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Short Trade on MIRA

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Short Trade on MIRA 28 Sep 2025 at 14:03:08

Take profit at 1.0699 (2.51 %) and Stop Loss at 1.1112 (1.26 %)

Short Trade on MIRA

The 28 Sep 2025 at 14:03:08

With 581.2917 MIRA at 1.0974$ per unit.

Position size of 637.9095 $

Take profit at 1.0699 (2.51 %) and Stop Loss at 1.1112 (1.26 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.51
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.51
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.066099

15m : 0.073288

1H : -0.135432

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.009174969321
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 1.09236
  4. ema21 : 1.13762
  5. ema50 : 1.23699
  6. ema100 : 0
  7. price_ema9_diff : 0.00461361
  8. ema9_ema21_diff : -0.0397869
  9. ema21_ema50_diff : -0.0803344
  10. price_ema100_diff : 0
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.648428
  14. ema_slope_21 : -0.711239
  15. ema_slope_50 : -0.570593
  16. ema_slope_100 : -0.378386
  17. rsi : 0.380932
  18. adx : 0.237534
  19. kc_percentage : 0.301081
  20. kc_width_percentage : 0.165203
  21. volume_ema_diff : -0.817758
  22. volume_ema1 : 2666737.4055687
  23. volume_ema2 : 14633020.005992
  24. chop : 70.2695
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.07928
  28. ema21 : 1.08098
  29. ema50 : 1.10004
  30. ema100 : 1.13017
  31. price_ema9_diff : 0.0167809
  32. ema9_ema21_diff : -0.00157231
  33. ema21_ema50_diff : -0.0173221
  34. price_ema100_diff : -0.0289962
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0554035
  38. ema_slope_21 : -0.0810713
  39. ema_slope_50 : -0.114852
  40. ema_slope_100 : -0.109274
  41. rsi : 0.559818
  42. adx : 0.169021
  43. kc_percentage : 0.739255
  44. kc_width_percentage : 0.064076
  45. volume_ema_diff : -0.501008
  46. volume_ema1 : 388343.0272361
  47. volume_ema2 : 778255.9782985
  48. chop : 71.409
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.08067
  52. ema21 : 1.07584
  53. ema50 : 1.07749
  54. ema100 : 1.08337
  55. price_ema9_diff : 0.0154781
  56. ema9_ema21_diff : 0.00449179
  57. ema21_ema50_diff : -0.00153239
  58. price_ema100_diff : 0.0129502
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0921364
  62. ema_slope_21 : 0.0263816
  63. ema_slope_50 : -0.00841481
  64. ema_slope_100 : -0.0171265
  65. rsi : 0.686432
  66. adx : 0.19834
  67. kc_percentage : 1.08653
  68. kc_width_percentage : 0.0333222
  69. volume_ema_diff : -0.196886
  70. volume_ema1 : 175236.93874796
  71. volume_ema2 : 218196.87628435
  72. chop : 42.9722
  73. regime : bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109773
  77. 5m_price_ema100_diff: 
    0.00336354
  78. 5m_price: 
    110142
  79. 5m_correlation_with_coin: 
    0.066099
  80. btc_indicators
  81. 15m_ema100: 
    109542
  82. 15m_price_ema100_diff: 
    0.00547166
  83. 15m_price: 
    110142
  84. 15m_correlation_with_coin: 
    0.073288
  85. btc_indicators
  86. 1H_ema100: 
    110231
  87. 1H_price_ema100_diff: 
    -0.000813522
  88. 1H_price: 
    110142
  89. 1H_correlation_with_coin: 
    -0.135432
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Sep 2025
14:03:08		 28 Sep 2025
16:50:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0974 1.1112 1.0699 1.99 0.1059
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 1.0974
  • Stop Loss: 1.1112
  • Take Profit: 1.0699

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1112 - 1.0974 = 0.0138

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0974 - 1.0699 = 0.0275

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0275 / 0.0138 = 1.9928

📌 Position Size

Amount Margin Quantity Leverage
637.9095 100 581.2917 6.38
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 0.0138

Taille de position = 8 / 0.0138 = 579.71

Taille de position USD = 579.71 x 1.0974 = 636.17

Donc, tu peux acheter 579.71 avec un stoploss a 1.1112

Avec un position size USD de 636.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 579.71 x 0.0138 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 579.71 x 0.0275 = 15.94

Si Take Profit atteint, tu gagneras 15.94$

Résumé

  • Taille de position 579.71
  • Taille de position USD 636.17
  • Perte potentielle 8
  • Gain potentiel 15.94
  • Risk-Reward Ratio 1.9928

📌 Peformances

TP % Target TP $ Target
2.51 % 15.99 $
SL % Target SL $ Target
1.26 % 8.02 $
PNL PNL %
-8.02 $ -1.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.7496 % 139.13 % 18

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0699
            [entry_price] => 1.0974
            [stop_loss] => 1.11258
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-28 16:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0699
            [entry_price] => 1.0974
            [stop_loss] => 1.11396
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-28 16:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0699
            [entry_price] => 1.0974
            [stop_loss] => 1.11534
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-28 16:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0699
            [entry_price] => 1.0974
            [stop_loss] => 1.1181
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-28 17:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0271
            [max_drawdown] => 0.0104
            [rr_ratio] => 2.61
            [high] => 1.10780000
            [low] => 1.07030000
            [mfe_pct] => 2.47
            [mae_pct] => 0.95
            [mfe_mae_ratio] => 2.61
            [candles_analyzed] => 24
            [start_at] => 2025-09-28T14:03:08-04:00
            [end_at] => 2025-09-28T16:03:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0271
            [max_drawdown] => 0.0387
            [rr_ratio] => 0.7
            [high] => 1.13610000
            [low] => 1.07030000
            [mfe_pct] => 2.47
            [mae_pct] => 3.53
            [mfe_mae_ratio] => 0.7
            [candles_analyzed] => 84
            [start_at] => 2025-09-28T14:03:08-04:00
            [end_at] => 2025-09-28T21:03:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.11950000
            [high_after] => 1.13610000
            [low_before] => 1.05940000
            [low_after] => 1.07030000
            [is_new_high] => 
            [is_new_low] => 
        )

)