Short Trade on POL 25 Sep 2025 at 15:37:02

Take profit at 0.2169 (1.14 %) and Stop Loss at 0.2206 (0.55 %)

Short Trade on POL

The 25 Sep 2025 at 15:37:02

With 6411.721 POL at 0.2194$ per unit.

Position size of 1406.7316 $

Take profit at 0.2169 (1.14 %) and Stop Loss at 0.2206 (0.55 %)

That's a 2.08 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 80
ML Pullback Score: 7.43
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_low

BTC Correlation Score

5m : 0.720479

15m : 0.026918

1H : -0.149989

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0008318099545
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.218092
  4. ema21 : 0.219846
  5. ema50 : 0.222902
  6. ema100 : 0.227343
  7. price_ema9_diff : 0.00599588
  8. ema9_ema21_diff : -0.00797873
  9. ema21_ema50_diff : -0.0137091
  10. price_ema100_diff : -0.0349418
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.11911
  14. ema_slope_21 : -0.125887
  15. ema_slope_50 : -0.100299
  16. ema_slope_100 : -0.0862323
  17. rsi : 0.475155
  18. adx : 0.453633
  19. kc_percentage : 0.477301
  20. kc_width_percentage : 0.0629062
  21. volume_ema_diff : 0.868114
  22. volume_ema1 : 1044728.3368884
  23. volume_ema2 : 559242.07348345
  24. chop : 39.7104
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.217583
  29. ema21 : 0.217541
  30. ema50 : 0.218794
  31. ema100 : 0.220606
  32. price_ema9_diff : 0.0083478
  33. ema9_ema21_diff : 0.000192823
  34. ema21_ema50_diff : -0.00572545
  35. price_ema100_diff : -0.00546908
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0629922
  39. ema_slope_21 : -0.0802909
  40. ema_slope_50 : -0.0615088
  41. ema_slope_100 : -0.0467719
  42. rsi : 0.57266
  43. adx : 0.288259
  44. kc_percentage : 0.767538
  45. kc_width_percentage : 0.0322905
  46. volume_ema_diff : -0.0447594
  47. volume_ema1 : 219934.14092031
  48. volume_ema2 : 230239.52477611
  49. chop : 34.6062
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.218798
  54. ema21 : 0.217466
  55. ema50 : 0.217201
  56. ema100 : 0.217868
  57. price_ema9_diff : 0.00274804
  58. ema9_ema21_diff : 0.00612424
  59. ema21_ema50_diff : 0.00122015
  60. price_ema100_diff : 0.0070297
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.175919
  64. ema_slope_21 : 0.110684
  65. ema_slope_50 : 0.0336827
  66. ema_slope_100 : 0.00710573
  67. rsi : 0.684892
  68. adx : 0.369428
  69. kc_percentage : 1.10478
  70. kc_width_percentage : 0.0140803
  71. volume_ema_diff : -0.607282
  72. volume_ema1 : 39671.520311652
  73. volume_ema2 : 101018.07646487
  74. chop : 36.0015
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    110482
  80. 5m_price_ema100_diff:
    -0.0079694
  81. 5m_price:
    109602
  82. 5m_correlation_with_coin:
    0.720479
  83. btc_indicators
  84. 15m_ema100:
    111601
  85. 15m_price_ema100_diff:
    -0.0183348
  86. 15m_price:
    109555
  87. 15m_correlation_with_coin:
    0.026918
  88. btc_indicators
  89. 1H_ema100:
    112693
  90. 1H_price_ema100_diff:
    -0.0274305
  91. 1H_price:
    109602
  92. 1H_correlation_with_coin:
    -0.149989
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
25 Sep 2025
15:37:02
25 Sep 2025
16:30:00
52 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2194 0.2206 0.2169 2.08 0.1116
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 0.2194
  • Stop Loss: 0.2206
  • Take Profit: 0.2169

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2206 - 0.2194 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2194 - 0.2169 = 0.0025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0025 / 0.0012 = 2.0833

📌 Position Size

Amount Margin Quantity Leverage
1406.7316 100 6411.721 14.07
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 0.2194 = 1462.67

Donc, tu peux acheter 6666.67 avec un stoploss a 0.2206

Avec un position size USD de 1462.67$

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 0.0025 = 16.67

Si Take Profit atteint, tu gagneras 16.67$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 1462.67
  • Perte potentielle 8
  • Gain potentiel 16.67
  • Risk-Reward Ratio 2.0833

📌 Peformances

TP % Target TP $ Target
1.14 % 16.03 $
SL % Target SL $ Target
0.55 % 7.69 $
PNL PNL %
16.03 $ 1.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1367 % 25 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.217
            [stop_loss] => 0.2206
            [rr_ratio] => 2
            [closed_at] => 2025-09-25 16:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2164
            [stop_loss] => 0.2206
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-25 16:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2158
            [stop_loss] => 0.2206
            [rr_ratio] => 3
            [closed_at] => 2025-09-25 19:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2152
            [stop_loss] => 0.2206
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-25 19:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2146
            [stop_loss] => 0.2206
            [rr_ratio] => 4
            [closed_at] => 2025-09-25 19:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0035
            [max_drawdown] => 0.00029999999999999
            [rr_ratio] => 11.67
            [high] => 0.21970000
            [low] => 0.21590000
            [mfe_pct] => 1.6
            [mae_pct] => 0.14
            [mfe_mae_ratio] => 11.67
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T15:37:02-04:00
            [end_at] => 2025-09-25T17:37:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.005
            [max_drawdown] => 0.00069999999999998
            [rr_ratio] => 7.14
            [high] => 0.22010000
            [low] => 0.21440000
            [mfe_pct] => 2.28
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 7.14
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T15:37:02-04:00
            [end_at] => 2025-09-25T22:37:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22050000
            [high_after] => 0.22010000
            [low_before] => 0.21050000
            [low_after] => 0.21440000
            [is_new_high] => 
            [is_new_low] => 
        )

)