Short Trade on BIO 15 Sep 2025 at 16:58:36

Take profit at 0.1596 (1.36 %) and Stop Loss at 0.1629 (0.68 %)

Short Trade on BIO

The 15 Sep 2025 at 16:58:36

With 7335.5426 BIO at 0.1618$ per unit.

Position size of 1186.5974 $

Take profit at 0.1596 (1.36 %) and Stop Loss at 0.1629 (0.68 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.13
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.62
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 : bull_medium

BTC Correlation Score

5m : 0.584314

15m : 0.083265

1H : 0.060784

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.0007270536957
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 0.1593
  4. ema21 : 0.162361
  5. ema50 : 0.16525
  6. ema100 : 0.164049
  7. price_ema9_diff : 0.0154371
  8. ema9_ema21_diff : -0.018851
  9. ema21_ema50_diff : -0.0174799
  10. price_ema100_diff : -0.0139572
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.381315
  14. ema_slope_21 : -0.381874
  15. ema_slope_50 : -0.195727
  16. ema_slope_100 : -0.0711151
  17. rsi : 0.467744
  18. adx : 0.375239
  19. kc_percentage : 0.474835
  20. kc_width_percentage : 0.0882006
  21. volume_ema_diff : -0.372038
  22. volume_ema1 : 1288552.8446855
  23. volume_ema2 : 2051961.7910365
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.159479
  28. ema21 : 0.158582
  29. ema50 : 0.159889
  30. ema100 : 0.163007
  31. price_ema9_diff : 0.0143001
  32. ema9_ema21_diff : 0.00565551
  33. ema21_ema50_diff : -0.00817326
  34. price_ema100_diff : -0.0076537
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.172059
  38. ema_slope_21 : 0.0582534
  39. ema_slope_50 : -0.0347992
  40. ema_slope_100 : -0.0594023
  41. rsi : 0.61629
  42. adx : 0.307342
  43. kc_percentage : 1.047
  44. kc_width_percentage : 0.0357624
  45. volume_ema_diff : -0.179462
  46. volume_ema1 : 265768.73333851
  47. volume_ema2 : 323895.93044576
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.160817
  52. ema21 : 0.159797
  53. ema50 : 0.158649
  54. ema100 : 0.158593
  55. price_ema9_diff : 0.00585759
  56. ema9_ema21_diff : 0.00638726
  57. ema21_ema50_diff : 0.00723428
  58. price_ema100_diff : 0.0199631
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.135899
  62. ema_slope_21 : 0.108727
  63. ema_slope_50 : 0.064817
  64. ema_slope_100 : 0.0285629
  65. rsi : 0.700328
  66. adx : 0.377952
  67. kc_percentage : 1.16765
  68. kc_width_percentage : 0.017513
  69. volume_ema_diff : -0.00683878
  70. volume_ema1 : 105721.82216552
  71. volume_ema2 : 106449.80959106
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114975
  77. 5m_price_ema100_diff:
    0.00229163
  78. 5m_price:
    115238
  79. 5m_correlation_with_coin:
    0.584314
  80. btc_indicators
  81. 15m_ema100:
    115205
  82. 15m_price_ema100_diff:
    5.98042E-5
  83. 15m_price:
    115212
  84. 15m_correlation_with_coin:
    0.083265
  85. btc_indicators
  86. 1H_ema100:
    115314
  87. 1H_price_ema100_diff:
    -0.000652726
  88. 1H_price:
    115238
  89. 1H_correlation_with_coin:
    0.060784
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:58:36
15 Sep 2025
20:15:00
3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1618 0.1629 0.1596 2 0.02272
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 0.1618
  • Stop Loss: 0.1629
  • Take Profit: 0.1596

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1629 - 0.1618 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1618 - 0.1596 = 0.0022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0022 / 0.0011 = 2

📌 Position Size

Amount Margin Quantity Leverage
1186.5974 100 7335.5426 11.87
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.1618 = 1176.73

Donc, tu peux acheter 7272.73 avec un stoploss a 0.1629

Avec un position size USD de 1176.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0022 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 1176.73
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.36 % 16.14 $
SL % Target SL $ Target
0.68 % 8.07 $
PNL PNL %
-8.07 $ -0.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7602 % 111.81 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1596
            [entry_price] => 0.1618
            [stop_loss] => 0.16301
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 20:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1596
            [entry_price] => 0.1618
            [stop_loss] => 0.16312
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 20:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1596
            [entry_price] => 0.1618
            [stop_loss] => 0.16323
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 20:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1596
            [entry_price] => 0.1618
            [stop_loss] => 0.16345
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 20:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00154
            [max_drawdown] => 7.0000000000014E-5
            [rr_ratio] => 22
            [high] => 0.16187000
            [low] => 0.16026000
            [mfe_pct] => 0.95
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 22
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:58:36-04:00
            [end_at] => 2025-09-15T18:58:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00154
            [max_drawdown] => 0.00731
            [rr_ratio] => 0.21
            [high] => 0.16911000
            [low] => 0.16026000
            [mfe_pct] => 0.95
            [mae_pct] => 4.52
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:58:36-04:00
            [end_at] => 2025-09-15T23:58:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16187000
            [high_after] => 0.16911000
            [low_before] => 0.15393000
            [low_after] => 0.16026000
            [is_new_high] => 
            [is_new_low] => 
        )

)