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Short Trade on MSTR

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Short Trade on MSTR 16 Oct 2025 at 23:46:12

Take profit at 288.2401 (0.12 %) and Stop Loss at 288.7799 (0.062 %)

Short Trade on MSTR

The 16 Oct 2025 at 23:46:12

With 44.4571 MSTR at 288.6$ per unit.

Position size of 12830.3194 $

Take profit at 288.2401 (0.12 %) and Stop Loss at 288.7799 (0.062 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 10
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.92
Prediction 2 Probability
1 0.64
Prediction 3 Probability
1 0.85
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.213891

15m : 0.038242

1H : 0.00577

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.32
  4. atr: 0.1199658367
Details
  1. score: 1.32
  2. 1H
  3. ema9 : 288.086
  4. ema21 : 290.935
  5. ema50 : 295.851
  6. ema100 : 300.054
  7. price_ema9_diff : 0.0017831
  8. ema9_ema21_diff : -0.00979164
  9. ema21_ema50_diff : -0.0166166
  10. price_ema100_diff : -0.0381739
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.27341
  14. ema_slope_21 : -0.227467
  15. ema_slope_50 : -0.149598
  16. ema_slope_100 : -0.0966666
  17. rsi : 0.401081
  18. adx : 0.357528
  19. kc_percentage : 0.263843
  20. kc_width_percentage : 0.0308382
  21. volume_ema_diff : 1.08359
  22. volume_ema1 : 350959.4115502
  23. volume_ema2 : 168439.26515164
  24. chop : 27.4634
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 288.26
  28. ema21 : 287.691
  29. ema50 : 288.855
  30. ema100 : 291.941
  31. price_ema9_diff : 0.00117632
  32. ema9_ema21_diff : 0.00198051
  33. ema21_ema50_diff : -0.00403229
  34. price_ema100_diff : -0.0114449
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0467936
  38. ema_slope_21 : 0.0384665
  39. ema_slope_50 : -0.0100336
  40. ema_slope_100 : -0.0281991
  41. rsi : 0.576915
  42. adx : 0.209237
  43. kc_percentage : 0.988901
  44. kc_width_percentage : 0.00629966
  45. volume_ema_diff : -0.760332
  46. volume_ema1 : 18189.885258148
  47. volume_ema2 : 75896.462925654
  48. chop : 49.917
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 288.509
  52. ema21 : 288.292
  53. ema50 : 287.628
  54. ema100 : 286.695
  55. price_ema9_diff : 0.000314153
  56. ema9_ema21_diff : 0.000753713
  57. ema21_ema50_diff : 0.00230566
  58. price_ema100_diff : 0.00664266
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0184491
  62. ema_slope_21 : 0.0135556
  63. ema_slope_50 : 0.0153029
  64. ema_slope_100 : 0.0140467
  65. rsi : 0.644028
  66. adx : 0.235318
  67. kc_percentage : 1.32335
  68. kc_width_percentage : 0.00121932
  69. volume_ema_diff : -0.978217
  70. volume_ema1 : 660.31284415531
  71. volume_ema2 : 30313.35375203
  72. chop : 60.7481
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108396
  77. 5m_price_ema100_diff: 
    0.00433254
  78. 5m_price: 
    108866
  79. 5m_correlation_with_coin: 
    0.213891
  80. btc_indicators
  81. 15m_ema100: 
    109413
  82. 15m_price_ema100_diff: 
    -0.00499823
  83. 15m_price: 
    108866
  84. 15m_correlation_with_coin: 
    0.038242
  85. btc_indicators
  86. 1H_ema100: 
    111658
  87. 1H_price_ema100_diff: 
    -0.0250096
  88. 1H_price: 
    108866
  89. 1H_correlation_with_coin: 
    0.00577
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-14 16:00:00
                    [1] => 299
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-15 00:00:00
                    [1] => 301.26
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-15 04:00:00
                    [1] => 307.22
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-15 10:00:00
                    [1] => 307.55
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-15 13:00:00
                    [1] => 295.51
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-15 23:00:00
                    [1] => 301.25
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 295.93
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 302.07
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 16:00:00
                    [1] => 283.08
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 21:00:00
                    [1] => 289.84
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.43127242616616
            [ms_dist_from_last_low_pct] => 1.9464462342801
            [ms_bars_since_swing_high] => 2
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 2.3880175215487
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-16 05:30:00
                    [1] => 295.93
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 302.07
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 12:30:00
                    [1] => 286.25
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 13:30:00
                    [1] => 293.02
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 283.08
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 284.15
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 21:15:00
                    [1] => 289.84
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 22:15:00
                    [1] => 287.25
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 23:00:00
                    [1] => 288.6
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 23:30:00
                    [1] => 288.6
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.00346500346502
            [ms_dist_from_last_low_pct] => 0.46649260226283
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 0
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-16 21:15:00
                    [1] => 289.84
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 21:25:00
                    [1] => 289.84
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 21:40:00
                    [1] => 287.73
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 22:15:00
                    [1] => 287.25
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 22:25:00
                    [1] => 287.25
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 22:35:00
                    [1] => 288.2
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 23:10:00
                    [1] => 288.6
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 23:20:00
                    [1] => 288.6
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 23:30:00
                    [1] => 288.6
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 23:40:00
                    [1] => 288.6
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.00346500346502
            [ms_dist_from_last_low_pct] => 0.13879732121169
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 0
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
0.00%
Dist From Last Low Pct
0.14%
Bars Since Swing High
1 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
0.00%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
1.0601
0.37%
TP to Pivot Distance
0.9901
0.34%
DateTime Price Type
2025-10-16 21:15:00 289.84 ↑ High
2025-10-16 21:25:00 289.84 ↑ High
2025-10-16 21:40:00 287.73 ↓ Low
2025-10-16 22:15:00 287.25 ↓ Low
2025-10-16 22:25:00 287.25 ↓ Low
2025-10-16 22:35:00 288.2 ↑ High
2025-10-16 23:10:00 288.6 ↑ High
2025-10-16 23:20:00 288.6 ↑ High
2025-10-16 23:30:00 288.6 ↑ High
2025-10-16 23:40:00 288.6 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
0.00%
Dist From Last Low Pct
0.47%
Bars Since Swing High
1 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
0.00%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
13.2901
4.60%
TP to Pivot Distance
5.1601
1.79%
DateTime Price Type
2025-10-16 05:30:00 295.93 ↓ Low
2025-10-16 08:00:00 302.07 ↑ High
2025-10-16 12:30:00 286.25 ↓ Low
2025-10-16 13:30:00 293.02 ↑ High
2025-10-16 16:30:00 283.08 ↓ Low
2025-10-16 19:00:00 284.15 ↓ Low
2025-10-16 21:15:00 289.84 ↑ High
2025-10-16 22:15:00 287.25 ↓ Low
2025-10-16 23:00:00 288.6 ↑ High
2025-10-16 23:30:00 288.6 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.43%
Dist From Last Low Pct
1.95%
Bars Since Swing High
2 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
2.39%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
18.7701
6.50%
TP to Pivot Distance
5.1601
1.79%
DateTime Price Type
2025-10-14 16:00:00 299 ↓ Low
2025-10-15 00:00:00 301.26 ↓ Low
2025-10-15 04:00:00 307.22 ↑ High
2025-10-15 10:00:00 307.55 ↑ High
2025-10-15 13:00:00 295.51 ↓ Low
2025-10-15 23:00:00 301.25 ↑ High
2025-10-16 05:00:00 295.93 ↓ Low
2025-10-16 08:00:00 302.07 ↑ High
2025-10-16 16:00:00 283.08 ↓ Low
2025-10-16 21:00:00 289.84 ↑ High

📌 Time Data

Start at Closed at Duration
16 Oct 2025
23:46:12		 16 Oct 2025
23:50:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
288.6 288.7799 288.2401 2 132.99
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 288.6
  • Stop Loss: 288.7799
  • Take Profit: 288.2401

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 288.7799 - 288.6 = 0.17989999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 288.6 - 288.2401 = 0.35990000000004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.35990000000004 / 0.17989999999998 = 2.0006

📌 Position Size

Amount Margin Quantity Leverage
12830.3194 100 44.4571 128.30
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 0.17989999999998

Taille de position = 8 / 0.17989999999998 = 44.47

Taille de position USD = 44.47 x 288.6 = 12834.04

Donc, tu peux acheter 44.47 avec un stoploss a 288.7799

Avec un position size USD de 12834.04$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 44.47 x 0.17989999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 44.47 x 0.35990000000004 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 44.47
  • Taille de position USD 12834.04
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2.0006

📌 Peformances

TP % Target TP $ Target
0.12 % 16 $
SL % Target SL $ Target
0.062 % 8 $
PNL PNL %
-8 $ -0.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2356 % 378.17 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 288.2401
            [entry_price] => 288.6
            [stop_loss] => 288.79789
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-16 23:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 288.2401
            [entry_price] => 288.6
            [stop_loss] => 288.81588
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-16 23:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 288.2401
            [entry_price] => 288.6
            [stop_loss] => 288.83387
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-16 23:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 288.2401
            [entry_price] => 288.6
            [stop_loss] => 288.86985
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-16 23:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.43
            [max_drawdown] => 0.67999999999995
            [rr_ratio] => 5.04
            [high] => 289.28000000
            [low] => 285.17000000
            [mfe_pct] => 1.19
            [mae_pct] => 0.24
            [mfe_mae_ratio] => 5.04
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T23:46:12-04:00
            [end_at] => 2025-10-17T01:46:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 18.26
            [max_drawdown] => 0.67999999999995
            [rr_ratio] => 26.85
            [high] => 289.28000000
            [low] => 270.34000000
            [mfe_pct] => 6.33
            [mae_pct] => 0.24
            [mfe_mae_ratio] => 26.85
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T23:46:12-04:00
            [end_at] => 2025-10-17T06:46:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 289.84000000
            [high_after] => 289.28000000
            [low_before] => 284.98000000
            [low_after] => 270.34000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)