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Trade

buy - BNB

Status
win
2025-04-09 23:34:35
25 seconds
PNL
0.42
Entry: 572.6
Last: 575.00000000

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: 0.25
  4. atr: 1.061541975
Details
  1. score: 2.25
  2. 1H
  3. ema9 - 576.626
  4. ema21 - 571.251
  5. ema50 - 565.228
  6. price_ema9_diff - -0.00696106
  7. ema9_ema21_diff - 0.00940842
  8. ema21_ema50_diff - 0.0106569
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.545236
  12. kc_percentage - 0.54877
  13. kc_width_percentage - 0.0352484
    14. ¸
  14. 15m
  15. ema9 - 575.775
  16. ema21 - 577.379
  17. ema50 - 574.856
  18. price_ema9_diff - -0.00541405
  19. ema9_ema21_diff - -0.0027766
  20. ema21_ema50_diff - 0.00438843
  21. all_emas_in_trend - False
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.346651
  24. kc_percentage - -0.0994307
  25. kc_width_percentage - 0.0136621
    26. ¸
  26. 5m
  27. ema9 - 574.447
  28. ema21 - 576.072
  29. ema50 - 577.79
  30. price_ema9_diff - -0.00312081
  31. ema9_ema21_diff - -0.00281947
  32. ema21_ema50_diff - -0.00297356
  33. all_emas_in_trend - True
  34. all_emas_and_price_in_trend - True
  35. rsi - 0.247061
  36. kc_percentage - -0.249688
  37. kc_width_percentage - 0.00775791
    38. ¸

Long Trade on BNB

The 09 Apr 2025 at 23:34:35

With 5.024 BNB at 572.6$ per unit.

Position size of 2877 $

Take profit at 575 (0.42 %) and Stop Loss at 571.1 (0.26 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: 75 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-04-09 23:33:21 0.9896 90 5
SOL 2025-04-09 23:33:10 0.9845 60 3

📌 Time Data

Start at Closed at Duration
09 Apr 2025
23:34:35		 09 Apr 2025
23:35:00		 25 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
572.6 571.1 575 1.6 770.6
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 572.6
  • Stop Loss: 571.1
  • Take Profit: 575

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 571.1 - 572.6 = -1.5

  • Récompense (distance jusqu'au take profit):

    E - TP = 572.6 - 575 = -2.4

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.4 / -1.5 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
2877 100 5.024 28.77
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 -1.5

Taille de position = 8 / -1.5 = -5.33

Taille de position USD = -5.33 x 572.6 = -3051.96

Donc, tu peux acheter -5.33 avec un stoploss a 571.1

Avec un position size USD de -3051.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5.33 x -1.5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5.33 x -2.4 = 12.79

Si Take Profit atteint, tu gagneras 12.79$

Résumé

  • Taille de position -5.33
  • Taille de position USD -3051.96
  • Perte potentielle 8
  • Gain potentiel 12.79
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.42 % 12 $
SL % Target SL $ Target
0.26 % 7.5 $
PNL PNL %
12 $ 0.42
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] => 571.1
            [rr_ratio] => 2
            [closed_at] => 2025-04-10 00:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 576.35
            [stop_loss] => 571.1
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-10 00:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 577.1
            [stop_loss] => 571.1
            [rr_ratio] => 3
            [closed_at] => 2025-04-10 01:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 577.85
            [stop_loss] => 571.1
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-10 01:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 578.6
            [stop_loss] => 571.1
            [rr_ratio] => 4
            [closed_at] => 2025-04-10 01:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 579.35
            [stop_loss] => 571.1
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-10 02:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 580.1
            [stop_loss] => 571.1
            [rr_ratio] => 5
            [closed_at] => 2025-04-10 04:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 580.85
            [stop_loss] => 571.1
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-10 04:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 581.6
            [stop_loss] => 571.1
            [rr_ratio] => 6
            [closed_at] => 2025-04-10 04:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 582.35
            [stop_loss] => 571.1
            [rr_ratio] => 6.5
            [closed_at] => 2025-04-10 04:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)