Short Trade on WIF 29 Sep 2025 at 09:57:11

Take profit at 0.704 (1.54 %) and Stop Loss at 0.7205 (0.77 %)

Short Trade on WIF

The 29 Sep 2025 at 09:57:11

With 1459.091 WIF at 0.715$ per unit.

Position size of 1043.2501 $

Take profit at 0.704 (1.54 %) and Stop Loss at 0.7205 (0.77 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.28
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.67
Prediction 2 Probability
1 0.44
Prediction 3 Probability
0 0.55
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low_confirmed

rules_regime_5m : bull_low_confirmed

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_medium

BTC Correlation Score

5m : 0.730179

15m : 0.19482

1H : -0.140498

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.003655243686
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.716102
  4. ema21 : 0.723291
  5. ema50 : 0.729621
  6. ema100 : 0.736031
  7. price_ema9_diff : -0.00154018
  8. ema9_ema21_diff : -0.00993865
  9. ema21_ema50_diff : -0.00867613
  10. price_ema100_diff : -0.0285745
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.233366
  14. ema_slope_21 : -0.115765
  15. ema_slope_50 : -0.063002
  16. ema_slope_100 : -0.0447455
  17. rsi : 0.417325
  18. adx : 0.271449
  19. kc_percentage : 0.280964
  20. kc_width_percentage : 0.0506435
  21. volume_ema_diff : 1.03605
  22. volume_ema1 : 2503839.2876832
  23. volume_ema2 : 1229749.0427004
  24. chop : 25.1134
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.707279
  29. ema21 : 0.710933
  30. ema50 : 0.718919
  31. ema100 : 0.72277
  32. price_ema9_diff : 0.0109154
  33. ema9_ema21_diff : -0.00513995
  34. ema21_ema50_diff : -0.0111079
  35. price_ema100_diff : -0.0107514
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.119981
  39. ema_slope_21 : -0.129552
  40. ema_slope_50 : -0.0954542
  41. ema_slope_100 : -0.0542456
  42. rsi : 0.47955
  43. adx : 0.408207
  44. kc_percentage : 0.697431
  45. kc_width_percentage : 0.0314236
  46. volume_ema_diff : 1.32113
  47. volume_ema1 : 911861.25890116
  48. volume_ema2 : 392851.25940494
  49. chop : 33.8913
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 0.709081
  54. ema21 : 0.706568
  55. ema50 : 0.708871
  56. ema100 : 0.71439
  57. price_ema9_diff : 0.00834681
  58. ema9_ema21_diff : 0.00355641
  59. ema21_ema50_diff : -0.00324819
  60. price_ema100_diff : 0.000853539
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.068181
  64. ema_slope_21 : 0.0160749
  65. ema_slope_50 : -0.0197861
  66. ema_slope_100 : -0.0272582
  67. rsi : 0.653377
  68. adx : 0.294404
  69. kc_percentage : 1.03412
  70. kc_width_percentage : 0.0219617
  71. volume_ema_diff : 0.773086
  72. volume_ema1 : 395055.64495143
  73. volume_ema2 : 222806.78901634
  74. chop : 27.9911
  75. regime : range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112052
  80. 5m_price_ema100_diff:
    0.010061
  81. 5m_price:
    113179
  82. 5m_correlation_with_coin:
    0.730179
  83. btc_indicators
  84. 15m_ema100:
    111374
  85. 15m_price_ema100_diff:
    0.01692
  86. 15m_price:
    113259
  87. 15m_correlation_with_coin:
    0.19482
  88. btc_indicators
  89. 1H_ema100:
    110528
  90. 1H_price_ema100_diff:
    0.0239849
  91. 1H_price:
    113179
  92. 1H_correlation_with_coin:
    -0.140498
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
09:57:11
29 Sep 2025
10:10:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.715 0.7205 0.704 2 0.2111
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 0.715
  • Stop Loss: 0.7205
  • Take Profit: 0.704

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7205 - 0.715 = 0.0055000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.715 - 0.704 = 0.011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.011 / 0.0055000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1043.2501 100 1459.091 10.43
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 0.0055000000000001

Taille de position = 8 / 0.0055000000000001 = 1454.55

Taille de position USD = 1454.55 x 0.715 = 1040

Donc, tu peux acheter 1454.55 avec un stoploss a 0.7205

Avec un position size USD de 1040$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1454.55 x 0.0055000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1454.55 x 0.011 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1454.55
  • Taille de position USD 1040
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.54 % 16.05 $
SL % Target SL $ Target
0.77 % 8.03 $
PNL PNL %
-8.03 $ -0.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.021 % 132.74 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.704
            [entry_price] => 0.715
            [stop_loss] => 0.72105
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 10:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.704
            [entry_price] => 0.715
            [stop_loss] => 0.7216
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 10:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.704
            [entry_price] => 0.715
            [stop_loss] => 0.72215
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 10:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.704
            [entry_price] => 0.715
            [stop_loss] => 0.72325
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 10:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 0.0202
            [rr_ratio] => 0.1
            [high] => 0.73520000
            [low] => 0.71300000
            [mfe_pct] => 0.28
            [mae_pct] => 2.83
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T09:57:11-04:00
            [end_at] => 2025-09-29T11:57:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0074
            [max_drawdown] => 0.0218
            [rr_ratio] => 0.34
            [high] => 0.73680000
            [low] => 0.70760000
            [mfe_pct] => 1.03
            [mae_pct] => 3.05
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T09:57:11-04:00
            [end_at] => 2025-09-29T16:57:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.71970000
            [high_after] => 0.73520000
            [low_before] => 0.69600000
            [low_after] => 0.70760000
            [is_new_high] => 
            [is_new_low] => 
        )

)