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Short Trade on BIO

Short Trade on BIO

The 13 Dec 2025 at 02:27:24

With 47760.6746 BIO at 0.04828$ per unit.

Position size of 2305.8854 $

Take profit at 0.04794 (0.7 %) and Stop Loss at 0.04845 (0.35 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.9
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.77
Prediction 2 Probability
0 0.41
Prediction 3 Probability
1 0.77
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 : 0.368712

15m : -0.012705

1H : 0.001745

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0001116678811
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 0.0481487
  4. ema21 - 0.0483793
  5. ema50 - 0.0487941
  6. ema100 - 0.0489604
  7. price_ema9_diff - 0.00272605
  8. ema9_ema21_diff - -0.00476654
  9. ema21_ema50_diff - -0.00850191
  10. price_ema100_diff - -0.013897
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.00235329
  14. ema_slope_21 - -0.0803884
  15. ema_slope_50 - -0.0667426
  16. ema_slope_100 - -0.0371876
  17. rsi - 0.480305
  18. adx - 0.228203
  19. kc_percentage - 0.474476
  20. kc_width_percentage - 0.0637166
  21. volume_ema_diff - -0.474721
  22. volume_ema1 - 86040.065485369
  23. volume_ema2 - 163798.84115754
  24. chop - 44.4329
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0480545
  28. ema21 - 0.0481138
  29. ema50 - 0.0482828
  30. ema100 - 0.0487672
  31. price_ema9_diff - 0.00469084
  32. ema9_ema21_diff - -0.00123101
  33. ema21_ema50_diff - -0.00350143
  34. price_ema100_diff - -0.00999157
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0564756
  38. ema_slope_21 - -0.0483721
  39. ema_slope_50 - -0.0331831
  40. ema_slope_100 - -0.0369545
  41. rsi - 0.559405
  42. adx - 0.174754
  43. kc_percentage - 0.668828
  44. kc_width_percentage - 0.021063
  45. volume_ema_diff - -0.854868
  46. volume_ema1 - 6609.8523232017
  47. volume_ema2 - 45543.999061446
  48. chop - 66.6977
  49. regime - range_medium
    50. ¸
  50. 5m
  51. ema9 - 0.0481688
  52. ema21 - 0.0480443
  53. ema50 - 0.0480972
  54. ema100 - 0.048261
  55. price_ema9_diff - 0.00230854
  56. ema9_ema21_diff - 0.00258963
  57. ema21_ema50_diff - -0.00109902
  58. price_ema100_diff - 0.00039264
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.0699382
  62. ema_slope_21 - 0.0281709
  63. ema_slope_50 - -0.00188065
  64. ema_slope_100 - -0.00919796
  65. rsi - 0.640163
  66. adx - 0.309778
  67. kc_percentage - 1.00938
  68. kc_width_percentage - 0.00943182
  69. volume_ema_diff - -0.314377
  70. volume_ema1 - 4599.4446791057
  71. volume_ema2 - 6708.4172839671
  72. chop - 21.3445
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90300
  77. 5m_price_ema100_diff: 0.000325401
  78. 5m_price: 90329.4
  79. 5m_correlation_with_coin: 0.368712
  80. btc_indicators
  81. 15m_ema100: 90844.7
  82. 15m_price_ema100_diff: -0.00551689
  83. 15m_price: 90343.6
  84. 15m_correlation_with_coin: -0.012705
  85. btc_indicators
  86. 1H_ema100: 91012.7
  87. 1H_price_ema100_diff: -0.00750825
  88. 1H_price: 90329.4
  89. 1H_correlation_with_coin: 0.001745
    90. ¸

📌 Time Data

Start at Closed at Duration
13 Dec 2025
02:27:24		 13 Dec 2025
03:15:00		 47 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04828 0.04845 0.04794 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 0.04828
  • Stop Loss: 0.04845
  • Take Profit: 0.04794

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04845 - 0.04828 = 0.00017

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04828 - 0.04794 = 0.00034

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00034 / 0.00017 = 2

📌 Position Size

Amount Margin Quantity Leverage
2305.8854 100 47760.6746 23.06
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 0.00017

Taille de position = 8 / 0.00017 = 47058.82

Taille de position USD = 47058.82 x 0.04828 = 2272

Donc, tu peux acheter 47058.82 avec un stoploss a 0.04845

Avec un position size USD de 2272$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 47058.82 x 0.00017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 47058.82 x 0.00034 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 47058.82
  • Taille de position USD 2272
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.7 % 16.24 $
SL % Target SL $ Target
0.35 % 8.12 $
PNL PNL %
-8.12 $ -0.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5178 % 147.06 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04794
            [entry_price] => 0.04828
            [stop_loss] => 0.048467
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-13 03:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04794
            [entry_price] => 0.04828
            [stop_loss] => 0.048484
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-13 03:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04794
            [entry_price] => 0.04828
            [stop_loss] => 0.048501
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-13 03:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04794
            [entry_price] => 0.04828
            [stop_loss] => 0.048535
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-13 05:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00023
            [max_drawdown] => 0.00024999999999999
            [rr_ratio] => 0.92
            [high] => 0.04853000
            [low] => 0.04805000
            [mfe_pct] => 0.48
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 0.92
            [candles_analyzed] => 24
            [start_at] => 2025-12-13T02:27:24-05:00
            [end_at] => 2025-12-13T04:27:24-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00023
            [max_drawdown] => 0.00081999999999999
            [rr_ratio] => 0.28
            [high] => 0.04910000
            [low] => 0.04805000
            [mfe_pct] => 0.48
            [mae_pct] => 1.7
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 84
            [start_at] => 2025-12-13T02:27:24-05:00
            [end_at] => 2025-12-13T09:27:24-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04853000
            [high_after] => 0.04910000
            [low_before] => 0.04767000
            [low_after] => 0.04805000
            [is_new_high] => 
            [is_new_low] => 
        )

)