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Short Trade on WLD

Short Trade on WLD

The 12 Dec 2025 at 22:18:39

With 4962.3733 WLD at 0.5845$ per unit.

Position size of 2900.5072 $

Take profit at 0.5813 (0.55 %) and Stop Loss at 0.5861 (0.27 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.39
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.640065

15m : -0.003207

1H : 0.062794

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.00107475455
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.581169
  4. ema21 - 0.584565
  5. ema50 - 0.592223
  6. ema100 - 0.599274
  7. price_ema9_diff - 0.00573132
  8. ema9_ema21_diff - -0.00580992
  9. ema21_ema50_diff - -0.0129309
  10. price_ema100_diff - -0.0246543
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.22677
  14. ema_slope_21 - -0.18833
  15. ema_slope_50 - -0.126751
  16. ema_slope_100 - -0.0829724
  17. rsi - 0.478583
  18. adx - 0.197206
  19. kc_percentage - 0.509246
  20. kc_width_percentage - 0.0456196
  21. volume_ema_diff - -0.100733
  22. volume_ema1 - 1123111.5690612
  23. volume_ema2 - 1248920.303212
  24. chop - 36.2997
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.58215
  28. ema21 - 0.580726
  29. ema50 - 0.581869
  30. ema100 - 0.586405
  31. price_ema9_diff - 0.00403636
  32. ema9_ema21_diff - 0.00245217
  33. ema21_ema50_diff - -0.0019641
  34. price_ema100_diff - -0.00325029
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0336112
  38. ema_slope_21 - 0.0340215
  39. ema_slope_50 - -0.00210353
  40. ema_slope_100 - -0.018625
  41. rsi - 0.625099
  42. adx - 0.24518
  43. kc_percentage - 0.914126
  44. kc_width_percentage - 0.0152899
  45. volume_ema_diff - 0.0597489
  46. volume_ema1 - 346165.63924846
  47. volume_ema2 - 326648.71985143
  48. chop - 67.0591
  49. regime - range_medium
    50. ¸
  50. 5m
  51. ema9 - 0.582754
  52. ema21 - 0.581895
  53. ema50 - 0.580613
  54. ema100 - 0.578515
  55. price_ema9_diff - 0.00299502
  56. ema9_ema21_diff - 0.00147662
  57. ema21_ema50_diff - 0.00220763
  58. price_ema100_diff - 0.0103441
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0318453
  62. ema_slope_21 - 0.0203152
  63. ema_slope_50 - 0.0157301
  64. ema_slope_100 - 0.0149213
  65. rsi - 0.678451
  66. adx - 0.243662
  67. kc_percentage - 1.11633
  68. kc_width_percentage - 0.0070933
  69. volume_ema_diff - -0.00422199
  70. volume_ema1 - 127166.27183737
  71. volume_ema2 - 127705.44338697
  72. chop - 46.8519
  73. regime - bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90238.7
  77. 5m_price_ema100_diff: 0.000878576
  78. 5m_price: 90318
  79. 5m_correlation_with_coin: 0.640065
  80. btc_indicators
  81. 15m_ema100: 91017.7
  82. 15m_price_ema100_diff: -0.00768795
  83. 15m_price: 90318
  84. 15m_correlation_with_coin: -0.003207
  85. btc_indicators
  86. 1H_ema100: 91137.7
  87. 1H_price_ema100_diff: -0.00899461
  88. 1H_price: 90318
  89. 1H_correlation_with_coin: 0.062794
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
22:18:39		 12 Dec 2025
22:25:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5845 0.5861 0.5813 2 0.5336
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 0.5845
  • Stop Loss: 0.5861
  • Take Profit: 0.5813

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5861 - 0.5845 = 0.0015999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5845 - 0.5813 = 0.0032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0032 / 0.0015999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
2900.5072 100 4962.3733 29.01
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 0.0015999999999999

Taille de position = 8 / 0.0015999999999999 = 5000

Taille de position USD = 5000 x 0.5845 = 2922.5

Donc, tu peux acheter 5000 avec un stoploss a 0.5861

Avec un position size USD de 2922.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0015999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0032 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5000
  • Taille de position USD 2922.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.55 % 15.88 $
SL % Target SL $ Target
0.27 % 7.94 $
PNL PNL %
-7.94 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.633 % 231.28 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5813
            [entry_price] => 0.5845
            [stop_loss] => 0.58626
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 22:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5813
            [entry_price] => 0.5845
            [stop_loss] => 0.58642
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 22:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5813
            [entry_price] => 0.5845
            [stop_loss] => 0.58658
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 22:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5813
            [entry_price] => 0.5845
            [stop_loss] => 0.5869
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-12 22:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -9.9999999999989E-5
            [max_drawdown] => 0.0065999999999999
            [rr_ratio] => -0.02
            [high] => 0.59110000
            [low] => 0.58460000
            [mfe_pct] => -0.02
            [mae_pct] => 1.13
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 24
            [start_at] => 2025-12-12T22:18:39-05:00
            [end_at] => 2025-12-13T00:18:39-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0044000000000001
            [max_drawdown] => 0.0065999999999999
            [rr_ratio] => 0.67
            [high] => 0.59110000
            [low] => 0.58010000
            [mfe_pct] => 0.75
            [mae_pct] => 1.13
            [mfe_mae_ratio] => 0.67
            [candles_analyzed] => 84
            [start_at] => 2025-12-12T22:18:39-05:00
            [end_at] => 2025-12-13T05:18:39-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.58490000
            [high_after] => 0.59110000
            [low_before] => 0.57770000
            [low_after] => 0.58010000
            [is_new_high] => 
            [is_new_low] => 
        )

)