Short Trade on BID 15 Jul 2025 at 06:10:09

Take profit at 0.1068 (1.29 %) and Stop Loss at 0.1092 (0.92 %)

Short Trade on BID

The 15 Jul 2025 at 06:10:09

With 8602.107 BID at 0.1082$ per unit.

Position size of 931.006 $

Take profit at 0.1068 (1.29 %) and Stop Loss at 0.1092 (0.92 %)

That's a 1.4 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 1.13
Prediction Score: 1.185
Prediction 1 Probability
Weak Trade
0.51
Prediction 2 Probability
1 0.49
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : -0.100733

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0006200031364
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.108268
  4. ema21 : 0.109523
  5. ema50 : 0.110558
  6. ema100 : 0.110727
  7. price_ema9_diff : -0.000358139
  8. ema9_ema21_diff : -0.0114519
  9. ema21_ema50_diff : -0.00936984
  10. price_ema100_diff : -0.0225534
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.467012
  14. kc_percentage : 0.416596
  15. kc_width_percentage : 0.134441
  16. volume_ema_diff : -0.576726
  17. volume_ema1 : 191972.32827161
  18. volume_ema2 : 453541.83745164
  19. ¸
  20. 15m
  21. ema9 : 0.107166
  22. ema21 : 0.108027
  23. ema50 : 0.109212
  24. ema100 : 0.110852
  25. price_ema9_diff : 0.00992483
  26. ema9_ema21_diff : -0.00796747
  27. ema21_ema50_diff : -0.010856
  28. price_ema100_diff : -0.02366
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.495452
  32. kc_percentage : 0.54372
  33. kc_width_percentage : 0.055251
  34. volume_ema_diff : -0.741536
  35. volume_ema1 : 25666.024452679
  36. volume_ema2 : 99302.139006094
  37. ¸
  38. 5m
  39. ema9 : 0.107185
  40. ema21 : 0.10706
  41. ema50 : 0.107842
  42. ema100 : 0.108691
  43. price_ema9_diff : 0.00974573
  44. ema9_ema21_diff : 0.00116887
  45. ema21_ema50_diff : -0.00725329
  46. price_ema100_diff : -0.00424469
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.604241
  50. kc_percentage : 1.02357
  51. kc_width_percentage : 0.0208916
  52. volume_ema_diff : -0.635205
  53. volume_ema1 : 6698.8634599542
  54. volume_ema2 : 18363.389644894
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    117335
  59. 5m_price_ema100_diff:
    -0.00432247
  60. 5m_price:
    116828
  61. 5m_correlation_with_coin:
    -0.100733
  62. btc_indicators
  63. 15m_ema100:
    118975
  64. 15m_price_ema100_diff:
    -0.0180473
  65. 15m_price:
    116828
  66. btc_indicators
  67. 1H_ema100:
    118651
  68. 1H_price_ema100_diff:
    -0.0153631
  69. 1H_price:
    116828
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Jul 2025
06:10:09
15 Jul 2025
07:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1082 0.1092 0.1068 1.4 0.02489
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 0.1082
  • Stop Loss: 0.1092
  • Take Profit: 0.1068

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1092 - 0.1082 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1082 - 0.1068 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.001 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
931.006 100 8602.107 9.31
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1082 = 865.6

Donc, tu peux acheter 8000 avec un stoploss a 0.1092

Avec un position size USD de 865.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0014 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 8000
  • Taille de position USD 865.6
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
1.29 % 12.04 $
SL % Target SL $ Target
0.92 % 8.6 $
PNL PNL %
12.05 $ 1.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 0.1062
            [stop_loss] => 0.1092
            [rr_ratio] => 2
            [closed_at] => 2025-07-15 08:00:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1057
            [stop_loss] => 0.1092
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-15 08:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1052
            [stop_loss] => 0.1092
            [rr_ratio] => 3
            [closed_at] => 2025-07-15 08:00:00
            [result] => loss
        )

    [3.5] => Array
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            [take_profit] => 0.1047
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            [rr_ratio] => 3.5
            [closed_at] => 2025-07-15 08:00:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 0.1092
            [rr_ratio] => 4
            [closed_at] => 2025-07-15 08:00:00
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    [4.5] => Array
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            [take_profit] => 0.1037
            [stop_loss] => 0.1092
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-15 08:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1032
            [stop_loss] => 0.1092
            [rr_ratio] => 5
            [closed_at] => 2025-07-15 08:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1027
            [stop_loss] => 0.1092
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-15 08:00:00
            [result] => loss
        )

    [6] => Array
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            [take_profit] => 0.1022
            [stop_loss] => 0.1092
            [rr_ratio] => 6
            [closed_at] => 2025-07-15 08:00:00
            [result] => loss
        )

    [6.5] => Array
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            [rr_ratio] => 6.5
            [closed_at] => 2025-07-15 08:00:00
            [result] => loss
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    [7] => Array
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            [stop_loss] => 0.1092
            [rr_ratio] => 7
            [closed_at] => 2025-07-15 08:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
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            [max_gain] => 0.00186
            [max_drawdown] => 0.00156
            [rr_ratio] => 1.19
            [high] => 0.10976000
            [low] => 0.10634000
            [mfe_pct] => 1.72
            [mae_pct] => 1.44
            [mfe_mae_ratio] => 1.19
            [candles_analyzed] => 24
            [start_at] => 2025-07-15T06:10:09-04:00
            [end_at] => 2025-07-15T08:10:09-04:00
        )

    [long_term] => Array
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            [max_gain] => 0.00186
            [max_drawdown] => 0.00611
            [rr_ratio] => 0.3
            [high] => 0.11431000
            [low] => 0.10634000
            [mfe_pct] => 1.72
            [mae_pct] => 5.65
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 72
            [start_at] => 2025-07-15T06:10:09-04:00
            [end_at] => 2025-07-15T12:10:09-04:00
        )

    [breakout] => Array
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            [high_before] => 0.11490000
            [high_after] => 0.11431000
            [low_before] => 0.10541000
            [low_after] => 0.10634000
            [is_new_high] => 
            [is_new_low] => 
        )

)