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Short Trade on ALPHA

Short Trade on ALPHA

The 19 Sep 2025 at 13:52:48

With 52885.1054 ALPHA at 0.01963$ per unit.

Position size of 1038.1346 $

Take profit at 0.01933 (1.53 %) and Stop Loss at 0.01978 (0.76 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.82
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.71
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium_confirmed
BTC Correlation Score

5m : 0.197284

15m : -0.046575

1H : 0.040751

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.0001008475505
Details
  1. score: 1.15
  2. 1H
  3. ema9 - 0.0194797
  4. ema21 - 0.0199527
  5. ema50 - 0.0201915
  6. ema100 - 0.0194621
  7. price_ema9_diff - 0.00771569
  8. ema9_ema21_diff - -0.0237079
  9. ema21_ema50_diff - -0.0118258
  10. price_ema100_diff - 0.00862702
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.447995
  14. ema_slope_21 - -0.425091
  15. ema_slope_50 - -0.175641
  16. ema_slope_100 - 0.00438523
  17. rsi - 0.431487
  18. adx - 0.240038
  19. kc_percentage - 0.367183
  20. kc_width_percentage - 0.110676
  21. volume_ema_diff - -0.608788
  22. volume_ema1 - 182768.97808073
  23. volume_ema2 - 467187.2904397
  24. chop - 68.8074
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0194003
  28. ema21 - 0.0193707
  29. ema50 - 0.0196214
  30. ema100 - 0.0200944
  31. price_ema9_diff - 0.0118359
  32. ema9_ema21_diff - 0.00153086
  33. ema21_ema50_diff - -0.0127794
  34. price_ema100_diff - -0.0231125
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0826363
  38. ema_slope_21 - -0.0124122
  39. ema_slope_50 - -0.076295
  40. ema_slope_100 - -0.0866784
  41. rsi - 0.565064
  42. adx - 0.250235
  43. kc_percentage - 0.815339
  44. kc_width_percentage - 0.0424328
  45. volume_ema_diff - -0.593334
  46. volume_ema1 - 20690.676023158
  47. volume_ema2 - 50878.850682587
  48. chop - 38.9558
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0194626
  52. ema21 - 0.0193751
  53. ema50 - 0.0193245
  54. ema100 - 0.0194068
  55. price_ema9_diff - 0.00859787
  56. ema9_ema21_diff - 0.00451724
  57. ema21_ema50_diff - 0.00261668
  58. price_ema100_diff - 0.0114987
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.067931
  62. ema_slope_21 - 0.0578651
  63. ema_slope_50 - 0.0263193
  64. ema_slope_100 - 0.00136885
  65. rsi - 0.674791
  66. adx - 0.368591
  67. kc_percentage - 1.15217
  68. kc_width_percentage - 0.0194922
  69. volume_ema_diff - -0.00819485
  70. volume_ema1 - 14269.955816762
  71. volume_ema2 - 14387.862199281
  72. chop - 50.5868
  73. regime - bull_medium_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 116079
  77. 5m_price_ema100_diff: -0.00478471
  78. 5m_price: 115524
  79. 5m_correlation_with_coin: 0.197284
  80. btc_indicators
  81. 15m_ema100: 116633
  82. 15m_price_ema100_diff: -0.00880708
  83. 15m_price: 115606
  84. 15m_correlation_with_coin: -0.046575
  85. btc_indicators
  86. 1H_ema100: 116278
  87. 1H_price_ema100_diff: -0.00648734
  88. 1H_price: 115524
  89. 1H_correlation_with_coin: 0.040751
    90. ¸

📌 Time Data

Start at Closed at Duration
19 Sep 2025
13:52:48		 19 Sep 2025
19:10:00		 5 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01963 0.01978 0.01933 2 0.01155
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 0.01963
  • Stop Loss: 0.01978
  • Take Profit: 0.01933

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01978 - 0.01963 = 0.00015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01963 - 0.01933 = 0.0003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0003 / 0.00015 = 2

📌 Position Size

Amount Margin Quantity Leverage
1038.1346 100 52885.1054 10.38
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 0.00015

Taille de position = 8 / 0.00015 = 53333.33

Taille de position USD = 53333.33 x 0.01963 = 1046.93

Donc, tu peux acheter 53333.33 avec un stoploss a 0.01978

Avec un position size USD de 1046.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 53333.33 x 0.00015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 53333.33 x 0.0003 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 53333.33
  • Taille de position USD 1046.93
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.53 % 15.87 $
SL % Target SL $ Target
0.76 % 7.93 $
PNL PNL %
-7.93 $ -0.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.917 % 120.01 % 35

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01933
            [entry_price] => 0.01963
            [stop_loss] => 0.019795
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-19 19:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01933
            [entry_price] => 0.01963
            [stop_loss] => 0.01981
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-19 19:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01933
            [entry_price] => 0.01963
            [stop_loss] => 0.019825
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-19 19:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01933
            [entry_price] => 0.01963
            [stop_loss] => 0.019855
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-19 19:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00021
            [max_drawdown] => 9.9999999999999E-5
            [rr_ratio] => 2.1
            [high] => 0.01973000
            [low] => 0.01942000
            [mfe_pct] => 1.07
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 2.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-19T13:52:48-04:00
            [end_at] => 2025-09-19T15:52:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00021
            [max_drawdown] => 0.0009
            [rr_ratio] => 0.23
            [high] => 0.02053000
            [low] => 0.01942000
            [mfe_pct] => 1.07
            [mae_pct] => 4.58
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2025-09-19T13:52:48-04:00
            [end_at] => 2025-09-19T20:52:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01989000
            [high_after] => 0.01988000
            [low_before] => 0.01876000
            [low_after] => 0.01942000
            [is_new_high] => 
            [is_new_low] => 
        )

)