Short Trade on BIO 28 Sep 2025 at 09:18:19

Take profit at 0.1273 (0.86 %) and Stop Loss at 0.129 (0.47 %)

Short Trade on BIO

The 28 Sep 2025 at 09:18:19

With 14087.901 BIO at 0.1284$ per unit.

Position size of 1809.3091 $

Take profit at 0.1273 (0.86 %) and Stop Loss at 0.129 (0.47 %)

That's a 1.83 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.02
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.86
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.521174

15m : 0.005915

1H : 0.2086

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.0003785754414
Details
  1. score: 1.25
  2. 1H
  3. ema9 : 0.12824
  4. ema21 : 0.129358
  5. ema50 : 0.131216
  6. ema100 : 0.133532
  7. price_ema9_diff : 0.00147832
  8. ema9_ema21_diff : -0.00863957
  9. ema21_ema50_diff : -0.0141664
  10. price_ema100_diff : -0.0382085
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.167601
  14. ema_slope_21 : -0.145875
  15. ema_slope_50 : -0.108096
  16. ema_slope_100 : -0.0847804
  17. rsi : 0.408838
  18. adx : 0.403904
  19. kc_percentage : 0.344361
  20. kc_width_percentage : 0.0422244
  21. volume_ema_diff : -0.348482
  22. volume_ema1 : 201060.59700524
  23. volume_ema2 : 308603.28924052
  24. chop : 50.4462
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.127504
  29. ema21 : 0.127692
  30. ema50 : 0.128535
  31. ema100 : 0.129569
  32. price_ema9_diff : 0.00725852
  33. ema9_ema21_diff : -0.00146845
  34. ema21_ema50_diff : -0.00656062
  35. price_ema100_diff : -0.00879397
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0215475
  39. ema_slope_21 : -0.042064
  40. ema_slope_50 : -0.0463255
  41. ema_slope_100 : -0.0382761
  42. rsi : 0.55303
  43. adx : 0.292801
  44. kc_percentage : 0.759348
  45. kc_width_percentage : 0.0229663
  46. volume_ema_diff : -0.51195
  47. volume_ema1 : 31466.46463557
  48. volume_ema2 : 64473.928249987
  49. chop : 54.6387
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.127503
  54. ema21 : 0.127277
  55. ema50 : 0.127471
  56. ema100 : 0.127961
  57. price_ema9_diff : 0.00726539
  58. ema9_ema21_diff : 0.00177734
  59. ema21_ema50_diff : -0.0015219
  60. price_ema100_diff : 0.00366293
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0281303
  64. ema_slope_21 : 9.39318E-5
  65. ema_slope_50 : -0.01241
  66. ema_slope_100 : -0.0147963
  67. rsi : 0.684207
  68. adx : 0.199392
  69. kc_percentage : 1.25179
  70. kc_width_percentage : 0.0119092
  71. volume_ema_diff : -0.407896
  72. volume_ema1 : 11841.817516038
  73. volume_ema2 : 19999.578498591
  74. chop : 30.7449
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109343
  80. 5m_price_ema100_diff:
    -7.49703E-5
  81. 5m_price:
    109334
  82. 5m_correlation_with_coin:
    0.521174
  83. btc_indicators
  84. 15m_ema100:
    109372
  85. 15m_price_ema100_diff:
    -0.000341038
  86. 15m_price:
    109334
  87. 15m_correlation_with_coin:
    0.005915
  88. btc_indicators
  89. 1H_ema100:
    110187
  90. 1H_price_ema100_diff:
    -0.00774057
  91. 1H_price:
    109334
  92. 1H_correlation_with_coin:
    0.2086
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Sep 2025
09:18:19
28 Sep 2025
09:35:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1284 0.129 0.1273 1.83 0.02282
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 0.1284
  • Stop Loss: 0.129
  • Take Profit: 0.1273

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.129 - 0.1284 = 0.00060000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1284 - 0.1273 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.00060000000000002 = 1.8333

📌 Position Size

Amount Margin Quantity Leverage
1809.3091 100 14087.901 18.09
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 0.00060000000000002

Taille de position = 8 / 0.00060000000000002 = 13333.33

Taille de position USD = 13333.33 x 0.1284 = 1712

Donc, tu peux acheter 13333.33 avec un stoploss a 0.129

Avec un position size USD de 1712$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00060000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13333.33 x 0.0011 = 14.67

Si Take Profit atteint, tu gagneras 14.67$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 1712
  • Perte potentielle 8
  • Gain potentiel 14.67
  • Risk-Reward Ratio 1.8333

📌 Peformances

TP % Target TP $ Target
0.86 % 15.5 $
SL % Target SL $ Target
0.47 % 8.45 $
PNL PNL %
-8.45 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6075 % 130 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1273
            [entry_price] => 0.1284
            [stop_loss] => 0.12906
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-28 09:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1273
            [entry_price] => 0.1284
            [stop_loss] => 0.12912
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-28 09:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1273
            [entry_price] => 0.1284
            [stop_loss] => 0.12918
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-28 09:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1273
            [entry_price] => 0.1284
            [stop_loss] => 0.1293
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-28 09:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -5.0000000000022E-5
            [max_drawdown] => 0.00322
            [rr_ratio] => -0.02
            [high] => 0.13162000
            [low] => 0.12845000
            [mfe_pct] => -0.04
            [mae_pct] => 2.51
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 24
            [start_at] => 2025-09-28T09:18:19-04:00
            [end_at] => 2025-09-28T11:18:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -5.0000000000022E-5
            [max_drawdown] => 0.00426
            [rr_ratio] => -0.01
            [high] => 0.13266000
            [low] => 0.12845000
            [mfe_pct] => -0.04
            [mae_pct] => 3.32
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 84
            [start_at] => 2025-09-28T09:18:19-04:00
            [end_at] => 2025-09-28T16:18:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12873000
            [high_after] => 0.13266000
            [low_before] => 0.12614000
            [low_after] => 0.12845000
            [is_new_high] => 
            [is_new_low] => 
        )

)