Short Trade on BIO 30 Sep 2025 at 16:14:47

Take profit at 0.128 (1.54 %) and Stop Loss at 0.1311 (0.85 %)

Short Trade on BIO

The 30 Sep 2025 at 16:14:47

With 7757.0917 BIO at 0.13$ per unit.

Position size of 1008.5771 $

Take profit at 0.128 (1.54 %) and Stop Loss at 0.1311 (0.85 %)

That's a 1.82 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.47
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
0 0.48
Prediction 3 Probability
1 0.72
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 : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.40717

15m : -0.058193

1H : 0.078244

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0006875429026
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.129679
  4. ema21 : 0.131317
  5. ema50 : 0.132421
  6. ema100 : 0.13301
  7. price_ema9_diff : 0.00262211
  8. ema9_ema21_diff : -0.0124719
  9. ema21_ema50_diff : -0.00833152
  10. price_ema100_diff : -0.0224829
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.334868
  14. ema_slope_21 : -0.210007
  15. ema_slope_50 : -0.0915016
  16. ema_slope_100 : -0.0481676
  17. rsi : 0.448137
  18. adx : 0.157484
  19. kc_percentage : 0.372025
  20. kc_width_percentage : 0.0723734
  21. volume_ema_diff : 0.18968
  22. volume_ema1 : 555410.19593308
  23. volume_ema2 : 466856.44505752
  24. chop : 31.6429
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.128469
  29. ema21 : 0.128562
  30. ema50 : 0.130266
  31. ema100 : 0.131892
  32. price_ema9_diff : 0.0120671
  33. ema9_ema21_diff : -0.000722919
  34. ema21_ema50_diff : -0.0130788
  35. price_ema100_diff : -0.014199
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.00605637
  39. ema_slope_21 : -0.0791273
  40. ema_slope_50 : -0.0969251
  41. ema_slope_100 : -0.0711253
  42. rsi : 0.56389
  43. adx : 0.288587
  44. kc_percentage : 0.806188
  45. kc_width_percentage : 0.0378876
  46. volume_ema_diff : -0.134751
  47. volume_ema1 : 145884.01764955
  48. volume_ema2 : 168603.65676391
  49. chop : 38.774
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.129421
  54. ema21 : 0.128545
  55. ema50 : 0.128279
  56. ema100 : 0.129015
  57. price_ema9_diff : 0.00462827
  58. ema9_ema21_diff : 0.00680714
  59. ema21_ema50_diff : 0.00207758
  60. price_ema100_diff : 0.00778836
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.156554
  64. ema_slope_21 : 0.0971051
  65. ema_slope_50 : 0.030718
  66. ema_slope_100 : -0.000795022
  67. rsi : 0.663026
  68. adx : 0.375374
  69. kc_percentage : 1.00759
  70. kc_width_percentage : 0.0216488
  71. volume_ema_diff : -0.12491
  72. volume_ema1 : 50504.787597438
  73. volume_ema2 : 57713.859648464
  74. chop : 26.9055
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113393
  80. 5m_price_ema100_diff:
    0.00635209
  81. 5m_price:
    114114
  82. 5m_correlation_with_coin:
    0.40717
  83. btc_indicators
  84. 15m_ema100:
    113574
  85. 15m_price_ema100_diff:
    0.00475581
  86. 15m_price:
    114114
  87. 15m_correlation_with_coin:
    -0.058193
  88. btc_indicators
  89. 1H_ema100:
    111881
  90. 1H_price_ema100_diff:
    0.0199527
  91. 1H_price:
    114114
  92. 1H_correlation_with_coin:
    0.078244
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:14:47
30 Sep 2025
16:20:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.13 0.1311 0.128 1.82 0.0209
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 0.13
  • Stop Loss: 0.1311
  • Take Profit: 0.128

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1311 - 0.13 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.13 - 0.128 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.0011 = 1.8182

📌 Position Size

Amount Margin Quantity Leverage
1008.5771 100 7757.0917 10.09
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.13 = 945.45

Donc, tu peux acheter 7272.73 avec un stoploss a 0.1311

Avec un position size USD de 945.45$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.002 = 14.55

Si Take Profit atteint, tu gagneras 14.55$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 945.45
  • Perte potentielle 8
  • Gain potentiel 14.55
  • Risk-Reward Ratio 1.8182

📌 Peformances

TP % Target TP $ Target
1.54 % 15.51 $
SL % Target SL $ Target
0.85 % 8.53 $
PNL PNL %
-8.53 $ -0.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9154 % 108.18 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.128
            [entry_price] => 0.13
            [stop_loss] => 0.13121
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.128
            [entry_price] => 0.13
            [stop_loss] => 0.13132
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.128
            [entry_price] => 0.13
            [stop_loss] => 0.13143
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 16:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.128
            [entry_price] => 0.13
            [stop_loss] => 0.13165
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 16:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00014
            [max_drawdown] => 0.00269
            [rr_ratio] => 0.05
            [high] => 0.13269000
            [low] => 0.12986000
            [mfe_pct] => 0.11
            [mae_pct] => 2.07
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:14:47-04:00
            [end_at] => 2025-09-30T18:14:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00195
            [max_drawdown] => 0.00269
            [rr_ratio] => 0.72
            [high] => 0.13269000
            [low] => 0.12805000
            [mfe_pct] => 1.5
            [mae_pct] => 2.07
            [mfe_mae_ratio] => 0.72
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:14:47-04:00
            [end_at] => 2025-09-30T23:14:47-04:00
        )

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

)