Short Trade on MAGIC 11 Oct 2025 at 05:20:55

Take profit at 0.1187 (1.66 %) and Stop Loss at 0.1217 (0.83 %)

Short Trade on MAGIC

The 11 Oct 2025 at 05:20:55

With 7932.7626 MAGIC at 0.1207$ per unit.

Position size of 957.4844 $

Take profit at 0.1187 (1.66 %) and Stop Loss at 0.1217 (0.83 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 4.3
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.62
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.86
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.560026

15m : 0.030228

1H : 0.002773

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0006723172737
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.119229
  4. ema21 : 0.129832
  5. ema50 : 0.146332
  6. ema100 : 0.157794
  7. price_ema9_diff : 0.0123321
  8. ema9_ema21_diff : -0.0816636
  9. ema21_ema50_diff : -0.112757
  10. price_ema100_diff : -0.235082
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -1.71298
  14. ema_slope_21 : -1.57171
  15. ema_slope_50 : -0.967606
  16. ema_slope_100 : -0.572024
  17. rsi : 0.334136
  18. adx : 0.637393
  19. kc_percentage : 0.221921
  20. kc_width_percentage : 0.24595
  21. volume_ema_diff : -0.63413
  22. volume_ema1 : 76232.556175263
  23. volume_ema2 : 208360.1823626
  24. chop : 4.993
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.118995
  29. ema21 : 0.117543
  30. ema50 : 0.121934
  31. ema100 : 0.133793
  32. price_ema9_diff : 0.0143251
  33. ema9_ema21_diff : 0.0123515
  34. ema21_ema50_diff : -0.0360111
  35. price_ema100_diff : -0.0978651
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.282084
  39. ema_slope_21 : 0.159256
  40. ema_slope_50 : -0.152273
  41. ema_slope_100 : -0.25639
  42. rsi : 0.59552
  43. adx : 0.23085
  44. kc_percentage : 0.991493
  45. kc_width_percentage : 0.0526291
  46. volume_ema_diff : -0.85515
  47. volume_ema1 : 7297.9374118357
  48. volume_ema2 : 50382.877654511
  49. chop : 55.3596
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.120525
  54. ema21 : 0.119293
  55. ema50 : 0.117545
  56. ema100 : 0.116003
  57. price_ema9_diff : 0.00144974
  58. ema9_ema21_diff : 0.0103269
  59. ema21_ema50_diff : 0.01487
  60. price_ema100_diff : 0.0404859
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.239018
  64. ema_slope_21 : 0.189593
  65. ema_slope_50 : 0.125991
  66. ema_slope_100 : 0.0851264
  67. rsi : 0.648839
  68. adx : 0.455214
  69. kc_percentage : 1.0178
  70. kc_width_percentage : 0.0211099
  71. volume_ema_diff : -0.793513
  72. volume_ema1 : 1312.6551214399
  73. volume_ema2 : 6357.1032073557
  74. chop : 24.5348
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111648
  80. 5m_price_ema100_diff:
    0.000140231
  81. 5m_price:
    111664
  82. 5m_correlation_with_coin:
    0.560026
  83. btc_indicators
  84. 15m_ema100:
    114864
  85. 15m_price_ema100_diff:
    -0.0279801
  86. 15m_price:
    111650
  87. 15m_correlation_with_coin:
    0.030228
  88. btc_indicators
  89. 1H_ema100:
    119482
  90. 1H_price_ema100_diff:
    -0.0654342
  91. 1H_price:
    111664
  92. 1H_correlation_with_coin:
    0.002773
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
05:20:55
11 Oct 2025
06:30:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1207 0.1217 0.1187 2 0.0635
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 0.1207
  • Stop Loss: 0.1217
  • Take Profit: 0.1187

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1217 - 0.1207 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1207 - 0.1187 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
957.4844 100 7932.7626 9.57
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1207 = 965.6

Donc, tu peux acheter 8000 avec un stoploss a 0.1217

Avec un position size USD de 965.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8000
  • Taille de position USD 965.6
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.66 % 15.87 $
SL % Target SL $ Target
0.83 % 7.93 $
PNL PNL %
-7.93 $ -0.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8285 % 100 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1187
            [entry_price] => 0.1207
            [stop_loss] => 0.1218
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 07:15:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.1187
            [entry_price] => 0.1207
            [stop_loss] => 0.1219
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 07:15:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1187
            [entry_price] => 0.1207
            [stop_loss] => 0.122
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 07:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1187
            [entry_price] => 0.1207
            [stop_loss] => 0.1222
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 07:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 0.001
            [rr_ratio] => 2
            [high] => 0.12170000
            [low] => 0.11870000
            [mfe_pct] => 1.66
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T05:20:55-04:00
            [end_at] => 2025-10-11T07:20:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0045
            [max_drawdown] => 0.001
            [rr_ratio] => 4.5
            [high] => 0.12170000
            [low] => 0.11620000
            [mfe_pct] => 3.73
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 4.5
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T05:20:55-04:00
            [end_at] => 2025-10-11T12:20:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12220000
            [high_after] => 0.12170000
            [low_before] => 0.11350000
            [low_after] => 0.11620000
            [is_new_high] => 
            [is_new_low] => 
        )

)