Short Trade on AI16Z 15 Sep 2025 at 14:41:12

Take profit at 0.1036 (1.52 %) and Stop Loss at 0.106 (0.76 %)

Short Trade on AI16Z

The 15 Sep 2025 at 14:41:12

With 9902.5352 AI16Z at 0.1052$ per unit.

Position size of 1041.7467 $

Take profit at 0.1036 (1.52 %) and Stop Loss at 0.106 (0.76 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.32
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.51
Prediction 3 Probability
0 0.75
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 : range_medium

BTC Correlation Score

5m : 0.665897

15m : -0.120826

1H : 0.061364

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0005385826179
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.106422
  4. ema21 : 0.110489
  5. ema50 : 0.115667
  6. ema100 : 0.117043
  7. price_ema9_diff : -0.0114827
  8. ema9_ema21_diff : -0.0368098
  9. ema21_ema50_diff : -0.0447697
  10. price_ema100_diff : -0.101191
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.786842
  14. ema_slope_21 : -0.609328
  15. ema_slope_50 : -0.374226
  16. ema_slope_100 : -0.18951
  17. rsi : 0.306395
  18. adx : 0.526703
  19. kc_percentage : -0.00291591
  20. kc_width_percentage : 0.0943916
  21. volume_ema_diff : -0.0939253
  22. volume_ema1 : 963774.22287164
  23. volume_ema2 : 1063680.7769015
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.104184
  28. ema21 : 0.105013
  29. ema50 : 0.107898
  30. ema100 : 0.111121
  31. price_ema9_diff : 0.00974586
  32. ema9_ema21_diff : -0.0078938
  33. ema21_ema50_diff : -0.0267391
  34. price_ema100_diff : -0.0532895
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.132424
  38. ema_slope_21 : -0.188595
  39. ema_slope_50 : -0.190236
  40. ema_slope_100 : -0.146595
  41. rsi : 0.4444
  42. adx : 0.62355
  43. kc_percentage : 0.562881
  44. kc_width_percentage : 0.0426731
  45. volume_ema_diff : -0.607448
  46. volume_ema1 : 115931.05222409
  47. volume_ema2 : 295326.97317387
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.104555
  52. ema21 : 0.10415
  53. ema50 : 0.104533
  54. ema100 : 0.105631
  55. price_ema9_diff : 0.00616477
  56. ema9_ema21_diff : 0.00388441
  57. ema21_ema50_diff : -0.00366424
  58. price_ema100_diff : -0.00408182
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.113059
  62. ema_slope_21 : 0.0546969
  63. ema_slope_50 : -0.00773808
  64. ema_slope_100 : -0.0274907
  65. rsi : 0.625252
  66. adx : 0.203614
  67. kc_percentage : 1.02986
  68. kc_width_percentage : 0.018602
  69. volume_ema_diff : -0.626423
  70. volume_ema1 : 29985.64060564
  71. volume_ema2 : 80266.485854872
  72. regime : range_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114771
  77. 5m_price_ema100_diff:
    0.000808805
  78. 5m_price:
    114864
  79. 5m_correlation_with_coin:
    0.665897
  80. btc_indicators
  81. 15m_ema100:
    115164
  82. 15m_price_ema100_diff:
    -0.00246931
  83. 15m_price:
    114880
  84. 15m_correlation_with_coin:
    -0.120826
  85. btc_indicators
  86. 1H_ema100:
    115252
  87. 1H_price_ema100_diff:
    -0.00336975
  88. 1H_price:
    114864
  89. 1H_correlation_with_coin:
    0.061364
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:41:12
15 Sep 2025
15:05:00
23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1052 0.106 0.1036 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 0.1052
  • Stop Loss: 0.106
  • Take Profit: 0.1036

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.106 - 0.1052 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1052 - 0.1036 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.0008 = 2

📌 Position Size

Amount Margin Quantity Leverage
1041.7467 100 9902.5352 10.42
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.1052 = 1052

Donc, tu peux acheter 10000 avec un stoploss a 0.106

Avec un position size USD de 1052$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 10000
  • Taille de position USD 1052
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.52 % 15.84 $
SL % Target SL $ Target
0.76 % 7.92 $
PNL PNL %
-7.92 $ -0.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8555 % 112.49 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1036
            [entry_price] => 0.1052
            [stop_loss] => 0.10608
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1036
            [entry_price] => 0.1052
            [stop_loss] => 0.10616
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 15:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1036
            [entry_price] => 0.1052
            [stop_loss] => 0.10624
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 15:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1036
            [entry_price] => 0.1052
            [stop_loss] => 0.1064
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 15:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0006
            [max_drawdown] => 0.0021
            [rr_ratio] => 0.29
            [high] => 0.10730000
            [low] => 0.10460000
            [mfe_pct] => 0.57
            [mae_pct] => 2
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:41:12-04:00
            [end_at] => 2025-09-15T16:41:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0006
            [max_drawdown] => 0.004
            [rr_ratio] => 0.15
            [high] => 0.10920000
            [low] => 0.10460000
            [mfe_pct] => 0.57
            [mae_pct] => 3.8
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:41:12-04:00
            [end_at] => 2025-09-15T21:41:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10720000
            [high_after] => 0.10820000
            [low_before] => 0.10200000
            [low_after] => 0.10460000
            [is_new_high] => 
            [is_new_low] => 
        )

)