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Short Trade on AI16Z

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Short Trade on AI16Z 15 Sep 2025 at 17:22:53

Take profit at 0.1065 (0.93 %) and Stop Loss at 0.108 (0.47 %)

Short Trade on AI16Z

The 15 Sep 2025 at 17:22:53

With 16169.228 AI16Z at 0.1075$ per unit.

Position size of 1738.192 $

Take profit at 0.1065 (0.93 %) and Stop Loss at 0.108 (0.47 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.22
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.77
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.639048

15m : 0.170794

1H : -0.130014

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0003298446492
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.106729
  4. ema21 : 0.109618
  5. ema50 : 0.114714
  6. ema100 : 0.116702
  7. price_ema9_diff : 0.00722207
  8. ema9_ema21_diff : -0.0263534
  9. ema21_ema50_diff : -0.0444258
  10. price_ema100_diff : -0.0788536
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.521385
  14. ema_slope_21 : -0.521458
  15. ema_slope_50 : -0.361352
  16. ema_slope_100 : -0.196408
  17. rsi : 0.389846
  18. adx : 0.507791
  19. kc_percentage : 0.282276
  20. kc_width_percentage : 0.0795809
  21. volume_ema_diff : -0.4799
  22. volume_ema1 : 509126.37452765
  23. volume_ema2 : 978902.22449242
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.106672
  27. ema21 : 0.106083
  28. ema50 : 0.107428
  29. ema100 : 0.110312
  30. price_ema9_diff : 0.00776003
  31. ema9_ema21_diff : 0.0055537
  32. ema21_ema50_diff : -0.0125204
  33. price_ema100_diff : -0.0254955
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.21159
  37. ema_slope_21 : 0.083139
  38. ema_slope_50 : -0.0479934
  39. ema_slope_100 : -0.080223
  40. rsi : 0.607891
  41. adx : 0.37229
  42. kc_percentage : 0.95079
  43. kc_width_percentage : 0.0291442
  44. volume_ema_diff : -0.706518
  45. volume_ema1 : 66751.343629161
  46. volume_ema2 : 227446.31165151
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.107231
  50. ema21 : 0.106811
  51. ema50 : 0.106038
  52. ema100 : 0.105884
  53. price_ema9_diff : 0.00249934
  54. ema9_ema21_diff : 0.00393758
  55. ema21_ema50_diff : 0.00729081
  56. price_ema100_diff : 0.0152597
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0561547
  60. ema_slope_21 : 0.0716478
  61. ema_slope_50 : 0.057398
  62. ema_slope_100 : 0.0283508
  63. rsi : 0.700279
  64. adx : 0.438418
  65. kc_percentage : 1.05457
  66. kc_width_percentage : 0.0109132
  67. volume_ema_diff : -0.628777
  68. volume_ema1 : 17251.089543469
  69. volume_ema2 : 46470.963959484
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114990
  74. 5m_price_ema100_diff: 
    0.00367944
  75. 5m_price: 
    115413
  76. 5m_correlation_with_coin: 
    0.639048
  77. btc_indicators
  78. 15m_ema100: 
    115222
  79. 15m_price_ema100_diff: 
    0.00136915
  80. 15m_price: 
    115380
  81. 15m_correlation_with_coin: 
    0.170794
  82. btc_indicators
  83. 1H_ema100: 
    115280
  84. 1H_price_ema100_diff: 
    0.00115062
  85. 1H_price: 
    115413
  86. 1H_correlation_with_coin: 
    -0.130014
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
17:22:53		 15 Sep 2025
18:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1075 0.108 0.1065 2 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 0.1075
  • Stop Loss: 0.108
  • Take Profit: 0.1065

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.108 - 0.1075 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1075 - 0.1065 = 0.001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.001 / 0.0005 = 2

📌 Position Size

Amount Margin Quantity Leverage
1738.192 100 16169.228 17.38
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1075 = 1720

Donc, tu peux acheter 16000 avec un stoploss a 0.108

Avec un position size USD de 1720$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.001 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 16000
  • Taille de position USD 1720
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.93 % 16.17 $
SL % Target SL $ Target
0.47 % 8.08 $
PNL PNL %
-8.08 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4651 % 100 % 13

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1065
            [entry_price] => 0.1075
            [stop_loss] => 0.10805
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 19:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1065
            [entry_price] => 0.1075
            [stop_loss] => 0.1081
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 19:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1065
            [entry_price] => 0.1075
            [stop_loss] => 0.10815
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 19:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1065
            [entry_price] => 0.1075
            [stop_loss] => 0.10825
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 21:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0009
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 1.29
            [high] => 0.10820000
            [low] => 0.10660000
            [mfe_pct] => 0.84
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 1.29
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T17:22:53-04:00
            [end_at] => 2025-09-15T19:22:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0009
            [max_drawdown] => 0.0028
            [rr_ratio] => 0.32
            [high] => 0.11030000
            [low] => 0.10660000
            [mfe_pct] => 0.84
            [mae_pct] => 2.6
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T17:22:53-04:00
            [end_at] => 2025-09-16T00:22:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10760000
            [high_after] => 0.10920000
            [low_before] => 0.10260000
            [low_after] => 0.10660000
            [is_new_high] => 
            [is_new_low] => 
        )

)