Trade

sell - WIF

Status
win
2025-04-28 13:50:00
20 minutes
PNL
1.46
Entry: 0.6181
Last: 0.60910000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 50

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.00401930548
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 0.624414
  4. ema21 - 0.629332
  5. ema50 - 0.62976
  6. price_ema9_diff - -0.0100335
  7. ema9_ema21_diff - -0.00781466
  8. ema21_ema50_diff - -0.000679589
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - True
  11. rsi - 0.442249
  12. kc_percentage - 0.329642
  13. kc_width_percentage - 0.10508
  14. ¸
  15. 15m
  16. ema9 - 0.61094
  17. ema21 - 0.618708
  18. ema50 - 0.627985
  19. price_ema9_diff - 0.0115717
  20. ema9_ema21_diff - -0.012555
  21. ema21_ema50_diff - -0.0147724
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.46658
  25. kc_percentage - 0.501349
  26. kc_width_percentage - 0.050442
  27. ¸
  28. 5m
  29. ema9 - 0.610705
  30. ema21 - 0.609144
  31. ema50 - 0.616191
  32. price_ema9_diff - 0.0121391
  33. ema9_ema21_diff - 0.00256205
  34. ema21_ema50_diff - -0.0114354
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.615458
  38. kc_percentage - 1.06881
  39. kc_width_percentage - 0.0256494
  40. ¸

Short Trade on WIF

The 28 Apr 2025 at 13:50:00

With 1327 WIF at 0.6181$ per unit.

Position size of 820.2 $

Take profit at 0.6091 (1.5 %) and Stop Loss at 0.6241 (0.97 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -44.52 %

Symbol Start at Seach Score Trade Score Trades Count
ENS 2025-04-28 13:59:22 0.9584 -100 1
PEPE 2025-04-28 13:57:25 0.9513 30 2
S 2025-04-28 14:01:43 0.941 -56.67 3
LTC 2025-04-28 13:50:56 0.945 -35 2
SHIB 2025-04-28 13:56:38 0.935 -100 4
LDO 2025-05-30 14:19:08 0.9194 50 1
MOVE 2025-04-28 13:45:44 0.9116 -100 1

📌 Time Data

Start at Closed at Duration
28 Apr 2025
13:50:00
28 Apr 2025
14:10:00
20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6181 0.6241 0.6091 1.5 0.8547
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 0.6181
  • Stop Loss: 0.6241
  • Take Profit: 0.6091

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6241 - 0.6181 = 0.006

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6181 - 0.6091 = 0.009

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.009 / 0.006 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
820.2 100 1327 8.20
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 0.006

Taille de position = 8 / 0.006 = 1333.33

Taille de position USD = 1333.33 x 0.6181 = 824.13

Donc, tu peux acheter 1333.33 avec un stoploss a 0.6241

Avec un position size USD de 824.13$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1333.33 x 0.006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1333.33 x 0.009 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1333.33
  • Taille de position USD 824.13
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.5 % 12 $
SL % Target SL $ Target
0.97 % 8 $
PNL PNL %
12 $ 1.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.27503640187672 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.6061
            [stop_loss] => 0.6241
            [rr_ratio] => 2
            [closed_at] => 2025-04-28 14:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.6031
            [stop_loss] => 0.6241
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-28 14:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6001
            [stop_loss] => 0.6241
            [rr_ratio] => 3
            [closed_at] => 2025-04-28 15:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.5971
            [stop_loss] => 0.6241
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-28 15:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.5941
            [stop_loss] => 0.6241
            [rr_ratio] => 4
            [closed_at] => 2025-04-28 15:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.5911
            [stop_loss] => 0.6241
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-28 15:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.5881
            [stop_loss] => 0.6241
            [rr_ratio] => 5
            [closed_at] => 2025-04-28 15:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.5851
            [stop_loss] => 0.6241
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-28 15:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.5821
            [stop_loss] => 0.6241
            [rr_ratio] => 6
            [closed_at] => 2025-04-28 15:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.5791
            [stop_loss] => 0.6241
            [rr_ratio] => 6.5
            [closed_at] => 2025-04-28 15:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.5761
            [stop_loss] => 0.6241
            [rr_ratio] => 7
            [closed_at] => 2025-04-28 15:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)