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Short Trade on ALPINE

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Short Trade on ALPINE 01 Oct 2025 at 06:32:30

Take profit at 1.7586 (6.94 %) and Stop Loss at 1.9552 (3.47 %)

Short Trade on ALPINE

The 01 Oct 2025 at 06:32:30

With 122.0887 ALPINE at 1.8897$ per unit.

Position size of 230.711 $

Take profit at 1.7586 (6.94 %) and Stop Loss at 1.9552 (3.47 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.46
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.67
Prediction 2 Probability
0 0.44
Prediction 3 Probability
0 0.71
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bear_high
BTC Correlation Score

5m : 0.065606

15m : 0.020705

1H : 0.036345

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.04368408855
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 2.64444
  4. ema21 : 4.1801
  5. ema50 : 5.32606
  6. ema100 : 5.70199
  7. price_ema9_diff : -0.285408
  8. ema9_ema21_diff : -0.367372
  9. ema21_ema50_diff : -0.215161
  10. price_ema100_diff : -0.668589
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -5.29068
  14. ema_slope_21 : -3.40665
  15. ema_slope_50 : -1.68476
  16. ema_slope_100 : -0.868349
  17. rsi : 0.214762
  18. adx : 0.332334
  19. kc_percentage : -0.211785
  20. kc_width_percentage : 1.638
  21. volume_ema_diff : -0.575167
  22. volume_ema1 : 2843701.6494252
  23. volume_ema2 : 6693704.9128068
  24. chop : 30.0201
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.80379
  28. ema21 : 2.11195
  29. ema50 : 3.44584
  30. ema100 : 4.73654
  31. price_ema9_diff : 0.0476268
  32. ema9_ema21_diff : -0.145915
  33. ema21_ema50_diff : -0.3871
  34. price_ema100_diff : -0.601038
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.445349
  38. ema_slope_21 : -2.11312
  39. ema_slope_50 : -1.92266
  40. ema_slope_100 : -1.21155
  41. rsi : 0.294684
  42. adx : 0.484636
  43. kc_percentage : 0.128516
  44. kc_width_percentage : 0.256015
  45. volume_ema_diff : -0.764896
  46. volume_ema1 : 350688.23558211
  47. volume_ema2 : 1491632.0709786
  48. chop : 98.1259
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.82068
  52. ema21 : 1.78467
  53. ema50 : 1.94601
  54. ema100 : 2.69119
  55. price_ema9_diff : 0.0379049
  56. ema9_ema21_diff : 0.0201765
  57. ema21_ema50_diff : -0.082908
  58. price_ema100_diff : -0.297821
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.475227
  62. ema_slope_21 : 0.206413
  63. ema_slope_50 : -0.38358
  64. ema_slope_100 : -0.694274
  65. rsi : 0.672379
  66. adx : 0.293724
  67. kc_percentage : 1.11473
  68. kc_width_percentage : 0.0895333
  69. volume_ema_diff : -0.248871
  70. volume_ema1 : 180593.55602398
  71. volume_ema2 : 240429.57917024
  72. chop : 36.6175
  73. regime : bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    115107
  77. 5m_price_ema100_diff: 
    0.00918006
  78. 5m_price: 
    116164
  79. 5m_correlation_with_coin: 
    0.065606
  80. btc_indicators
  81. 15m_ema100: 
    114227
  82. 15m_price_ema100_diff: 
    0.0169565
  83. 15m_price: 
    116164
  84. 15m_correlation_with_coin: 
    0.020705
  85. btc_indicators
  86. 1H_ema100: 
    112520
  87. 1H_price_ema100_diff: 
    0.03238
  88. 1H_price: 
    116164
  89. 1H_correlation_with_coin: 
    0.036345
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Oct 2025
06:32:30		 01 Oct 2025
06:35:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8897 1.9552 1.7586 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 1.8897
  • Stop Loss: 1.9552
  • Take Profit: 1.7586

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9552 - 1.8897 = 0.0655

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8897 - 1.7586 = 0.1311

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1311 / 0.0655 = 2.0015

📌 Position Size

Amount Margin Quantity Leverage
230.711 100 122.0887 2.31
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 0.0655

Taille de position = 8 / 0.0655 = 122.14

Taille de position USD = 122.14 x 1.8897 = 230.81

Donc, tu peux acheter 122.14 avec un stoploss a 1.9552

Avec un position size USD de 230.81$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 122.14 x 0.0655 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 122.14 x 0.1311 = 16.01

Si Take Profit atteint, tu gagneras 16.01$

Résumé

  • Taille de position 122.14
  • Taille de position USD 230.81
  • Perte potentielle 8
  • Gain potentiel 16.01
  • Risk-Reward Ratio 2.0015

📌 Peformances

TP % Target TP $ Target
6.94 % 16.01 $
SL % Target SL $ Target
3.47 % 8 $
PNL PNL %
-8 $ -3.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-7.4774 % 215.72 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.7586
            [entry_price] => 1.8897
            [stop_loss] => 1.96175
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-01 06:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.7586
            [entry_price] => 1.8897
            [stop_loss] => 1.9683
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-01 06:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.7586
            [entry_price] => 1.8897
            [stop_loss] => 1.97485
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-01 06:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.7586
            [entry_price] => 1.8897
            [stop_loss] => 1.98795
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-01 06:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.1355
            [max_drawdown] => 0.4047
            [rr_ratio] => 0.33
            [high] => 2.29440000
            [low] => 1.75420000
            [mfe_pct] => 7.17
            [mae_pct] => 21.42
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 24
            [start_at] => 2025-10-01T06:32:30-04:00
            [end_at] => 2025-10-01T08:32:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1355
            [max_drawdown] => 0.4047
            [rr_ratio] => 0.33
            [high] => 2.29440000
            [low] => 1.75420000
            [mfe_pct] => 7.17
            [mae_pct] => 21.42
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 84
            [start_at] => 2025-10-01T06:32:30-04:00
            [end_at] => 2025-10-01T13:32:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.93190000
            [high_after] => 2.29440000
            [low_before] => 1.67270000
            [low_after] => 1.75420000
            [is_new_high] => 
            [is_new_low] => 
        )

)