Short Trade on S 10 Sep 2025 at 21:02:26

Take profit at 0.3006 (0.36 %) and Stop Loss at 0.3022 (0.17 %)

Short Trade on S

The 10 Sep 2025 at 21:02:26

With 15151.3881 S at 0.3017$ per unit.

Position size of 4571.1738 $

Take profit at 0.3006 (0.36 %) and Stop Loss at 0.3022 (0.17 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.98
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.68
Prediction 2 Probability
1 0.52
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : bull_low

BTC Correlation Score

5m : 0.470873

15m : -0.150722

1H : 0.034001

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.37
  4. atr: 0.0003520029508
Details
  1. score: 1.37
  2. 1H
  3. ema9 : 0.300719
  4. ema21 : 0.302133
  5. ema50 : 0.304507
  6. ema100 : 0.304847
  7. price_ema9_diff : 0.00326064
  8. ema9_ema21_diff : -0.00468118
  9. ema21_ema50_diff : -0.00779674
  10. price_ema100_diff : -0.0103257
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.10944
  14. ema_slope_21 : -0.0970896
  15. ema_slope_50 : -0.0655697
  16. ema_slope_100 : -0.0310221
  17. rsi : 0.465768
  18. adx : 0.329631
  19. kc_percentage : 0.470507
  20. kc_width_percentage : 0.0345822
  21. volume_ema_diff : -0.49791
  22. volume_ema1 : 175380.50871793
  23. volume_ema2 : 349301.00955833
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.300476
  28. ema21 : 0.29989
  29. ema50 : 0.300626
  30. ema100 : 0.30167
  31. price_ema9_diff : 0.0040714
  32. ema9_ema21_diff : 0.00195462
  33. ema21_ema50_diff : -0.00244957
  34. price_ema100_diff : 9.8121E-5
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0617978
  38. ema_slope_21 : 0.0245556
  39. ema_slope_50 : -0.00820672
  40. ema_slope_100 : -0.0118303
  41. rsi : 0.613271
  42. adx : 0.184476
  43. kc_percentage : 1.01621
  44. kc_width_percentage : 0.01158
  45. volume_ema_diff : -0.6526
  46. volume_ema1 : 38415.468782427
  47. volume_ema2 : 110580.00067197
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 0.301035
  52. ema21 : 0.300442
  53. ema50 : 0.29975
  54. ema100 : 0.299744
  55. price_ema9_diff : 0.00220652
  56. ema9_ema21_diff : 0.0019746
  57. ema21_ema50_diff : 0.00230707
  58. price_ema100_diff : 0.00652435
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.031116
  62. ema_slope_21 : 0.024714
  63. ema_slope_50 : 0.0169859
  64. ema_slope_100 : 0.00720524
  65. rsi : 0.707446
  66. adx : 0.455614
  67. kc_percentage : 1.37204
  68. kc_width_percentage : 0.00463168
  69. volume_ema_diff : -0.0361187
  70. volume_ema1 : 17757.298812604
  71. volume_ema2 : 18422.703457977
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113709
  77. 5m_price_ema100_diff:
    0.00103097
  78. 5m_price:
    113827
  79. 5m_correlation_with_coin:
    0.470873
  80. btc_indicators
  81. 15m_ema100:
    112959
  82. 15m_price_ema100_diff:
    0.00768209
  83. 15m_price:
    113827
  84. 15m_correlation_with_coin:
    -0.150722
  85. btc_indicators
  86. 1H_ema100:
    111967
  87. 1H_price_ema100_diff:
    0.0166092
  88. 1H_price:
    113827
  89. 1H_correlation_with_coin:
    0.034001
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
21:02:26
10 Sep 2025
23:25:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3017 0.3022 0.3006 2.2 0.04039
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 0.3017
  • Stop Loss: 0.3022
  • Take Profit: 0.3006

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3022 - 0.3017 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3017 - 0.3006 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.0005 = 2.2

📌 Position Size

Amount Margin Quantity Leverage
4571.1738 100 15151.3881 45.71
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.3017 = 4827.2

Donc, tu peux acheter 16000 avec un stoploss a 0.3022

Avec un position size USD de 4827.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.0011 = 17.6

Si Take Profit atteint, tu gagneras 17.6$

Résumé

  • Taille de position 16000
  • Taille de position USD 4827.2
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
0.36 % 16.67 $
SL % Target SL $ Target
0.17 % 7.58 $
PNL PNL %
-7.58 $ -0.17
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.232 % 140.01 % 13

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3006
            [entry_price] => 0.3017
            [stop_loss] => 0.30225
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 23:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3006
            [entry_price] => 0.3017
            [stop_loss] => 0.3023
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 23:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3006
            [entry_price] => 0.3017
            [stop_loss] => 0.30235
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 23:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3006
            [entry_price] => 0.3017
            [stop_loss] => 0.30245
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 23:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001
            [max_drawdown] => 0.00029999999999997
            [rr_ratio] => 3.33
            [high] => 0.30200000
            [low] => 0.30070000
            [mfe_pct] => 0.33
            [mae_pct] => 0.1
            [mfe_mae_ratio] => 3.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T21:02:26-04:00
            [end_at] => 2025-09-10T23:02:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.0023
            [rr_ratio] => 0.52
            [high] => 0.30400000
            [low] => 0.30050000
            [mfe_pct] => 0.4
            [mae_pct] => 0.76
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T21:02:26-04:00
            [end_at] => 2025-09-11T04:02:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.30200000
            [high_after] => 0.30330000
            [low_before] => 0.29750000
            [low_after] => 0.30050000
            [is_new_high] => 
            [is_new_low] => 
        )

)