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Trade

buy - BNB

Status
win
2025-05-27 17:25:13
39 minutes
PNL
0.19
Entry: 687.6
Last: 688.90000000

Results

Status:
win
Trade Type:
buy
Prediction Score: -7.029
Prediction 1 Accuracy
Weak Trade
0.61
Prediction 2 Accuracy
0 0.43
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.585474922
Details
  1. score: 2.07
  2. 1H: ema9 - 688.309
  3. 1H: ema21 - 684.285
  4. 1H: ema50 - 678.359
  5. 1H: ema100 - 674.188
  6. 1H: price_ema9_diff - -0.00104485
  7. 1H: ema9_ema21_diff - 0.00587955
  8. 1H: ema21_ema50_diff - 0.00873676
  9. 1H: price_ema100_diff - 0.0198773
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.59388
  13. 1H: kc_percentage - 0.689611
  14. 1H: kc_width_percentage - 0.0229962
    15. ¸
  15. 15m: ema9 - 688.911
  16. 15m: ema21 - 689.202
  17. 15m: ema50 - 686.95
  18. 15m: ema100 - 683.078
  19. 15m: price_ema9_diff - -0.00191871
  20. 15m: ema9_ema21_diff - -0.000421374
  21. 15m: ema21_ema50_diff - 0.00327778
  22. 15m: price_ema100_diff - 0.00660493
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.447457
  26. 15m: kc_percentage - 0.235185
  27. 15m: kc_width_percentage - 0.00898727
    28. ¸
  28. 5m: ema9 - 688.447
  29. 5m: ema21 - 688.846
  30. 5m: ema50 - 689.377
  31. 5m: ema100 - 689.254
  32. 5m: price_ema9_diff - -0.00124593
  33. 5m: ema9_ema21_diff - -0.000578767
  34. 5m: ema21_ema50_diff - -0.000769858
  35. 5m: price_ema100_diff - -0.00241446
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.362275
  39. 5m: kc_percentage - -0.0671063
  40. 5m: kc_width_percentage - 0.00314897
    41. ¸

Long Trade on BNB

The 27 May 2025 at 17:25:13

With 6264 BNB at 687.6$ per unit.

Take profit at 688.9 (0.19 %) and Stop Loss at 686.7 (0.13 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -30.74 %

Symbol Start at Seach Score Trade Score Trades Count
JUP 2025-05-26 09:58:36 0.9515 -100 2
AR 2025-05-02 06:19:08 0.9488 -56.67 3
ATOM 2025-04-04 07:01:32 0.9474 -100 3
UNI 2025-05-11 03:12:02 0.9483 -100 1
AI16Z 2025-04-25 11:54:22 0.9474 -100 1
TRX 2025-05-13 20:30:51 0.9468 30 1
COOKIE 2025-06-02 01:49:43 0.9451 50 1
TIA 2025-05-26 09:55:28 0.9443 50 1
APE 2025-06-03 00:10:15 0.9436 50 1

📌 Time Data

Start at Closed at Duration
27 May 2025
17:25:13		 27 May 2025
18:05:00		 39 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
687.6 686.7 688.9 1.4 644.3
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 687.6
  • Stop Loss: 686.7
  • Take Profit: 688.9

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 686.7 - 687.6 = -0.89999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 687.6 - 688.9 = -1.3

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.3 / -0.89999999999998 = 1.4444

📌 Position Size

Amount Margin Quantity Leverage
6264 100 9.109 62.64
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 -0.89999999999998

Taille de position = 8 / -0.89999999999998 = -8.89

Taille de position USD = -8.89 x 687.6 = -6112.76

Donc, tu peux acheter -8.89 avec un stoploss a 686.7

Avec un position size USD de -6112.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8.89 x -0.89999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8.89 x -1.3 = 11.56

Si Take Profit atteint, tu gagneras 11.56$

Résumé

  • Taille de position -8.89
  • Taille de position USD -6112.76
  • Perte potentielle 8
  • Gain potentiel 11.56
  • Risk-Reward Ratio 1.4444

📌 Peformances

TP % Target TP $ Target
0.19 % 12 $
SL % Target SL $ Target
0.13 % 8.2 $
RR PNL PNL % Max Drawdown
1.4 12 $ 0.19 -0.10762070971495

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 689.4
            [stop_loss] => 686.7
            [rr_ratio] => 2
            [closed_at] => 2025-05-27 18:15:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 689.85
            [stop_loss] => 686.7
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-27 18:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 690.3
            [stop_loss] => 686.7
            [rr_ratio] => 3
            [closed_at] => 2025-05-27 18:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 690.75
            [stop_loss] => 686.7
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-27 18:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 691.2
            [stop_loss] => 686.7
            [rr_ratio] => 4
            [closed_at] => 2025-05-27 18:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 691.65
            [stop_loss] => 686.7
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-27 18:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 692.1
            [stop_loss] => 686.7
            [rr_ratio] => 5
            [closed_at] => 2025-05-27 18:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)