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Long Trade on WCT

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Long Trade on WCT 29 May 2025 at 19:58:29

Take profit at 1.1817 (3.3 %) and Stop Loss at 1.1187 (2.2 %)

Long Trade on WCT

The 29 May 2025 at 19:58:29

With 317.8645 WCT at 1.1439$ per unit.

Position size of 363.6052 $

Take profit at 1.1817 (3.3 %) and Stop Loss at 1.1187 (2.2 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 0.835
Prediction 1 Probability
Weak Trade
0.56
Prediction 2 Probability
1 0.55
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.134865

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.01677863728
Details
  1. score: 2.08
  2. 1H
  3. ema9 : 1.16615
  4. ema21 : 1.11308
  5. ema50 : 1.01629
  6. ema100 : 0.913389
  7. price_ema9_diff : -0.0190859
  8. ema9_ema21_diff : 0.0476841
  9. ema21_ema50_diff : 0.095229
  10. price_ema100_diff : 0.252368
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.599054
  14. kc_percentage : 0.618742
  15. kc_width_percentage : 0.196451
    16. ¸
  16. 15m
  17. ema9 : 1.18839
  18. ema21 : 1.18761
  19. ema50 : 1.152
  20. ema100 : 1.09778
  21. price_ema9_diff : -0.0374389
  22. ema9_ema21_diff : 0.000654859
  23. ema21_ema50_diff : 0.0309118
  24. price_ema100_diff : 0.0420098
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.397633
  28. kc_percentage : 0.121589
  29. kc_width_percentage : 0.10306
    30. ¸
  30. 5m
  31. ema9 : 1.16187
  32. ema21 : 1.18496
  33. ema50 : 1.19294
  34. ema100 : 1.18154
  35. price_ema9_diff : -0.0154683
  36. ema9_ema21_diff : -0.0194887
  37. ema21_ema50_diff : -0.0066881
  38. price_ema100_diff : -0.0318635
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.291454
  42. kc_percentage : -0.0848213
  43. kc_width_percentage : 0.0596919
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    106243
  47. 5m_price_ema100_diff: 
    -0.00662973
  48. 5m_price: 
    105539
  49. 5m_correlation_with_coin: 
    0.134865
  50. btc_indicators
  51. 15m_ema100: 
    106982
  52. 15m_price_ema100_diff: 
    -0.0134893
  53. 15m_price: 
    105539
  54. btc_indicators
  55. 1H_ema100: 
    108026
  56. 1H_price_ema100_diff: 
    -0.0230245
  57. 1H_price: 
    105539
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 May 2025
19:58:29		 29 May 2025
20:15:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1439 1.1187 1.1817 1.5 0.05903
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 1.1439
  • Stop Loss: 1.1187
  • Take Profit: 1.1817

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1187 - 1.1439 = -0.0252

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1439 - 1.1817 = -0.0378

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0378 / -0.0252 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
363.6052 100 317.8645 3.64
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 -0.0252

Taille de position = 8 / -0.0252 = -317.46

Taille de position USD = -317.46 x 1.1439 = -363.14

Donc, tu peux acheter -317.46 avec un stoploss a 1.1187

Avec un position size USD de -363.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -317.46 x -0.0252 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -317.46 x -0.0378 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -317.46
  • Taille de position USD -363.14
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
3.3 % 12.02 $
SL % Target SL $ Target
2.2 % 8.01 $
PNL PNL %
12.08 $ 3.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6608391608392 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.194
            [stop_loss] => 1.119
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 20:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.2065
            [stop_loss] => 1.119
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 20:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.219
            [stop_loss] => 1.119
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 21:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.2315
            [stop_loss] => 1.119
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 21:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.244
            [stop_loss] => 1.119
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 21:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.2565
            [stop_loss] => 1.119
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 22:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.269
            [stop_loss] => 1.119
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 22:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.2815
            [stop_loss] => 1.119
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-29 22:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.294
            [stop_loss] => 1.119
            [rr_ratio] => 6
            [closed_at] => 2025-05-29 22:05:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.3065
            [stop_loss] => 1.119
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-29 22:35:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.319
            [stop_loss] => 1.119
            [rr_ratio] => 7
            [closed_at] => 2025-05-29 22:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.1081
            [max_drawdown] => 0.0189
            [rr_ratio] => 5.72
            [high] => 1.25200000
            [low] => 1.12500000
            [mfe_pct] => 9.45
            [mae_pct] => 1.65
            [mfe_mae_ratio] => 5.72
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T19:58:29-04:00
            [end_at] => 2025-05-29T21:58:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.2449
            [max_drawdown] => 0.0189
            [rr_ratio] => 12.96
            [high] => 1.38880000
            [low] => 1.12500000
            [mfe_pct] => 21.41
            [mae_pct] => 1.65
            [mfe_mae_ratio] => 12.96
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T19:58:29-04:00
            [end_at] => 2025-05-30T01:58:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.26440000
            [high_after] => 1.38880000
            [low_before] => 1.12550000
            [low_after] => 1.12500000
            [is_new_high] => 1
            [is_new_low] => 
        )

)