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Short Trade on WCT

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Short Trade on WCT 15 May 2025 at 20:42:59

Take profit at 0.507 (1.82 %) and Stop Loss at 0.5227 (1.22 %)

Short Trade on WCT

The 15 May 2025 at 20:42:59

With 1279.7405 WCT at 0.5164$ per unit.

Position size of 660.858 $

Take profit at 0.507 (1.82 %) and Stop Loss at 0.5227 (1.22 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 60
ML Pullback Score: 4.73
Prediction Score: 0.2736
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.49
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.498354

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.004167511604
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.512708
  4. ema21 : 0.523365
  5. ema50 : 0.53191
  6. ema100 : 0.527309
  7. price_ema9_diff : 0.00719952
  8. ema9_ema21_diff : -0.0203622
  9. ema21_ema50_diff : -0.0160637
  10. price_ema100_diff : -0.020688
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.450039
  14. kc_percentage : 0.407219
  15. kc_width_percentage : 0.129012
    16. ¸
  16. 15m
  17. ema9 : 0.507016
  18. ema21 : 0.507669
  19. ema50 : 0.5143
  20. ema100 : 0.525426
  21. price_ema9_diff : 0.0185081
  22. ema9_ema21_diff : -0.0012866
  23. ema21_ema50_diff : -0.0128941
  24. price_ema100_diff : -0.0171785
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.573787
  28. kc_percentage : 0.831369
  29. kc_width_percentage : 0.0518914
    30. ¸
  30. 5m
  31. ema9 : 0.509771
  32. ema21 : 0.506066
  33. ema50 : 0.506047
  34. ema100 : 0.506741
  35. price_ema9_diff : 0.0130034
  36. ema9_ema21_diff : 0.00732054
  37. ema21_ema50_diff : 3.69746E-5
  38. price_ema100_diff : 0.019059
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.654609
  42. kc_percentage : 1.07705
  43. kc_width_percentage : 0.034274
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    103434
  47. 5m_price_ema100_diff: 
    0.00452872
  48. 5m_price: 
    103903
  49. 5m_correlation_with_coin: 
    0.498354
  50. btc_indicators
  51. 15m_ema100: 
    103063
  52. 15m_price_ema100_diff: 
    0.00814278
  53. 15m_price: 
    103903
  54. btc_indicators
  55. 1H_ema100: 
    103357
  56. 1H_price_ema100_diff: 
    0.00527746
  57. 1H_price: 
    103903
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 May 2025
20:42:59		 15 May 2025
20:50:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5164 0.5227 0.507 1.49 0.06006
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 0.5164
  • Stop Loss: 0.5227
  • Take Profit: 0.507

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5227 - 0.5164 = 0.0063000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5164 - 0.507 = 0.0094

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0094 / 0.0063000000000001 = 1.4921

📌 Position Size

Amount Margin Quantity Leverage
660.858 100 1279.7405 6.61
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 0.0063000000000001

Taille de position = 8 / 0.0063000000000001 = 1269.84

Taille de position USD = 1269.84 x 0.5164 = 655.75

Donc, tu peux acheter 1269.84 avec un stoploss a 0.5227

Avec un position size USD de 655.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1269.84 x 0.0063000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1269.84 x 0.0094 = 11.94

Si Take Profit atteint, tu gagneras 11.94$

Résumé

  • Taille de position 1269.84
  • Taille de position USD 655.75
  • Perte potentielle 8
  • Gain potentiel 11.94
  • Risk-Reward Ratio 1.4921

📌 Peformances

TP % Target TP $ Target
1.82 % 12.03 $
SL % Target SL $ Target
1.22 % 8.06 $
PNL PNL %
12.03 $ 1.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.5038
            [stop_loss] => 0.5227
            [rr_ratio] => 2
            [closed_at] => 2025-05-15 21:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.50065
            [stop_loss] => 0.5227
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-15 21:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.4975
            [stop_loss] => 0.5227
            [rr_ratio] => 3
            [closed_at] => 2025-05-15 21:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.49435
            [stop_loss] => 0.5227
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-16 00:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.4912
            [stop_loss] => 0.5227
            [rr_ratio] => 4
            [closed_at] => 2025-05-16 00:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.48805
            [stop_loss] => 0.5227
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-16 00:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.4849
            [stop_loss] => 0.5227
            [rr_ratio] => 5
            [closed_at] => 2025-05-16 00:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.48175
            [stop_loss] => 0.5227
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-16 00:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.4786
            [stop_loss] => 0.5227
            [rr_ratio] => 6
            [closed_at] => 2025-05-16 00:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.47545
            [stop_loss] => 0.5227
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-16 00:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.4723
            [stop_loss] => 0.5227
            [rr_ratio] => 7
            [closed_at] => 2025-05-16 00:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0211
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.51610000
            [low] => 0.49530000
            [mfe_pct] => 4.09
            [mae_pct] => -0.06
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-15T20:42:59-04:00
            [end_at] => 2025-05-15T22:42:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0211
            [max_drawdown] => 0.0175
            [rr_ratio] => 1.21
            [high] => 0.53390000
            [low] => 0.49530000
            [mfe_pct] => 4.09
            [mae_pct] => 3.39
            [mfe_mae_ratio] => 1.21
            [candles_analyzed] => 72
            [start_at] => 2025-05-15T20:42:59-04:00
            [end_at] => 2025-05-16T02:42:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.51810000
            [high_after] => 0.53390000
            [low_before] => 0.48870000
            [low_after] => 0.49530000
            [is_new_high] => 
            [is_new_low] => 
        )

)