Short Trade on ALPINE 03 Oct 2025 at 10:07:45

Take profit at 1.3818 (3.09 %) and Stop Loss at 1.4479 (1.54 %)

Short Trade on ALPINE

The 03 Oct 2025 at 10:07:45

With 362.9068 ALPINE at 1.4259$ per unit.

Position size of 517.4688 $

Take profit at 1.3818 (3.09 %) and Stop Loss at 1.4479 (1.54 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.59
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.96
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.51
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high_confirmed

BTC Correlation Score

5m : 0.133956

15m : 0.003081

1H : 0.013378

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.01469615169
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 1.42349
  4. ema21 : 1.48429
  5. ema50 : 2.0226
  6. ema100 : 3.09179
  7. price_ema9_diff : 0.0016913
  8. ema9_ema21_diff : -0.0409628
  9. ema21_ema50_diff : -0.266146
  10. price_ema100_diff : -0.538811
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.357656
  14. ema_slope_21 : -0.633181
  15. ema_slope_50 : -1.27135
  16. ema_slope_100 : -1.05853
  17. rsi : 0.333315
  18. adx : 0.204047
  19. kc_percentage : 0.283214
  20. kc_width_percentage : 0.161817
  21. volume_ema_diff : -0.618148
  22. volume_ema1 : 620680.2523512
  23. volume_ema2 : 1625447.4465682
  24. chop : 70.4782
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.39516
  29. ema21 : 1.40478
  30. ema50 : 1.42978
  31. ema100 : 1.45148
  32. price_ema9_diff : 0.0220261
  33. ema9_ema21_diff : -0.00684195
  34. ema21_ema50_diff : -0.0174881
  35. price_ema100_diff : -0.0176235
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.140202
  39. ema_slope_21 : -0.200735
  40. ema_slope_50 : -0.151959
  41. ema_slope_100 : -0.100657
  42. rsi : 0.549103
  43. adx : 0.396084
  44. kc_percentage : 0.711451
  45. kc_width_percentage : 0.0736463
  46. volume_ema_diff : 0.230091
  47. volume_ema1 : 250050.21084616
  48. volume_ema2 : 203277.71647253
  49. chop : 51.7083
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 1.3993
  54. ema21 : 1.38995
  55. ema50 : 1.39726
  56. ema100 : 1.41505
  57. price_ema9_diff : 0.0190068
  58. ema9_ema21_diff : 0.00672571
  59. ema21_ema50_diff : -0.00523431
  60. price_ema100_diff : 0.00766271
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.104613
  64. ema_slope_21 : 0.0251327
  65. ema_slope_50 : -0.0340366
  66. ema_slope_100 : -0.045264
  67. rsi : 0.706813
  68. adx : 0.296395
  69. kc_percentage : 1.08537
  70. kc_width_percentage : 0.0428172
  71. volume_ema_diff : 0.908315
  72. volume_ema1 : 132861.72023425
  73. volume_ema2 : 69622.518471432
  74. chop : 25.4729
  75. regime : bull_high_confirmed
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    120153
  80. 5m_price_ema100_diff:
    0.00103252
  81. 5m_price:
    120277
  82. 5m_correlation_with_coin:
    0.133956
  83. btc_indicators
  84. 15m_ema100:
    119986
  85. 15m_price_ema100_diff:
    0.00242919
  86. 15m_price:
    120277
  87. 15m_correlation_with_coin:
    0.003081
  88. btc_indicators
  89. 1H_ema100:
    117200
  90. 1H_price_ema100_diff:
    0.0262577
  91. 1H_price:
    120277
  92. 1H_correlation_with_coin:
    0.013378
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
03 Oct 2025
10:07:45
03 Oct 2025
10:10:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.4259 1.4479 1.3818 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 1.4259
  • Stop Loss: 1.4479
  • Take Profit: 1.3818

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.4479 - 1.4259 = 0.022

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.4259 - 1.3818 = 0.0441

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0441 / 0.022 = 2.0045

📌 Position Size

Amount Margin Quantity Leverage
517.4688 100 362.9068 5.17
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 0.022

Taille de position = 8 / 0.022 = 363.64

Taille de position USD = 363.64 x 1.4259 = 518.51

Donc, tu peux acheter 363.64 avec un stoploss a 1.4479

Avec un position size USD de 518.51$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 363.64 x 0.022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 363.64 x 0.0441 = 16.04

Si Take Profit atteint, tu gagneras 16.04$

Résumé

  • Taille de position 363.64
  • Taille de position USD 518.51
  • Perte potentielle 8
  • Gain potentiel 16.04
  • Risk-Reward Ratio 2.0045

📌 Peformances

TP % Target TP $ Target
3.09 % 16 $
SL % Target SL $ Target
1.54 % 7.98 $
PNL PNL %
-7.98 $ -1.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.2302 % 144.55 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.3818
            [entry_price] => 1.4259
            [stop_loss] => 1.4501
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-03 10:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.3818
            [entry_price] => 1.4259
            [stop_loss] => 1.4523
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-03 10:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.3818
            [entry_price] => 1.4259
            [stop_loss] => 1.4545
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-03 10:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.3818
            [entry_price] => 1.4259
            [stop_loss] => 1.4589
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-03 14:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0151
            [max_drawdown] => 0.0318
            [rr_ratio] => 0.47
            [high] => 1.45770000
            [low] => 1.41080000
            [mfe_pct] => 1.06
            [mae_pct] => 2.23
            [mfe_mae_ratio] => 0.47
            [candles_analyzed] => 24
            [start_at] => 2025-10-03T10:07:45-04:00
            [end_at] => 2025-10-03T12:07:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0269
            [max_drawdown] => 0.0737
            [rr_ratio] => 0.36
            [high] => 1.49960000
            [low] => 1.39900000
            [mfe_pct] => 1.89
            [mae_pct] => 5.17
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 84
            [start_at] => 2025-10-03T10:07:45-04:00
            [end_at] => 2025-10-03T17:07:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.46510000
            [high_after] => 1.49960000
            [low_before] => 1.33770000
            [low_after] => 1.41080000
            [is_new_high] => 
            [is_new_low] => 
        )

)