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Long Trade on ALPINE

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Long Trade on ALPINE 11 Aug 2025 at 17:47:03

Take profit at 1.4544 (2.19 %) and Stop Loss at 1.4026 (1.45 %)

Long Trade on ALPINE

The 11 Aug 2025 at 17:47:03

With 385.5575 ALPINE at 1.4233$ per unit.

Position size of 548.764 $

Take profit at 1.4544 (2.19 %) and Stop Loss at 1.4026 (1.45 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 130
ML Pullback Score: 8
Prediction Score: -0.3192
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.79
Prediction 3 Probability
1 0.54
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.110138

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.01383278241
Details
  1. score: 2.02
  2. 1H
  3. ema9 : 1.43018
  4. ema21 : 1.41546
  5. ema50 : 1.3846
  6. ema100 : 1.30225
  7. price_ema9_diff : -0.00481348
  8. ema9_ema21_diff : 0.0103968
  9. ema21_ema50_diff : 0.0222882
  10. price_ema100_diff : 0.0929541
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.513757
  14. adx : 0.29752
  15. kc_percentage : 0.530165
  16. kc_width_percentage : 0.165906
  17. volume_ema_diff : -0.262979
  18. volume_ema1 : 485161.27922423
  19. volume_ema2 : 658274.04154892
    20. ¸
  20. 15m
  21. ema9 : 1.44744
  22. ema21 : 1.44136
  23. ema50 : 1.42272
  24. ema100 : 1.41206
  25. price_ema9_diff : -0.0166808
  26. ema9_ema21_diff : 0.0042178
  27. ema21_ema50_diff : 0.0131013
  28. price_ema100_diff : 0.00795941
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.463029
  32. adx : 0.322299
  33. kc_percentage : 0.310713
  34. kc_width_percentage : 0.0700508
  35. volume_ema_diff : -0.260271
  36. volume_ema1 : 98608.64311252
  37. volume_ema2 : 133303.90034069
    38. ¸
  38. 5m
  39. ema9 : 1.44392
  40. ema21 : 1.45201
  41. ema50 : 1.44777
  42. ema100 : 1.43363
  43. price_ema9_diff : -0.0142862
  44. ema9_ema21_diff : -0.00556965
  45. ema21_ema50_diff : 0.00293138
  46. price_ema100_diff : -0.00721203
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.361484
  50. adx : 0.281555
  51. kc_percentage : -0.0207186
  52. kc_width_percentage : 0.0385256
  53. volume_ema_diff : 0.0128141
  54. volume_ema1 : 41233.287010396
  55. volume_ema2 : 40711.604236939
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    119405
  59. 5m_price_ema100_diff: 
    -0.00684463
  60. 5m_price: 
    118588
  61. 5m_correlation_with_coin: 
    0.110138
  62. btc_indicators
  63. 15m_ema100: 
    119820
  64. 15m_price_ema100_diff: 
    -0.0102847
  65. 15m_price: 
    118588
  66. btc_indicators
  67. 1H_ema100: 
    118394
  68. 1H_price_ema100_diff: 
    0.00163346
  69. 1H_price: 
    118588
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Aug 2025
17:47:03		 11 Aug 2025
18:10:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.4233 1.4026 1.4544 1.5 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 1.4233
  • Stop Loss: 1.4026
  • Take Profit: 1.4544

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.4026 - 1.4233 = -0.0207

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.4233 - 1.4544 = -0.0311

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0311 / -0.0207 = 1.5024

📌 Position Size

Amount Margin Quantity Leverage
548.764 100 385.5575 5.49
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 -0.0207

Taille de position = 8 / -0.0207 = -386.47

Taille de position USD = -386.47 x 1.4233 = -550.06

Donc, tu peux acheter -386.47 avec un stoploss a 1.4026

Avec un position size USD de -550.06$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -386.47 x -0.0207 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -386.47 x -0.0311 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position -386.47
  • Taille de position USD -550.06
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5024

📌 Peformances

TP % Target TP $ Target
2.19 % 11.99 $
SL % Target SL $ Target
1.45 % 7.98 $
PNL PNL %
11.99 $ 2.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.4647
            [stop_loss] => 1.4026
            [rr_ratio] => 2
            [closed_at] => 2025-08-11 18:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.47505
            [stop_loss] => 1.4026
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-11 18:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.4854
            [stop_loss] => 1.4026
            [rr_ratio] => 3
            [closed_at] => 2025-08-11 18:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.49575
            [stop_loss] => 1.4026
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-11 18:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.5061
            [stop_loss] => 1.4026
            [rr_ratio] => 4
            [closed_at] => 2025-08-11 22:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.51645
            [stop_loss] => 1.4026
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-11 22:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.5268
            [stop_loss] => 1.4026
            [rr_ratio] => 5
            [closed_at] => 2025-08-11 22:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.53715
            [stop_loss] => 1.4026
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-11 22:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.5475
            [stop_loss] => 1.4026
            [rr_ratio] => 6
            [closed_at] => 2025-08-11 22:55:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.55785
            [stop_loss] => 1.4026
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-11 23:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0745
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.49780000
            [low] => 1.42430000
            [mfe_pct] => 5.23
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-11T17:47:03-04:00
            [end_at] => 2025-08-11T19:47:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1437
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.56700000
            [low] => 1.42430000
            [mfe_pct] => 10.1
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-11T17:47:03-04:00
            [end_at] => 2025-08-12T00:47:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.49420000
            [high_after] => 1.56700000
            [low_before] => 1.41140000
            [low_after] => 1.42430000
            [is_new_high] => 1
            [is_new_low] => 
        )

)