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Short Trade on IP

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Short Trade on IP 16 Sep 2025 at 01:19:05

Take profit at 9.136 (1.78 %) and Stop Loss at 9.3846 (0.89 %)

Short Trade on IP

The 16 Sep 2025 at 01:19:05

With 96.5529 IP at 9.3017$ per unit.

Position size of 898.106 $

Take profit at 9.136 (1.78 %) and Stop Loss at 9.3846 (0.89 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.88
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.53
Prediction 3 Probability
1 0.56
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.281953

15m : 0.087455

1H : 0.05871

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0552374273
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 9.33912
  4. ema21 : 9.48936
  5. ema50 : 9.602
  6. ema100 : 9.6522
  7. price_ema9_diff : -0.0040072
  8. ema9_ema21_diff : -0.0158328
  9. ema21_ema50_diff : -0.0117305
  10. price_ema100_diff : -0.0363131
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.308527
  14. ema_slope_21 : -0.191628
  15. ema_slope_50 : -0.0955451
  16. ema_slope_100 : -0.0506375
  17. rsi : 0.393855
  18. adx : 0.254288
  19. kc_percentage : 0.208161
  20. kc_width_percentage : 0.0661593
  21. volume_ema_diff : 0.570228
  22. volume_ema1 : 1905407.0103341
  23. volume_ema2 : 1213458.1714052
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 9.19186
  27. ema21 : 9.26691
  28. ema50 : 9.42244
  29. ema100 : 9.527
  30. price_ema9_diff : 0.011949
  31. ema9_ema21_diff : -0.00809904
  32. ema21_ema50_diff : -0.0165054
  33. price_ema100_diff : -0.0236495
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.212355
  37. ema_slope_21 : -0.225813
  38. ema_slope_50 : -0.152999
  39. ema_slope_100 : -0.0923529
  40. rsi : 0.493604
  41. adx : 0.377996
  42. kc_percentage : 0.619285
  43. kc_width_percentage : 0.0380761
  44. volume_ema_diff : 0.0220828
  45. volume_ema1 : 454843.39435552
  46. volume_ema2 : 445016.17777599
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 9.19889
  50. ema21 : 9.15334
  51. ema50 : 9.22143
  52. ema100 : 9.34249
  53. price_ema9_diff : 0.0111752
  54. ema9_ema21_diff : 0.00497726
  55. ema21_ema50_diff : -0.00738395
  56. price_ema100_diff : -0.00436617
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.132861
  60. ema_slope_21 : 0.0341305
  61. ema_slope_50 : -0.0378398
  62. ema_slope_100 : -0.0470598
  63. rsi : 0.700085
  64. adx : 0.400868
  65. kc_percentage : 1.11504
  66. kc_width_percentage : 0.0258845
  67. volume_ema_diff : -0.0038733
  68. volume_ema1 : 207895.52997705
  69. volume_ema2 : 208703.90481818
  70. regime : range_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115237
  74. 5m_price_ema100_diff: 
    0.0033084
  75. 5m_price: 
    115618
  76. 5m_correlation_with_coin: 
    0.281953
  77. btc_indicators
  78. 15m_ema100: 
    115284
  79. 15m_price_ema100_diff: 
    0.00289759
  80. 15m_price: 
    115618
  81. 15m_correlation_with_coin: 
    0.087455
  82. btc_indicators
  83. 1H_ema100: 
    115407
  84. 1H_price_ema100_diff: 
    0.0018281
  85. 1H_price: 
    115618
  86. 1H_correlation_with_coin: 
    0.05871
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
01:19:05		 16 Sep 2025
03:45:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.3017 9.3846 9.136 2 0.993
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 9.3017
  • Stop Loss: 9.3846
  • Take Profit: 9.136

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.3846 - 9.3017 = 0.0829

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.3017 - 9.136 = 0.1657

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1657 / 0.0829 = 1.9988

📌 Position Size

Amount Margin Quantity Leverage
898.106 100 96.5529 8.98
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 0.0829

Taille de position = 8 / 0.0829 = 96.5

Taille de position USD = 96.5 x 9.3017 = 897.61

Donc, tu peux acheter 96.5 avec un stoploss a 9.3846

Avec un position size USD de 897.61$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 96.5 x 0.0829 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 96.5 x 0.1657 = 15.99

Si Take Profit atteint, tu gagneras 15.99$

Résumé

  • Taille de position 96.5
  • Taille de position USD 897.61
  • Perte potentielle 8
  • Gain potentiel 15.99
  • Risk-Reward Ratio 1.9988

📌 Peformances

TP % Target TP $ Target
1.78 % 16 $
SL % Target SL $ Target
0.89 % 8 $
PNL PNL %
-8 $ -0.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3084 % 146.81 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.136
            [entry_price] => 9.3017
            [stop_loss] => 9.39289
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 03:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.136
            [entry_price] => 9.3017
            [stop_loss] => 9.40118
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 03:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.136
            [entry_price] => 9.3017
            [stop_loss] => 9.40947
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 03:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.136
            [entry_price] => 9.3017
            [stop_loss] => 9.42605
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 03:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.1073
            [max_drawdown] => 0.023099999999999
            [rr_ratio] => 4.65
            [high] => 9.32480000
            [low] => 9.19440000
            [mfe_pct] => 1.15
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 4.65
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T01:19:05-04:00
            [end_at] => 2025-09-16T03:19:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1073
            [max_drawdown] => 0.3904
            [rr_ratio] => 0.27
            [high] => 9.69210000
            [low] => 9.19440000
            [mfe_pct] => 1.15
            [mae_pct] => 4.2
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T01:19:05-04:00
            [end_at] => 2025-09-16T08:19:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.61410000
            [high_after] => 9.69210000
            [low_before] => 9.00760000
            [low_after] => 9.19440000
            [is_new_high] => 
            [is_new_low] => 
        )

)