Short Trade on BIO 16 Sep 2025 at 08:18:14

Take profit at 0.1584 (1 %) and Stop Loss at 0.1608 (0.5 %)

Short Trade on BIO

The 16 Sep 2025 at 08:18:14

With 9829.6199 BIO at 0.16$ per unit.

Position size of 1572.7392 $

Take profit at 0.1584 (1 %) and Stop Loss at 0.1608 (0.5 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.43
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.58
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_low

BTC Correlation Score

5m : 0.466492

15m : 0.116218

1H : 0.054216

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0005425777794
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.160037
  4. ema21 : 0.161274
  5. ema50 : 0.163346
  6. ema100 : 0.162443
  7. price_ema9_diff : -0.000237019
  8. ema9_ema21_diff : -0.00766455
  9. ema21_ema50_diff : -0.0126904
  10. price_ema100_diff : -0.0150438
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.0955114
  14. ema_slope_21 : -0.0708038
  15. ema_slope_50 : -0.071445
  16. ema_slope_100 : -0.016962
  17. rsi : 0.455536
  18. adx : 0.207279
  19. kc_percentage : 0.3912
  20. kc_width_percentage : 0.0672457
  21. volume_ema_diff : -0.595786
  22. volume_ema1 : 588012.2115665
  23. volume_ema2 : 1454707.3598706
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.15904
  28. ema21 : 0.159441
  29. ema50 : 0.160439
  30. ema100 : 0.160671
  31. price_ema9_diff : 0.00603259
  32. ema9_ema21_diff : -0.002515
  33. ema21_ema50_diff : -0.00622251
  34. price_ema100_diff : -0.00418165
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0370262
  38. ema_slope_21 : -0.0697932
  39. ema_slope_50 : -0.0537364
  40. ema_slope_100 : -0.0272204
  41. rsi : 0.517675
  42. adx : 0.203198
  43. kc_percentage : 0.643056
  44. kc_width_percentage : 0.0266913
  45. volume_ema_diff : -0.55791
  46. volume_ema1 : 98845.274627762
  47. volume_ema2 : 223586.57687732
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.159124
  52. ema21 : 0.158823
  53. ema50 : 0.159182
  54. ema100 : 0.160421
  55. price_ema9_diff : 0.00550213
  56. ema9_ema21_diff : 0.00189286
  57. ema21_ema50_diff : -0.00225445
  58. price_ema100_diff : -0.0026274
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0482882
  62. ema_slope_21 : 0.0129339
  63. ema_slope_50 : -0.0117052
  64. ema_slope_100 : -0.023125
  65. rsi : 0.696579
  66. adx : 0.240123
  67. kc_percentage : 1.05757
  68. kc_width_percentage : 0.0131224
  69. volume_ema_diff : -0.225857
  70. volume_ema1 : 45082.972981631
  71. volume_ema2 : 58235.994803232
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115458
  77. 5m_price_ema100_diff:
    -0.00134976
  78. 5m_price:
    115302
  79. 5m_correlation_with_coin:
    0.466492
  80. btc_indicators
  81. 15m_ema100:
    115293
  82. 15m_price_ema100_diff:
    7.60788E-5
  83. 15m_price:
    115302
  84. 15m_correlation_with_coin:
    0.116218
  85. btc_indicators
  86. 1H_ema100:
    115379
  87. 1H_price_ema100_diff:
    -0.000662543
  88. 1H_price:
    115302
  89. 1H_correlation_with_coin:
    0.054216
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
08:18:14
16 Sep 2025
08:30:00
11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.16 0.1608 0.1584 2 0.02202
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 0.16
  • Stop Loss: 0.1608
  • Take Profit: 0.1584

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1608 - 0.16 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.16 - 0.1584 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.0008 = 2

📌 Position Size

Amount Margin Quantity Leverage
1572.7392 100 9829.6199 15.73
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.16 = 1600

Donc, tu peux acheter 10000 avec un stoploss a 0.1608

Avec un position size USD de 1600$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 10000
  • Taille de position USD 1600
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1 % 15.73 $
SL % Target SL $ Target
0.5 % 7.86 $
PNL PNL %
-7.86 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5938 % 118.76 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.16
            [stop_loss] => 0.16088
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 08:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.16
            [stop_loss] => 0.16096
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 08:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.16
            [stop_loss] => 0.16104
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 08:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.16
            [stop_loss] => 0.1612
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 08:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00125
            [max_drawdown] => 0.00317
            [rr_ratio] => 0.39
            [high] => 0.16317000
            [low] => 0.15875000
            [mfe_pct] => 0.78
            [mae_pct] => 1.98
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T08:18:14-04:00
            [end_at] => 2025-09-16T10:18:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00125
            [max_drawdown] => 0.00612
            [rr_ratio] => 0.2
            [high] => 0.16612000
            [low] => 0.15875000
            [mfe_pct] => 0.78
            [mae_pct] => 3.82
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T08:18:14-04:00
            [end_at] => 2025-09-16T15:18:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16034000
            [high_after] => 0.16612000
            [low_before] => 0.15690000
            [low_after] => 0.15875000
            [is_new_high] => 
            [is_new_low] => 
        )

)