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Short Trade on WLFI

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Short Trade on WLFI 13 Nov 2025 at 18:00:28

Take profit at 0.1417 (1.39 %) and Stop Loss at 0.1447 (0.7 %)

Short Trade on WLFI

The 13 Nov 2025 at 18:00:28

With 8183.9351 WLFI at 0.1437$ per unit.

Position size of 1176.0315 $

Take profit at 0.1417 (1.39 %) and Stop Loss at 0.1447 (0.7 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.82
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
1 0.61
Prediction 3 Probability
0 0.77
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.738892

15m : 0.027642

1H : 0.109097

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0006516832358
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.143853
  4. ema21 : 0.145638
  5. ema50 : 0.147321
  6. ema100 : 0.145951
  7. price_ema9_diff : -0.00106641
  8. ema9_ema21_diff : -0.0122584
  9. ema21_ema50_diff : -0.0114254
  10. price_ema100_diff : -0.0154248
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.303007
  14. ema_slope_21 : -0.160446
  15. ema_slope_50 : -0.0857496
  16. ema_slope_100 : -0.0139225
  17. rsi : 0.440013
  18. adx : 0.151554
  19. kc_percentage : 0.347461
  20. kc_width_percentage : 0.0835704
  21. volume_ema_diff : -0.544139
  22. volume_ema1 : 500858.26718362
  23. volume_ema2 : 1098708.6271165
  24. chop : 48.4442
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.14257
  28. ema21 : 0.142862
  29. ema50 : 0.144644
  30. ema100 : 0.145188
  31. price_ema9_diff : 0.00792237
  32. ema9_ema21_diff : -0.00204542
  33. ema21_ema50_diff : -0.012316
  34. price_ema100_diff : -0.0102534
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00408442
  38. ema_slope_21 : -0.082917
  39. ema_slope_50 : -0.0920077
  40. ema_slope_100 : -0.0498907
  41. rsi : 0.525156
  42. adx : 0.176456
  43. kc_percentage : 0.684332
  44. kc_width_percentage : 0.0341648
  45. volume_ema_diff : -0.554737
  46. volume_ema1 : 93804.639514699
  47. volume_ema2 : 210672.51484256
  48. chop : 72.6412
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.143018
  52. ema21 : 0.142363
  53. ema50 : 0.142398
  54. ema100 : 0.143862
  55. price_ema9_diff : 0.00476312
  56. ema9_ema21_diff : 0.00460266
  57. ema21_ema50_diff : -0.000243223
  58. price_ema100_diff : -0.00112845
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.11397
  62. ema_slope_21 : 0.0669146
  63. ema_slope_50 : 0.0130399
  64. ema_slope_100 : -0.0180834
  65. rsi : 0.709723
  66. adx : 0.249649
  67. kc_percentage : 1.0363
  68. kc_width_percentage : 0.0169274
  69. volume_ema_diff : -0.398358
  70. volume_ema1 : 35836.144414684
  71. volume_ema2 : 59563.939825236
  72. chop : 44.4175
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    99688.5
  77. 5m_price_ema100_diff: 
    0.0015779
  78. 5m_price: 
    99845.8
  79. 5m_correlation_with_coin: 
    0.738892
  80. btc_indicators
  81. 15m_ema100: 
    101017
  82. 15m_price_ema100_diff: 
    -0.0115984
  83. 15m_price: 
    99845.8
  84. 15m_correlation_with_coin: 
    0.027642
  85. btc_indicators
  86. 1H_ema100: 
    103031
  87. 1H_price_ema100_diff: 
    -0.030924
  88. 1H_price: 
    99845.8
  89. 1H_correlation_with_coin: 
    0.109097
    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] => 2025-11-10 22:00:00
                    [1] => 0.1597
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-11 06:00:00
                    [1] => 0.1569
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-11 09:00:00
                    [1] => 0.1463
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-11 13:00:00
                    [1] => 0.1567
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-11 19:00:00
                    [1] => 0.1482
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-12 01:00:00
                    [1] => 0.1654
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-12 12:00:00
                    [1] => 0.1394
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-13 02:00:00
                    [1] => 0.1545
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-13 13:00:00
                    [1] => 0.14
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-13 18:00:00
                    [1] => 0.1462
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -1.0259917920657
            [ms_dist_from_last_low_pct] => 3.3571428571428
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 4.4285714285714
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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] => 2025-11-13 02:00:00
                    [1] => 0.1545
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-13 04:00:00
                    [1] => 0.1482
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-13 05:15:00
                    [1] => 0.1518
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-13 07:45:00
                    [1] => 0.1541
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-13 09:30:00
                    [1] => 0.1477
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-13 09:45:00
                    [1] => 0.1533
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-13 13:30:00
                    [1] => 0.14
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-13 14:30:00
                    [1] => 0.1445
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-13 15:45:00
                    [1] => 0.1403
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-13 18:00:00
                    [1] => 0.1456
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.13736263736264
            [ms_dist_from_last_low_pct] => 3.6350677120456
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 3.7776193870278
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [ms_choch_down] => 0
        )

)
  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] => 2025-11-13 12:30:00
                    [1] => 0.1457
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-13 13:35:00
                    [1] => 0.14
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-13 14:30:00
                    [1] => 0.1445
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-13 15:05:00
                    [1] => 0.1406
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-13 15:35:00
                    [1] => 0.1427
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-13 15:50:00
                    [1] => 0.1403
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-13 16:15:00
                    [1] => 0.1419
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-13 16:35:00
                    [1] => 0.1405
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-13 16:45:00
                    [1] => 0.1405
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-13 18:00:00
                    [1] => 0.1441
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.13879250520472
            [ms_dist_from_last_low_pct] => 2.4199288256228
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 15
            [ms_last_swing_amplitude_pct] => 2.5622775800712
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.14%
Dist From Last Low Pct
2.42%
Bars Since Swing High
0 bars
Bars Since Swing Low
15 bars
Last Swing Amplitude Pct
2.56%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0010
0.69%
TP to Pivot Distance
0.0017
1.20%
DateTime Price Type
2025-11-13 12:30:00 0.1457 ↑ High
2025-11-13 13:35:00 0.14 ↓ Low
2025-11-13 14:30:00 0.1445 ↑ High
2025-11-13 15:05:00 0.1406 ↓ Low
2025-11-13 15:35:00 0.1427 ↑ High
2025-11-13 15:50:00 0.1403 ↓ Low
2025-11-13 16:15:00 0.1419 ↑ High
2025-11-13 16:35:00 0.1405 ↓ Low
2025-11-13 16:45:00 0.1405 ↓ Low
2025-11-13 18:00:00 0.1441 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.14%
Dist From Last Low Pct
3.64%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
3.78%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0098
6.77%
TP to Pivot Distance
0.0017
1.20%
DateTime Price Type
2025-11-13 02:00:00 0.1545 ↑ High
2025-11-13 04:00:00 0.1482 ↓ Low
2025-11-13 05:15:00 0.1518 ↑ High
2025-11-13 07:45:00 0.1541 ↑ High
2025-11-13 09:30:00 0.1477 ↓ Low
2025-11-13 09:45:00 0.1533 ↑ High
2025-11-13 13:30:00 0.14 ↓ Low
2025-11-13 14:30:00 0.1445 ↑ High
2025-11-13 15:45:00 0.1403 ↓ Low
2025-11-13 18:00:00 0.1456 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-1.03%
Dist From Last Low Pct
3.36%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
4.43%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0207
14.31%
TP to Pivot Distance
0.0023
1.62%
DateTime Price Type
2025-11-10 22:00:00 0.1597 ↑ High
2025-11-11 06:00:00 0.1569 ↑ High
2025-11-11 09:00:00 0.1463 ↓ Low
2025-11-11 13:00:00 0.1567 ↑ High
2025-11-11 19:00:00 0.1482 ↓ Low
2025-11-12 01:00:00 0.1654 ↑ High
2025-11-12 12:00:00 0.1394 ↓ Low
2025-11-13 02:00:00 0.1545 ↑ High
2025-11-13 13:00:00 0.14 ↓ Low
2025-11-13 18:00:00 0.1462 ↑ High

📌 Time Data

Start at Closed at Duration
13 Nov 2025
18:00:28		 13 Nov 2025
18:05:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1437 0.1447 0.1417 2 0.1153
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 0.1437
  • Stop Loss: 0.1447
  • Take Profit: 0.1417

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1447 - 0.1437 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1437 - 0.1417 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1176.0315 100 8183.9351 11.76
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1437 = 1149.6

Donc, tu peux acheter 8000 avec un stoploss a 0.1447

Avec un position size USD de 1149.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8000
  • Taille de position USD 1149.6
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.39 % 16.37 $
SL % Target SL $ Target
0.7 % 8.18 $
PNL PNL %
-8.18 $ -0.70
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8351 % 120 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1417
            [entry_price] => 0.1437
            [stop_loss] => 0.1448
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-13 18:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1417
            [entry_price] => 0.1437
            [stop_loss] => 0.1449
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-13 18:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1417
            [entry_price] => 0.1437
            [stop_loss] => 0.145
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-13 18:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1417
            [entry_price] => 0.1437
            [stop_loss] => 0.1452
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-13 18:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0025
            [rr_ratio] => 0.2
            [high] => 0.14620000
            [low] => 0.14320000
            [mfe_pct] => 0.35
            [mae_pct] => 1.74
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-11-13T18:00:28-05:00
            [end_at] => 2025-11-13T20:00:28-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0111
            [max_drawdown] => 0.0025
            [rr_ratio] => 4.44
            [high] => 0.14620000
            [low] => 0.13260000
            [mfe_pct] => 7.72
            [mae_pct] => 1.74
            [mfe_mae_ratio] => 4.44
            [candles_analyzed] => 84
            [start_at] => 2025-11-13T18:00:28-05:00
            [end_at] => 2025-11-14T01:00:28-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14450000
            [high_after] => 0.14620000
            [low_before] => 0.14030000
            [low_after] => 0.13260000
            [is_new_high] => 
            [is_new_low] => 1
        )

)