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Short Trade on BIO

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Short Trade on BIO 30 Sep 2025 at 16:02:22

Take profit at 0.1288 (1.53 %) and Stop Loss at 0.1318 (0.76 %)

Short Trade on BIO

The 30 Sep 2025 at 16:02:22

With 8062.5427 BIO at 0.1308$ per unit.

Position size of 1054.8225 $

Take profit at 0.1288 (1.53 %) and Stop Loss at 0.1318 (0.76 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.36
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.5
Prediction 3 Probability
0 0.58
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium_confirmed

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium_confirmed
BTC Correlation Score

5m : 0.420201

15m : 0.241353

1H : -0.03896

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.42
  4. atr: 0.0006614952056
Details
  1. score: 1.42
  2. 1H
  3. ema9 : 0.129841
  4. ema21 : 0.131391
  5. ema50 : 0.132452
  6. ema100 : 0.133026
  7. price_ema9_diff : 0.00760952
  8. ema9_ema21_diff : -0.0117924
  9. ema21_ema50_diff : -0.0080134
  10. price_ema100_diff : -0.0165117
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.324876
  14. ema_slope_21 : -0.205452
  15. ema_slope_50 : -0.0895246
  16. ema_slope_100 : -0.0471685
  17. rsi : 0.4707
  18. adx : 0.157484
  19. kc_percentage : 0.448188
  20. kc_width_percentage : 0.0695405
  21. volume_ema_diff : 0.0826104
  22. volume_ema1 : 498127.8494172
  23. volume_ema2 : 460117.34546742
  24. chop : 31.5758
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.128631
  28. ema21 : 0.128636
  29. ema50 : 0.130298
  30. ema100 : 0.131908
  31. price_ema9_diff : 0.0170895
  32. ema9_ema21_diff : -3.55795E-5
  33. ema21_ema50_diff : -0.0127543
  34. price_ema100_diff : -0.00817834
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0165723
  38. ema_slope_21 : -0.0743995
  39. ema_slope_50 : -0.0949167
  40. ema_slope_100 : -0.0701205
  41. rsi : 0.607343
  42. adx : 0.288587
  43. kc_percentage : 0.98572
  44. kc_width_percentage : 0.0352683
  45. volume_ema_diff : -0.452618
  46. volume_ema1 : 88601.671133676
  47. volume_ema2 : 161864.55717381
  48. chop : 38.6494
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.129263
  52. ema21 : 0.128319
  53. ema50 : 0.128183
  54. ema100 : 0.129082
  55. price_ema9_diff : 0.012122
  56. ema9_ema21_diff : 0.00735555
  57. ema21_ema50_diff : 0.00106257
  58. price_ema100_diff : 0.0135347
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.148571
  62. ema_slope_21 : 0.0827704
  63. ema_slope_50 : 0.0192835
  64. ema_slope_100 : -0.00889977
  65. rsi : 0.751165
  66. adx : 0.32606
  67. kc_percentage : 1.41658
  68. kc_width_percentage : 0.0205871
  69. volume_ema_diff : -0.272248
  70. volume_ema1 : 41136.65939032
  71. volume_ema2 : 56525.717196131
  72. chop : 25.8584
  73. regime : bull_medium_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113370
  77. 5m_price_ema100_diff: 
    0.00833455
  78. 5m_price: 
    114315
  79. 5m_correlation_with_coin: 
    0.420201
  80. btc_indicators
  81. 15m_ema100: 
    113578
  82. 15m_price_ema100_diff: 
    0.00649376
  83. 15m_price: 
    114315
  84. 15m_correlation_with_coin: 
    0.241353
  85. btc_indicators
  86. 1H_ema100: 
    111885
  87. 1H_price_ema100_diff: 
    0.0217164
  88. 1H_price: 
    114315
  89. 1H_correlation_with_coin: 
    -0.03896
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:02:22		 30 Sep 2025
16:40:00		 37 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1308 0.1318 0.1288 2 0.02049
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 0.1308
  • Stop Loss: 0.1318
  • Take Profit: 0.1288

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1318 - 0.1308 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1308 - 0.1288 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1054.8225 100 8062.5427 10.55
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 0.1308 = 1046.4

Donc, tu peux acheter 8000 avec un stoploss a 0.1318

Avec un position size USD de 1046.4$

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 0.002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8000
  • Taille de position USD 1046.4
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.53 % 16.13 $
SL % Target SL $ Target
0.76 % 8.06 $
PNL PNL %
-8.06 $ -0.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7722 % 101.01 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1288
            [entry_price] => 0.1308
            [stop_loss] => 0.1319
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1288
            [entry_price] => 0.1308
            [stop_loss] => 0.132
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1288
            [entry_price] => 0.1308
            [stop_loss] => 0.1321
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1288
            [entry_price] => 0.1308
            [stop_loss] => 0.1323
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00113
            [max_drawdown] => 0.00189
            [rr_ratio] => 0.6
            [high] => 0.13269000
            [low] => 0.12967000
            [mfe_pct] => 0.86
            [mae_pct] => 1.44
            [mfe_mae_ratio] => 0.6
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:02:22-04:00
            [end_at] => 2025-09-30T18:02:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00275
            [max_drawdown] => 0.00189
            [rr_ratio] => 1.46
            [high] => 0.13269000
            [low] => 0.12805000
            [mfe_pct] => 2.1
            [mae_pct] => 1.44
            [mfe_mae_ratio] => 1.46
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:02:22-04:00
            [end_at] => 2025-09-30T23:02:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13114000
            [high_after] => 0.13269000
            [low_before] => 0.12504000
            [low_after] => 0.12805000
            [is_new_high] => 
            [is_new_low] => 
        )

)