Short Trade on ALPINE 08 Oct 2025 at 13:29:07

Take profit at 1.416 (1.3 %) and Stop Loss at 1.4439 (0.65 %)

Short Trade on ALPINE

The 08 Oct 2025 at 13:29:07

With 861.2315 ALPINE at 1.4346$ per unit.

Position size of 1235.5227 $

Take profit at 1.416 (1.3 %) and Stop Loss at 1.4439 (0.65 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.11
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
1 0.55
Prediction 3 Probability
0 0.59
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.373627

15m : 0.098595

1H : -0.065641

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.006192682564
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 1.42481
  4. ema21 : 1.44564
  5. ema50 : 1.47638
  6. ema100 : 1.46719
  7. price_ema9_diff : 0.00686671
  8. ema9_ema21_diff : -0.0144079
  9. ema21_ema50_diff : -0.0208242
  10. price_ema100_diff : -0.0222185
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.268822
  14. ema_slope_21 : -0.281407
  15. ema_slope_50 : -0.182023
  16. ema_slope_100 : -0.0671243
  17. rsi : 0.433871
  18. adx : 0.176989
  19. kc_percentage : 0.41046
  20. kc_width_percentage : 0.0712066
  21. volume_ema_diff : -0.640858
  22. volume_ema1 : 143616.06053589
  23. volume_ema2 : 399886.89003883
  24. chop : 63.5176
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.41951
  29. ema21 : 1.41752
  30. ema50 : 1.42762
  31. ema100 : 1.4441
  32. price_ema9_diff : 0.0106248
  33. ema9_ema21_diff : 0.0014085
  34. ema21_ema50_diff : -0.00707675
  35. price_ema100_diff : -0.00658105
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0228803
  39. ema_slope_21 : -0.0184272
  40. ema_slope_50 : -0.047651
  41. ema_slope_100 : -0.0473722
  42. rsi : 0.588963
  43. adx : 0.276305
  44. kc_percentage : 0.887277
  45. kc_width_percentage : 0.0309923
  46. volume_ema_diff : -0.257345
  47. volume_ema1 : 32439.3497075
  48. volume_ema2 : 43680.271260739
  49. chop : 49.8924
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 1.42733
  54. ema21 : 1.4208
  55. ema50 : 1.41668
  56. ema100 : 1.41774
  57. price_ema9_diff : 0.00508798
  58. ema9_ema21_diff : 0.00460084
  59. ema21_ema50_diff : 0.00290319
  60. price_ema100_diff : 0.0118919
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0996901
  64. ema_slope_21 : 0.0682359
  65. ema_slope_50 : 0.0303163
  66. ema_slope_100 : 0.0109304
  67. rsi : 0.684173
  68. adx : 0.240079
  69. kc_percentage : 1.05053
  70. kc_width_percentage : 0.0170077
  71. volume_ema_diff : 0.327505
  72. volume_ema1 : 18507.826523062
  73. volume_ema2 : 13941.81235206
  74. chop : 41.924
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    122650
  80. 5m_price_ema100_diff:
    0.00911314
  81. 5m_price:
    123768
  82. 5m_correlation_with_coin:
    0.373627
  83. btc_indicators
  84. 15m_ema100:
    122156
  85. 15m_price_ema100_diff:
    0.0127063
  86. 15m_price:
    123708
  87. 15m_correlation_with_coin:
    0.098595
  88. btc_indicators
  89. 1H_ema100:
    122898
  90. 1H_price_ema100_diff:
    0.00707798
  91. 1H_price:
    123768
  92. 1H_correlation_with_coin:
    -0.065641
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Oct 2025
13:29:07
08 Oct 2025
14:10:00
40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.4346 1.4439 1.416 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 1.4346
  • Stop Loss: 1.4439
  • Take Profit: 1.416

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.4439 - 1.4346 = 0.0092999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.4346 - 1.416 = 0.0186

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0186 / 0.0092999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1235.5227 100 861.2315 12.36
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 0.0092999999999999

Taille de position = 8 / 0.0092999999999999 = 860.22

Taille de position USD = 860.22 x 1.4346 = 1234.07

Donc, tu peux acheter 860.22 avec un stoploss a 1.4439

Avec un position size USD de 1234.07$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 860.22 x 0.0092999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 860.22 x 0.0186 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 860.22
  • Taille de position USD 1234.07
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.3 % 16.02 $
SL % Target SL $ Target
0.65 % 8.01 $
PNL PNL %
-8.01 $ -0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8016 % 123.65 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.416
            [entry_price] => 1.4346
            [stop_loss] => 1.44483
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 14:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.416
            [entry_price] => 1.4346
            [stop_loss] => 1.44576
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 14:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.416
            [entry_price] => 1.4346
            [stop_loss] => 1.44669
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 14:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.416
            [entry_price] => 1.4346
            [stop_loss] => 1.44855
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 14:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0051000000000001
            [max_drawdown] => 0.062
            [rr_ratio] => 0.08
            [high] => 1.49660000
            [low] => 1.42950000
            [mfe_pct] => 0.36
            [mae_pct] => 4.32
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T13:29:07-04:00
            [end_at] => 2025-10-08T15:29:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0051000000000001
            [max_drawdown] => 0.062
            [rr_ratio] => 0.08
            [high] => 1.49660000
            [low] => 1.42950000
            [mfe_pct] => 0.36
            [mae_pct] => 4.32
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T13:29:07-04:00
            [end_at] => 2025-10-08T20:29:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.43740000
            [high_after] => 1.49660000
            [low_before] => 1.38920000
            [low_after] => 1.42950000
            [is_new_high] => 
            [is_new_low] => 
        )

)