Short Trade on AI16Z 27 Sep 2025 at 18:02:19

Take profit at 0.08689 (0.58 %) and Stop Loss at 0.08765 (0.29 %)

Short Trade on AI16Z

The 27 Sep 2025 at 18:02:19

With 31500.963 AI16Z at 0.0874$ per unit.

Position size of 2753.1842 $

Take profit at 0.08689 (0.58 %) and Stop Loss at 0.08765 (0.29 %)

That's a 2.04 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.82
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.54
Prediction 3 Probability
1 0.54
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.617749

15m : 0.159368

1H : -0.013326

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.45
  4. atr: 0.0001693069934
Details
  1. score: 1.45
  2. 1H
  3. ema9 : 0.087222
  4. ema21 : 0.0874284
  5. ema50 : 0.0875865
  6. ema100 : 0.088653
  7. price_ema9_diff : 0.00203971
  8. ema9_ema21_diff : -0.00235996
  9. ema21_ema50_diff : -0.00180493
  10. price_ema100_diff : -0.014134
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0992329
  14. ema_slope_21 : -0.0248601
  15. ema_slope_50 : -0.0104271
  16. ema_slope_100 : -0.0305812
  17. rsi : 0.498947
  18. adx : 0.158087
  19. kc_percentage : 0.492879
  20. kc_width_percentage : 0.0456347
  21. volume_ema_diff : -0.667187
  22. volume_ema1 : 169518.35138183
  23. volume_ema2 : 509350.47890562
  24. chop : 60.277
  25. regime : range_high
  26. ¸
  27. 15m
  28. ema9 : 0.08687
  29. ema21 : 0.0868532
  30. ema50 : 0.0872538
  31. ema100 : 0.0875395
  32. price_ema9_diff : 0.00610024
  33. ema9_ema21_diff : 0.000193135
  34. ema21_ema50_diff : -0.00459026
  35. price_ema100_diff : -0.00159362
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0350079
  39. ema_slope_21 : -0.0189092
  40. ema_slope_50 : -0.0322083
  41. ema_slope_100 : -0.0220042
  42. rsi : 0.563126
  43. adx : 0.204613
  44. kc_percentage : 0.860061
  45. kc_width_percentage : 0.0177554
  46. volume_ema_diff : -0.681638
  47. volume_ema1 : 24772.974824852
  48. volume_ema2 : 77813.99428446
  49. chop : 55.5092
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.0870305
  54. ema21 : 0.086773
  55. ema50 : 0.0867273
  56. ema100 : 0.0870164
  57. price_ema9_diff : 0.00424484
  58. ema9_ema21_diff : 0.00296818
  59. ema21_ema50_diff : 0.000526697
  60. price_ema100_diff : 0.00440806
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0643991
  64. ema_slope_21 : 0.0348708
  65. ema_slope_50 : 0.00873027
  66. ema_slope_100 : -0.00432613
  67. rsi : 0.713123
  68. adx : 0.274924
  69. kc_percentage : 1.44741
  70. kc_width_percentage : 0.0074257
  71. volume_ema_diff : -0.0814951
  72. volume_ema1 : 16896.298416581
  73. volume_ema2 : 18395.438087936
  74. chop : 26.422
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109339
  80. 5m_price_ema100_diff:
    0.000810421
  81. 5m_price:
    109428
  82. 5m_correlation_with_coin:
    0.617749
  83. btc_indicators
  84. 15m_ema100:
    109360
  85. 15m_price_ema100_diff:
    0.000621154
  86. 15m_price:
    109428
  87. 15m_correlation_with_coin:
    0.159368
  88. btc_indicators
  89. 1H_ema100:
    110263
  90. 1H_price_ema100_diff:
    -0.00757521
  91. 1H_price:
    109428
  92. 1H_correlation_with_coin:
    -0.013326
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Sep 2025
18:02:19
27 Sep 2025
18:05:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0874 0.08765 0.08689 2.04 0.0663
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 0.0874
  • Stop Loss: 0.08765
  • Take Profit: 0.08689

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08765 - 0.0874 = 0.00025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0874 - 0.08689 = 0.00051000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00051000000000001 / 0.00025 = 2.04

📌 Position Size

Amount Margin Quantity Leverage
2753.1842 100 31500.963 27.53
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 0.00025

Taille de position = 8 / 0.00025 = 32000

Taille de position USD = 32000 x 0.0874 = 2796.8

Donc, tu peux acheter 32000 avec un stoploss a 0.08765

Avec un position size USD de 2796.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 32000 x 0.00025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 32000 x 0.00051000000000001 = 16.32

Si Take Profit atteint, tu gagneras 16.32$

Résumé

  • Taille de position 32000
  • Taille de position USD 2796.8
  • Perte potentielle 8
  • Gain potentiel 16.32
  • Risk-Reward Ratio 2.04

📌 Peformances

TP % Target TP $ Target
0.58 % 16.07 $
SL % Target SL $ Target
0.29 % 7.88 $
PNL PNL %
-7.88 $ -0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4577 % 160.03 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08689
            [entry_price] => 0.0874
            [stop_loss] => 0.087675
            [rr_ratio] => 1.85
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-27 18:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08689
            [entry_price] => 0.0874
            [stop_loss] => 0.0877
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-27 18:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08689
            [entry_price] => 0.0874
            [stop_loss] => 0.087725
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-27 18:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08689
            [entry_price] => 0.0874
            [stop_loss] => 0.087775
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-27 18:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001
            [max_drawdown] => 0.0009
            [rr_ratio] => 1.11
            [high] => 0.08830000
            [low] => 0.08640000
            [mfe_pct] => 1.14
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 1.11
            [candles_analyzed] => 24
            [start_at] => 2025-09-27T18:02:19-04:00
            [end_at] => 2025-09-27T20:02:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0029
            [max_drawdown] => 0.0009
            [rr_ratio] => 3.22
            [high] => 0.08830000
            [low] => 0.08450000
            [mfe_pct] => 3.32
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 3.22
            [candles_analyzed] => 84
            [start_at] => 2025-09-27T18:02:19-04:00
            [end_at] => 2025-09-28T01:02:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08750000
            [high_after] => 0.08830000
            [low_before] => 0.08590000
            [low_after] => 0.08450000
            [is_new_high] => 
            [is_new_low] => 1
        )

)