Long Trade on BIO 29 Sep 2025 at 20:29:06

Take profit at 0.1365 (1.04 %) and Stop Loss at 0.1344 (0.52 %)

Long Trade on BIO

The 29 Sep 2025 at 20:29:06

With 11485.0741 BIO at 0.1351$ per unit.

Position size of 1551.1741 $

Take profit at 0.1365 (1.04 %) and Stop Loss at 0.1344 (0.52 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.92
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.84
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.458591

15m : 0.010181

1H : 0.01639

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0004643708234
Details
  1. score: 2.05
  2. 1H
  3. ema9 : 0.135721
  4. ema21 : 0.134716
  5. ema50 : 0.133469
  6. ema100 : 0.132784
  7. price_ema9_diff : -0.00487242
  8. ema9_ema21_diff : 0.00745529
  9. ema21_ema50_diff : 0.00934476
  10. price_ema100_diff : 0.0171341
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.206922
  14. ema_slope_21 : 0.137407
  15. ema_slope_50 : 0.0832493
  16. ema_slope_100 : 0.0475908
  17. rsi : 0.51969
  18. adx : 0.209087
  19. kc_percentage : 0.531152
  20. kc_width_percentage : 0.0648282
  21. volume_ema_diff : -0.243577
  22. volume_ema1 : 243736.66943392
  23. volume_ema2 : 322222.99074745
  24. chop : 42.3944
  25. regime : bull_high
  26. ¸
  27. 15m
  28. ema9 : 0.136201
  29. ema21 : 0.13613
  30. ema50 : 0.135323
  31. ema100 : 0.134914
  32. price_ema9_diff : -0.00838113
  33. ema9_ema21_diff : 0.000524075
  34. ema21_ema50_diff : 0.00595866
  35. price_ema100_diff : 0.00108116
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0178488
  39. ema_slope_21 : 0.0495225
  40. ema_slope_50 : 0.0513333
  41. ema_slope_100 : 0.0305182
  42. rsi : 0.432391
  43. adx : 0.243034
  44. kc_percentage : 0.185657
  45. kc_width_percentage : 0.0259156
  46. volume_ema_diff : -0.488179
  47. volume_ema1 : 44495.569547228
  48. volume_ema2 : 86935.81086416
  49. chop : 51.6877
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.135638
  54. ema21 : 0.136144
  55. ema50 : 0.136293
  56. ema100 : 0.13591
  57. price_ema9_diff : -0.00426579
  58. ema9_ema21_diff : -0.00371318
  59. ema21_ema50_diff : -0.00109309
  60. price_ema100_diff : -0.00625644
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : -0.0527179
  64. ema_slope_21 : -0.0419304
  65. ema_slope_50 : -0.0136333
  66. ema_slope_100 : 0.000966703
  67. rsi : 0.335525
  68. adx : 0.297644
  69. kc_percentage : -0.0547803
  70. kc_width_percentage : 0.0141006
  71. volume_ema_diff : -0.0183924
  72. volume_ema1 : 21429.329318172
  73. volume_ema2 : 21830.852720871
  74. chop : 33.9948
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    114076
  80. 5m_price_ema100_diff:
    6.85411E-5
  81. 5m_price:
    114084
  82. 5m_correlation_with_coin:
    0.458591
  83. btc_indicators
  84. 15m_ema100:
    113175
  85. 15m_price_ema100_diff:
    0.00771297
  86. 15m_price:
    114048
  87. 15m_correlation_with_coin:
    0.010181
  88. btc_indicators
  89. 1H_ema100:
    110945
  90. 1H_price_ema100_diff:
    0.0282884
  91. 1H_price:
    114084
  92. 1H_correlation_with_coin:
    0.01639
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
20:29:06
29 Sep 2025
20:50:00
20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1351 0.1344 0.1365 2 0.02289
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 0.1351
  • Stop Loss: 0.1344
  • Take Profit: 0.1365

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1344 - 0.1351 = -0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1351 - 0.1365 = -0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0014 / -0.00070000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1551.1741 100 11485.0741 15.51
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 -0.00070000000000001

Taille de position = 8 / -0.00070000000000001 = -11428.57

Taille de position USD = -11428.57 x 0.1351 = -1544

Donc, tu peux acheter -11428.57 avec un stoploss a 0.1344

Avec un position size USD de -1544$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -11428.57 x -0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -11428.57 x -0.0014 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -11428.57
  • Taille de position USD -1544
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.04 % 16.08 $
SL % Target SL $ Target
0.52 % 8.04 $
PNL PNL %
-8.04 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6218 % 120.02 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1365
            [entry_price] => 0.1351
            [stop_loss] => 0.13433
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 20:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1365
            [entry_price] => 0.1351
            [stop_loss] => 0.13426
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 20:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1365
            [entry_price] => 0.1351
            [stop_loss] => 0.13419
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 20:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1365
            [entry_price] => 0.1351
            [stop_loss] => 0.13405
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 21:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00095999999999999
            [max_drawdown] => 0.00164
            [rr_ratio] => 0.59
            [high] => 0.13606000
            [low] => 0.13346000
            [mfe_pct] => 0.71
            [mae_pct] => 1.21
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T20:29:06-04:00
            [end_at] => 2025-09-29T22:29:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0017
            [max_drawdown] => 0.00228
            [rr_ratio] => 0.75
            [high] => 0.13680000
            [low] => 0.13282000
            [mfe_pct] => 1.26
            [mae_pct] => 1.69
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T20:29:06-04:00
            [end_at] => 2025-09-30T03:29:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13868000
            [high_after] => 0.13606000
            [low_before] => 0.13453000
            [low_after] => 0.13282000
            [is_new_high] => 
            [is_new_low] => 
        )

)