Short Trade on AI16Z 15 Sep 2025 at 16:33:21

Take profit at 0.1058 (1.21 %) and Stop Loss at 0.1078 (0.65 %)

Short Trade on AI16Z

The 15 Sep 2025 at 16:33:21

With 12097.6756 AI16Z at 0.1071$ per unit.

Position size of 1295.6611 $

Take profit at 0.1058 (1.21 %) and Stop Loss at 0.1078 (0.65 %)

That's a 1.86 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.39
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.76
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_medium

BTC Correlation Score

5m : 0.651874

15m : -0.141729

1H : 0.018632

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0004408560385
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.106496
  4. ema21 : 0.109811
  5. ema50 : 0.115006
  6. ema100 : 0.116925
  7. price_ema9_diff : 0.00566693
  8. ema9_ema21_diff : -0.0301895
  9. ema21_ema50_diff : -0.045171
  10. price_ema100_diff : -0.0840342
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.603805
  14. ema_slope_21 : -0.553802
  15. ema_slope_50 : -0.368528
  16. ema_slope_100 : -0.197509
  17. rsi : 0.376019
  18. adx : 0.516389
  19. kc_percentage : 0.236063
  20. kc_width_percentage : 0.0863051
  21. volume_ema_diff : -0.330001
  22. volume_ema1 : 677459.82491295
  23. volume_ema2 : 1011135.9910315
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.106086
  28. ema21 : 0.105688
  29. ema50 : 0.107415
  30. ema100 : 0.110263
  31. price_ema9_diff : 0.00955776
  32. ema9_ema21_diff : 0.00376528
  33. ema21_ema50_diff : -0.0160783
  34. price_ema100_diff : -0.0286925
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.191552
  38. ema_slope_21 : 0.034302
  39. ema_slope_50 : -0.0807781
  40. ema_slope_100 : -0.0936863
  41. rsi : 0.591662
  42. adx : 0.407724
  43. kc_percentage : 0.880191
  44. kc_width_percentage : 0.0350865
  45. volume_ema_diff : -0.588937
  46. volume_ema1 : 102181.6724658
  47. volume_ema2 : 248579.28498393
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.106709
  52. ema21 : 0.1061
  53. ema50 : 0.10549
  54. ema100 : 0.10588
  55. price_ema9_diff : 0.00366312
  56. ema9_ema21_diff : 0.00573167
  57. ema21_ema50_diff : 0.00578822
  58. price_ema100_diff : 0.011519
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.120093
  62. ema_slope_21 : 0.101796
  63. ema_slope_50 : 0.0564269
  64. ema_slope_100 : 0.0158383
  65. rsi : 0.699952
  66. adx : 0.382128
  67. kc_percentage : 1.07313
  68. kc_width_percentage : 0.0155544
  69. volume_ema_diff : -0.303756
  70. volume_ema1 : 41850.096119919
  71. volume_ema2 : 60108.431738676
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114962
  77. 5m_price_ema100_diff:
    0.00264713
  78. 5m_price:
    115267
  79. 5m_correlation_with_coin:
    0.651874
  80. btc_indicators
  81. 15m_ema100:
    115188
  82. 15m_price_ema100_diff:
    0.000680216
  83. 15m_price:
    115267
  84. 15m_correlation_with_coin:
    -0.141729
  85. btc_indicators
  86. 1H_ema100:
    115314
  87. 1H_price_ema100_diff:
    -0.000411317
  88. 1H_price:
    115267
  89. 1H_correlation_with_coin:
    0.018632
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:33:21
15 Sep 2025
18:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1071 0.1078 0.1058 1.86 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 0.1071
  • Stop Loss: 0.1078
  • Take Profit: 0.1058

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1078 - 0.1071 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1071 - 0.1058 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.00070000000000001 = 1.8571

📌 Position Size

Amount Margin Quantity Leverage
1295.6611 100 12097.6756 12.96
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 0.00070000000000001

Taille de position = 8 / 0.00070000000000001 = 11428.57

Taille de position USD = 11428.57 x 0.1071 = 1224

Donc, tu peux acheter 11428.57 avec un stoploss a 0.1078

Avec un position size USD de 1224$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.0013 = 14.86

Si Take Profit atteint, tu gagneras 14.86$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 1224
  • Perte potentielle 8
  • Gain potentiel 14.86
  • Risk-Reward Ratio 1.8571

📌 Peformances

TP % Target TP $ Target
1.21 % 15.73 $
SL % Target SL $ Target
0.65 % 8.47 $
PNL PNL %
-8.47 $ -0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6536 % 100 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1058
            [entry_price] => 0.1071
            [stop_loss] => 0.10787
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 18:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1058
            [entry_price] => 0.1071
            [stop_loss] => 0.10794
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1058
            [entry_price] => 0.1071
            [stop_loss] => 0.10801
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 19:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1058
            [entry_price] => 0.1071
            [stop_loss] => 0.10815
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 19:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00029999999999999
            [max_drawdown] => 0.0008
            [rr_ratio] => 0.37
            [high] => 0.10790000
            [low] => 0.10680000
            [mfe_pct] => 0.28
            [mae_pct] => 0.75
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:33:21-04:00
            [end_at] => 2025-09-15T18:33:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0032
            [rr_ratio] => 0.16
            [high] => 0.11030000
            [low] => 0.10660000
            [mfe_pct] => 0.47
            [mae_pct] => 2.99
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:33:21-04:00
            [end_at] => 2025-09-15T23:33:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10730000
            [high_after] => 0.10920000
            [low_before] => 0.10200000
            [low_after] => 0.10660000
            [is_new_high] => 
            [is_new_low] => 
        )

)