Short Trade on MSTR 08 Oct 2025 at 17:45:29

Take profit at 330.2 (0.12 %) and Stop Loss at 330.8 (0.06 %)

Short Trade on MSTR

The 08 Oct 2025 at 17:45:29

With 39.9993 MSTR at 330.6$ per unit.

Position size of 13223.7592 $

Take profit at 330.2 (0.12 %) and Stop Loss at 330.8 (0.06 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 6.35
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.87
Prediction 3 Probability
0 0.52
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.433846

15m : 0.179273

1H : 0.037713

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.1333357609
Details
  1. score: 1.23
  2. 1H
  3. ema9 : 329.72
  4. ema21 : 331.645
  5. ema50 : 337.82
  6. ema100 : 343.155
  7. price_ema9_diff : 0.0026685
  8. ema9_ema21_diff : -0.00580468
  9. ema21_ema50_diff : -0.0182782
  10. price_ema100_diff : -0.0365893
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0780346
  14. ema_slope_21 : -0.1028
  15. ema_slope_50 : -0.117952
  16. ema_slope_100 : -0.0853894
  17. rsi : 0.448552
  18. adx : 0.310019
  19. kc_percentage : 0.416503
  20. kc_width_percentage : 0.0300474
  21. volume_ema_diff : 0.121893
  22. volume_ema1 : 169881.62082137
  23. volume_ema2 : 151423.95039332
  24. chop : 32.8388
  25. regime : bear_medium
  26. ¸
  27. 15m
  28. ema9 : 330.249
  29. ema21 : 329.727
  30. ema50 : 330.187
  31. ema100 : 330.784
  32. price_ema9_diff : 0.00106052
  33. ema9_ema21_diff : 0.00158335
  34. ema21_ema50_diff : -0.00139183
  35. price_ema100_diff : -0.000558153
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0472754
  39. ema_slope_21 : 0.0227226
  40. ema_slope_50 : -0.0028355
  41. ema_slope_100 : -0.00570981
  42. rsi : 0.568031
  43. adx : 0.18465
  44. kc_percentage : 0.848628
  45. kc_width_percentage : 0.00747615
  46. volume_ema_diff : -0.961844
  47. volume_ema1 : 2255.9727149358
  48. volume_ema2 : 59125.81584511
  49. chop : 59.6074
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 330.617
  54. ema21 : 330.333
  55. ema50 : 329.676
  56. ema100 : 329.718
  57. price_ema9_diff : -5.4001E-5
  58. ema9_ema21_diff : 0.000861632
  59. ema21_ema50_diff : 0.00199353
  60. price_ema100_diff : 0.002675
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0105836
  64. ema_slope_21 : 0.0173212
  65. ema_slope_50 : 0.0152651
  66. ema_slope_100 : 0.00642402
  67. rsi : 0.654602
  68. adx : 0.467936
  69. kc_percentage : 1.22666
  70. kc_width_percentage : 0.00098969
  71. volume_ema_diff : -0.981689
  72. volume_ema1 : 230.73564708726
  73. volume_ema2 : 12600.94203601
  74. chop : 94.5717
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    123108
  80. 5m_price_ema100_diff:
    0.00134553
  81. 5m_price:
    123274
  82. 5m_correlation_with_coin:
    0.433846
  83. btc_indicators
  84. 15m_ema100:
    122568
  85. 15m_price_ema100_diff:
    0.00575621
  86. 15m_price:
    123274
  87. 15m_correlation_with_coin:
    0.179273
  88. btc_indicators
  89. 1H_ema100:
    122872
  90. 1H_price_ema100_diff:
    0.00327154
  91. 1H_price:
    123274
  92. 1H_correlation_with_coin:
    0.037713
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Oct 2025
17:45:29
08 Oct 2025
17:50:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
330.6 330.8 330.2 2 134.53
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 330.6
  • Stop Loss: 330.8
  • Take Profit: 330.2

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 330.8 - 330.6 = 0.19999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 330.6 - 330.2 = 0.40000000000003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.40000000000003 / 0.19999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
13223.7592 100 39.9993 132.24
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 0.19999999999999

Taille de position = 8 / 0.19999999999999 = 40

Taille de position USD = 40 x 330.6 = 13224

Donc, tu peux acheter 40 avec un stoploss a 330.8

Avec un position size USD de 13224$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 40 x 0.19999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 40 x 0.40000000000003 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 40
  • Taille de position USD 13224
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.12 % 16 $
SL % Target SL $ Target
0.06 % 8 $
PNL PNL %
-8 $ -0.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0605 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 330.2
            [entry_price] => 330.6
            [stop_loss] => 330.82
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 18:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 330.2
            [entry_price] => 330.6
            [stop_loss] => 330.84
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 18:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 330.2
            [entry_price] => 330.6
            [stop_loss] => 330.86
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 18:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 330.2
            [entry_price] => 330.6
            [stop_loss] => 330.9
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 18:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.15000000000003
            [max_drawdown] => 0.33999999999997
            [rr_ratio] => 0.44
            [high] => 330.94000000
            [low] => 330.45000000
            [mfe_pct] => 0.05
            [mae_pct] => 0.1
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T17:45:29-04:00
            [end_at] => 2025-10-08T19:45:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.45
            [max_drawdown] => 0.33999999999997
            [rr_ratio] => 16.03
            [high] => 330.94000000
            [low] => 325.15000000
            [mfe_pct] => 1.65
            [mae_pct] => 0.1
            [mfe_mae_ratio] => 16.03
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T17:45:29-04:00
            [end_at] => 2025-10-09T00:45:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 330.80000000
            [high_after] => 330.94000000
            [low_before] => 327.48000000
            [low_after] => 325.15000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)