Short Trade on MSTR 08 Oct 2025 at 16:50:09

Take profit at 329.6973 (0.23 %) and Stop Loss at 330.8264 (0.11 %)

Short Trade on MSTR

The 08 Oct 2025 at 16:50:09

With 21.2556 MSTR at 330.45$ per unit.

Position size of 7023.9278 $

Take profit at 329.6973 (0.23 %) and Stop Loss at 330.8264 (0.11 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 3.81
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
0 0.79
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.228368

15m : -0.015063

1H : -0.08701

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.44
  4. atr: 0.2509137392
Details
  1. score: 1.44
  2. 1H
  3. ema9 : 329.476
  4. ema21 : 331.738
  5. ema50 : 338.109
  6. ema100 : 343.407
  7. price_ema9_diff : 0.00295567
  8. ema9_ema21_diff : -0.00682065
  9. ema21_ema50_diff : -0.0188433
  10. price_ema100_diff : -0.037731
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0734524
  14. ema_slope_21 : -0.103485
  15. ema_slope_50 : -0.118835
  16. ema_slope_100 : -0.0851884
  17. rsi : 0.445459
  18. adx : 0.326321
  19. kc_percentage : 0.403112
  20. kc_width_percentage : 0.0329613
  21. volume_ema_diff : 0.591503
  22. volume_ema1 : 249937.62796539
  23. volume_ema2 : 157044.95898304
  24. chop : 32.1358
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 329.67
  29. ema21 : 329.292
  30. ema50 : 330.066
  31. ema100 : 330.533
  32. price_ema9_diff : 0.00236508
  33. ema9_ema21_diff : 0.00114618
  34. ema21_ema50_diff : -0.00234416
  35. price_ema100_diff : -0.000252992
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0380822
  39. ema_slope_21 : 0.00947334
  40. ema_slope_50 : -0.0114382
  41. ema_slope_100 : -0.00854441
  42. rsi : 0.563099
  43. adx : 0.204645
  44. kc_percentage : 0.82677
  45. kc_width_percentage : 0.0108108
  46. volume_ema_diff : -0.914308
  47. volume_ema1 : 6118.6761026959
  48. volume_ema2 : 71403.712975693
  49. chop : 58.6801
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 330.248
  54. ema21 : 329.721
  55. ema50 : 329.158
  56. ema100 : 329.672
  57. price_ema9_diff : 0.00060926
  58. ema9_ema21_diff : 0.00160021
  59. ema21_ema50_diff : 0.00170891
  60. price_ema100_diff : 0.00235958
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0378446
  64. ema_slope_21 : 0.0290757
  65. ema_slope_50 : 0.0162122
  66. ema_slope_100 : 0.00342489
  67. rsi : 0.67927
  68. adx : 0.371685
  69. kc_percentage : 1.44443
  70. kc_width_percentage : 0.00221609
  71. volume_ema_diff : -0.986027
  72. volume_ema1 : 259.43028146149
  73. volume_ema2 : 18566.707878163
  74. chop : 48.8169
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    123120
  80. 5m_price_ema100_diff:
    0.000672431
  81. 5m_price:
    123202
  82. 5m_correlation_with_coin:
    0.228368
  83. btc_indicators
  84. 15m_ema100:
    122531
  85. 15m_price_ema100_diff:
    0.00547778
  86. 15m_price:
    123202
  87. 15m_correlation_with_coin:
    -0.015063
  88. btc_indicators
  89. 1H_ema100:
    122895
  90. 1H_price_ema100_diff:
    0.00250184
  91. 1H_price:
    123202
  92. 1H_correlation_with_coin:
    -0.08701
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Oct 2025
16:50:09
08 Oct 2025
18:35:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
330.45 330.8264 329.6973 2 132.95
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 330.45
  • Stop Loss: 330.8264
  • Take Profit: 329.6973

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 330.8264 - 330.45 = 0.37639999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 330.45 - 329.6973 = 0.7527

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.7527 / 0.37639999999999 = 1.9997

📌 Position Size

Amount Margin Quantity Leverage
7023.9278 100 21.2556 70.24
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 0.37639999999999

Taille de position = 8 / 0.37639999999999 = 21.25

Taille de position USD = 21.25 x 330.45 = 7022.06

Donc, tu peux acheter 21.25 avec un stoploss a 330.8264

Avec un position size USD de 7022.06$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 21.25 x 0.37639999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 21.25 x 0.7527 = 15.99

Si Take Profit atteint, tu gagneras 15.99$

Résumé

  • Taille de position 21.25
  • Taille de position USD 7022.06
  • Perte potentielle 8
  • Gain potentiel 15.99
  • Risk-Reward Ratio 1.9997

📌 Peformances

TP % Target TP $ Target
0.23 % 16 $
SL % Target SL $ Target
0.11 % 8 $
PNL PNL %
-8 $ -0.11
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1483 % 130.2 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 329.6973
            [entry_price] => 330.45
            [stop_loss] => 330.86404
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 18:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 329.6973
            [entry_price] => 330.45
            [stop_loss] => 330.90168
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 18:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 329.6973
            [entry_price] => 330.45
            [stop_loss] => 330.93932
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 18:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 329.6973
            [entry_price] => 330.45
            [stop_loss] => 331.0146
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 21:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.12
            [max_drawdown] => 0.49000000000001
            [rr_ratio] => -0.24
            [high] => 330.94000000
            [low] => 330.57000000
            [mfe_pct] => -0.04
            [mae_pct] => 0.15
            [mfe_mae_ratio] => -0.24
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T16:50:09-04:00
            [end_at] => 2025-10-08T18:50:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.3
            [max_drawdown] => 0.49000000000001
            [rr_ratio] => 10.82
            [high] => 330.94000000
            [low] => 325.15000000
            [mfe_pct] => 1.6
            [mae_pct] => 0.15
            [mfe_mae_ratio] => 10.82
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T16:50:09-04:00
            [end_at] => 2025-10-08T23:50:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 331.27000000
            [high_after] => 330.94000000
            [low_before] => 324.82000000
            [low_after] => 326.40000000
            [is_new_high] => 
            [is_new_low] => 
        )

)