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Trade

buy - BNB

Status
win
2025-05-22 02:59:13
20 minutes
PNL
0.31
Entry: 679.34
Last: 681.40000000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.0743
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.54
Prediction 3 Probability
n/a
ML Trade Score: 120
ML Pullback Score: 6.99

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.9368163241
Details
  1. score: 2.02
  2. 1H
  3. ema9 - 678.235
  4. ema21 - 671.477
  5. ema50 - 661.933
  6. ema100 - 654.91
  7. price_ema9_diff - 0.00162794
  8. ema9_ema21_diff - 0.010065
  9. ema21_ema50_diff - 0.0144178
  10. price_ema100_diff - 0.0373013
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.658247
  14. kc_percentage - 0.853821
  15. kc_width_percentage - 0.0306599
    16. ¸
  16. 15m
  17. ema9 - 681.29
  18. ema21 - 680.895
  19. ema50 - 676.537
  20. ema100 - 671.007
  21. price_ema9_diff - -0.00286277
  22. ema9_ema21_diff - 0.000579646
  23. ema21_ema50_diff - 0.00644127
  24. price_ema100_diff - 0.0124179
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.475059
  28. kc_percentage - 0.301927
  29. kc_width_percentage - 0.0123914
    30. ¸
  30. 5m
  31. ema9 - 680.293
  32. ema21 - 681.205
  33. ema50 - 681.425
  34. ema100 - 679.802
  35. price_ema9_diff - -0.00140156
  36. ema9_ema21_diff - -0.00133815
  37. ema21_ema50_diff - -0.000323428
  38. price_ema100_diff - -0.000680629
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.334176
  42. kc_percentage - -0.0229528
  43. kc_width_percentage - 0.00509079
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 110518
  47. 5m_price_ema100_diff: 0.000506769
  48. 5m_price: 110574
  49. 5m_correlation_with_coin: 0.450201
  50. btc_indicators
  51. 15m_ema100: 109026
  52. 15m_price_ema100_diff: 0.0141976
  53. 15m_price: 110574
  54. btc_indicators
  55. 1H_ema100: 106354
  56. 1H_price_ema100_diff: 0.0396739
  57. 1H_price: 110574
    58. ¸

Long Trade on BNB

The 22 May 2025 at 02:59:13

With 5.693 BNB at 679.34$ per unit.

Position size of 3867.5102 $

Take profit at 681.4478 (0.31 %) and Stop Loss at 677.9348 (0.21 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -19 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-04-19 18:21:01 0.9709 -100 1
VIRTUAL 2025-07-10 06:06:18 0.9599 40 1
PAXG 2025-05-15 20:33:16 0.9595 50 1
PAXG 2025-04-11 01:41:27 0.9584 -90 1
THETA 2025-07-20 16:10:00 0.9581 30 1
SSV 2025-06-10 22:43:50 0.9559 35 2
MELANIA 2025-07-11 03:57:39 0.9549 80 1
APE 2025-05-26 09:24:37 0.9548 -100 1
APE 2025-06-02 23:02:56 0.9526 -100 2
ATH 2025-06-21 06:54:19 0.9535 -35 2

📌 Time Data

Start at Closed at Duration
22 May 2025
02:59:13		 22 May 2025
03:20:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
679.34 677.9348 681.4478 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 679.34
  • Stop Loss: 677.9348
  • Take Profit: 681.4478

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 677.9348 - 679.34 = -1.4052

  • Récompense (distance jusqu'au take profit):

    E - TP = 679.34 - 681.4478 = -2.1078

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.1078 / -1.4052 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3867.5102 100 5.693 38.68
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 -1.4052

Taille de position = 8 / -1.4052 = -5.69

Taille de position USD = -5.69 x 679.34 = -3865.44

Donc, tu peux acheter -5.69 avec un stoploss a 677.9348

Avec un position size USD de -3865.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5.69 x -1.4052 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5.69 x -2.1078 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position -5.69
  • Taille de position USD -3865.44
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.31 % 12 $
SL % Target SL $ Target
0.21 % 8 $
PNL PNL %
11.96 $ 0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.044163109082873 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 682.1
            [stop_loss] => 677.9
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 03:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 682.8
            [stop_loss] => 677.9
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 03:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 683.5
            [stop_loss] => 677.9
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 03:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 684.2
            [stop_loss] => 677.9
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 03:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 684.9
            [stop_loss] => 677.9
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 04:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 685.6
            [stop_loss] => 677.9
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 05:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 686.3
            [stop_loss] => 677.9
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 07:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 687
            [stop_loss] => 677.9
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-22 07:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 687.7
            [stop_loss] => 677.9
            [rr_ratio] => 6
            [closed_at] => 2025-05-22 07:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 5.7099999999999
            [max_drawdown] => 0.34000000000003
            [rr_ratio] => 16.79
            [high] => 685.05000000
            [low] => 679.00000000
            [mfe_pct] => 0.84
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 16.79
            [candles_analyzed] => 24
            [start_at] => 2025-05-22T02:59:13-04:00
            [end_at] => 2025-05-22T04:59:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 8.49
            [max_drawdown] => 0.34000000000003
            [rr_ratio] => 24.97
            [high] => 687.83000000
            [low] => 679.00000000
            [mfe_pct] => 1.25
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 24.97
            [candles_analyzed] => 72
            [start_at] => 2025-05-22T02:59:13-04:00
            [end_at] => 2025-05-22T08:59:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 689.65000000
            [high_after] => 687.83000000
            [low_before] => 679.20000000
            [low_after] => 679.00000000
            [is_new_high] => 
            [is_new_low] => 
        )

)