Long Trade on BIO 06 Sep 2025 at 05:21:34

Take profit at 0.1793 (3.7 %) and Stop Loss at 0.1697 (1.85 %)

Long Trade on BIO

The 06 Sep 2025 at 05:21:34

With 2511.1556 BIO at 0.1729$ per unit.

Position size of 434.1286 $

Take profit at 0.1793 (3.7 %) and Stop Loss at 0.1697 (1.85 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.93
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.79
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.203443

15m : -0.049727

1H : -0.043445

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.002123856163
Details
  1. score: 2.03
  2. 1H
  3. ema9 : 0.177475
  4. ema21 : 0.169948
  5. ema50 : 0.157913
  6. ema100 : 0.150989
  7. price_ema9_diff : -0.0258911
  8. ema9_ema21_diff : 0.0442881
  9. ema21_ema50_diff : 0.0762093
  10. price_ema100_diff : 0.144979
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.963969
  14. ema_slope_21 : 1.03559
  15. ema_slope_50 : 0.726691
  16. ema_slope_100 : 0.430634
  17. rsi : 0.57314
  18. adx : 0.643856
  19. kc_percentage : 0.57919
  20. kc_width_percentage : 0.167923
  21. volume_ema_diff : 0.386943
  22. volume_ema1 : 5303488.9139045
  23. volume_ema2 : 3823867.9366409
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.177744
  28. ema21 : 0.178918
  29. ema50 : 0.175075
  30. ema100 : 0.166788
  31. price_ema9_diff : -0.0273677
  32. ema9_ema21_diff : -0.00655913
  33. ema21_ema50_diff : 0.021945
  34. price_ema100_diff : 0.0365236
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.131394
  38. ema_slope_21 : -0.00285597
  39. ema_slope_50 : 0.133063
  40. ema_slope_100 : 0.179883
  41. rsi : 0.391165
  42. adx : 0.214672
  43. kc_percentage : 0.10136
  44. kc_width_percentage : 0.0878647
  45. volume_ema_diff : 0.0223703
  46. volume_ema1 : 1521086.2711956
  47. volume_ema2 : 1487803.5927547
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.175354
  52. ema21 : 0.177518
  53. ema50 : 0.179215
  54. ema100 : 0.179472
  55. price_ema9_diff : -0.0141129
  56. ema9_ema21_diff : -0.0121896
  57. ema21_ema50_diff : -0.00947019
  58. price_ema100_diff : -0.0367305
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.195431
  62. ema_slope_21 : -0.15174
  63. ema_slope_50 : -0.0792297
  64. ema_slope_100 : -0.0362056
  65. rsi : 0.297934
  66. adx : 0.259614
  67. kc_percentage : -0.0316838
  68. kc_width_percentage : 0.0491005
  69. volume_ema_diff : -0.0969018
  70. volume_ema1 : 489026.58753892
  71. volume_ema2 : 541498.84095288
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110776
  77. 5m_price_ema100_diff:
    -0.000850831
  78. 5m_price:
    110682
  79. 5m_correlation_with_coin:
    0.203443
  80. btc_indicators
  81. 15m_ema100:
    111212
  82. 15m_price_ema100_diff:
    -0.00476791
  83. 15m_price:
    110682
  84. 15m_correlation_with_coin:
    -0.049727
  85. btc_indicators
  86. 1H_ema100:
    110973
  87. 1H_price_ema100_diff:
    -0.002619
  88. 1H_price:
    110682
  89. 1H_correlation_with_coin:
    -0.043445
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Sep 2025
05:21:34
06 Sep 2025
06:20:00
58 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1729 0.1697 0.1793 2 0.02055
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 0.1729
  • Stop Loss: 0.1697
  • Take Profit: 0.1793

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1697 - 0.1729 = -0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1729 - 0.1793 = -0.0064

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0064 / -0.0032 = 2

📌 Position Size

Amount Margin Quantity Leverage
434.1286 100 2511.1556 4.34
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 -0.0032

Taille de position = 8 / -0.0032 = -2500

Taille de position USD = -2500 x 0.1729 = -432.25

Donc, tu peux acheter -2500 avec un stoploss a 0.1697

Avec un position size USD de -432.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2500 x -0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2500 x -0.0064 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -2500
  • Taille de position USD -432.25
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.7 % 16.07 $
SL % Target SL $ Target
1.85 % 8.04 $
PNL PNL %
-8.03 $ -1.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.4754 % 133.75 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1793
            [entry_price] => 0.1729
            [stop_loss] => 0.16938
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-06 06:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1793
            [entry_price] => 0.1729
            [stop_loss] => 0.16906
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-06 06:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1793
            [entry_price] => 0.1729
            [stop_loss] => 0.16874
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-06 06:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1793
            [entry_price] => 0.1729
            [stop_loss] => 0.1681
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-06 06:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00173
            [max_drawdown] => 0.00581
            [rr_ratio] => 0.3
            [high] => 0.17463000
            [low] => 0.16709000
            [mfe_pct] => 1
            [mae_pct] => 3.36
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-09-06T05:21:34-04:00
            [end_at] => 2025-09-06T07:21:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00669
            [max_drawdown] => 0.00581
            [rr_ratio] => 1.15
            [high] => 0.17959000
            [low] => 0.16709000
            [mfe_pct] => 3.87
            [mae_pct] => 3.36
            [mfe_mae_ratio] => 1.15
            [candles_analyzed] => 84
            [start_at] => 2025-09-06T05:21:34-04:00
            [end_at] => 2025-09-06T12:21:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.18593000
            [high_after] => 0.17959000
            [low_before] => 0.17155000
            [low_after] => 0.16709000
            [is_new_high] => 
            [is_new_low] => 
        )

)