Web3Way Logo

Trade

buy - BNB

Status
win
2025-05-22 03:03:12
16 minutes
PNL
0.31
Entry: 679
Last: 681.10000000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.0724
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.47
Prediction 3 Probability
n/a
ML Trade Score: 120
ML Pullback Score: 6

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.9113794211
Details
  1. score: 2.08
  2. 1H
  3. ema9 - 678.902
  4. ema21 - 672.114
  5. ema50 - 662.377
  6. ema100 - 655.251
  7. price_ema9_diff - 0.000143791
  8. ema9_ema21_diff - 0.0100987
  9. ema21_ema50_diff - 0.0147008
  10. price_ema100_diff - 0.0362431
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.646876
  14. kc_percentage - 0.815251
  15. kc_width_percentage - 0.0298192
    16. ¸
  16. 15m
  17. ema9 - 681.138
  18. ema21 - 680.931
  19. ema50 - 676.747
  20. ema100 - 671.26
  21. price_ema9_diff - -0.00313953
  22. ema9_ema21_diff - 0.000303312
  23. ema21_ema50_diff - 0.00618364
  24. price_ema100_diff - 0.011529
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.461812
  28. kc_percentage - 0.233255
  29. kc_width_percentage - 0.0112132
    30. ¸
  30. 5m
  31. ema9 - 680.02
  32. ema21 - 680.997
  33. ema50 - 681.335
  34. ema100 - 679.85
  35. price_ema9_diff - -0.00150051
  36. ema9_ema21_diff - -0.00143435
  37. ema21_ema50_diff - -0.000496867
  38. price_ema100_diff - -0.00125028
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.317557
  42. kc_percentage - -0.0789152
  43. kc_width_percentage - 0.00492569
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 110506
  47. 5m_price_ema100_diff: 0.000765354
  48. 5m_price: 110591
  49. 5m_correlation_with_coin: 0.454112
  50. btc_indicators
  51. 15m_ema100: 109102
  52. 15m_price_ema100_diff: 0.0136489
  53. 15m_price: 110591
  54. btc_indicators
  55. 1H_ema100: 106447
  56. 1H_price_ema100_diff: 0.0389224
  57. 1H_price: 110591
    58. ¸

Long Trade on BNB

The 22 May 2025 at 03:03:12

With 5.8519 BNB at 679$ per unit.

Position size of 3973.464 $

Take profit at 681.0506 (0.3 %) and Stop Loss at 677.6329 (0.2 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -9.83 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-04-19 18:21:01 0.971 -100 1
PAXG 2025-04-11 01:47:58 0.9564 36.67 3
PAXG 2025-05-15 20:33:16 0.9589 50 1
VIRTUAL 2025-07-10 06:06:18 0.9594 40 1
THETA 2025-07-20 16:10:00 0.9568 30 1
APE 2025-05-26 09:24:37 0.9556 -100 1
APE 2025-06-02 23:08:58 0.9535 -100 1
SSV 2025-06-10 22:43:50 0.9542 35 2
1000BONK 2025-04-23 03:21:27 0.9539 -70 1
MELANIA 2025-07-11 03:57:39 0.9536 80 1

📌 Time Data

Start at Closed at Duration
22 May 2025
03:03:12		 22 May 2025
03:20:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
679 677.6329 681.0506 1.5 889.39
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 679
  • Stop Loss: 677.6329
  • Take Profit: 681.0506

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 677.6329 - 679 = -1.3671000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 679 - 681.0506 = -2.0506

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.0506 / -1.3671000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3973.464 100 5.8519 39.73
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 -1.3671000000001

Taille de position = 8 / -1.3671000000001 = -5.85

Taille de position USD = -5.85 x 679 = -3972.15

Donc, tu peux acheter -5.85 avec un stoploss a 677.6329

Avec un position size USD de -3972.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5.85 x -1.3671000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5.85 x -2.0506 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -5.85
  • Taille de position USD -3972.15
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.3 % 12 $
SL % Target SL $ Target
0.2 % 8 $
PNL PNL %
12.29 $ 0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 681.8
            [stop_loss] => 677.6
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 03:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 682.5
            [stop_loss] => 677.6
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 03:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 683.2
            [stop_loss] => 677.6
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 03:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 683.9
            [stop_loss] => 677.6
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 03:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 684.6
            [stop_loss] => 677.6
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 04:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 685.3
            [stop_loss] => 677.6
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 05:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 686
            [stop_loss] => 677.6
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 05:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 686.7
            [stop_loss] => 677.6
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-22 07:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 687.4
            [stop_loss] => 677.6
            [rr_ratio] => 6
            [closed_at] => 2025-05-22 07:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 6.05
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 685.05000000
            [low] => 679.11000000
            [mfe_pct] => 0.89
            [mae_pct] => -0.02
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-22T03:03:12-04:00
            [end_at] => 2025-05-22T05:03:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 8.83
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 687.83000000
            [low] => 679.11000000
            [mfe_pct] => 1.3
            [mae_pct] => -0.02
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-22T03:03:12-04:00
            [end_at] => 2025-05-22T09:03:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 689.65000000
            [high_after] => 687.83000000
            [low_before] => 679.00000000
            [low_after] => 679.11000000
            [is_new_high] => 
            [is_new_low] => 
        )

)