Short Trade on WLFI 09 Sep 2025 at 17:11:34

Take profit at 0.1983 (1.59 %) and Stop Loss at 0.2031 (0.79 %)

Short Trade on WLFI

The 09 Sep 2025 at 17:11:34

With 5012.0343 WLFI at 0.2015$ per unit.

Position size of 1009.9249 $

Take profit at 0.1983 (1.59 %) and Stop Loss at 0.2031 (0.79 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.03
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.51
Prediction 2 Probability
0 0.5
Prediction 3 Probability
1 0.53
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.310882

15m : -0.068323

1H : -0.168279

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.001064105516
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 0.202221
  4. ema21 : 0.206524
  5. ema50 : 0.209983
  6. ema100 : 0.207803
  7. price_ema9_diff : -0.00356653
  8. ema9_ema21_diff : -0.020838
  9. ema21_ema50_diff : -0.016472
  10. price_ema100_diff : -0.0303319
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.480059
  14. ema_slope_21 : -0.274001
  15. ema_slope_50 : -0.135673
  16. ema_slope_100 : -0.0328564
  17. rsi : 0.404868
  18. adx : 0.223064
  19. kc_percentage : 0.273656
  20. kc_width_percentage : 0.104673
  21. volume_ema_diff : -0.417665
  22. volume_ema1 : 6299325.502067
  23. volume_ema2 : 10817374.24029
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.198946
  28. ema21 : 0.200106
  29. ema50 : 0.204299
  30. ema100 : 0.207106
  31. price_ema9_diff : 0.0128362
  32. ema9_ema21_diff : -0.00579798
  33. ema21_ema50_diff : -0.0205246
  34. price_ema100_diff : -0.0270696
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0121371
  38. ema_slope_21 : -0.128271
  39. ema_slope_50 : -0.143133
  40. ema_slope_100 : -0.0933533
  41. rsi : 0.511005
  42. adx : 0.475962
  43. kc_percentage : 0.666179
  44. kc_width_percentage : 0.0465237
  45. volume_ema_diff : -0.321665
  46. volume_ema1 : 1568788.7143391
  47. volume_ema2 : 2312705.1434926
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.199513
  52. ema21 : 0.198909
  53. ema50 : 0.199347
  54. ema100 : 0.201761
  55. price_ema9_diff : 0.0099546
  56. ema9_ema21_diff : 0.00304112
  57. ema21_ema50_diff : -0.0021987
  58. price_ema100_diff : -0.00129709
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0363651
  62. ema_slope_21 : 0.0206108
  63. ema_slope_50 : -0.00997613
  64. ema_slope_100 : -0.0319484
  65. rsi : 0.682143
  66. adx : 0.188471
  67. kc_percentage : 1.12
  68. kc_width_percentage : 0.0205358
  69. volume_ema_diff : -0.337006
  70. volume_ema1 : 435584.89362597
  71. volume_ema2 : 656996.87790189
  72. regime : range_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111460
  77. 5m_price_ema100_diff:
    0.000914119
  78. 5m_price:
    111562
  79. 5m_correlation_with_coin:
    0.310882
  80. btc_indicators
  81. 15m_ema100:
    111828
  82. 15m_price_ema100_diff:
    -0.00237391
  83. 15m_price:
    111562
  84. 15m_correlation_with_coin:
    -0.068323
  85. btc_indicators
  86. 1H_ema100:
    111484
  87. 1H_price_ema100_diff:
    0.000702509
  88. 1H_price:
    111562
  89. 1H_correlation_with_coin:
    -0.168279
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
17:11:34
09 Sep 2025
18:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2015 0.2031 0.1983 2 0.116
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 0.2015
  • Stop Loss: 0.2031
  • Take Profit: 0.1983

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2031 - 0.2015 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2015 - 0.1983 = 0.0032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0032 / 0.0016 = 2

📌 Position Size

Amount Margin Quantity Leverage
1009.9249 100 5012.0343 10.10
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.2015 = 1007.5

Donc, tu peux acheter 5000 avec un stoploss a 0.2031

Avec un position size USD de 1007.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0032 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5000
  • Taille de position USD 1007.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.59 % 16.04 $
SL % Target SL $ Target
0.79 % 8.02 $
PNL PNL %
-8.02 $ -0.79
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.794 % 100 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1983
            [entry_price] => 0.2015
            [stop_loss] => 0.20326
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1983
            [entry_price] => 0.2015
            [stop_loss] => 0.20342
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1983
            [entry_price] => 0.2015
            [stop_loss] => 0.20358
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1983
            [entry_price] => 0.2015
            [stop_loss] => 0.2039
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0019
            [max_drawdown] => 0.003
            [rr_ratio] => 0.63
            [high] => 0.20450000
            [low] => 0.19960000
            [mfe_pct] => 0.94
            [mae_pct] => 1.49
            [mfe_mae_ratio] => 0.63
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T17:11:34-04:00
            [end_at] => 2025-09-09T19:11:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0043
            [max_drawdown] => 0.0049
            [rr_ratio] => 0.88
            [high] => 0.20640000
            [low] => 0.19720000
            [mfe_pct] => 2.13
            [mae_pct] => 2.43
            [mfe_mae_ratio] => 0.88
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T17:11:34-04:00
            [end_at] => 2025-09-10T00:11:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.20190000
            [high_after] => 0.20640000
            [low_before] => 0.19450000
            [low_after] => 0.19720000
            [is_new_high] => 
            [is_new_low] => 
        )

)