

Taille de position = 8 / -0.005 = -1600

Taille de position USD = -1600 x 0.6359 = -1017.44

Donc, tu peux acheter -1600 avec un stoploss a 0.6309

Avec un position size USD de -1017.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1600 x -0.005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1600 x -0.0075999999999999 = 12.16

Si Take Profit atteint, tu gagneras 12.16$

Résumé

  • Taille de position -1600
  • Taille de position USD -1017.44
  • Perte potentielle 8
  • Gain potentiel 12.16
  • Risk-Reward Ratio 1.52

📌 Peformances

TP % Target TP $ Target
1.2 % 12 $
SL % Target SL $ Target
0.79 % 7.9 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.20 -0.094354458248159

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.6459
            [stop_loss] => 0.6309
            [rr_ratio] => 2
            [closed_at] => 2025-05-02 19:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.6484
            [stop_loss] => 0.6309
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-02 20:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6509
            [stop_loss] => 0.6309
            [rr_ratio] => 3
            [closed_at] => 2025-05-02 21:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.6534
            [stop_loss] => 0.6309
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-02 21:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.6559
            [stop_loss] => 0.6309
            [rr_ratio] => 4
            [closed_at] => 2025-05-02 21:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.6584
            [stop_loss] => 0.6309
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-02 21:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.6609
            [stop_loss] => 0.6309
            [rr_ratio] => 5
            [closed_at] => 2025-05-02 21:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)