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Trade

sell - BNB

Status
win
2025-05-13 05:41:14
33 minutes
PNL
0.32
Entry: 652.91
Last: 650.80000000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.2813
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.65
Prediction 3 Probability
n/a
ML Trade Score: 40
ML Pullback Score: 1.87

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.9362740251
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 650.862
  4. ema21 - 654.653
  5. ema50 - 656.478
  6. ema100 - 653.016
  7. price_ema9_diff - 0.00314632
  8. ema9_ema21_diff - -0.0057909
  9. ema21_ema50_diff - -0.00278113
  10. price_ema100_diff - -0.000163524
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.467104
  14. kc_percentage - 0.436063
  15. kc_width_percentage - 0.0362923
    16. ¸
  16. 15m
  17. ema9 - 650.483
  18. ema21 - 649.746
  19. ema50 - 652.325
  20. ema100 - 657.243
  21. price_ema9_diff - 0.00373009
  22. ema9_ema21_diff - 0.00113385
  23. ema21_ema50_diff - -0.00395306
  24. price_ema100_diff - -0.00659353
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.592195
  28. kc_percentage - 0.917092
  29. kc_width_percentage - 0.0116441
    30. ¸
  30. 5m
  31. ema9 - 651.602
  32. ema21 - 650.597
  33. ema50 - 649.599
  34. ema100 - 649.409
  35. price_ema9_diff - 0.00200721
  36. ema9_ema21_diff - 0.00154458
  37. ema21_ema50_diff - 0.00153535
  38. price_ema100_diff - 0.00538969
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.67635
  42. kc_percentage - 1.09086
  43. kc_width_percentage - 0.00585083
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102576
  47. 5m_price_ema100_diff: 0.007017
  48. 5m_price: 103295
  49. 5m_correlation_with_coin: 0.836257
  50. btc_indicators
  51. 15m_ema100: 102840
  52. 15m_price_ema100_diff: 0.00443095
  53. 15m_price: 103295
  54. btc_indicators
  55. 1H_ema100: 103309
  56. 1H_price_ema100_diff: -0.000136005
  57. 1H_price: 103295
    58. ¸

Short Trade on BNB

The 13 May 2025 at 05:41:14

With 5.6963 BNB at 652.91$ per unit.

Position size of 3719.1961 $

Take profit at 650.8034 (0.32 %) and Stop Loss at 654.3144 (0.22 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 15.94 %

Symbol Start at Seach Score Trade Score Trades Count
UNI 2025-05-13 05:41:21 0.9793 30 1
LISTA 2025-05-13 05:45:10 0.967 -2.5 4
BCH 2025-05-13 05:40:49 0.9716 50 1
GALA 2025-05-13 05:53:51 0.9675 40 1
ADA 2025-05-13 05:40:58 0.9663 -100 1
POL 2025-05-13 05:43:28 0.9622 40 1
VET 2025-05-13 05:42:09 0.9622 40 1
ICP 2025-05-13 05:53:33 0.9615 30 1

📌 Time Data

Start at Closed at Duration
13 May 2025
05:41:14		 13 May 2025
06:15:00		 33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
652.91 654.3144 650.8034 1.5 888.94
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 652.91
  • Stop Loss: 654.3144
  • Take Profit: 650.8034

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 654.3144 - 652.91 = 1.4044

  • Récompense (distance jusqu'au take profit):

    E - TP = 652.91 - 650.8034 = 2.1066

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 2.1066 / 1.4044 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3719.1961 100 5.6963 37.19
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 1.4044

Taille de position = 8 / 1.4044 = 5.7

Taille de position USD = 5.7 x 652.91 = 3721.59

Donc, tu peux acheter 5.7 avec un stoploss a 654.3144

Avec un position size USD de 3721.59$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5.7 x 1.4044 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5.7 x 2.1066 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 5.7
  • Taille de position USD 3721.59
  • Perte potentielle 8.01
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.32 % 12 $
SL % Target SL $ Target
0.22 % 8 $
PNL PNL %
11.96 $ 0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.065860009189778 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 650.1
            [stop_loss] => 654.3
            [rr_ratio] => 2
            [closed_at] => 2025-05-13 06:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 649.4
            [stop_loss] => 654.3
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-13 07:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 648.7
            [stop_loss] => 654.3
            [rr_ratio] => 3
            [closed_at] => 2025-05-13 07:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 648
            [stop_loss] => 654.3
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-13 07:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 647.3
            [stop_loss] => 654.3
            [rr_ratio] => 4
            [closed_at] => 2025-05-13 07:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 646.6
            [stop_loss] => 654.3
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-13 07:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 645.9
            [stop_loss] => 654.3
            [rr_ratio] => 5
            [closed_at] => 2025-05-13 07:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 645.2
            [stop_loss] => 654.3
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-13 07:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 644.5
            [stop_loss] => 654.3
            [rr_ratio] => 6
            [closed_at] => 2025-05-13 07:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 643.8
            [stop_loss] => 654.3
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-13 07:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 643.1
            [stop_loss] => 654.3
            [rr_ratio] => 7
            [closed_at] => 2025-05-13 07:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.3099999999999
            [max_drawdown] => 1.7800000000001
            [rr_ratio] => 1.86
            [high] => 654.69000000
            [low] => 649.60000000
            [mfe_pct] => 0.51
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 1.86
            [candles_analyzed] => 24
            [start_at] => 2025-05-13T05:41:14-04:00
            [end_at] => 2025-05-13T07:41:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.3099999999999
            [max_drawdown] => 5.24
            [rr_ratio] => 0.63
            [high] => 658.15000000
            [low] => 649.60000000
            [mfe_pct] => 0.51
            [mae_pct] => 0.8
            [mfe_mae_ratio] => 0.63
            [candles_analyzed] => 72
            [start_at] => 2025-05-13T05:41:14-04:00
            [end_at] => 2025-05-13T11:41:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 653.15000000
            [high_after] => 658.15000000
            [low_before] => 646.30000000
            [low_after] => 649.60000000
            [is_new_high] => 
            [is_new_low] => 
        )

)