Short Trade on ALPINE 09 Oct 2025 at 18:23:38

Take profit at 1.3531 (1 %) and Stop Loss at 1.3735 (0.5 %)

Short Trade on ALPINE

The 09 Oct 2025 at 18:23:38

With 1172.162 ALPINE at 1.3667$ per unit.

Position size of 1601.9938 $

Take profit at 1.3531 (1 %) and Stop Loss at 1.3735 (0.5 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.21
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.52
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.62
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 : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.119466

15m : 0.059293

1H : 0.055729

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.004549996875
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 1.35838
  4. ema21 : 1.37529
  5. ema50 : 1.4132
  6. ema100 : 1.4332
  7. price_ema9_diff : 0.00612042
  8. ema9_ema21_diff : -0.0122947
  9. ema21_ema50_diff : -0.0268265
  10. price_ema100_diff : -0.0464
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.237199
  14. ema_slope_21 : -0.258368
  15. ema_slope_50 : -0.206813
  16. ema_slope_100 : -0.121606
  17. rsi : 0.438624
  18. adx : 0.198714
  19. kc_percentage : 0.418936
  20. kc_width_percentage : 0.0634236
  21. volume_ema_diff : -0.63245
  22. volume_ema1 : 90174.907196995
  23. volume_ema2 : 245341.01261121
  24. chop : 68.8999
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.35604
  29. ema21 : 1.35274
  30. ema50 : 1.36114
  31. ema100 : 1.38058
  32. price_ema9_diff : 0.00785756
  33. ema9_ema21_diff : 0.0024399
  34. ema21_ema50_diff : -0.00616934
  35. price_ema100_diff : -0.0100556
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0772173
  39. ema_slope_21 : 0.0216571
  40. ema_slope_50 : -0.0304855
  41. ema_slope_100 : -0.0457029
  42. rsi : 0.580897
  43. adx : 0.184753
  44. kc_percentage : 0.897218
  45. kc_width_percentage : 0.0256982
  46. volume_ema_diff : -0.633349
  47. volume_ema1 : 13915.425244647
  48. volume_ema2 : 37952.857896563
  49. chop : 60.9703
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 1.36066
  54. ema21 : 1.35698
  55. ema50 : 1.35259
  56. ema100 : 1.35135
  57. price_ema9_diff : 0.0044348
  58. ema9_ema21_diff : 0.0027098
  59. ema21_ema50_diff : 0.00325071
  60. price_ema100_diff : 0.0113541
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0310143
  64. ema_slope_21 : 0.0337562
  65. ema_slope_50 : 0.0238643
  66. ema_slope_100 : 0.0121542
  67. rsi : 0.665423
  68. adx : 0.175105
  69. kc_percentage : 1.03427
  70. kc_width_percentage : 0.0129462
  71. volume_ema_diff : -0.5217
  72. volume_ema1 : 4583.3260388011
  73. volume_ema2 : 9582.5383474881
  74. chop : 55.1535
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121154
  80. 5m_price_ema100_diff:
    0.00285626
  81. 5m_price:
    121500
  82. 5m_correlation_with_coin:
    0.119466
  83. btc_indicators
  84. 15m_ema100:
    121787
  85. 15m_price_ema100_diff:
    -0.00235171
  86. 15m_price:
    121500
  87. 15m_correlation_with_coin:
    0.059293
  88. btc_indicators
  89. 1H_ema100:
    122469
  90. 1H_price_ema100_diff:
    -0.00791001
  91. 1H_price:
    121500
  92. 1H_correlation_with_coin:
    0.055729
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Oct 2025
18:23:38
09 Oct 2025
19:00:00
36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.3667 1.3735 1.3531 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 1.3667
  • Stop Loss: 1.3735
  • Take Profit: 1.3531

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.3735 - 1.3667 = 0.0067999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.3667 - 1.3531 = 0.0136

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0136 / 0.0067999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1601.9938 100 1172.162 16.02
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 1.3667 = 1607.88

Donc, tu peux acheter 1176.47 avec un stoploss a 1.3735

Avec un position size USD de 1607.88$

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 1607.88
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1 % 15.94 $
SL % Target SL $ Target
0.5 % 7.97 $
PNL PNL %
-7.97 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8341 % 167.66 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.3531
            [entry_price] => 1.3667
            [stop_loss] => 1.37418
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-09 19:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.3531
            [entry_price] => 1.3667
            [stop_loss] => 1.37486
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-09 19:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.3531
            [entry_price] => 1.3667
            [stop_loss] => 1.37554
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-09 19:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.3531
            [entry_price] => 1.3667
            [stop_loss] => 1.3769
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-09 19:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0034000000000001
            [max_drawdown] => 0.0177
            [rr_ratio] => 0.19
            [high] => 1.38440000
            [low] => 1.36330000
            [mfe_pct] => 0.25
            [mae_pct] => 1.3
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-10-09T18:23:38-04:00
            [end_at] => 2025-10-09T20:23:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0334
            [max_drawdown] => 0.0189
            [rr_ratio] => 1.77
            [high] => 1.38560000
            [low] => 1.33330000
            [mfe_pct] => 2.44
            [mae_pct] => 1.38
            [mfe_mae_ratio] => 1.77
            [candles_analyzed] => 84
            [start_at] => 2025-10-09T18:23:38-04:00
            [end_at] => 2025-10-10T01:23:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.36780000
            [high_after] => 1.38560000
            [low_before] => 1.33440000
            [low_after] => 1.33810000
            [is_new_high] => 
            [is_new_low] => 
        )

)