Short Trade on PORTALS 29 Sep 2025 at 16:51:41

Take profit at 0.05768 (1.97 %) and Stop Loss at 0.05942 (0.99 %)

Short Trade on PORTALS

The 29 Sep 2025 at 16:51:41

With 13746.7345 PORTALS at 0.05884$ per unit.

Position size of 808.8579 $

Take profit at 0.05768 (1.97 %) and Stop Loss at 0.05942 (0.99 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 1.47
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.65
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_high

BTC Correlation Score

5m : -0.017274

15m : -0.005322

1H : 0.041675

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0003879709285
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.0604627
  4. ema21 : 0.0636171
  5. ema50 : 0.0679371
  6. ema100 : 0.0734077
  7. price_ema9_diff : -0.0268389
  8. ema9_ema21_diff : -0.0495845
  9. ema21_ema50_diff : -0.0635879
  10. price_ema100_diff : -0.19845
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -1.08995
  14. ema_slope_21 : -0.691373
  15. ema_slope_50 : -0.458624
  16. ema_slope_100 : -0.344526
  17. rsi : 0.367988
  18. adx : 0.26407
  19. kc_percentage : 0.106209
  20. kc_width_percentage : 0.197814
  21. volume_ema_diff : -0.544364
  22. volume_ema1 : 146945.0710655
  23. volume_ema2 : 322505.89490284
  24. chop : 36.786
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0581896
  29. ema21 : 0.0589627
  30. ema50 : 0.061671
  31. ema100 : 0.0640126
  32. price_ema9_diff : 0.0111765
  33. ema9_ema21_diff : -0.0131116
  34. ema21_ema50_diff : -0.043915
  35. price_ema100_diff : -0.0808065
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.153643
  39. ema_slope_21 : -0.337749
  40. ema_slope_50 : -0.322416
  41. ema_slope_100 : -0.220953
  42. rsi : 0.452157
  43. adx : 0.36812
  44. kc_percentage : 0.494241
  45. kc_width_percentage : 0.0679362
  46. volume_ema_diff : -0.740448
  47. volume_ema1 : 14944.98199826
  48. volume_ema2 : 57580.060785955
  49. chop : 69.4329
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.058463
  54. ema21 : 0.0580843
  55. ema50 : 0.0585015
  56. ema100 : 0.0602581
  57. price_ema9_diff : 0.00644767
  58. ema9_ema21_diff : 0.00652048
  59. ema21_ema50_diff : -0.00713147
  60. price_ema100_diff : -0.0235353
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.159552
  64. ema_slope_21 : 0.109707
  65. ema_slope_50 : -0.00973562
  66. ema_slope_100 : -0.0700828
  67. rsi : 0.639705
  68. adx : 0.163912
  69. kc_percentage : 1.05763
  70. kc_width_percentage : 0.0225257
  71. volume_ema_diff : -0.704889
  72. volume_ema1 : 3402.5781286897
  73. volume_ema2 : 11529.833800006
  74. chop : 60.6711
  75. regime : range_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113640
  80. 5m_price_ema100_diff:
    0.00558154
  81. 5m_price:
    114275
  82. 5m_correlation_with_coin:
    -0.017274
  83. btc_indicators
  84. 15m_ema100:
    112580
  85. 15m_price_ema100_diff:
    0.0150509
  86. 15m_price:
    114275
  87. 15m_correlation_with_coin:
    -0.005322
  88. btc_indicators
  89. 1H_ema100:
    110602
  90. 1H_price_ema100_diff:
    0.0332102
  91. 1H_price:
    114275
  92. 1H_correlation_with_coin:
    0.041675
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
16:51:41
29 Sep 2025
16:55:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05884 0.05942 0.05768 2 0.01975
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 0.05884
  • Stop Loss: 0.05942
  • Take Profit: 0.05768

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05942 - 0.05884 = 0.00058

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05884 - 0.05768 = 0.00116

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00116 / 0.00058 = 2

📌 Position Size

Amount Margin Quantity Leverage
808.8579 100 13746.7345 8.09
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 0.00058

Taille de position = 8 / 0.00058 = 13793.1

Taille de position USD = 13793.1 x 0.05884 = 811.59

Donc, tu peux acheter 13793.1 avec un stoploss a 0.05942

Avec un position size USD de 811.59$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13793.1 x 0.00058 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13793.1 x 0.00116 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 13793.1
  • Taille de position USD 811.59
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.97 % 15.95 $
SL % Target SL $ Target
0.99 % 7.97 $
PNL PNL %
-7.97 $ -0.99
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0537 % 106.9 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05768
            [entry_price] => 0.05884
            [stop_loss] => 0.059478
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 16:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05768
            [entry_price] => 0.05884
            [stop_loss] => 0.059536
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 17:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05768
            [entry_price] => 0.05884
            [stop_loss] => 0.059594
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 17:40:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.05768
            [entry_price] => 0.05884
            [stop_loss] => 0.05971
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 17:40:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00118
            [max_drawdown] => 0.0007
            [rr_ratio] => 1.69
            [high] => 0.05954000
            [low] => 0.05766000
            [mfe_pct] => 2.01
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 1.69
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T16:51:41-04:00
            [end_at] => 2025-09-29T18:51:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00118
            [max_drawdown] => 0.00616
            [rr_ratio] => 0.19
            [high] => 0.06500000
            [low] => 0.05766000
            [mfe_pct] => 2.01
            [mae_pct] => 10.47
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T16:51:41-04:00
            [end_at] => 2025-09-29T23:51:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05989000
            [high_after] => 0.06500000
            [low_before] => 0.05511000
            [low_after] => 0.05766000
            [is_new_high] => 
            [is_new_low] => 
        )

)