Short Trade on AI16Z 23 Sep 2025 at 02:53:10

Take profit at 0.09174 (1.46 %) and Stop Loss at 0.09378 (0.73 %)

Short Trade on AI16Z

The 23 Sep 2025 at 02:53:10

With 11805.0133 AI16Z at 0.0931$ per unit.

Position size of 1099.0467 $

Take profit at 0.09174 (1.46 %) and Stop Loss at 0.09378 (0.73 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.78
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
1 0.48
Prediction 3 Probability
0 0.95
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bull_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.653666

15m : 0.003385

1H : 0.104525

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0004517854589
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.0920108
  4. ema21 : 0.0938093
  5. ema50 : 0.0997544
  6. ema100 : 0.106088
  7. price_ema9_diff : 0.0118367
  8. ema9_ema21_diff : -0.0191715
  9. ema21_ema50_diff : -0.0595976
  10. price_ema100_diff : -0.122428
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.131205
  14. ema_slope_21 : -0.342117
  15. ema_slope_50 : -0.382957
  16. ema_slope_100 : -0.290428
  17. rsi : 0.437276
  18. adx : 0.600132
  19. kc_percentage : 0.4403
  20. kc_width_percentage : 0.0902977
  21. volume_ema_diff : -0.180074
  22. volume_ema1 : 696767.77561836
  23. volume_ema2 : 849793.81724243
  24. chop : 66.1382
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0921701
  29. ema21 : 0.0918701
  30. ema50 : 0.0921097
  31. ema100 : 0.0927803
  32. price_ema9_diff : 0.0100887
  33. ema9_ema21_diff : 0.0032657
  34. ema21_ema50_diff : -0.00260228
  35. price_ema100_diff : 0.00344573
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0469383
  39. ema_slope_21 : -0.000207951
  40. ema_slope_50 : -0.0221221
  41. ema_slope_100 : -0.0273139
  42. rsi : 0.613316
  43. adx : 0.191638
  44. kc_percentage : 0.854113
  45. kc_width_percentage : 0.0371907
  46. volume_ema_diff : -0.643572
  47. volume_ema1 : 109039.00685523
  48. volume_ema2 : 305922.07068727
  49. chop : 50.801
  50. regime : bull_high
  51. ¸
  52. 5m
  53. ema9 : 0.0926816
  54. ema21 : 0.0921688
  55. ema50 : 0.0918299
  56. ema100 : 0.0919986
  57. price_ema9_diff : 0.00451407
  58. ema9_ema21_diff : 0.00556297
  59. ema21_ema50_diff : 0.00369138
  60. price_ema100_diff : 0.011971
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.10709
  64. ema_slope_21 : 0.0789125
  65. ema_slope_50 : 0.0361846
  66. ema_slope_100 : 0.0107903
  67. rsi : 0.650271
  68. adx : 0.258305
  69. kc_percentage : 1.00064
  70. kc_width_percentage : 0.0193327
  71. volume_ema_diff : -0.176991
  72. volume_ema1 : 46785.634743149
  73. volume_ema2 : 56847.094458921
  74. chop : 44.6142
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112475
  80. 5m_price_ema100_diff:
    0.00446133
  81. 5m_price:
    112977
  82. 5m_correlation_with_coin:
    0.653666
  83. btc_indicators
  84. 15m_ema100:
    112564
  85. 15m_price_ema100_diff:
    0.00366611
  86. 15m_price:
    112977
  87. 15m_correlation_with_coin:
    0.003385
  88. btc_indicators
  89. 1H_ema100:
    114505
  90. 1H_price_ema100_diff:
    -0.0133432
  91. 1H_price:
    112977
  92. 1H_correlation_with_coin:
    0.104525
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Sep 2025
02:53:10
23 Sep 2025
03:20:00
26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0931 0.09378 0.09174 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 0.0931
  • Stop Loss: 0.09378
  • Take Profit: 0.09174

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09378 - 0.0931 = 0.00068

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0931 - 0.09174 = 0.00136

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00136 / 0.00068 = 2

📌 Position Size

Amount Margin Quantity Leverage
1099.0467 100 11805.0133 10.99
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 0.00068

Taille de position = 8 / 0.00068 = 11764.71

Taille de position USD = 11764.71 x 0.0931 = 1095.29

Donc, tu peux acheter 11764.71 avec un stoploss a 0.09378

Avec un position size USD de 1095.29$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11764.71 x 0.00068 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11764.71 x 0.00136 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 11764.71
  • Taille de position USD 1095.29
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.46 % 16.05 $
SL % Target SL $ Target
0.73 % 8.03 $
PNL PNL %
-8.03 $ -0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9667 % 132.35 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.09174
            [entry_price] => 0.0931
            [stop_loss] => 0.093848
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-23 03:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.09174
            [entry_price] => 0.0931
            [stop_loss] => 0.093916
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-23 03:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.09174
            [entry_price] => 0.0931
            [stop_loss] => 0.093984
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-23 03:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.09174
            [entry_price] => 0.0931
            [stop_loss] => 0.09412
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-23 06:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0009
            [rr_ratio] => 0.56
            [high] => 0.09400000
            [low] => 0.09260000
            [mfe_pct] => 0.54
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2025-09-23T02:53:10-04:00
            [end_at] => 2025-09-23T04:53:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0009
            [max_drawdown] => 0.0016
            [rr_ratio] => 0.56
            [high] => 0.09470000
            [low] => 0.09220000
            [mfe_pct] => 0.97
            [mae_pct] => 1.72
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 84
            [start_at] => 2025-09-23T02:53:10-04:00
            [end_at] => 2025-09-23T09:53:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09330000
            [high_after] => 0.09470000
            [low_before] => 0.08900000
            [low_after] => 0.09220000
            [is_new_high] => 
            [is_new_low] => 
        )

)