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Short Trade on SKL

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Short Trade on SKL 09 Sep 2025 at 00:33:37

Take profit at 0.02871 (0.59 %) and Stop Loss at 0.02896 (0.28 %)

Short Trade on SKL

The 09 Sep 2025 at 00:33:37

With 94846.5438 SKL at 0.02888$ per unit.

Position size of 2739.1682 $

Take profit at 0.02871 (0.59 %) and Stop Loss at 0.02896 (0.28 %)

That's a 2.12 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.19
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.55
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.429534

15m : 0.059353

1H : -0.04038

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 5.623118272E-5
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.0288387
  4. ema21 : 0.0289307
  5. ema50 : 0.0289836
  6. ema100 : 0.0290302
  7. price_ema9_diff : 0.00143196
  8. ema9_ema21_diff : -0.0031821
  9. ema21_ema50_diff : -0.00182595
  10. price_ema100_diff : -0.00517553
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.098589
  14. ema_slope_21 : -0.0686602
  15. ema_slope_50 : -0.0287626
  16. ema_slope_100 : -0.016212
  17. rsi : 0.480572
  18. adx : 0.262937
  19. kc_percentage : 0.461406
  20. kc_width_percentage : 0.0408659
  21. volume_ema_diff : -0.653962
  22. volume_ema1 : 72200.150440713
  23. volume_ema2 : 208648.42117197
  24. regime : range_high
    25. ¸
  25. 15m
  26. ema9 : 0.0287892
  27. ema21 : 0.0287949
  28. ema50 : 0.0288689
  29. ema100 : 0.0289965
  30. price_ema9_diff : 0.00315302
  31. ema9_ema21_diff : -0.000199808
  32. ema21_ema50_diff : -0.00256326
  33. price_ema100_diff : -0.00402035
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0263138
  37. ema_slope_21 : -0.0229887
  38. ema_slope_50 : -0.0212733
  39. ema_slope_100 : -0.019453
  40. rsi : 0.546667
  41. adx : 0.12304
  42. kc_percentage : 0.69193
  43. kc_width_percentage : 0.0156362
  44. volume_ema_diff : -0.711954
  45. volume_ema1 : 9701.9118068411
  46. volume_ema2 : 33681.925576311
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.0288102
  50. ema21 : 0.0287569
  51. ema50 : 0.0287596
  52. ema100 : 0.0287587
  53. price_ema9_diff : 0.00242203
  54. ema9_ema21_diff : 0.00185196
  55. ema21_ema50_diff : -9.37602E-5
  56. price_ema100_diff : 0.00421548
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0557681
  60. ema_slope_21 : 0.0239051
  61. ema_slope_50 : 0.00379051
  62. ema_slope_100 : 0.00131213
  63. rsi : 0.629247
  64. adx : 0.223536
  65. kc_percentage : 1.06753
  66. kc_width_percentage : 0.00740556
  67. volume_ema_diff : -0.508766
  68. volume_ema1 : 3253.9994668109
  69. volume_ema2 : 6624.1358858078
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    111701
  74. 5m_price_ema100_diff: 
    0.00222599
  75. 5m_price: 
    111950
  76. 5m_correlation_with_coin: 
    0.429534
  77. btc_indicators
  78. 15m_ema100: 
    111747
  79. 15m_price_ema100_diff: 
    0.00181658
  80. 15m_price: 
    111950
  81. 15m_correlation_with_coin: 
    0.059353
  82. btc_indicators
  83. 1H_ema100: 
    111316
  84. 1H_price_ema100_diff: 
    0.00569068
  85. 1H_price: 
    111950
  86. 1H_correlation_with_coin: 
    -0.04038
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
00:33:37		 09 Sep 2025
01:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02888 0.02896 0.02871 2.12 0.00688
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 0.02888
  • Stop Loss: 0.02896
  • Take Profit: 0.02871

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02896 - 0.02888 = 8.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02888 - 0.02871 = 0.00017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00017 / 8.0E-5 = 2.125

📌 Position Size

Amount Margin Quantity Leverage
2739.1682 100 94846.5438 27.39
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 8.0E-5

Taille de position = 8 / 8.0E-5 = 100000

Taille de position USD = 100000 x 0.02888 = 2888

Donc, tu peux acheter 100000 avec un stoploss a 0.02896

Avec un position size USD de 2888$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 100000 x 8.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 100000 x 0.00017 = 17

Si Take Profit atteint, tu gagneras 17$

Résumé

  • Taille de position 100000
  • Taille de position USD 2888
  • Perte potentielle 8
  • Gain potentiel 17
  • Risk-Reward Ratio 2.125

📌 Peformances

TP % Target TP $ Target
0.59 % 16.12 $
SL % Target SL $ Target
0.28 % 7.59 $
PNL PNL %
-7.59 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6579 % 237.51 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02871
            [entry_price] => 0.02888
            [stop_loss] => 0.028968
            [rr_ratio] => 1.93
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 01:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02871
            [entry_price] => 0.02888
            [stop_loss] => 0.028976
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 01:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02871
            [entry_price] => 0.02888
            [stop_loss] => 0.028984
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 01:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02871
            [entry_price] => 0.02888
            [stop_loss] => 0.029
            [rr_ratio] => 1.42
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 01:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00011
            [max_drawdown] => 0.00074
            [rr_ratio] => 0.15
            [high] => 0.02962000
            [low] => 0.02877000
            [mfe_pct] => 0.38
            [mae_pct] => 2.56
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T00:33:37-04:00
            [end_at] => 2025-09-09T02:33:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00011
            [max_drawdown] => 0.00093
            [rr_ratio] => 0.12
            [high] => 0.02981000
            [low] => 0.02877000
            [mfe_pct] => 0.38
            [mae_pct] => 3.22
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T00:33:37-04:00
            [end_at] => 2025-09-09T07:33:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02902000
            [high_after] => 0.02981000
            [low_before] => 0.02846000
            [low_after] => 0.02877000
            [is_new_high] => 
            [is_new_low] => 
        )

)