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Short Trade on BIO

Short Trade on BIO

The 11 Dec 2025 at 06:32:55

With 36696.74 BIO at 0.04858$ per unit.

Position size of 1782.7276 $

Take profit at 0.04814 (0.91 %) and Stop Loss at 0.0488 (0.45 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.14
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.63
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.358167

15m : -0.161281

1H : 0.052929

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.0001453353439
Details
  1. score: 1.14
  2. 1H
  3. ema9 - 0.0485807
  4. ema21 - 0.0492117
  5. ema50 - 0.0494879
  6. ema100 - 0.0494206
  7. price_ema9_diff - -1.47897E-5
  8. ema9_ema21_diff - -0.0128223
  9. ema21_ema50_diff - -0.00558146
  10. price_ema100_diff - -0.0170109
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -0.491965
  14. ema_slope_21 - -0.247902
  15. ema_slope_50 - -0.0904596
  16. ema_slope_100 - -0.0351979
  17. rsi - 0.450237
  18. adx - 0.192751
  19. kc_percentage - 0.336546
  20. kc_width_percentage - 0.0755734
  21. volume_ema_diff - -0.732481
  22. volume_ema1 - 32867.372219473
  23. volume_ema2 - 122860.30267613
  24. chop - 40.4499
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0482548
  28. ema21 - 0.0482856
  29. ema50 - 0.0488354
  30. ema100 - 0.0492112
  31. price_ema9_diff - 0.00673787
  32. ema9_ema21_diff - -0.000638378
  33. ema21_ema50_diff - -0.0112564
  34. price_ema100_diff - -0.0128278
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0562931
  38. ema_slope_21 - -0.0211673
  39. ema_slope_50 - -0.0654647
  40. ema_slope_100 - -0.0461541
  41. rsi - 0.540478
  42. adx - 0.225564
  43. kc_percentage - 0.77525
  44. kc_width_percentage - 0.023094
  45. volume_ema_diff - -0.778138
  46. volume_ema1 - 4890.6241346643
  47. volume_ema2 - 22043.544448383
  48. chop - 55.1085
  49. regime - bear_medium
    50. ¸
  50. 5m
  51. ema9 - 0.048279
  52. ema21 - 0.0481942
  53. ema50 - 0.0481631
  54. ema100 - 0.0482318
  55. price_ema9_diff - 0.00623379
  56. ema9_ema21_diff - 0.00175937
  57. ema21_ema50_diff - 0.000646095
  58. price_ema100_diff - 0.00721849
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0146362
  62. ema_slope_21 - 0.00910789
  63. ema_slope_50 - 0.00294997
  64. ema_slope_100 - -0.00237864
  65. rsi - 0.653354
  66. adx - 0.202441
  67. kc_percentage - 1.14159
  68. kc_width_percentage - 0.0122458
  69. volume_ema_diff - -0.234031
  70. volume_ema1 - 2540.9557797461
  71. volume_ema2 - 3317.3101049411
  72. chop - 35.9695
  73. regime - bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90120.5
  77. 5m_price_ema100_diff: 0.00161442
  78. 5m_price: 90266
  79. 5m_correlation_with_coin: 0.358167
  80. btc_indicators
  81. 15m_ema100: 91068.1
  82. 15m_price_ema100_diff: -0.00880854
  83. 15m_price: 90266
  84. 15m_correlation_with_coin: -0.161281
  85. btc_indicators
  86. 1H_ema100: 91062.9
  87. 1H_price_ema100_diff: -0.00875198
  88. 1H_price: 90266
  89. 1H_correlation_with_coin: 0.052929
    90. ¸

📌 Time Data

Start at Closed at Duration
11 Dec 2025
06:32:55		 11 Dec 2025
07:20:00		 47 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04858 0.0488 0.04814 2 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 0.04858
  • Stop Loss: 0.0488
  • Take Profit: 0.04814

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0488 - 0.04858 = 0.00022

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04858 - 0.04814 = 0.00044

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00044 / 0.00022 = 2

📌 Position Size

Amount Margin Quantity Leverage
1782.7276 100 36696.74 17.83
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 0.00022

Taille de position = 8 / 0.00022 = 36363.64

Taille de position USD = 36363.64 x 0.04858 = 1766.55

Donc, tu peux acheter 36363.64 avec un stoploss a 0.0488

Avec un position size USD de 1766.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 36363.64 x 0.00022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 36363.64 x 0.00044 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 36363.64
  • Taille de position USD 1766.55
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.91 % 16.15 $
SL % Target SL $ Target
0.45 % 8.07 $
PNL PNL %
-8.07 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.9967 % 440.87 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04814
            [entry_price] => 0.04858
            [stop_loss] => 0.048822
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-11 07:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04814
            [entry_price] => 0.04858
            [stop_loss] => 0.048844
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-11 07:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04814
            [entry_price] => 0.04858
            [stop_loss] => 0.048866
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-11 07:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04814
            [entry_price] => 0.04858
            [stop_loss] => 0.04891
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-11 07:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00025
            [max_drawdown] => 0.00329
            [rr_ratio] => 0.08
            [high] => 0.05187000
            [low] => 0.04833000
            [mfe_pct] => 0.51
            [mae_pct] => 6.77
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-12-11T06:32:55-05:00
            [end_at] => 2025-12-11T08:32:55-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0004
            [max_drawdown] => 0.00329
            [rr_ratio] => 0.12
            [high] => 0.05187000
            [low] => 0.04818000
            [mfe_pct] => 0.82
            [mae_pct] => 6.77
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 84
            [start_at] => 2025-12-11T06:32:55-05:00
            [end_at] => 2025-12-11T13:32:55-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04870000
            [high_after] => 0.05187000
            [low_before] => 0.04755000
            [low_after] => 0.04818000
            [is_new_high] => 
            [is_new_low] => 
        )

)