Web3Way Logo

Short Trade on ALPHA

Short Trade on ALPHA

The 22 Sep 2025 at 11:38:50

With 24529.4198 ALPHA at 0.01611$ per unit.

Position size of 395.169 $

Take profit at 0.01546 (4.03 %) and Stop Loss at 0.01644 (2.05 %)

That's a 1.97 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.03
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
1 0.75
Prediction 3 Probability
0 0.73
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.185659

15m : 0.010608

1H : -0.128124

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0002174259877
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 0.0154078
  4. ema21 - 0.0161407
  5. ema50 - 0.017463
  6. ema100 - 0.0186022
  7. price_ema9_diff - 0.0455706
  8. ema9_ema21_diff - -0.0454079
  9. ema21_ema50_diff - -0.0757184
  10. price_ema100_diff - -0.133973
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -1.03075
  14. ema_slope_21 - -0.921164
  15. ema_slope_50 - -0.61276
  16. ema_slope_100 - -0.391354
  17. rsi - 0.449176
  18. adx - 0.561265
  19. kc_percentage - 0.513247
  20. kc_width_percentage - 0.150358
  21. volume_ema_diff - 1.00903
  22. volume_ema1 - 606617.99025807
  23. volume_ema2 - 301945.40524045
  24. chop - 27.5921
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0155323
  28. ema21 - 0.0152401
  29. ema50 - 0.0155478
  30. ema100 - 0.016308
  31. price_ema9_diff - 0.0371883
  32. ema9_ema21_diff - 0.0191728
  33. ema21_ema50_diff - -0.0197899
  34. price_ema100_diff - -0.0121466
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.549634
  38. ema_slope_21 - 0.241017
  39. ema_slope_50 - -0.0603843
  40. ema_slope_100 - -0.132614
  41. rsi - 0.728519
  42. adx - 0.412715
  43. kc_percentage - 1.15053
  44. kc_width_percentage - 0.0823138
  45. volume_ema_diff - 0.471192
  46. volume_ema1 - 174655.21203369
  47. volume_ema2 - 118716.77353421
  48. chop - 28.2465
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0158337
  52. ema21 - 0.0155604
  53. ema50 - 0.015215
  54. ema100 - 0.0150421
  55. price_ema9_diff - 0.0174442
  56. ema9_ema21_diff - 0.0175681
  57. ema21_ema50_diff - 0.0227026
  58. price_ema100_diff - 0.0709923
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.31983
  62. ema_slope_21 - 0.27442
  63. ema_slope_50 - 0.185228
  64. ema_slope_100 - 0.105774
  65. rsi - 0.748892
  66. adx - 0.541529
  67. kc_percentage - 1.07621
  68. kc_width_percentage - 0.0571719
  69. volume_ema_diff - 0.21227
  70. volume_ema1 - 70791.735007244
  71. volume_ema2 - 58396.002369811
  72. chop - 33.3963
  73. regime - bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 112714
  77. 5m_price_ema100_diff: -0.00123589
  78. 5m_price: 112575
  79. 5m_correlation_with_coin: 0.185659
  80. btc_indicators
  81. 15m_ema100: 113771
  82. 15m_price_ema100_diff: -0.0107269
  83. 15m_price: 112551
  84. 15m_correlation_with_coin: 0.010608
  85. btc_indicators
  86. 1H_ema100: 115258
  87. 1H_price_ema100_diff: -0.0232793
  88. 1H_price: 112575
  89. 1H_correlation_with_coin: -0.128124
    90. ¸

📌 Time Data

Start at Closed at Duration
22 Sep 2025
11:38:50		 22 Sep 2025
11:40:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01611 0.01644 0.01546 1.97 0.01155
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 0.01611
  • Stop Loss: 0.01644
  • Take Profit: 0.01546

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01644 - 0.01611 = 0.00033

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01611 - 0.01546 = 0.00065

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00065 / 0.00033 = 1.9697

📌 Position Size

Amount Margin Quantity Leverage
395.169 100 24529.4198 3.95
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 0.00033

Taille de position = 8 / 0.00033 = 24242.42

Taille de position USD = 24242.42 x 0.01611 = 390.55

Donc, tu peux acheter 24242.42 avec un stoploss a 0.01644

Avec un position size USD de 390.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 24242.42 x 0.00033 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 24242.42 x 0.00065 = 15.76

Si Take Profit atteint, tu gagneras 15.76$

Résumé

  • Taille de position 24242.42
  • Taille de position USD 390.55
  • Perte potentielle 8
  • Gain potentiel 15.76
  • Risk-Reward Ratio 1.9697

📌 Peformances

TP % Target TP $ Target
4.03 % 15.94 $
SL % Target SL $ Target
2.05 % 8.09 $
PNL PNL %
-8.09 $ -2.05
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.2831 % 209.09 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01546
            [entry_price] => 0.01611
            [stop_loss] => 0.016473
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 11:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01546
            [entry_price] => 0.01611
            [stop_loss] => 0.016506
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 11:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01546
            [entry_price] => 0.01611
            [stop_loss] => 0.016539
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 11:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01546
            [entry_price] => 0.01611
            [stop_loss] => 0.016605
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 11:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -6.0000000000001E-5
            [max_drawdown] => 0.00621
            [rr_ratio] => -0.01
            [high] => 0.02232000
            [low] => 0.01617000
            [mfe_pct] => -0.37
            [mae_pct] => 38.55
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T11:38:50-04:00
            [end_at] => 2025-09-22T13:38:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00211
            [max_drawdown] => 0.02844
            [rr_ratio] => 0.07
            [high] => 0.04455000
            [low] => 0.01400000
            [mfe_pct] => 13.1
            [mae_pct] => 176.54
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T11:38:50-04:00
            [end_at] => 2025-09-22T18:38:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01660000
            [high_after] => 0.04455000
            [low_before] => 0.01434000
            [low_after] => 0.01400000
            [is_new_high] => 
            [is_new_low] => 1
        )

)