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Trade

buy - BGB

Status
loss
2025-05-16 20:37:55
2 minutes
PNL
-0.32
Entry: 4.986
Last: 4.97000000

Results

Status:
loss
Trade Type:
buy
Prediction Score: 0
Prediction 1 Accuracy
Weak Trade
0.77
Prediction 2 Accuracy
0 0.62
ML Trade Score: -100
ML Pullback Score: -0.11

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.01067398847
Details
  1. score: 2.13
  2. 1H
  3. ema9 - 5.002
  4. ema21 - 4.98375
  5. ema50 - 4.92238
  6. ema100 - 4.86181
  7. price_ema9_diff - -0.00319885
  8. ema9_ema21_diff - 0.00366149
  9. ema21_ema50_diff - 0.0124677
  10. price_ema100_diff - 0.0255429
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.525464
  14. kc_percentage - 0.500708
  15. kc_width_percentage - 0.03342
    16. ¸
  16. 15m
  17. ema9 - 5.01029
  18. ema21 - 5.00607
  19. ema50 - 4.99931
  20. ema100 - 4.98555
  21. price_ema9_diff - -0.00484914
  22. ema9_ema21_diff - 0.000842724
  23. ema21_ema50_diff - 0.00135237
  24. price_ema100_diff - 8.95736E-5
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.427577
  28. kc_percentage - 0.221756
  29. kc_width_percentage - 0.0147484
    30. ¸
  30. 5m
  31. ema9 - 5.00354
  32. ema21 - 5.01251
  33. ema50 - 5.00928
  34. ema100 - 5.00188
  35. price_ema9_diff - -0.00350669
  36. ema9_ema21_diff - -0.00178923
  37. ema21_ema50_diff - 0.000645237
  38. price_ema100_diff - -0.00317517
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.296432
  42. kc_percentage - -0.130863
  43. kc_width_percentage - 0.00835473
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103629
  47. 5m_price_ema100_diff: -0.00421903
  48. 5m_price: 103192
  49. 5m_correlation_with_coin: 0.260792
  50. btc_indicators
  51. 15m_ema100: 103664
  52. 15m_price_ema100_diff: -0.0045484
  53. 15m_price: 103192
  54. btc_indicators
  55. 1H_ema100: 103284
  56. 1H_price_ema100_diff: -0.000890795
  57. 1H_price: 103192
    58. ¸

Long Trade on BGB

The 16 May 2025 at 20:37:55

With 499.657 BGB at 4.986$ per unit.

Position size of 2491.2899 $

Take profit at 5.01 (0.48 %) and Stop Loss at 4.97 (0.32 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -45 %

Symbol Start at Seach Score Trade Score Trades Count
GRIFFAIN 2025-05-20 18:26:24 0.7186 40 1
AIXBT 2025-04-30 04:45:11 0.7103 -100 1
LUCE 2025-04-16 07:02:00 0.7056 -100 1
FLOKI 2025-07-19 02:23:58 0.6974 -100 1
INJ 2025-07-21 01:26:17 0.6969 30 1
DOGE 2025-06-10 10:05:31 0.6954 -100 1
RAY 2025-04-28 04:52:44 0.678 30 2
RAY 2025-04-16 00:21:09 0.6537 30 1
HAEDAL 2025-05-03 13:02:41 0.6714 -100 1
JUP 2025-06-10 09:44:44 0.6575 -100 2
PENGU 2025-04-26 00:33:38 0.6544 30 1
CAKE 2025-05-28 10:15:09 0.6515 -100 1

📌 Time Data

Start at Closed at Duration
16 May 2025
20:37:55		 16 May 2025
20:40:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.986 4.97 5.01 1.5 4.756
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 4.986
  • Stop Loss: 4.97
  • Take Profit: 5.01

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.97 - 4.986 = -0.016

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.986 - 5.01 = -0.024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.024 / -0.016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2491.2899 100 499.657 24.91
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 -0.016

Taille de position = 8 / -0.016 = -500

Taille de position USD = -500 x 4.986 = -2493

Donc, tu peux acheter -500 avec un stoploss a 4.97

Avec un position size USD de -2493$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -500 x -0.016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -500 x -0.024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -500
  • Taille de position USD -2493
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.48 % 11.99 $
SL % Target SL $ Target
0.32 % 7.99 $
PNL PNL %
-7.99 $ -0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.52146008824709 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.01
            [entry_price] => 4.986
            [stop_loss] => 4.9684
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-16 20:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.01
            [entry_price] => 4.986
            [stop_loss] => 4.9668
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-16 20:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.01
            [entry_price] => 4.986
            [stop_loss] => 4.9652
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-16 20:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.01
            [entry_price] => 4.986
            [stop_loss] => 4.962
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-16 20:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0089999999999995
            [max_drawdown] => 0.112
            [rr_ratio] => -0.08
            [high] => 4.97700000
            [low] => 4.87400000
            [mfe_pct] => -0.18
            [mae_pct] => 2.25
            [mfe_mae_ratio] => -0.08
            [candles_analyzed] => 24
            [start_at] => 2025-05-16T20:37:55-04:00
            [end_at] => 2025-05-16T22:37:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0089999999999995
            [max_drawdown] => 0.112
            [rr_ratio] => -0.08
            [high] => 4.97700000
            [low] => 4.87400000
            [mfe_pct] => -0.18
            [mae_pct] => 2.25
            [mfe_mae_ratio] => -0.08
            [candles_analyzed] => 72
            [start_at] => 2025-05-16T20:37:55-04:00
            [end_at] => 2025-05-17T02:37:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.04700000
            [high_after] => 4.97700000
            [low_before] => 4.95500000
            [low_after] => 4.87400000
            [is_new_high] => 
            [is_new_low] => 
        )

)