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Short Trade on AI16Z

Short Trade on AI16Z

The 30 Oct 2025 at 21:17:24

With 17885.6069 AI16Z at 0.0592$ per unit.

Position size of 1058.8279 $

Take profit at 0.05831 (1.5 %) and Stop Loss at 0.05965 (0.76 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.33
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.93
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.552072

15m : 0.045006

1H : -0.002691

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.0002981913539
Details
  1. score: 1.19
  2. 1H
  3. ema9 - 0.0581722
  4. ema21 - 0.0594671
  5. ema50 - 0.0621066
  6. ema100 - 0.0649015
  7. price_ema9_diff - 0.0176671
  8. ema9_ema21_diff - -0.0217755
  9. ema21_ema50_diff - -0.0424986
  10. price_ema100_diff - -0.0878498
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.475065
  14. ema_slope_21 - -0.50222
  15. ema_slope_50 - -0.355768
  16. ema_slope_100 - -0.247057
  17. rsi - 0.452231
  18. adx - 0.449356
  19. kc_percentage - 0.472959
  20. kc_width_percentage - 0.0920754
  21. volume_ema_diff - -0.622047
  22. volume_ema1 - 99882.938712018
  23. volume_ema2 - 264274.11287609
  24. chop - 49.3276
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0583557
  28. ema21 - 0.0578415
  29. ema50 - 0.0582941
  30. ema100 - 0.0599134
  31. price_ema9_diff - 0.014467
  32. ema9_ema21_diff - 0.00889064
  33. ema21_ema50_diff - -0.0077642
  34. price_ema100_diff - -0.0119072
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.209292
  38. ema_slope_21 - 0.120284
  39. ema_slope_50 - -0.0154453
  40. ema_slope_100 - -0.068612
  41. rsi - 0.719732
  42. adx - 0.270105
  43. kc_percentage - 1.15083
  44. kc_width_percentage - 0.0347769
  45. volume_ema_diff - -0.363433
  46. volume_ema1 - 25738.202446444
  47. volume_ema2 - 40432.869501919
  48. chop - 48.5336
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0587376
  52. ema21 - 0.0583314
  53. ema50 - 0.0578071
  54. ema100 - 0.0574796
  55. price_ema9_diff - 0.00787107
  56. ema9_ema21_diff - 0.00696319
  57. ema21_ema50_diff - 0.0090706
  58. price_ema100_diff - 0.029929
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.134475
  62. ema_slope_21 - 0.0997023
  63. ema_slope_50 - 0.0691877
  64. ema_slope_100 - 0.0423975
  65. rsi - 0.743497
  66. adx - 0.499267
  67. kc_percentage - 1.18559
  68. kc_width_percentage - 0.0207461
  69. volume_ema_diff - 0.323647
  70. volume_ema1 - 13734.921719629
  71. volume_ema2 - 10376.570304842
  72. chop - 35.8496
  73. regime - bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 107919
  77. 5m_price_ema100_diff: 0.0182565
  78. 5m_price: 109889
  79. 5m_correlation_with_coin: 0.552072
  80. btc_indicators
  81. 15m_ema100: 108696
  82. 15m_price_ema100_diff: 0.0109753
  83. 15m_price: 109889
  84. 15m_correlation_with_coin: 0.045006
  85. btc_indicators
  86. 1H_ema100: 111692
  87. 1H_price_ema100_diff: -0.0161411
  88. 1H_price: 109889
  89. 1H_correlation_with_coin: -0.002691
    90. ¸

📌 Time Data

Start at Closed at Duration
30 Oct 2025
21:17:24		 30 Oct 2025
21:50:00		 32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0592 0.05965 0.05831 1.98 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 0.0592
  • Stop Loss: 0.05965
  • Take Profit: 0.05831

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05965 - 0.0592 = 0.00045

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0592 - 0.05831 = 0.00089

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00089 / 0.00045 = 1.9778

📌 Position Size

Amount Margin Quantity Leverage
1058.8279 100 17885.6069 10.59
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 0.00045

Taille de position = 8 / 0.00045 = 17777.78

Taille de position USD = 17777.78 x 0.0592 = 1052.44

Donc, tu peux acheter 17777.78 avec un stoploss a 0.05965

Avec un position size USD de 1052.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17777.78 x 0.00045 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17777.78 x 0.00089 = 15.82

Si Take Profit atteint, tu gagneras 15.82$

Résumé

  • Taille de position 17777.78
  • Taille de position USD 1052.44
  • Perte potentielle 8
  • Gain potentiel 15.82
  • Risk-Reward Ratio 1.9778

📌 Peformances

TP % Target TP $ Target
1.5 % 15.92 $
SL % Target SL $ Target
0.76 % 8.05 $
PNL PNL %
-8.05 $ -0.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8446 % 111.12 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05831
            [entry_price] => 0.0592
            [stop_loss] => 0.059695
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-30 21:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05831
            [entry_price] => 0.0592
            [stop_loss] => 0.05974
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-30 22:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05831
            [entry_price] => 0.0592
            [stop_loss] => 0.059785
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-30 22:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05831
            [entry_price] => 0.0592
            [stop_loss] => 0.059875
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-30 22:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0013
            [rr_ratio] => 0.38
            [high] => 0.06050000
            [low] => 0.05870000
            [mfe_pct] => 0.84
            [mae_pct] => 2.2
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T21:17:24-04:00
            [end_at] => 2025-10-30T23:17:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0133
            [rr_ratio] => 0.04
            [high] => 0.07250000
            [low] => 0.05870000
            [mfe_pct] => 0.84
            [mae_pct] => 22.47
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T21:17:24-04:00
            [end_at] => 2025-10-31T04:17:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05930000
            [high_after] => 0.07250000
            [low_before] => 0.05660000
            [low_after] => 0.05870000
            [is_new_high] => 
            [is_new_low] => 
        )

)