Web3Way Logo

Short Trade on POL

Previous Trade Next Trade

Short Trade on POL 30 Sep 2025 at 15:47:13

Take profit at 0.2219 (0.67 %) and Stop Loss at 0.2242 (0.36 %)

Short Trade on POL

The 30 Sep 2025 at 15:47:13

With 10649.3316 POL at 0.2234$ per unit.

Position size of 2379.0607 $

Take profit at 0.2219 (0.67 %) and Stop Loss at 0.2242 (0.36 %)

That's a 1.87 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.05
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.65
Prediction 3 Probability
1 0.62
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

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 : 0.667714

15m : -0.134983

1H : 0.118073

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.0005008139026
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 0.222775
  4. ema21 : 0.223847
  5. ema50 : 0.224641
  6. ema100 : 0.224284
  7. price_ema9_diff : 0.00280285
  8. ema9_ema21_diff : -0.00478877
  9. ema21_ema50_diff : -0.00353399
  10. price_ema100_diff : -0.00394548
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0992721
  14. ema_slope_21 : -0.0759953
  15. ema_slope_50 : -0.0362996
  16. ema_slope_100 : -0.0118589
  17. rsi : 0.473036
  18. adx : 0.2012
  19. kc_percentage : 0.451468
  20. kc_width_percentage : 0.0349353
  21. volume_ema_diff : 0.102815
  22. volume_ema1 : 322043.0661461
  23. volume_ema2 : 292019.04208543
  24. chop : 49.2797
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 0.222175
  28. ema21 : 0.222142
  29. ema50 : 0.222989
  30. ema100 : 0.223946
  31. price_ema9_diff : 0.00551003
  32. ema9_ema21_diff : 0.000151262
  33. ema21_ema50_diff : -0.00379977
  34. price_ema100_diff : -0.00244131
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0145738
  38. ema_slope_21 : -0.0246252
  39. ema_slope_50 : -0.0304202
  40. ema_slope_100 : -0.0235978
  41. rsi : 0.588567
  42. adx : 0.197007
  43. kc_percentage : 0.854228
  44. kc_width_percentage : 0.0161989
  45. volume_ema_diff : -0.517224
  46. volume_ema1 : 40940.704630939
  47. volume_ema2 : 84802.797059234
  48. chop : 52.061
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.222564
  52. ema21 : 0.222016
  53. ema50 : 0.221894
  54. ema100 : 0.222345
  55. price_ema9_diff : 0.00375424
  56. ema9_ema21_diff : 0.00246655
  57. ema21_ema50_diff : 0.000552455
  58. price_ema100_diff : 0.00474253
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0520711
  62. ema_slope_21 : 0.0352533
  63. ema_slope_50 : 0.0108547
  64. ema_slope_100 : -0.000148943
  65. rsi : 0.677185
  66. adx : 0.283952
  67. kc_percentage : 1.19275
  68. kc_width_percentage : 0.00875525
  69. volume_ema_diff : -0.560331
  70. volume_ema1 : 11495.538496406
  71. volume_ema2 : 26145.950063504
  72. chop : 41.6165
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113283
  77. 5m_price_ema100_diff: 
    0.00801783
  78. 5m_price: 
    114191
  79. 5m_correlation_with_coin: 
    0.667714
  80. btc_indicators
  81. 15m_ema100: 
    113564
  82. 15m_price_ema100_diff: 
    0.00552654
  83. 15m_price: 
    114191
  84. 15m_correlation_with_coin: 
    -0.134983
  85. btc_indicators
  86. 1H_ema100: 
    111772
  87. 1H_price_ema100_diff: 
    0.0216427
  88. 1H_price: 
    114191
  89. 1H_correlation_with_coin: 
    0.118073
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-29 01:00:00
                    [1] => 0.2266
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-29 02:00:00
                    [1] => 0.2297
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-29 09:00:00
                    [1] => 0.2231
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-29 11:00:00
                    [1] => 0.2296
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-29 17:00:00
                    [1] => 0.2293
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 21:00:00
                    [1] => 0.2236
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 01:00:00
                    [1] => 0.2267
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 05:00:00
                    [1] => 0.2228
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 09:00:00
                    [1] => 0.2263
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.2197
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -1.1489173663279
            [ms_dist_from_last_low_pct] => 1.820664542558
            [ms_bars_since_swing_high] => 6
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 3.0040964952208
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-29 20:15:00
                    [1] => 0.2239
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-29 21:45:00
                    [1] => 0.2236
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-30 01:45:00
                    [1] => 0.2267
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 05:30:00
                    [1] => 0.2247
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-30 05:45:00
                    [1] => 0.2228
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-30 07:15:00
                    [1] => 0.2228
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 09:00:00
                    [1] => 0.2231
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.2263
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.2197
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:45:00
                    [1] => 0.2237
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.820664542558
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 1.820664542558
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-30 12:20:00
                    [1] => 0.222
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-30 12:40:00
                    [1] => 0.2202
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-30 13:05:00
                    [1] => 0.2212
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 13:15:00
                    [1] => 0.2204
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 13:40:00
                    [1] => 0.2214
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.2197
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 14:15:00
                    [1] => 0.2218
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.2226
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 15:15:00
                    [1] => 0.2215
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:45:00
                    [1] => 0.2237
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 0.99322799097066
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 0.99322799097066
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
0.99%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
0.99%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-30 12:20:00 0.222 ↑ High
2025-09-30 12:40:00 0.2202 ↓ Low
2025-09-30 13:05:00 0.2212 ↑ High
2025-09-30 13:15:00 0.2204 ↓ Low
2025-09-30 13:40:00 0.2214 ↑ High
2025-09-30 14:00:00 0.2197 ↓ Low
2025-09-30 14:15:00 0.2218 ↑ High
2025-09-30 15:00:00 0.2226 ↑ High
2025-09-30 15:15:00 0.2215 ↓ Low
2025-09-30 15:45:00 0.2237 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
1.82%
Bars Since Swing High
0 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
1.82%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1
DateTime Price Type
2025-09-29 20:15:00 0.2239 ↓ Low
2025-09-29 21:45:00 0.2236 ↓ Low
2025-09-30 01:45:00 0.2267 ↑ High
2025-09-30 05:30:00 0.2247 ↑ High
2025-09-30 05:45:00 0.2228 ↓ Low
2025-09-30 07:15:00 0.2228 ↓ Low
2025-09-30 09:00:00 0.2231 ↓ Low
2025-09-30 09:45:00 0.2263 ↑ High
2025-09-30 14:00:00 0.2197 ↓ Low
2025-09-30 15:45:00 0.2237 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-1.15%
Dist From Last Low Pct
1.82%
Bars Since Swing High
6 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
3.00%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-29 01:00:00 0.2266 ↓ Low
2025-09-29 02:00:00 0.2297 ↑ High
2025-09-29 09:00:00 0.2231 ↓ Low
2025-09-29 11:00:00 0.2296 ↑ High
2025-09-29 17:00:00 0.2293 ↑ High
2025-09-29 21:00:00 0.2236 ↓ Low
2025-09-30 01:00:00 0.2267 ↑ High
2025-09-30 05:00:00 0.2228 ↓ Low
2025-09-30 09:00:00 0.2263 ↑ High
2025-09-30 14:00:00 0.2197 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:47:13		 30 Sep 2025
15:50:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2234 0.2242 0.2219 1.87 0.09973
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 0.2234
  • Stop Loss: 0.2242
  • Take Profit: 0.2219

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2242 - 0.2234 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2234 - 0.2219 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00080000000000002 = 1.875

📌 Position Size

Amount Margin Quantity Leverage
2379.0607 100 10649.3316 23.79
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 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.2234 = 2234

Donc, tu peux acheter 10000 avec un stoploss a 0.2242

Avec un position size USD de 2234$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0015 = 15

Si Take Profit atteint, tu gagneras 15$

Résumé

  • Taille de position 10000
  • Taille de position USD 2234
  • Perte potentielle 8
  • Gain potentiel 15
  • Risk-Reward Ratio 1.875

📌 Peformances

TP % Target TP $ Target
0.67 % 15.97 $
SL % Target SL $ Target
0.36 % 8.52 $
PNL PNL %
-8.52 $ -0.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3581 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2219
            [entry_price] => 0.2234
            [stop_loss] => 0.22428
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2219
            [entry_price] => 0.2234
            [stop_loss] => 0.22436
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2219
            [entry_price] => 0.2234
            [stop_loss] => 0.22444
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2219
            [entry_price] => 0.2234
            [stop_loss] => 0.2246
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 16:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00020000000000001
            [max_drawdown] => 0.0039
            [rr_ratio] => -0.05
            [high] => 0.22730000
            [low] => 0.22360000
            [mfe_pct] => -0.09
            [mae_pct] => 1.75
            [mfe_mae_ratio] => -0.05
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:47:13-04:00
            [end_at] => 2025-09-30T17:47:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00059999999999999
            [max_drawdown] => 0.004
            [rr_ratio] => 0.15
            [high] => 0.22740000
            [low] => 0.22280000
            [mfe_pct] => 0.27
            [mae_pct] => 1.79
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:47:13-04:00
            [end_at] => 2025-09-30T22:47:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22370000
            [high_after] => 0.22730000
            [low_before] => 0.21970000
            [low_after] => 0.22280000
            [is_new_high] => 
            [is_new_low] => 
        )

)