Long Trade on BIO 08 Sep 2025 at 03:46:24

Take profit at 0.171 (2.33 %) and Stop Loss at 0.1651 (1.2 %)

Long Trade on BIO

The 08 Sep 2025 at 03:46:24

With 4100.4842 BIO at 0.1671$ per unit.

Position size of 685.1089 $

Take profit at 0.171 (2.33 %) and Stop Loss at 0.1651 (1.2 %)

That's a 1.95 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.56
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.074767

15m : -0.040719

1H : -0.014188

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.001300659418
Details
  1. score: 2
  2. 1H
  3. ema9 : 0.168592
  4. ema21 : 0.167059
  5. ema50 : 0.165267
  6. ema100 : 0.159905
  7. price_ema9_diff : -0.00897208
  8. ema9_ema21_diff : 0.0091784
  9. ema21_ema50_diff : 0.0108437
  10. price_ema100_diff : 0.0448675
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.263416
  14. ema_slope_21 : 0.0904526
  15. ema_slope_50 : 0.0623978
  16. ema_slope_100 : 0.101686
  17. rsi : 0.50536
  18. adx : 0.228517
  19. kc_percentage : 0.498105
  20. kc_width_percentage : 0.103847
  21. volume_ema_diff : -0.03439
  22. volume_ema1 : 2183538.91526
  23. volume_ema2 : 2261305.2218011
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.169328
  28. ema21 : 0.169697
  29. ema50 : 0.167848
  30. ema100 : 0.166728
  31. price_ema9_diff : -0.0132797
  32. ema9_ema21_diff : -0.00217436
  33. ema21_ema50_diff : 0.0110177
  34. price_ema100_diff : 0.00210534
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.097227
  38. ema_slope_21 : 0.0669922
  39. ema_slope_50 : 0.0951608
  40. ema_slope_100 : 0.0603402
  41. rsi : 0.4336
  42. adx : 0.286019
  43. kc_percentage : 0.236446
  44. kc_width_percentage : 0.0606648
  45. volume_ema_diff : -0.338745
  46. volume_ema1 : 329266.4644564
  47. volume_ema2 : 497941.81180078
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.167964
  52. ema21 : 0.169499
  53. ema50 : 0.170285
  54. ema100 : 0.169062
  55. price_ema9_diff : -0.00526337
  56. ema9_ema21_diff : -0.00905611
  57. ema21_ema50_diff : -0.00462074
  58. price_ema100_diff : -0.0117251
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.20252
  62. ema_slope_21 : -0.151396
  63. ema_slope_50 : -0.0613493
  64. ema_slope_100 : -0.00998375
  65. rsi : 0.327326
  66. adx : 0.259856
  67. kc_percentage : -0.00240713
  68. kc_width_percentage : 0.027679
  69. volume_ema_diff : -0.464429
  70. volume_ema1 : 100208.42890358
  71. volume_ema2 : 187106.10252169
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111103
  77. 5m_price_ema100_diff:
    0.00222281
  78. 5m_price:
    111350
  79. 5m_correlation_with_coin:
    0.074767
  80. btc_indicators
  81. 15m_ema100:
    110997
  82. 15m_price_ema100_diff:
    0.00318734
  83. 15m_price:
    111350
  84. 15m_correlation_with_coin:
    -0.040719
  85. btc_indicators
  86. 1H_ema100:
    110893
  87. 1H_price_ema100_diff:
    0.00412284
  88. 1H_price:
    111350
  89. 1H_correlation_with_coin:
    -0.014188
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Sep 2025
03:46:24
08 Sep 2025
04:25:00
38 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1671 0.1651 0.171 1.95 0.02283
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 0.1671
  • Stop Loss: 0.1651
  • Take Profit: 0.171

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1651 - 0.1671 = -0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1671 - 0.171 = -0.0039

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0039 / -0.002 = 1.95

📌 Position Size

Amount Margin Quantity Leverage
685.1089 100 4100.4842 6.85
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 -0.002

Taille de position = 8 / -0.002 = -4000

Taille de position USD = -4000 x 0.1671 = -668.4

Donc, tu peux acheter -4000 avec un stoploss a 0.1651

Avec un position size USD de -668.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4000 x -0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4000 x -0.0039 = 15.6

Si Take Profit atteint, tu gagneras 15.6$

Résumé

  • Taille de position -4000
  • Taille de position USD -668.4
  • Perte potentielle 8
  • Gain potentiel 15.6
  • Risk-Reward Ratio 1.95

📌 Peformances

TP % Target TP $ Target
2.33 % 15.99 $
SL % Target SL $ Target
1.2 % 8.2 $
PNL PNL %
-8.2 $ -1.20
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2747 % 106.5 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.171
            [entry_price] => 0.1671
            [stop_loss] => 0.1649
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-08 05:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.171
            [entry_price] => 0.1671
            [stop_loss] => 0.1647
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-08 05:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.171
            [entry_price] => 0.1671
            [stop_loss] => 0.1645
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-08 07:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.171
            [entry_price] => 0.1671
            [stop_loss] => 0.1641
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-08 07:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00119
            [max_drawdown] => 0.00258
            [rr_ratio] => 0.46
            [high] => 0.16829000
            [low] => 0.16452000
            [mfe_pct] => 0.71
            [mae_pct] => 1.54
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 24
            [start_at] => 2025-09-08T03:46:24-04:00
            [end_at] => 2025-09-08T05:46:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00202
            [max_drawdown] => 0.00624
            [rr_ratio] => 0.32
            [high] => 0.16912000
            [low] => 0.16086000
            [mfe_pct] => 1.21
            [mae_pct] => 3.73
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 84
            [start_at] => 2025-09-08T03:46:24-04:00
            [end_at] => 2025-09-08T10:46:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17995000
            [high_after] => 0.16912000
            [low_before] => 0.16614000
            [low_after] => 0.16140000
            [is_new_high] => 
            [is_new_low] => 
        )

)