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Short Trade on BIO

Short Trade on BIO

The 13 Dec 2025 at 02:13:44

With 52454.8867 BIO at 0.04825$ per unit.

Position size of 2530.9483 $

Take profit at 0.04794 (0.64 %) and Stop Loss at 0.0484 (0.31 %)

That's a 2.07 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.71
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.51
Prediction 2 Probability
0 0.58
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.356735

15m : 0.105037

1H : -0.055092

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.26
  4. atr: 0.0001016746707
Details
  1. score: 1.26
  2. 1H
  3. ema9 - 0.0481427
  4. ema21 - 0.0483766
  5. ema50 - 0.048793
  6. ema100 - 0.0489598
  7. price_ema9_diff - 0.00222787
  8. ema9_ema21_diff - -0.00483446
  9. ema21_ema50_diff - -0.0085339
  10. price_ema100_diff - -0.0144978
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.00339145
  14. ema_slope_21 - -0.0808537
  15. ema_slope_50 - -0.0669419
  16. ema_slope_100 - -0.0372883
  17. rsi - 0.47765
  18. adx - 0.226652
  19. kc_percentage - 0.464877
  20. kc_width_percentage - 0.0623469
  21. volume_ema_diff - -0.503733
  22. volume_ema1 - 80993.278062036
  23. volume_ema2 - 163205.10146068
  24. chop - 44.3989
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0479682
  28. ema21 - 0.0480852
  29. ema50 - 0.0482832
  30. ema100 - 0.0488119
  31. price_ema9_diff - 0.0058741
  32. ema9_ema21_diff - -0.00243288
  33. ema21_ema50_diff - -0.00410121
  34. price_ema100_diff - -0.0115126
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0765745
  38. ema_slope_21 - -0.0556124
  39. ema_slope_50 - -0.036052
  40. ema_slope_100 - -0.0398519
  41. rsi - 0.529043
  42. adx - 0.171585
  43. kc_percentage - 0.665441
  44. kc_width_percentage - 0.0215941
  45. volume_ema_diff - -0.815844
  46. volume_ema1 - 8467.1531298025
  47. volume_ema2 - 45978.307773189
  48. chop - 65.3822
  49. regime - range_medium
    50. ¸
  50. 5m
  51. ema9 - 0.0480109
  52. ema21 - 0.0479466
  53. ema50 - 0.0480656
  54. ema100 - 0.0482522
  55. price_ema9_diff - 0.00497932
  56. ema9_ema21_diff - 0.00133993
  57. ema21_ema50_diff - -0.00247416
  58. price_ema100_diff - -4.7523E-5
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.0373272
  62. ema_slope_21 - 0.00300403
  63. ema_slope_50 - -0.0152986
  64. ema_slope_100 - -0.0159793
  65. rsi - 0.680661
  66. adx - 0.27231
  67. kc_percentage - 1.25882
  68. kc_width_percentage - 0.008302
  69. volume_ema_diff - -0.791572
  70. volume_ema1 - 1435.6558882316
  71. volume_ema2 - 6888.0370835147
  72. chop - 29.6042
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90291.8
  77. 5m_price_ema100_diff: 0.000289131
  78. 5m_price: 90318
  79. 5m_correlation_with_coin: 0.356735
  80. btc_indicators
  81. 15m_ema100: 90858.8
  82. 15m_price_ema100_diff: -0.00595236
  83. 15m_price: 90318
  84. 15m_correlation_with_coin: 0.105037
  85. btc_indicators
  86. 1H_ema100: 91012.5
  87. 1H_price_ema100_diff: -0.00763105
  88. 1H_price: 90318
  89. 1H_correlation_with_coin: -0.055092
    90. ¸

📌 Time Data

Start at Closed at Duration
13 Dec 2025
02:13:44		 13 Dec 2025
02:15:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04825 0.0484 0.04794 2.07 0.04394
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 0.04825
  • Stop Loss: 0.0484
  • Take Profit: 0.04794

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0484 - 0.04825 = 0.00015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04825 - 0.04794 = 0.00031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00031 / 0.00015 = 2.0667

📌 Position Size

Amount Margin Quantity Leverage
2530.9483 100 52454.8867 25.31
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 0.00015

Taille de position = 8 / 0.00015 = 53333.33

Taille de position USD = 53333.33 x 0.04825 = 2573.33

Donc, tu peux acheter 53333.33 avec un stoploss a 0.0484

Avec un position size USD de 2573.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 53333.33 x 0.00015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 53333.33 x 0.00031 = 16.53

Si Take Profit atteint, tu gagneras 16.53$

Résumé

  • Taille de position 53333.33
  • Taille de position USD 2573.33
  • Perte potentielle 8
  • Gain potentiel 16.53
  • Risk-Reward Ratio 2.0667

📌 Peformances

TP % Target TP $ Target
0.64 % 16.26 $
SL % Target SL $ Target
0.31 % 7.87 $
PNL PNL %
-7.87 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3731 % 120.01 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04794
            [entry_price] => 0.04825
            [stop_loss] => 0.048415
            [rr_ratio] => 1.88
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-13 02:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04794
            [entry_price] => 0.04825
            [stop_loss] => 0.04843
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-13 02:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04794
            [entry_price] => 0.04825
            [stop_loss] => 0.048445
            [rr_ratio] => 1.59
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-13 02:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04794
            [entry_price] => 0.04825
            [stop_loss] => 0.048475
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-13 03:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0002
            [max_drawdown] => 0.00028
            [rr_ratio] => 0.71
            [high] => 0.04853000
            [low] => 0.04805000
            [mfe_pct] => 0.41
            [mae_pct] => 0.58
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 24
            [start_at] => 2025-12-13T02:13:44-05:00
            [end_at] => 2025-12-13T04:13:44-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0002
            [max_drawdown] => 0.00085
            [rr_ratio] => 0.24
            [high] => 0.04910000
            [low] => 0.04805000
            [mfe_pct] => 0.41
            [mae_pct] => 1.76
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 84
            [start_at] => 2025-12-13T02:13:44-05:00
            [end_at] => 2025-12-13T09:13:44-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04856000
            [high_after] => 0.04910000
            [low_before] => 0.04767000
            [low_after] => 0.04805000
            [is_new_high] => 
            [is_new_low] => 
        )

)