Trade

buy - SHIB

Status
win
2025-05-10 07:42:29
2 hours
PNL
1.34
Entry: 1.565E-5
Last: 0.00001586

Results

Status:
win
Trade Type:
buy
Prediction Score: -6.9601
Prediction 1 Accuracy
Weak Trade
n/a
Prediction 2 Accuracy
0 n/a
ML Trade Score: 110

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 9.139027975E-8
Details
  1. score: 2
  2. 1H
  3. ema9 - 1.56395E-5
  4. ema21 - 1.53639E-5
  5. ema50 - 1.47845E-5
  6. price_ema9_diff - 0.000677341
  7. ema9_ema21_diff - 0.0179425
  8. ema21_ema50_diff - 0.0391862
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - True
  11. rsi - 0.59196
  12. kc_percentage - 0.696043
  13. kc_width_percentage - 0.0862075
  14. ¸
  15. 15m
  16. ema9 - 1.58129E-5
  17. ema21 - 1.57571E-5
  18. ema50 - 1.55519E-5
  19. price_ema9_diff - -0.0103394
  20. ema9_ema21_diff - 0.00353641
  21. ema21_ema50_diff - 0.0131952
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.476502
  25. kc_percentage - 0.337992
  26. kc_width_percentage - 0.0454068
  27. ¸
  28. 5m
  29. ema9 - 1.57705E-5
  30. ema21 - 1.5829E-5
  31. ema50 - 1.5806E-5
  32. price_ema9_diff - -0.00761628
  33. ema9_ema21_diff - -0.00369319
  34. ema21_ema50_diff - 0.00145123
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.353773
  38. kc_percentage - -0.00341907
  39. kc_width_percentage - 0.0224361
  40. ¸

Long Trade on SHIB

The 10 May 2025 at 07:42:29

With 58360000 SHIB at 1.565E-5$ per unit.

Position size of 913.3 $

Take profit at 1.586E-5 (1.3 %) and Stop Loss at 1.551E-5 (0.89 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -31.88 %

Symbol Start at Seach Score Trade Score Trades Count
DOGE 2025-05-10 07:41:49 0.9788 30 1
FLOKI 2025-05-10 07:38:43 0.9681 -35 2
HBAR 2025-05-10 07:45:45 0.9633 30 2
LISTA 2025-05-22 04:38:53 0.9584 -100 2
AVAAI 2025-07-05 08:28:59 0.9576 -10 3
HIPPO 2025-06-23 21:24:44 0.9584 -100 1
ONDO 2025-04-09 19:00:50 0.9575 -100 2
EPT 2025-05-08 03:50:21 0.9547 30 1

📌 Time Data

Start at Closed at Duration
10 May 2025
07:42:29
10 May 2025
09:45:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.565E-5 1.551E-5 1.586E-5 1.5 1.144E-5
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 1.565E-5
  • Stop Loss: 1.551E-5
  • Take Profit: 1.586E-5

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.551E-5 - 1.565E-5 = -1.4E-7

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.565E-5 - 1.586E-5 = -2.1E-7

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.1E-7 / -1.4E-7 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
913.3 100 58360000 9.13
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 -1.4E-7

Taille de position = 8 / -1.4E-7 = -57142857.14

Taille de position USD = -57142857.14 x 1.565E-5 = -894.29

Donc, tu peux acheter -57142857.14 avec un stoploss a 1.551E-5

Avec un position size USD de -894.29$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -57142857.14 x -1.4E-7 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -57142857.14 x -2.1E-7 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -57142857.14
  • Taille de position USD -894.29
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.89 % 8.2 $
PNL PNL %
12 $ 1.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.51118210862621 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.593E-5
            [stop_loss] => 1.551E-5
            [rr_ratio] => 2
            [closed_at] => 2025-05-10 12:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.6E-5
            [stop_loss] => 1.551E-5
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-10 12:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.607E-5
            [stop_loss] => 1.551E-5
            [rr_ratio] => 3
            [closed_at] => 2025-05-10 13:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.614E-5
            [stop_loss] => 1.551E-5
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-10 13:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.621E-5
            [stop_loss] => 1.551E-5
            [rr_ratio] => 4
            [closed_at] => 2025-05-10 13:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.628E-5
            [stop_loss] => 1.551E-5
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-10 13:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.635E-5
            [stop_loss] => 1.551E-5
            [rr_ratio] => 5
            [closed_at] => 2025-05-10 13:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.642E-5
            [stop_loss] => 1.551E-5
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-10 13:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)