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Short Trade on POL

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Short Trade on POL 06 Sep 2025 at 06:55:48

Take profit at 0.2778 (0.64 %) and Stop Loss at 0.2805 (0.32 %)

Short Trade on POL

The 06 Sep 2025 at 06:55:48

With 9046.1132 POL at 0.2796$ per unit.

Position size of 2529.2933 $

Take profit at 0.2778 (0.64 %) and Stop Loss at 0.2805 (0.32 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 7.66
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.55
Prediction 2 Probability
1 0.41
Prediction 3 Probability
0 0.5
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.008303

15m : 0.069123

1H : -0.066427

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0005895718078
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 0.279392
  4. ema21 : 0.280495
  5. ema50 : 0.28136
  6. ema100 : 0.282287
  7. price_ema9_diff : 0.000744097
  8. ema9_ema21_diff : -0.00393416
  9. ema21_ema50_diff : -0.00307262
  10. price_ema100_diff : -0.0095219
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0719772
  14. ema_slope_21 : -0.0521444
  15. ema_slope_50 : -0.0268477
  16. ema_slope_100 : -0.0186002
  17. rsi : 0.471259
  18. adx : 0.116723
  19. kc_percentage : 0.419955
  20. kc_width_percentage : 0.0373506
  21. volume_ema_diff : -0.365478
  22. volume_ema1 : 729856.67182642
  23. volume_ema2 : 1150248.0966268
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.278135
  27. ema21 : 0.278629
  28. ema50 : 0.279817
  29. ema100 : 0.281261
  30. price_ema9_diff : 0.00526681
  31. ema9_ema21_diff : -0.00177386
  32. ema21_ema50_diff : -0.00424698
  33. price_ema100_diff : -0.00590841
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0396823
  37. ema_slope_21 : -0.0498043
  38. ema_slope_50 : -0.0370064
  39. ema_slope_100 : -0.027906
  40. rsi : 0.515419
  41. adx : 0.194657
  42. kc_percentage : 0.73551
  43. kc_width_percentage : 0.015545
  44. volume_ema_diff : -0.365482
  45. volume_ema1 : 121257.6914708
  46. volume_ema2 : 191102.22509349
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 0.278687
  50. ema21 : 0.278091
  51. ema50 : 0.278382
  52. ema100 : 0.279313
  53. price_ema9_diff : 0.00327399
  54. ema9_ema21_diff : 0.00214272
  55. ema21_ema50_diff : -0.00104634
  56. price_ema100_diff : 0.00102394
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0446949
  60. ema_slope_21 : 0.0149562
  61. ema_slope_50 : -0.00547534
  62. ema_slope_100 : -0.0106425
  63. rsi : 0.659667
  64. adx : 0.35159
  65. kc_percentage : 1.11565
  66. kc_width_percentage : 0.00866667
  67. volume_ema_diff : -0.560035
  68. volume_ema1 : 26089.690742094
  69. volume_ema2 : 59299.478618382
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110767
  74. 5m_price_ema100_diff: 
    -0.000599425
  75. 5m_price: 
    110701
  76. 5m_correlation_with_coin: 
    0.008303
  77. btc_indicators
  78. 15m_ema100: 
    111091
  79. 15m_price_ema100_diff: 
    -0.00370302
  80. 15m_price: 
    110680
  81. 15m_correlation_with_coin: 
    0.069123
  82. btc_indicators
  83. 1H_ema100: 
    110949
  84. 1H_price_ema100_diff: 
    -0.00223646
  85. 1H_price: 
    110701
  86. 1H_correlation_with_coin: 
    -0.066427
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Sep 2025
06:55:48		 06 Sep 2025
07:05:00		 9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2796 0.2805 0.2778 2 0.1082
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 0.2796
  • Stop Loss: 0.2805
  • Take Profit: 0.2778

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2805 - 0.2796 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2796 - 0.2778 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.00090000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2529.2933 100 9046.1132 25.29
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 0.00090000000000001

Taille de position = 8 / 0.00090000000000001 = 8888.89

Taille de position USD = 8888.89 x 0.2796 = 2485.33

Donc, tu peux acheter 8888.89 avec un stoploss a 0.2805

Avec un position size USD de 2485.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0018 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 2485.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.64 % 16.28 $
SL % Target SL $ Target
0.32 % 8.14 $
PNL PNL %
-8.14 $ -0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4292 % 133.33 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2778
            [entry_price] => 0.2796
            [stop_loss] => 0.28059
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-06 07:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2778
            [entry_price] => 0.2796
            [stop_loss] => 0.28068
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-06 07:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2778
            [entry_price] => 0.2796
            [stop_loss] => 0.28077
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-06 07:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2778
            [entry_price] => 0.2796
            [stop_loss] => 0.28095
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-06 08:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.004
            [max_drawdown] => 0.0012
            [rr_ratio] => 3.33
            [high] => 0.28080000
            [low] => 0.27560000
            [mfe_pct] => 1.43
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 3.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-06T06:55:48-04:00
            [end_at] => 2025-09-06T08:55:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.006
            [max_drawdown] => 0.0012
            [rr_ratio] => 5
            [high] => 0.28080000
            [low] => 0.27360000
            [mfe_pct] => 2.15
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 5
            [candles_analyzed] => 84
            [start_at] => 2025-09-06T06:55:48-04:00
            [end_at] => 2025-09-06T13:55:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.28010000
            [high_after] => 0.28080000
            [low_before] => 0.27590000
            [low_after] => 0.27360000
            [is_new_high] => 
            [is_new_low] => 1
        )

)