Long Trade on WLD 09 Sep 2025 at 08:57:19

Take profit at 2.0148 (8.36 %) and Stop Loss at 1.7816 (4.18 %)

Long Trade on WLD

The 09 Sep 2025 at 08:57:19

With 102.9248 WLD at 1.8593$ per unit.

Position size of 191.368 $

Take profit at 2.0148 (8.36 %) and Stop Loss at 1.7816 (4.18 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 3.44
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.93
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high_confirmed

15m_regime : bull_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.0426

15m : 0.001776

1H : -0.056634

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.05181778562
Details
  1. score: 2.02
  2. 1H
  3. ema9 : 1.9061
  4. ema21 : 1.75569
  5. ema50 : 1.49808
  6. ema100 : 1.2862
  7. price_ema9_diff : -0.0245561
  8. ema9_ema21_diff : 0.0856737
  9. ema21_ema50_diff : 0.171953
  10. price_ema100_diff : 0.445573
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 1.94652
  14. ema_slope_21 : 1.96299
  15. ema_slope_50 : 1.64971
  16. ema_slope_100 : 1.22754
  17. rsi : 0.619757
  18. adx : 0.717875
  19. kc_percentage : 0.671509
  20. kc_width_percentage : 0.287256
  21. volume_ema_diff : 1.19163
  22. volume_ema1 : 71197870.430092
  23. volume_ema2 : 32486203.449442
  24. regime : bull_high_confirmed
  25. ¸
  26. 15m
  27. ema9 : 1.98281
  28. ema21 : 1.9772
  29. ema50 : 1.88033
  30. ema100 : 1.72717
  31. price_ema9_diff : -0.0622918
  32. ema9_ema21_diff : 0.00283406
  33. ema21_ema50_diff : 0.0515192
  34. price_ema100_diff : 0.0764979
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.180797
  38. ema_slope_21 : 0.327813
  39. ema_slope_50 : 0.407619
  40. ema_slope_100 : 0.410548
  41. rsi : 0.409914
  42. adx : 0.40214
  43. kc_percentage : 0.140053
  44. kc_width_percentage : 0.179729
  45. volume_ema_diff : 0.772905
  46. volume_ema1 : 23572368.919291
  47. volume_ema2 : 13295895.537486
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 1.91852
  52. ema21 : 1.97479
  53. ema50 : 1.98825
  54. ema100 : 1.95754
  55. price_ema9_diff : -0.0308676
  56. ema9_ema21_diff : -0.0284956
  57. ema21_ema50_diff : -0.00676918
  58. price_ema100_diff : -0.0501897
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.562203
  62. ema_slope_21 : -0.309552
  63. ema_slope_50 : -0.0845284
  64. ema_slope_100 : 0.00420059
  65. rsi : 0.323826
  66. adx : 0.327133
  67. kc_percentage : -0.0237459
  68. kc_width_percentage : 0.116003
  69. volume_ema_diff : 0.209517
  70. volume_ema1 : 7644374.2621836
  71. volume_ema2 : 6320183.3442785
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    112597
  77. 5m_price_ema100_diff:
    0.000311971
  78. 5m_price:
    112632
  79. 5m_correlation_with_coin:
    0.0426
  80. btc_indicators
  81. 15m_ema100:
    112303
  82. 15m_price_ema100_diff:
    0.00262715
  83. 15m_price:
    112599
  84. 15m_correlation_with_coin:
    0.001776
  85. btc_indicators
  86. 1H_ema100:
    111669
  87. 1H_price_ema100_diff:
    0.00861916
  88. 1H_price:
    112632
  89. 1H_correlation_with_coin:
    -0.056634
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
08:57:19
09 Sep 2025
11:15:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8593 1.7816 2.0148 2 0.4058
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 1.8593
  • Stop Loss: 1.7816
  • Take Profit: 2.0148

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.7816 - 1.8593 = -0.0777

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8593 - 2.0148 = -0.1555

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1555 / -0.0777 = 2.0013

📌 Position Size

Amount Margin Quantity Leverage
191.368 100 102.9248 1.91
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 -0.0777

Taille de position = 8 / -0.0777 = -102.96

Taille de position USD = -102.96 x 1.8593 = -191.43

Donc, tu peux acheter -102.96 avec un stoploss a 1.7816

Avec un position size USD de -191.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -102.96 x -0.0777 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -102.96 x -0.1555 = 16.01

Si Take Profit atteint, tu gagneras 16.01$

Résumé

  • Taille de position -102.96
  • Taille de position USD -191.43
  • Perte potentielle 8
  • Gain potentiel 16.01
  • Risk-Reward Ratio 2.0013

📌 Peformances

TP % Target TP $ Target
8.36 % 16 $
SL % Target SL $ Target
4.18 % 8 $
PNL PNL %
-8 $ -4.18
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-6.2658 % 149.94 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.0148
            [entry_price] => 1.8593
            [stop_loss] => 1.77383
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 11:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.0148
            [entry_price] => 1.8593
            [stop_loss] => 1.76606
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 11:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.0148
            [entry_price] => 1.8593
            [stop_loss] => 1.75829
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 11:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.0148
            [entry_price] => 1.8593
            [stop_loss] => 1.74275
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 12:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.11
            [max_drawdown] => 0.0293
            [rr_ratio] => 3.75
            [high] => 1.96930000
            [low] => 1.83000000
            [mfe_pct] => 5.92
            [mae_pct] => 1.58
            [mfe_mae_ratio] => 3.75
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T08:57:19-04:00
            [end_at] => 2025-09-09T10:57:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.11
            [max_drawdown] => 0.1504
            [rr_ratio] => 0.73
            [high] => 1.96930000
            [low] => 1.70890000
            [mfe_pct] => 5.92
            [mae_pct] => 8.09
            [mfe_mae_ratio] => 0.73
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T08:57:19-04:00
            [end_at] => 2025-09-09T15:57:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.21590000
            [high_after] => 1.96930000
            [low_before] => 1.82610000
            [low_after] => 1.70890000
            [is_new_high] => 
            [is_new_low] => 
        )

)