Short Trade on POL 16 Sep 2025 at 11:58:33

Take profit at 0.2546 (0.93 %) and Stop Loss at 0.2582 (0.47 %)

Short Trade on POL

The 16 Sep 2025 at 11:58:33

With 6742.0627 POL at 0.257$ per unit.

Position size of 1732.7101 $

Take profit at 0.2546 (0.93 %) and Stop Loss at 0.2582 (0.47 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.09
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.79
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.566895

15m : 0.185211

1H : -0.014275

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0007910536588
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.257087
  4. ema21 : 0.258131
  5. ema50 : 0.262595
  6. ema100 : 0.266908
  7. price_ema9_diff : -0.000340238
  8. ema9_ema21_diff : -0.00404572
  9. ema21_ema50_diff : -0.0169969
  10. price_ema100_diff : -0.0371225
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 0.0261505
  14. ema_slope_21 : -0.0471272
  15. ema_slope_50 : -0.0975661
  16. ema_slope_100 : -0.0782981
  17. rsi : 0.438682
  18. adx : 0.376218
  19. kc_percentage : 0.401994
  20. kc_width_percentage : 0.0397321
  21. volume_ema_diff : -0.137833
  22. volume_ema1 : 498373.31455518
  23. volume_ema2 : 578047.78920392
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.2553
  28. ema21 : 0.256187
  29. ema50 : 0.256905
  30. ema100 : 0.257367
  31. price_ema9_diff : 0.00665845
  32. ema9_ema21_diff : -0.00346356
  33. ema21_ema50_diff : -0.00279686
  34. price_ema100_diff : -0.00142907
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.111247
  38. ema_slope_21 : -0.0801965
  39. ema_slope_50 : -0.0373182
  40. ema_slope_100 : -0.0204349
  41. rsi : 0.448596
  42. adx : 0.346021
  43. kc_percentage : 0.654278
  44. kc_width_percentage : 0.0219495
  45. volume_ema_diff : -0.4502
  46. volume_ema1 : 67353.207032502
  47. volume_ema2 : 122505.08073907
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.255608
  52. ema21 : 0.255299
  53. ema50 : 0.255972
  54. ema100 : 0.25681
  55. price_ema9_diff : 0.00544561
  56. ema9_ema21_diff : 0.00120783
  57. ema21_ema50_diff : -0.00262774
  58. price_ema100_diff : 0.000739682
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0316521
  62. ema_slope_21 : 0.00390519
  63. ema_slope_50 : -0.0154047
  64. ema_slope_100 : -0.0146106
  65. rsi : 0.627568
  66. adx : 0.262675
  67. kc_percentage : 1.0609
  68. kc_width_percentage : 0.011827
  69. volume_ema_diff : -0.686984
  70. volume_ema1 : 12488.316581232
  71. volume_ema2 : 39896.832615757
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115337
  77. 5m_price_ema100_diff:
    0.00276251
  78. 5m_price:
    115656
  79. 5m_correlation_with_coin:
    0.566895
  80. btc_indicators
  81. 15m_ema100:
    115200
  82. 15m_price_ema100_diff:
    0.00199245
  83. 15m_price:
    115430
  84. 15m_correlation_with_coin:
    0.185211
  85. btc_indicators
  86. 1H_ema100:
    115384
  87. 1H_price_ema100_diff:
    0.00235218
  88. 1H_price:
    115656
  89. 1H_correlation_with_coin:
    -0.014275
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
11:58:33
16 Sep 2025
13:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.257 0.2582 0.2546 2 0.1127
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 0.257
  • Stop Loss: 0.2582
  • Take Profit: 0.2546

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2582 - 0.257 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.257 - 0.2546 = 0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0024 / 0.0012 = 2

📌 Position Size

Amount Margin Quantity Leverage
1732.7101 100 6742.0627 17.33
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.257 = 1713.33

Donc, tu peux acheter 6666.67 avec un stoploss a 0.2582

Avec un position size USD de 1713.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 1713.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.93 % 16.18 $
SL % Target SL $ Target
0.47 % 8.09 $
PNL PNL %
-8.09 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6226 % 133.35 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2546
            [entry_price] => 0.257
            [stop_loss] => 0.25832
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 13:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2546
            [entry_price] => 0.257
            [stop_loss] => 0.25844
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 13:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2546
            [entry_price] => 0.257
            [stop_loss] => 0.25856
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 13:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2546
            [entry_price] => 0.257
            [stop_loss] => 0.2588
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 13:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 0.0023
            [rr_ratio] => 0.87
            [high] => 0.25930000
            [low] => 0.25500000
            [mfe_pct] => 0.78
            [mae_pct] => 0.89
            [mfe_mae_ratio] => 0.87
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T11:58:33-04:00
            [end_at] => 2025-09-16T13:58:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 0.0031
            [rr_ratio] => 0.65
            [high] => 0.26010000
            [low] => 0.25500000
            [mfe_pct] => 0.78
            [mae_pct] => 1.21
            [mfe_mae_ratio] => 0.65
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T11:58:33-04:00
            [end_at] => 2025-09-16T18:58:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.26020000
            [high_after] => 0.25970000
            [low_before] => 0.25340000
            [low_after] => 0.25500000
            [is_new_high] => 
            [is_new_low] => 
        )

)