Web3Way Logo

Long Trade on ALPINE

Previous Trade Next Trade

Long Trade on ALPINE 31 Aug 2025 at 22:24:35

Take profit at 1.8568 (0.96 %) and Stop Loss at 1.8273 (0.64 %)

Long Trade on ALPINE

The 31 Aug 2025 at 22:24:35

With 676.4978 ALPINE at 1.8391$ per unit.

Position size of 1244.1471 $

Take profit at 1.8568 (0.96 %) and Stop Loss at 1.8273 (0.64 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 70
ML Pullback Score: 4.9
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.65
Prediction 2 Probability
1 0.52
Prediction 3 Probability
1 0.86
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : bear_low
BTC Correlation Score

5m : 0.082594

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.007883740839
Details
  1. score: 2.01
  2. 1H
  3. ema9 : 1.85618
  4. ema21 : 1.83829
  5. ema50 : 1.82852
  6. ema100 : 1.83374
  7. price_ema9_diff : -0.00920388
  8. ema9_ema21_diff : 0.00973162
  9. ema21_ema50_diff : 0.00534499
  10. price_ema100_diff : 0.00292183
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.516964
  14. adx : 0.39984
  15. kc_percentage : 0.497449
  16. kc_width_percentage : 0.065445
  17. volume_ema_diff : -0.330886
  18. volume_ema1 : 109864.34718243
  19. volume_ema2 : 164193.93823739
    20. ¸
  20. 15m
  21. ema9 : 1.85725
  22. ema21 : 1.8636
  23. ema50 : 1.85056
  24. ema100 : 1.82595
  25. price_ema9_diff : -0.00977416
  26. ema9_ema21_diff : -0.00340769
  27. ema21_ema50_diff : 0.00704395
  28. price_ema100_diff : 0.00719771
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.415284
  32. adx : 0.22569
  33. kc_percentage : 0.0644348
  34. kc_width_percentage : 0.030507
  35. volume_ema_diff : -0.752459
  36. volume_ema1 : 12831.901871141
  37. volume_ema2 : 51837.680980684
    38. ¸
  38. 5m
  39. ema9 : 1.84937
  40. ema21 : 1.85463
  41. ema50 : 1.86348
  42. ema100 : 1.86942
  43. price_ema9_diff : -0.005556
  44. ema9_ema21_diff : -0.00283806
  45. ema21_ema50_diff : -0.00474637
  46. price_ema100_diff : -0.0162215
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.347906
  50. adx : 0.200955
  51. kc_percentage : -0.0131855
  52. kc_width_percentage : 0.0160264
  53. volume_ema_diff : -0.60176
  54. volume_ema1 : 3953.4272363213
  55. volume_ema2 : 9927.2657194312
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108475
  59. 5m_price_ema100_diff: 
    -0.00640644
  60. 5m_price: 
    107780
  61. 5m_correlation_with_coin: 
    0.082594
  62. btc_indicators
  63. 15m_ema100: 
    108687
  64. 15m_price_ema100_diff: 
    -0.00770195
  65. 15m_price: 
    107850
  66. btc_indicators
  67. 1H_ema100: 
    109416
  68. 1H_price_ema100_diff: 
    -0.0149544
  69. 1H_price: 
    107780
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
31 Aug 2025
22:24:35		 31 Aug 2025
22:35:00		 10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8391 1.8273 1.8568 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 1.8391
  • Stop Loss: 1.8273
  • Take Profit: 1.8568

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8273 - 1.8391 = -0.0118

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8391 - 1.8568 = -0.0177

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0177 / -0.0118 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1244.1471 100 676.4978 12.44
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 -0.0118

Taille de position = 8 / -0.0118 = -677.97

Taille de position USD = -677.97 x 1.8391 = -1246.85

Donc, tu peux acheter -677.97 avec un stoploss a 1.8273

Avec un position size USD de -1246.85$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -677.97 x -0.0118 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -677.97 x -0.0177 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -677.97
  • Taille de position USD -1246.85
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.96 % 11.97 $
SL % Target SL $ Target
0.64 % 7.98 $
PNL PNL %
11.97 $ 0.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.8627
            [stop_loss] => 1.8273
            [rr_ratio] => 2
            [closed_at] => 2025-08-31 23:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.8686
            [stop_loss] => 1.8273
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-31 23:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.8745
            [stop_loss] => 1.8273
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 00:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.8804
            [stop_loss] => 1.8273
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 00:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.8863
            [stop_loss] => 1.8273
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 02:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.8922
            [stop_loss] => 1.8273
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 02:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.8981
            [stop_loss] => 1.8273
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 02:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.904
            [stop_loss] => 1.8273
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 02:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.9099
            [stop_loss] => 1.8273
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 02:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.9158
            [stop_loss] => 1.8273
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 02:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.9217
            [stop_loss] => 1.8273
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 02:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0419
            [max_drawdown] => 0.00099999999999989
            [rr_ratio] => 41.9
            [high] => 1.88100000
            [low] => 1.83810000
            [mfe_pct] => 2.28
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 41.9
            [candles_analyzed] => 24
            [start_at] => 2025-08-31T22:24:35-04:00
            [end_at] => 2025-09-01T00:24:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0419
            [max_drawdown] => 0.0279
            [rr_ratio] => 1.5
            [high] => 1.88100000
            [low] => 1.81120000
            [mfe_pct] => 2.28
            [mae_pct] => 1.52
            [mfe_mae_ratio] => 1.5
            [candles_analyzed] => 84
            [start_at] => 2025-08-31T22:24:35-04:00
            [end_at] => 2025-09-01T05:24:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.89910000
            [high_after] => 1.88100000
            [low_before] => 1.83850000
            [low_after] => 1.81120000
            [is_new_high] => 
            [is_new_low] => 
        )

)