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Short Trade on BGB

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Short Trade on BGB 30 May 2025 at 01:33:21

Take profit at 5.0874 (0.31 %) and Stop Loss at 5.1134 (0.2 %)

Short Trade on BGB

The 30 May 2025 at 01:33:21

With 768.6174 BGB at 5.103$ per unit.

Position size of 3922.2543 $

Take profit at 5.0874 (0.31 %) and Stop Loss at 5.1134 (0.2 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 2.0306
Prediction 1 Probability
Strong Trade
0.51
Prediction 2 Probability
1 0.47
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.517196

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.00693886669
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 5.12413
  4. ema21 : 5.1772
  5. ema50 : 5.23392
  6. ema100 : 5.28401
  7. price_ema9_diff : -0.00412447
  8. ema9_ema21_diff : -0.0102516
  9. ema21_ema50_diff : -0.0108365
  10. price_ema100_diff : -0.0342563
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.314253
  14. kc_percentage : 0.000373599
  15. kc_width_percentage : 0.0278416
    16. ¸
  16. 15m
  17. ema9 : 5.08703
  18. ema21 : 5.10018
  19. ema50 : 5.14517
  20. ema100 : 5.19243
  21. price_ema9_diff : 0.00313795
  22. ema9_ema21_diff : -0.00257872
  23. ema21_ema50_diff : -0.0087438
  24. price_ema100_diff : -0.0172246
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.465966
  28. kc_percentage : 0.578512
  29. kc_width_percentage : 0.0110373
    30. ¸
  30. 5m
  31. ema9 : 5.09208
  32. ema21 : 5.08576
  33. ema50 : 5.09306
  34. ema100 : 5.11822
  35. price_ema9_diff : 0.00214307
  36. ema9_ema21_diff : 0.00124257
  37. ema21_ema50_diff : -0.00143354
  38. price_ema100_diff : -0.00297546
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.702181
  42. kc_percentage : 1.1418
  43. kc_width_percentage : 0.005201
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    105984
  47. 5m_price_ema100_diff: 
    0.00176112
  48. 5m_price: 
    106171
  49. 5m_correlation_with_coin: 
    0.517196
  50. btc_indicators
  51. 15m_ema100: 
    106629
  52. 15m_price_ema100_diff: 
    -0.00429567
  53. 15m_price: 
    106171
  54. btc_indicators
  55. 1H_ema100: 
    107990
  56. 1H_price_ema100_diff: 
    -0.0168403
  57. 1H_price: 
    106171
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 May 2025
01:33:21		 30 May 2025
02:30:00		 56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.103 5.1134 5.0874 1.5 2.166
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 5.103
  • Stop Loss: 5.1134
  • Take Profit: 5.0874

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.1134 - 5.103 = 0.010400000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.103 - 5.0874 = 0.0156

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0156 / 0.010400000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3922.2543 100 768.6174 39.22
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 0.010400000000001

Taille de position = 8 / 0.010400000000001 = 769.23

Taille de position USD = 769.23 x 5.103 = 3925.38

Donc, tu peux acheter 769.23 avec un stoploss a 5.1134

Avec un position size USD de 3925.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 769.23 x 0.010400000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 769.23 x 0.0156 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 769.23
  • Taille de position USD 3925.38
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.31 % 11.99 $
SL % Target SL $ Target
0.2 % 7.99 $
PNL PNL %
12.3 $ 0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1371742112483 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 5.083
            [stop_loss] => 5.113
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 02:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 5.078
            [stop_loss] => 5.113
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 02:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 5.073
            [stop_loss] => 5.113
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 02:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 5.068
            [stop_loss] => 5.113
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 02:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 5.063
            [stop_loss] => 5.113
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 02:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 5.058
            [stop_loss] => 5.113
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 02:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 5.053
            [stop_loss] => 5.113
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 02:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 5.048
            [stop_loss] => 5.113
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 02:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 5.043
            [stop_loss] => 5.113
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 02:50:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 5.038
            [stop_loss] => 5.113
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 03:05:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 5.033
            [stop_loss] => 5.113
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 03:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.09
            [max_drawdown] => 0.0070000000000006
            [rr_ratio] => 12.86
            [high] => 5.11000000
            [low] => 5.01300000
            [mfe_pct] => 1.76
            [mae_pct] => 0.14
            [mfe_mae_ratio] => 12.86
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T01:33:21-04:00
            [end_at] => 2025-05-30T03:33:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.166
            [max_drawdown] => 0.0070000000000006
            [rr_ratio] => 23.71
            [high] => 5.11000000
            [low] => 4.93700000
            [mfe_pct] => 3.25
            [mae_pct] => 0.14
            [mfe_mae_ratio] => 23.71
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T01:33:21-04:00
            [end_at] => 2025-05-30T07:33:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.11200000
            [high_after] => 5.11000000
            [low_before] => 5.05800000
            [low_after] => 4.93700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)