Short Trade on BIO 15 Sep 2025 at 16:25:08

Take profit at 0.1584 (1.37 %) and Stop Loss at 0.1616 (0.62 %)

Short Trade on BIO

The 15 Sep 2025 at 16:25:08

With 7485.4093 BIO at 0.1606$ per unit.

Position size of 1202.007 $

Take profit at 0.1584 (1.37 %) and Stop Loss at 0.1616 (0.62 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.56
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.74
Prediction 3 Probability
1 0.57
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 : bull_medium

BTC Correlation Score

5m : -0.023576

15m : -0.058488

1H : 0.070868

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0007124972214
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.159064
  4. ema21 : 0.162254
  5. ema50 : 0.165203
  6. ema100 : 0.164026
  7. price_ema9_diff : 0.00952538
  8. ema9_ema21_diff : -0.0196569
  9. ema21_ema50_diff : -0.017854
  10. price_ema100_diff : -0.0210107
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.393096
  14. ema_slope_21 : -0.387128
  15. ema_slope_50 : -0.198006
  16. ema_slope_100 : -0.0722919
  17. rsi : 0.446232
  18. adx : 0.379089
  19. kc_percentage : 0.397388
  20. kc_width_percentage : 0.086582
  21. volume_ema_diff : -0.500838
  22. volume_ema1 : 1007772.3396921
  23. volume_ema2 : 2018928.790449
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.158586
  28. ema21 : 0.158066
  29. ema50 : 0.159786
  30. ema100 : 0.163036
  31. price_ema9_diff : 0.0125722
  32. ema9_ema21_diff : 0.00328812
  33. ema21_ema50_diff : -0.0107665
  34. price_ema100_diff : -0.0150647
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.132451
  38. ema_slope_21 : 0.0196824
  39. ema_slope_50 : -0.0571137
  40. ema_slope_100 : -0.0704793
  41. rsi : 0.61091
  42. adx : 0.303299
  43. kc_percentage : 0.912158
  44. kc_width_percentage : 0.038171
  45. volume_ema_diff : -0.358251
  46. volume_ema1 : 208299.75546504
  47. volume_ema2 : 324581.40082048
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.15975
  52. ema21 : 0.158805
  53. ema50 : 0.157998
  54. ema100 : 0.158251
  55. price_ema9_diff : 0.00519117
  56. ema9_ema21_diff : 0.00595166
  57. ema21_ema50_diff : 0.00510531
  58. price_ema100_diff : 0.0147138
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.11629
  62. ema_slope_21 : 0.0845456
  63. ema_slope_50 : 0.0448417
  64. ema_slope_100 : 0.0150687
  65. rsi : 0.685791
  66. adx : 0.301823
  67. kc_percentage : 1.1304
  68. kc_width_percentage : 0.0169362
  69. volume_ema_diff : -0.531439
  70. volume_ema1 : 45691.230062616
  71. volume_ema2 : 97514.077596544
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114947
  77. 5m_price_ema100_diff:
    0.00317644
  78. 5m_price:
    115313
  79. 5m_correlation_with_coin:
    -0.023576
  80. btc_indicators
  81. 15m_ema100:
    115188
  82. 15m_price_ema100_diff:
    0.00201137
  83. 15m_price:
    115420
  84. 15m_correlation_with_coin:
    -0.058488
  85. btc_indicators
  86. 1H_ema100:
    115315
  87. 1H_price_ema100_diff:
    -2.11574E-5
  88. 1H_price:
    115313
  89. 1H_correlation_with_coin:
    0.070868
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:25:08
15 Sep 2025
16:50:00
24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1606 0.1616 0.1584 2.2 0.02275
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 0.1606
  • Stop Loss: 0.1616
  • Take Profit: 0.1584

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1616 - 0.1606 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1606 - 0.1584 = 0.0022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0022 / 0.001 = 2.2

📌 Position Size

Amount Margin Quantity Leverage
1202.007 100 7485.4093 12.02
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 0.1606 = 1284.8

Donc, tu peux acheter 8000 avec un stoploss a 0.1616

Avec un position size USD de 1284.8$

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 0.0022 = 17.6

Si Take Profit atteint, tu gagneras 17.6$

Résumé

  • Taille de position 8000
  • Taille de position USD 1284.8
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
1.37 % 16.47 $
SL % Target SL $ Target
0.62 % 7.49 $
PNL PNL %
-7.48 $ -0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6725 % 108 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.1606
            [stop_loss] => 0.1617
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 16:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.1606
            [stop_loss] => 0.1618
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 16:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.1606
            [stop_loss] => 0.1619
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 19:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.1606
            [stop_loss] => 0.1621
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 20:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0008
            [max_drawdown] => 0.00127
            [rr_ratio] => 0.63
            [high] => 0.16187000
            [low] => 0.15980000
            [mfe_pct] => 0.5
            [mae_pct] => 0.79
            [mfe_mae_ratio] => 0.63
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:25:08-04:00
            [end_at] => 2025-09-15T18:25:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0008
            [max_drawdown] => 0.00851
            [rr_ratio] => 0.09
            [high] => 0.16911000
            [low] => 0.15980000
            [mfe_pct] => 0.5
            [mae_pct] => 5.3
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:25:08-04:00
            [end_at] => 2025-09-15T23:25:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16085000
            [high_after] => 0.16911000
            [low_before] => 0.15357000
            [low_after] => 0.15980000
            [is_new_high] => 
            [is_new_low] => 
        )

)