Short Trade on WIF 27 Sep 2025 at 17:48:29

Take profit at 0.736 (0.41 %) and Stop Loss at 0.7405 (0.2 %)

Short Trade on WIF

The 27 Sep 2025 at 17:48:29

With 5278.2184 WIF at 0.739$ per unit.

Position size of 3900.6034 $

Take profit at 0.736 (0.41 %) and Stop Loss at 0.7405 (0.2 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.91
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.52
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.632404

15m : -0.029148

1H : 0.109711

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.00101044196
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.739394
  4. ema21 : 0.741945
  5. ema50 : 0.746396
  6. ema100 : 0.755266
  7. price_ema9_diff : -0.000532925
  8. ema9_ema21_diff : -0.00343846
  9. ema21_ema50_diff : -0.00596333
  10. price_ema100_diff : -0.0215377
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.0740164
  14. ema_slope_21 : -0.0487125
  15. ema_slope_50 : -0.0409735
  16. ema_slope_100 : -0.043675
  17. rsi : 0.448626
  18. adx : 0.217502
  19. kc_percentage : 0.375954
  20. kc_width_percentage : 0.0306052
  21. volume_ema_diff : -0.500257
  22. volume_ema1 : 749004.48741237
  23. volume_ema2 : 1498780.048946
  24. chop : 69.5056
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.737231
  29. ema21 : 0.737615
  30. ema50 : 0.739959
  31. ema100 : 0.742897
  32. price_ema9_diff : 0.0023983
  33. ema9_ema21_diff : -0.000520589
  34. ema21_ema50_diff : -0.00316779
  35. price_ema100_diff : -0.00524649
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0015314
  39. ema_slope_21 : -0.02002
  40. ema_slope_50 : -0.0233232
  41. ema_slope_100 : -0.0193627
  42. rsi : 0.52857
  43. adx : 0.214286
  44. kc_percentage : 0.680347
  45. kc_width_percentage : 0.0109273
  46. volume_ema_diff : -0.430929
  47. volume_ema1 : 126796.08075468
  48. volume_ema2 : 222812.71400587
  49. chop : 70.5628
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 0.737623
  54. ema21 : 0.736986
  55. ema50 : 0.737208
  56. ema100 : 0.738598
  57. price_ema9_diff : 0.00186566
  58. ema9_ema21_diff : 0.00086486
  59. ema21_ema50_diff : -0.000301064
  60. price_ema100_diff : 0.000544217
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0144368
  64. ema_slope_21 : 0.00707649
  65. ema_slope_50 : -0.000972012
  66. ema_slope_100 : -0.00491103
  67. rsi : 0.659845
  68. adx : 0.182599
  69. kc_percentage : 1.02448
  70. kc_width_percentage : 0.00512924
  71. volume_ema_diff : 0.440166
  72. volume_ema1 : 89865.109737586
  73. volume_ema2 : 62399.108830047
  74. chop : 52.4757
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109327
  80. 5m_price_ema100_diff:
    0.000741609
  81. 5m_price:
    109409
  82. 5m_correlation_with_coin:
    0.632404
  83. btc_indicators
  84. 15m_ema100:
    109356
  85. 15m_price_ema100_diff:
    0.000475981
  86. 15m_price:
    109409
  87. 15m_correlation_with_coin:
    -0.029148
  88. btc_indicators
  89. 1H_ema100:
    110297
  90. 1H_price_ema100_diff:
    -0.00805251
  91. 1H_price:
    109409
  92. 1H_correlation_with_coin:
    0.109711
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Sep 2025
17:48:29
27 Sep 2025
17:50:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.739 0.7405 0.736 2 0.1966
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 0.739
  • Stop Loss: 0.7405
  • Take Profit: 0.736

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7405 - 0.739 = 0.0015000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.739 - 0.736 = 0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.003 / 0.0015000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
3900.6034 100 5278.2184 39.01
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 0.0015000000000001

Taille de position = 8 / 0.0015000000000001 = 5333.33

Taille de position USD = 5333.33 x 0.739 = 3941.33

Donc, tu peux acheter 5333.33 avec un stoploss a 0.7405

Avec un position size USD de 3941.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5333.33 x 0.0015000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5333.33 x 0.003 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5333.33
  • Taille de position USD 3941.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.41 % 15.83 $
SL % Target SL $ Target
0.2 % 7.92 $
PNL PNL %
-7.92 $ -0.20
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2165 % 106.65 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.736
            [entry_price] => 0.739
            [stop_loss] => 0.74065
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-27 17:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.736
            [entry_price] => 0.739
            [stop_loss] => 0.7408
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-27 17:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.736
            [entry_price] => 0.739
            [stop_loss] => 0.74095
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-27 17:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.736
            [entry_price] => 0.739
            [stop_loss] => 0.74125
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-27 18:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0034
            [max_drawdown] => 0.0058
            [rr_ratio] => 0.59
            [high] => 0.74480000
            [low] => 0.73560000
            [mfe_pct] => 0.46
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 24
            [start_at] => 2025-09-27T17:48:29-04:00
            [end_at] => 2025-09-27T19:48:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0139
            [max_drawdown] => 0.0058
            [rr_ratio] => 2.4
            [high] => 0.74480000
            [low] => 0.72510000
            [mfe_pct] => 1.88
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 2.4
            [candles_analyzed] => 84
            [start_at] => 2025-09-27T17:48:29-04:00
            [end_at] => 2025-09-28T00:48:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.73950000
            [high_after] => 0.74480000
            [low_before] => 0.73320000
            [low_after] => 0.72510000
            [is_new_high] => 
            [is_new_low] => 1
        )

)