Short Trade on ALPINE 09 Oct 2025 at 16:57:37

Take profit at 1.3431 (1 %) and Stop Loss at 1.3635 (0.5 %)

Short Trade on ALPINE

The 09 Oct 2025 at 16:57:37

With 1178.7162 ALPINE at 1.3567$ per unit.

Position size of 1599.1643 $

Take profit at 1.3431 (1 %) and Stop Loss at 1.3635 (0.5 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.7
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.85
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low

BTC Correlation Score

5m : 0.34747

15m : 0.09952

1H : 0.000105

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.004524696775
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 1.35446
  4. ema21 : 1.37733
  5. ema50 : 1.41721
  6. ema100 : 1.43636
  7. price_ema9_diff : 0.00165045
  8. ema9_ema21_diff : -0.0166014
  9. ema21_ema50_diff : -0.0281435
  10. price_ema100_diff : -0.0554636
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.317955
  14. ema_slope_21 : -0.292808
  15. ema_slope_50 : -0.216404
  16. ema_slope_100 : -0.123528
  17. rsi : 0.396253
  18. adx : 0.219739
  19. kc_percentage : 0.300345
  20. kc_width_percentage : 0.0695129
  21. volume_ema_diff : -0.451854
  22. volume_ema1 : 143769.25449324
  23. volume_ema2 : 262283.04009933
  24. chop : 62.7412
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.3457
  29. ema21 : 1.34754
  30. ema50 : 1.36186
  31. ema100 : 1.38507
  32. price_ema9_diff : 0.00817232
  33. ema9_ema21_diff : -0.00136748
  34. ema21_ema50_diff : -0.0105118
  35. price_ema100_diff : -0.0204874
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0127212
  39. ema_slope_21 : -0.0461974
  40. ema_slope_50 : -0.0690122
  41. ema_slope_100 : -0.0678048
  42. rsi : 0.524887
  43. adx : 0.170569
  44. kc_percentage : 0.759576
  45. kc_width_percentage : 0.0269687
  46. volume_ema_diff : -0.445144
  47. volume_ema1 : 23823.929312719
  48. volume_ema2 : 42937.21174483
  49. chop : 79.2937
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 1.35095
  54. ema21 : 1.34743
  55. ema50 : 1.34718
  56. ema100 : 1.352
  57. price_ema9_diff : 0.00425163
  58. ema9_ema21_diff : 0.00261427
  59. ema21_ema50_diff : 0.000183059
  60. price_ema100_diff : 0.00346959
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0569619
  64. ema_slope_21 : 0.029566
  65. ema_slope_50 : 0.00594637
  66. ema_slope_100 : -0.00600181
  67. rsi : 0.656521
  68. adx : 0.148099
  69. kc_percentage : 1.02868
  70. kc_width_percentage : 0.012702
  71. volume_ema_diff : -0.065563
  72. volume_ema1 : 10349.393070393
  73. volume_ema2 : 11075.53886128
  74. chop : 43.4618
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121320
  80. 5m_price_ema100_diff:
    -0.00219658
  81. 5m_price:
    121054
  82. 5m_correlation_with_coin:
    0.34747
  83. btc_indicators
  84. 15m_ema100:
    121856
  85. 15m_price_ema100_diff:
    -0.00719817
  86. 15m_price:
    120979
  87. 15m_correlation_with_coin:
    0.09952
  88. btc_indicators
  89. 1H_ema100:
    122574
  90. 1H_price_ema100_diff:
    -0.0124069
  91. 1H_price:
    121054
  92. 1H_correlation_with_coin:
    0.000105
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Oct 2025
16:57:37
09 Oct 2025
17:00:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.3567 1.3635 1.3431 2 0.54
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 1.3567
  • Stop Loss: 1.3635
  • Take Profit: 1.3431

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.3635 - 1.3567 = 0.0067999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.3567 - 1.3431 = 0.0136

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0136 / 0.0067999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1599.1643 100 1178.7162 15.99
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 0.0067999999999999

Taille de position = 8 / 0.0067999999999999 = 1176.47

Taille de position USD = 1176.47 x 1.3567 = 1596.12

Donc, tu peux acheter 1176.47 avec un stoploss a 1.3635

Avec un position size USD de 1596.12$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1176.47 x 0.0067999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1176.47 x 0.0136 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1176.47
  • Taille de position USD 1596.12
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1 % 16.03 $
SL % Target SL $ Target
0.5 % 8.02 $
PNL PNL %
-8.02 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.516 % 102.95 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.3431
            [entry_price] => 1.3567
            [stop_loss] => 1.36418
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-09 18:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.3431
            [entry_price] => 1.3567
            [stop_loss] => 1.36486
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-09 18:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.3431
            [entry_price] => 1.3567
            [stop_loss] => 1.36554
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-09 18:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.3431
            [entry_price] => 1.3567
            [stop_loss] => 1.3669
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-09 18:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0058
            [max_drawdown] => 0.0144
            [rr_ratio] => 0.4
            [high] => 1.37110000
            [low] => 1.35090000
            [mfe_pct] => 0.43
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 24
            [start_at] => 2025-10-09T16:57:37-04:00
            [end_at] => 2025-10-09T18:57:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0186
            [max_drawdown] => 0.0289
            [rr_ratio] => 0.64
            [high] => 1.38560000
            [low] => 1.33810000
            [mfe_pct] => 1.37
            [mae_pct] => 2.13
            [mfe_mae_ratio] => 0.64
            [candles_analyzed] => 84
            [start_at] => 2025-10-09T16:57:37-04:00
            [end_at] => 2025-10-09T23:57:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.36330000
            [high_after] => 1.38560000
            [low_before] => 1.33440000
            [low_after] => 1.35000000
            [is_new_high] => 
            [is_new_low] => 
        )

)