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Long Trade on WLD

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Long Trade on WLD 13 May 2025 at 20:19:46

Take profit at 1.3003 (1.08 %) and Stop Loss at 1.2771 (0.72 %)

Long Trade on WLD

The 13 May 2025 at 20:19:46

With 864.073 WLD at 1.2864$ per unit.

Position size of 1111.5436 $

Take profit at 1.3003 (1.08 %) and Stop Loss at 1.2771 (0.72 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 60
ML Pullback Score: 3.24
Prediction Score: -6.9389
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
0 0.45
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.567787

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.00617231775
Details
  1. score: 2.16
  2. 1H
  3. ema9 : 1.30027
  4. ema21 : 1.28605
  5. ema50 : 1.27203
  6. ema100 : 1.24971
  7. price_ema9_diff : -0.0106679
  8. ema9_ema21_diff : 0.0110537
  9. ema21_ema50_diff : 0.0110235
  10. price_ema100_diff : 0.029354
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.511482
  14. kc_percentage : 0.495899
  15. kc_width_percentage : 0.090142
    16. ¸
  16. 15m
  17. ema9 : 1.30361
  18. ema21 : 1.30723
  19. ema50 : 1.29668
  20. ema100 : 1.28406
  21. price_ema9_diff : -0.0132091
  22. ema9_ema21_diff : -0.00276459
  23. ema21_ema50_diff : 0.00813154
  24. price_ema100_diff : 0.00182004
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.383177
  28. kc_percentage : 0.0740521
  29. kc_width_percentage : 0.0382146
    30. ¸
  30. 5m
  31. ema9 : 1.29664
  32. ema21 : 1.30292
  33. ema50 : 1.30799
  34. ema100 : 1.3059
  35. price_ema9_diff : -0.00789754
  36. ema9_ema21_diff : -0.00482647
  37. ema21_ema50_diff : -0.00387126
  38. price_ema100_diff : -0.0149345
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.304615
  42. kc_percentage : -0.157916
  43. kc_width_percentage : 0.0190824
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    104121
  47. 5m_price_ema100_diff: 
    -0.00193552
  48. 5m_price: 
    103920
  49. 5m_correlation_with_coin: 
    0.567787
  50. btc_indicators
  51. 15m_ema100: 
    103614
  52. 15m_price_ema100_diff: 
    0.00294384
  53. 15m_price: 
    103920
  54. btc_indicators
  55. 1H_ema100: 
    103452
  56. 1H_price_ema100_diff: 
    0.00451853
  57. 1H_price: 
    103920
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 May 2025
20:19:46		 13 May 2025
21:10:00		 50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.2864 1.2771 1.3003 1.49 0.4057
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 1.2864
  • Stop Loss: 1.2771
  • Take Profit: 1.3003

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.2771 - 1.2864 = -0.0093000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.2864 - 1.3003 = -0.0139

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0139 / -0.0093000000000001 = 1.4946

📌 Position Size

Amount Margin Quantity Leverage
1111.5436 100 864.073 11.12
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 -0.0093000000000001

Taille de position = 8 / -0.0093000000000001 = -860.22

Taille de position USD = -860.22 x 1.2864 = -1106.59

Donc, tu peux acheter -860.22 avec un stoploss a 1.2771

Avec un position size USD de -1106.59$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -860.22 x -0.0093000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -860.22 x -0.0139 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position -860.22
  • Taille de position USD -1106.59
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4946

📌 Peformances

TP % Target TP $ Target
1.08 % 12.01 $
SL % Target SL $ Target
0.72 % 8.04 $
PNL PNL %
12.1 $ 1.09
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.31881804043546 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.304
            [stop_loss] => 1.277
            [rr_ratio] => 2
            [closed_at] => 2025-05-13 21:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.3085
            [stop_loss] => 1.277
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-13 21:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.313
            [stop_loss] => 1.277
            [rr_ratio] => 3
            [closed_at] => 2025-05-13 21:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.3175
            [stop_loss] => 1.277
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-13 22:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.322
            [stop_loss] => 1.277
            [rr_ratio] => 4
            [closed_at] => 2025-05-13 22:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.3265
            [stop_loss] => 1.277
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-13 22:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.331
            [stop_loss] => 1.277
            [rr_ratio] => 5
            [closed_at] => 2025-05-13 22:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.3355
            [stop_loss] => 1.277
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-13 22:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.34
            [stop_loss] => 1.277
            [rr_ratio] => 6
            [closed_at] => 2025-05-13 22:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.3445
            [stop_loss] => 1.277
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-13 22:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.349
            [stop_loss] => 1.277
            [rr_ratio] => 7
            [closed_at] => 2025-05-13 22:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0286
            [max_drawdown] => 0.0131
            [rr_ratio] => 2.18
            [high] => 1.31500000
            [low] => 1.27330000
            [mfe_pct] => 2.22
            [mae_pct] => 1.02
            [mfe_mae_ratio] => 2.18
            [candles_analyzed] => 24
            [start_at] => 2025-05-13T20:19:46-04:00
            [end_at] => 2025-05-13T22:19:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0328
            [max_drawdown] => 0.0131
            [rr_ratio] => 2.5
            [high] => 1.31920000
            [low] => 1.27330000
            [mfe_pct] => 2.55
            [mae_pct] => 1.02
            [mfe_mae_ratio] => 2.5
            [candles_analyzed] => 72
            [start_at] => 2025-05-13T20:19:46-04:00
            [end_at] => 2025-05-14T02:19:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.33960000
            [high_after] => 1.31920000
            [low_before] => 1.28640000
            [low_after] => 1.27330000
            [is_new_high] => 
            [is_new_low] => 
        )

)