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Short Trade on AI16Z

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Short Trade on AI16Z 20 Sep 2025 at 16:42:05

Take profit at 0.1139 (0.78 %) and Stop Loss at 0.1152 (0.35 %)

Short Trade on AI16Z

The 20 Sep 2025 at 16:42:05

With 18142.779 AI16Z at 0.1148$ per unit.

Position size of 2082.791 $

Take profit at 0.1139 (0.78 %) and Stop Loss at 0.1152 (0.35 %)

That's a 2.25 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.86
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.57
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.605185

15m : -0.097678

1H : 0.170597

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0002939645215
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.114634
  4. ema21 : 0.114802
  5. ema50 : 0.11609
  6. ema100 : 0.1164
  7. price_ema9_diff : 0.00144761
  8. ema9_ema21_diff : -0.00146567
  9. ema21_ema50_diff : -0.0110994
  10. price_ema100_diff : -0.0137459
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0181453
  14. ema_slope_21 : -0.032908
  15. ema_slope_50 : -0.0691302
  16. ema_slope_100 : -0.037117
  17. rsi : 0.486657
  18. adx : 0.257523
  19. kc_percentage : 0.505747
  20. kc_width_percentage : 0.055549
  21. volume_ema_diff : -0.391644
  22. volume_ema1 : 301622.91812574
  23. volume_ema2 : 495800.39476489
  24. chop : 54.4333
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.114206
  28. ema21 : 0.114504
  29. ema50 : 0.114479
  30. ema100 : 0.114229
  31. price_ema9_diff : 0.00519732
  32. ema9_ema21_diff : -0.00260614
  33. ema21_ema50_diff : 0.000221322
  34. price_ema100_diff : 0.00499612
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.113124
  38. ema_slope_21 : -0.0646488
  39. ema_slope_50 : -0.0169856
  40. ema_slope_100 : -0.00240613
  41. rsi : 0.485623
  42. adx : 0.205092
  43. kc_percentage : 0.621877
  44. kc_width_percentage : 0.0220215
  45. volume_ema_diff : -0.495277
  46. volume_ema1 : 45173.42173284
  47. volume_ema2 : 89501.570916722
  48. chop : 55.2811
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.114333
  52. ema21 : 0.114189
  53. ema50 : 0.114441
  54. ema100 : 0.114495
  55. price_ema9_diff : 0.00407892
  56. ema9_ema21_diff : 0.00126096
  57. ema21_ema50_diff : -0.00220322
  58. price_ema100_diff : 0.00266297
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0349662
  62. ema_slope_21 : 0.00397899
  63. ema_slope_50 : -0.0135408
  64. ema_slope_100 : -0.00756694
  65. rsi : 0.617824
  66. adx : 0.269895
  67. kc_percentage : 1.04439
  68. kc_width_percentage : 0.00980185
  69. volume_ema_diff : -0.271831
  70. volume_ema1 : 19071.623119796
  71. volume_ema2 : 26191.212216481
  72. chop : 37.6216
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    115764
  77. 5m_price_ema100_diff: 
    -0.000564515
  78. 5m_price: 
    115699
  79. 5m_correlation_with_coin: 
    0.605185
  80. btc_indicators
  81. 15m_ema100: 
    115633
  82. 15m_price_ema100_diff: 
    0.000709547
  83. 15m_price: 
    115715
  84. 15m_correlation_with_coin: 
    -0.097678
  85. btc_indicators
  86. 1H_ema100: 
    116221
  87. 1H_price_ema100_diff: 
    -0.00449848
  88. 1H_price: 
    115699
  89. 1H_correlation_with_coin: 
    0.170597
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
20 Sep 2025
16:42:05		 20 Sep 2025
17:00:00		 17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1148 0.1152 0.1139 2.25 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 0.1148
  • Stop Loss: 0.1152
  • Take Profit: 0.1139

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1152 - 0.1148 = 0.0004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1148 - 0.1139 = 0.0009

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0009 / 0.0004 = 2.25

📌 Position Size

Amount Margin Quantity Leverage
2082.791 100 18142.779 20.83
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 0.0004

Taille de position = 8 / 0.0004 = 20000

Taille de position USD = 20000 x 0.1148 = 2296

Donc, tu peux acheter 20000 avec un stoploss a 0.1152

Avec un position size USD de 2296$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.0004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.0009 = 18

Si Take Profit atteint, tu gagneras 18$

Résumé

  • Taille de position 20000
  • Taille de position USD 2296
  • Perte potentielle 8
  • Gain potentiel 18
  • Risk-Reward Ratio 2.25

📌 Peformances

TP % Target TP $ Target
0.78 % 16.33 $
SL % Target SL $ Target
0.35 % 7.26 $
PNL PNL %
-7.26 $ -0.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4355 % 125 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1139
            [entry_price] => 0.1148
            [stop_loss] => 0.11524
            [rr_ratio] => 2.05
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 17:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1139
            [entry_price] => 0.1148
            [stop_loss] => 0.11528
            [rr_ratio] => 1.88
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 17:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1139
            [entry_price] => 0.1148
            [stop_loss] => 0.11532
            [rr_ratio] => 1.73
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 17:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1139
            [entry_price] => 0.1148
            [stop_loss] => 0.1154
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 17:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0004
            [max_drawdown] => 0.0012
            [rr_ratio] => 0.33
            [high] => 0.11600000
            [low] => 0.11440000
            [mfe_pct] => 0.35
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T16:42:05-04:00
            [end_at] => 2025-09-20T18:42:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.0012
            [rr_ratio] => 1
            [high] => 0.11600000
            [low] => 0.11360000
            [mfe_pct] => 1.05
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T16:42:05-04:00
            [end_at] => 2025-09-20T23:42:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11650000
            [high_after] => 0.11600000
            [low_before] => 0.11320000
            [low_after] => 0.11360000
            [is_new_high] => 
            [is_new_low] => 
        )

)