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Short Trade on ALPINE

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Short Trade on ALPINE 01 Oct 2025 at 06:39:16

Take profit at 1.8252 (7.47 %) and Stop Loss at 2.0462 (3.74 %)

Short Trade on ALPINE

The 01 Oct 2025 at 06:39:16

With 108.607 ALPINE at 1.9725$ per unit.

Position size of 214.2273 $

Take profit at 1.8252 (7.47 %) and Stop Loss at 2.0462 (3.74 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.95
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
1 0.4
Prediction 3 Probability
1 0.69
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 : 0.064493

15m : 0.158387

1H : 0.09941

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.35
  4. atr: 0.04910671108
Details
  1. score: 1.35
  2. 1H
  3. ema9 : 2.661
  4. ema21 : 4.18763
  5. ema50 : 5.32931
  6. ema100 : 5.70363
  7. price_ema9_diff : -0.258739
  8. ema9_ema21_diff : -0.364554
  9. ema21_ema50_diff : -0.214226
  10. price_ema100_diff : -0.654168
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -5.27162
  14. ema_slope_21 : -3.39778
  15. ema_slope_50 : -1.68071
  16. ema_slope_100 : -0.866203
  17. rsi : 0.227279
  18. adx : 0.333006
  19. kc_percentage : -0.18148
  20. kc_width_percentage : 1.5833
  21. volume_ema_diff : -0.555314
  22. volume_ema1 : 2983931.4300252
  23. volume_ema2 : 6710202.5340539
  24. chop : 30.033
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.79941
  28. ema21 : 2.10996
  29. ema50 : 3.44498
  30. ema100 : 4.73611
  31. price_ema9_diff : 0.0961919
  32. ema9_ema21_diff : -0.147185
  33. ema21_ema50_diff : -0.387525
  34. price_ema100_diff : -0.583519
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.464502
  38. ema_slope_21 : -2.11898
  39. ema_slope_50 : -1.92425
  40. ema_slope_100 : -1.2122
  41. rsi : 0.282805
  42. adx : 0.484636
  43. kc_percentage : 0.305742
  44. kc_width_percentage : 0.247499
  45. volume_ema_diff : -0.731638
  46. volume_ema1 : 401913.14684877
  47. volume_ema2 : 1497658.5311277
  48. chop : 98.1355
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.84754
  52. ema21 : 1.79994
  53. ema50 : 1.94641
  54. ema100 : 2.67789
  55. price_ema9_diff : 0.0676326
  56. ema9_ema21_diff : 0.0264462
  57. ema21_ema50_diff : -0.0752519
  58. price_ema100_diff : -0.263413
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.622286
  62. ema_slope_21 : 0.295456
  63. ema_slope_50 : -0.331757
  64. ema_slope_100 : -0.672983
  65. rsi : 0.744454
  66. adx : 0.310058
  67. kc_percentage : 1.35454
  68. kc_width_percentage : 0.101389
  69. volume_ema_diff : -0.0163942
  70. volume_ema1 : 243550.51419376
  71. volume_ema2 : 247609.89819054
  72. chop : 26.7296
  73. regime : bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    115131
  77. 5m_price_ema100_diff: 
    0.00929819
  78. 5m_price: 
    116201
  79. 5m_correlation_with_coin: 
    0.064493
  80. btc_indicators
  81. 15m_ema100: 
    114228
  82. 15m_price_ema100_diff: 
    0.0175561
  83. 15m_price: 
    116234
  84. 15m_correlation_with_coin: 
    0.158387
  85. btc_indicators
  86. 1H_ema100: 
    112521
  87. 1H_price_ema100_diff: 
    0.0327081
  88. 1H_price: 
    116201
  89. 1H_correlation_with_coin: 
    0.09941
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Oct 2025
06:39:16		 01 Oct 2025
06:40:00		 44 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.9725 2.0462 1.8252 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 1.9725
  • Stop Loss: 2.0462
  • Take Profit: 1.8252

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.0462 - 1.9725 = 0.0737

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.9725 - 1.8252 = 0.1473

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1473 / 0.0737 = 1.9986

📌 Position Size

Amount Margin Quantity Leverage
214.2273 100 108.607 2.14
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 0.0737

Taille de position = 8 / 0.0737 = 108.55

Taille de position USD = 108.55 x 1.9725 = 214.11

Donc, tu peux acheter 108.55 avec un stoploss a 2.0462

Avec un position size USD de 214.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 108.55 x 0.0737 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 108.55 x 0.1473 = 15.99

Si Take Profit atteint, tu gagneras 15.99$

Résumé

  • Taille de position 108.55
  • Taille de position USD 214.11
  • Perte potentielle 8
  • Gain potentiel 15.99
  • Risk-Reward Ratio 1.9986

📌 Peformances

TP % Target TP $ Target
7.47 % 16 $
SL % Target SL $ Target
3.74 % 8 $
PNL PNL %
-8 $ -3.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.4309 % 118.59 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.8252
            [entry_price] => 1.9725
            [stop_loss] => 2.05357
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-01 06:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.8252
            [entry_price] => 1.9725
            [stop_loss] => 2.06094
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-01 06:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.8252
            [entry_price] => 1.9725
            [stop_loss] => 2.06831
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-01 06:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.8252
            [entry_price] => 1.9725
            [stop_loss] => 2.08305
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-01 06:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.2183
            [max_drawdown] => 0.3219
            [rr_ratio] => 0.68
            [high] => 2.29440000
            [low] => 1.75420000
            [mfe_pct] => 11.07
            [mae_pct] => 16.32
            [mfe_mae_ratio] => 0.68
            [candles_analyzed] => 24
            [start_at] => 2025-10-01T06:39:16-04:00
            [end_at] => 2025-10-01T08:39:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.2183
            [max_drawdown] => 0.3219
            [rr_ratio] => 0.68
            [high] => 2.29440000
            [low] => 1.75420000
            [mfe_pct] => 11.07
            [mae_pct] => 16.32
            [mfe_mae_ratio] => 0.68
            [candles_analyzed] => 84
            [start_at] => 2025-10-01T06:39:16-04:00
            [end_at] => 2025-10-01T13:39:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.03100000
            [high_after] => 2.29440000
            [low_before] => 1.67270000
            [low_after] => 1.75420000
            [is_new_high] => 
            [is_new_low] => 
        )

)