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Short Trade on BIO

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Short Trade on BIO 30 Sep 2025 at 16:35:16

Take profit at 0.1294 (1.37 %) and Stop Loss at 0.1322 (0.76 %)

Short Trade on BIO

The 30 Sep 2025 at 16:35:16

With 8677.1191 BIO at 0.1312$ per unit.

Position size of 1138.6983 $

Take profit at 0.1294 (1.37 %) and Stop Loss at 0.1322 (0.76 %)

That's a 1.8 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 2.28
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.68
Prediction 3 Probability
1 0.72
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.410214

15m : 0.108157

1H : -0.011742

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.0006146433281
Details
  1. score: 1.21
  2. 1H
  3. ema9 : 0.129921
  4. ema21 : 0.131427
  5. ema50 : 0.132468
  6. ema100 : 0.133034
  7. price_ema9_diff : 0.0100678
  8. ema9_ema21_diff : -0.0114571
  9. ema21_ema50_diff : -0.00785636
  10. price_ema100_diff : -0.0135635
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.319942
  14. ema_slope_21 : -0.203203
  15. ema_slope_50 : -0.0885483
  16. ema_slope_100 : -0.0466751
  17. rsi : 0.482223
  18. adx : 0.156086
  19. kc_percentage : 0.488526
  20. kc_width_percentage : 0.0727119
  21. volume_ema_diff : 0.38015
  22. volume_ema1 : 661569.27972623
  23. volume_ema2 : 479345.74903319
  24. chop : 31.6712
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.129419
  28. ema21 : 0.129001
  29. ema50 : 0.130356
  30. ema100 : 0.132064
  31. price_ema9_diff : 0.0139874
  32. ema9_ema21_diff : 0.00323872
  33. ema21_ema50_diff : -0.0103925
  34. price_ema100_diff : -0.00632007
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0951104
  38. ema_slope_21 : -0.0224133
  39. ema_slope_50 : -0.0719665
  40. ema_slope_100 : -0.0623266
  41. rsi : 0.613992
  42. adx : 0.285209
  43. kc_percentage : 0.9827
  44. kc_width_percentage : 0.0355177
  45. volume_ema_diff : -0.189198
  46. volume_ema1 : 137258.40145169
  47. volume_ema2 : 169287.40319688
  48. chop : 36.3265
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.130523
  52. ema21 : 0.129481
  53. ema50 : 0.12877
  54. ema100 : 0.129194
  55. price_ema9_diff : 0.00541047
  56. ema9_ema21_diff : 0.00804875
  57. ema21_ema50_diff : 0.00552312
  58. price_ema100_diff : 0.0157543
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.19432
  62. ema_slope_21 : 0.141903
  63. ema_slope_50 : 0.0642673
  64. ema_slope_100 : 0.0197838
  65. rsi : 0.721488
  66. adx : 0.492512
  67. kc_percentage : 1.20619
  68. kc_width_percentage : 0.0181715
  69. volume_ema_diff : -0.124871
  70. volume_ema1 : 51304.887411256
  71. volume_ema2 : 58625.575156778
  72. chop : 32.0612
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113472
  77. 5m_price_ema100_diff: 
    0.00716714
  78. 5m_price: 
    114285
  79. 5m_correlation_with_coin: 
    0.410214
  80. btc_indicators
  81. 15m_ema100: 
    113637
  82. 15m_price_ema100_diff: 
    0.00570445
  83. 15m_price: 
    114285
  84. 15m_correlation_with_coin: 
    0.108157
  85. btc_indicators
  86. 1H_ema100: 
    111885
  87. 1H_price_ema100_diff: 
    0.0214555
  88. 1H_price: 
    114285
  89. 1H_correlation_with_coin: 
    -0.011742
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:35:16		 30 Sep 2025
16:45:00		 9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1312 0.1322 0.1294 1.8 0.02228
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 0.1312
  • Stop Loss: 0.1322
  • Take Profit: 0.1294

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1322 - 0.1312 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1312 - 0.1294 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.001 = 1.8

📌 Position Size

Amount Margin Quantity Leverage
1138.6983 100 8677.1191 11.39
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 0.1312 = 1049.6

Donc, tu peux acheter 8000 avec un stoploss a 0.1322

Avec un position size USD de 1049.6$

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 0.0018 = 14.4

Si Take Profit atteint, tu gagneras 14.4$

Résumé

  • Taille de position 8000
  • Taille de position USD 1049.6
  • Perte potentielle 8
  • Gain potentiel 14.4
  • Risk-Reward Ratio 1.8

📌 Peformances

TP % Target TP $ Target
1.37 % 15.62 $
SL % Target SL $ Target
0.76 % 8.68 $
PNL PNL %
-8.68 $ -0.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8613 % 113 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1294
            [entry_price] => 0.1312
            [stop_loss] => 0.1323
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1294
            [entry_price] => 0.1312
            [stop_loss] => 0.1324
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1294
            [entry_price] => 0.1312
            [stop_loss] => 0.1325
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 17:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1294
            [entry_price] => 0.1312
            [stop_loss] => 0.1327
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 18:35:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00189
            [max_drawdown] => 0.00149
            [rr_ratio] => 1.27
            [high] => 0.13269000
            [low] => 0.12931000
            [mfe_pct] => 1.44
            [mae_pct] => 1.14
            [mfe_mae_ratio] => 1.27
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:35:16-04:00
            [end_at] => 2025-09-30T18:35:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00315
            [max_drawdown] => 0.00149
            [rr_ratio] => 2.11
            [high] => 0.13269000
            [low] => 0.12805000
            [mfe_pct] => 2.4
            [mae_pct] => 1.14
            [mfe_mae_ratio] => 2.11
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:35:16-04:00
            [end_at] => 2025-09-30T23:35:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13159000
            [high_after] => 0.13269000
            [low_before] => 0.12504000
            [low_after] => 0.12805000
            [is_new_high] => 
            [is_new_low] => 
        )

)