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Trade

buy - BNB

Status
win
2025-04-09 23:34:04
56 seconds
PNL
0.40
Entry: 572.4
Last: 574.70000000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
Weak Trade
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 130

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.31
  4. atr: 1.061541975
Details
  1. score: 2.31
  2. 1H
  3. ema9 - 576.568
  4. ema21 - 571.225
  5. ema50 - 565.216
  6. price_ema9_diff - -0.00736752
  7. ema9_ema21_diff - 0.00935347
  8. ema21_ema50_diff - 0.0106306
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.541507
  12. kc_percentage - 0.535772
  13. kc_width_percentage - 0.0352663
    14. ¸
  14. 15m
  15. ema9 - 575.717
  16. ema21 - 577.352
  17. ema50 - 574.845
  18. price_ema9_diff - -0.00581613
  19. ema9_ema21_diff - -0.00283152
  20. ema21_ema50_diff - 0.00436243
  21. all_emas_in_trend - False
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.34065
  24. kc_percentage - -0.132967
  25. kc_width_percentage - 0.0136691
    26. ¸
  26. 5m
  27. ema9 - 574.389
  28. ema21 - 576.045
  29. ema50 - 577.778
  30. price_ema9_diff - -0.0035237
  31. ema9_ema21_diff - -0.00287452
  32. ema21_ema50_diff - -0.00299956
  33. all_emas_in_trend - True
  34. all_emas_and_price_in_trend - True
  35. rsi - 0.238721
  36. kc_percentage - -0.308748
  37. kc_width_percentage - 0.00776184
    38. ¸

Long Trade on BNB

The 09 Apr 2025 at 23:34:04

With 5.024 BNB at 572.4$ per unit.

Position size of 2876 $

Take profit at 574.7 (0.4 %) and Stop Loss at 570.8 (0.28 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: 78.34 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-04-09 23:33:21 0.9896 90 5
SOL 2025-04-09 23:33:41 0.9845 66.67 3

📌 Time Data

Start at Closed at Duration
09 Apr 2025
23:34:04		 09 Apr 2025
23:35:00		 56 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
572.4 570.8 574.7 1.4 775.4
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 572.4
  • Stop Loss: 570.8
  • Take Profit: 574.7

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 570.8 - 572.4 = -1.6

  • Récompense (distance jusqu'au take profit):

    E - TP = 572.4 - 574.7 = -2.3000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.3000000000001 / -1.6 = 1.4375

📌 Position Size

Amount Margin Quantity Leverage
2876 100 5.024 28.76
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 -1.6

Taille de position = 8 / -1.6 = -5

Taille de position USD = -5 x 572.4 = -2862

Donc, tu peux acheter -5 avec un stoploss a 570.8

Avec un position size USD de -2862$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5 x -1.6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5 x -2.3000000000001 = 11.5

Si Take Profit atteint, tu gagneras 11.5$

Résumé

  • Taille de position -5
  • Taille de position USD -2862
  • Perte potentielle 8
  • Gain potentiel 11.5
  • Risk-Reward Ratio 1.4375

📌 Peformances

TP % Target TP $ Target
0.4 % 12 $
SL % Target SL $ Target
0.28 % 8 $
PNL PNL %
12 $ 0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 575.6
            [stop_loss] => 570.8
            [rr_ratio] => 2
            [closed_at] => 2025-04-10 00:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 576.4
            [stop_loss] => 570.8
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-10 00:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 577.2
            [stop_loss] => 570.8
            [rr_ratio] => 3
            [closed_at] => 2025-04-10 01:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 578
            [stop_loss] => 570.8
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-10 01:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 578.8
            [stop_loss] => 570.8
            [rr_ratio] => 4
            [closed_at] => 2025-04-10 01:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 579.6
            [stop_loss] => 570.8
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-10 02:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 580.4
            [stop_loss] => 570.8
            [rr_ratio] => 5
            [closed_at] => 2025-04-10 04:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 581.2
            [stop_loss] => 570.8
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-10 04:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 582
            [stop_loss] => 570.8
            [rr_ratio] => 6
            [closed_at] => 2025-04-10 04:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 582.8
            [stop_loss] => 570.8
            [rr_ratio] => 6.5
            [closed_at] => 2025-04-10 04:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)