Long Trade on MAGIC 11 Sep 2025 at 06:27:13

Take profit at 0.216 (1.55 %) and Stop Loss at 0.2111 (0.75 %)

Long Trade on MAGIC

The 11 Sep 2025 at 06:27:13

With 4900.2222 MAGIC at 0.2127$ per unit.

Position size of 1042.2773 $

Take profit at 0.216 (1.55 %) and Stop Loss at 0.2111 (0.75 %)

That's a 2.06 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.39
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.6
Prediction 3 Probability
0 0.55
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium

BTC Correlation Score

5m : 0.053688

15m : 0.121039

1H : 0.052505

1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.00108838603
Details
  1. score: 2.01
  2. 1H
  3. ema9 : 0.214173
  4. ema21 : 0.212301
  5. ema50 : 0.20962
  6. ema100 : 0.206972
  7. price_ema9_diff : -0.00688107
  8. ema9_ema21_diff : 0.00881994
  9. ema21_ema50_diff : 0.01279
  10. price_ema100_diff : 0.0276749
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.218396
  14. ema_slope_21 : 0.162884
  15. ema_slope_50 : 0.107278
  16. ema_slope_100 : 0.0756607
  17. rsi : 0.525248
  18. adx : 0.342224
  19. kc_percentage : 0.517614
  20. kc_width_percentage : 0.0705446
  21. volume_ema_diff : 0.920954
  22. volume_ema1 : 415233.25773508
  23. volume_ema2 : 216159.90794903
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.214979
  28. ema21 : 0.215136
  29. ema50 : 0.213544
  30. ema100 : 0.21176
  31. price_ema9_diff : -0.0106037
  32. ema9_ema21_diff : -0.000729533
  33. ema21_ema50_diff : 0.00745476
  34. price_ema100_diff : 0.00443544
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00277291
  38. ema_slope_21 : 0.0686617
  39. ema_slope_50 : 0.0704959
  40. ema_slope_100 : 0.0523491
  41. rsi : 0.444996
  42. adx : 0.343681
  43. kc_percentage : 0.234729
  44. kc_width_percentage : 0.043961
  45. volume_ema_diff : -0.299766
  46. volume_ema1 : 63383.819333456
  47. volume_ema2 : 90518.181366604
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.21355
  52. ema21 : 0.214687
  53. ema50 : 0.215249
  54. ema100 : 0.2147
  55. price_ema9_diff : -0.00398322
  56. ema9_ema21_diff : -0.00529762
  57. ema21_ema50_diff : -0.00261098
  58. price_ema100_diff : -0.00931867
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0876684
  62. ema_slope_21 : -0.0802234
  63. ema_slope_50 : -0.0325245
  64. ema_slope_100 : -0.00795412
  65. rsi : 0.357095
  66. adx : 0.246705
  67. kc_percentage : -0.0135215
  68. kc_width_percentage : 0.0175612
  69. volume_ema_diff : -0.459446
  70. volume_ema1 : 21123.193983781
  71. volume_ema2 : 39076.949121051
  72. regime : bear_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114002
  77. 5m_price_ema100_diff:
    -0.00128879
  78. 5m_price:
    113855
  79. 5m_correlation_with_coin:
    0.053688
  80. btc_indicators
  81. 15m_ema100:
    113624
  82. 15m_price_ema100_diff:
    0.00277389
  83. 15m_price:
    113939
  84. 15m_correlation_with_coin:
    0.121039
  85. btc_indicators
  86. 1H_ema100:
    112381
  87. 1H_price_ema100_diff:
    0.0131108
  88. 1H_price:
    113855
  89. 1H_correlation_with_coin:
    0.052505
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Sep 2025
06:27:13
11 Sep 2025
07:40:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2127 0.2111 0.216 2.06 0.0622
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 0.2127
  • Stop Loss: 0.2111
  • Take Profit: 0.216

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2111 - 0.2127 = -0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2127 - 0.216 = -0.0033

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0033 / -0.0016 = 2.0625

📌 Position Size

Amount Margin Quantity Leverage
1042.2773 100 4900.2222 10.42
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 -0.0016

Taille de position = 8 / -0.0016 = -5000

Taille de position USD = -5000 x 0.2127 = -1063.5

Donc, tu peux acheter -5000 avec un stoploss a 0.2111

Avec un position size USD de -1063.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5000 x -0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5000 x -0.0033 = 16.5

Si Take Profit atteint, tu gagneras 16.5$

Résumé

  • Taille de position -5000
  • Taille de position USD -1063.5
  • Perte potentielle 8
  • Gain potentiel 16.5
  • Risk-Reward Ratio 2.0625

📌 Peformances

TP % Target TP $ Target
1.55 % 16.17 $
SL % Target SL $ Target
0.75 % 7.84 $
PNL PNL %
-7.84 $ -0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7992 % 106.25 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.216
            [entry_price] => 0.2127
            [stop_loss] => 0.21094
            [rr_ratio] => 1.88
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-11 07:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.216
            [entry_price] => 0.2127
            [stop_loss] => 0.21078
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-11 07:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.216
            [entry_price] => 0.2127
            [stop_loss] => 0.21062
            [rr_ratio] => 1.59
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-11 07:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.216
            [entry_price] => 0.2127
            [stop_loss] => 0.2103
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-11 07:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.004
            [rr_ratio] => 0.32
            [high] => 0.21400000
            [low] => 0.20870000
            [mfe_pct] => 0.61
            [mae_pct] => 1.88
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-09-11T06:27:13-04:00
            [end_at] => 2025-09-11T08:27:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.0056
            [rr_ratio] => 0.23
            [high] => 0.21400000
            [low] => 0.20710000
            [mfe_pct] => 0.61
            [mae_pct] => 2.63
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2025-09-11T06:27:13-04:00
            [end_at] => 2025-09-11T13:27:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22560000
            [high_after] => 0.21400000
            [low_before] => 0.21150000
            [low_after] => 0.20710000
            [is_new_high] => 
            [is_new_low] => 
        )

)