Short Trade on AI16Z 17 Sep 2025 at 07:29:35

Take profit at 0.1099 (1.52 %) and Stop Loss at 0.1124 (0.72 %)

Short Trade on AI16Z

The 17 Sep 2025 at 07:29:35

With 9530.0944 AI16Z at 0.1116$ per unit.

Position size of 1063.5585 $

Take profit at 0.1099 (1.52 %) and Stop Loss at 0.1124 (0.72 %)

That's a 2.13 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 2.03
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
1 0.43
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.560407

15m : -0.002231

1H : 0.030173

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0005596306952
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.111879
  4. ema21 : 0.111967
  5. ema50 : 0.112506
  6. ema100 : 0.11533
  7. price_ema9_diff : -0.00249812
  8. ema9_ema21_diff : -0.000789375
  9. ema21_ema50_diff : -0.00478468
  10. price_ema100_diff : -0.0323497
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.0533897
  14. ema_slope_21 : 0.0321327
  15. ema_slope_50 : -0.00847856
  16. ema_slope_100 : -0.0575691
  17. rsi : 0.489142
  18. adx : 0.239311
  19. kc_percentage : 0.45266
  20. kc_width_percentage : 0.0725492
  21. volume_ema_diff : -0.287948
  22. volume_ema1 : 420186.13302127
  23. volume_ema2 : 590106.59287093
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.110421
  28. ema21 : 0.111245
  29. ema50 : 0.111888
  30. ema100 : 0.111729
  31. price_ema9_diff : 0.0106695
  32. ema9_ema21_diff : -0.00740212
  33. ema21_ema50_diff : -0.00575275
  34. price_ema100_diff : -0.00115665
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.190137
  38. ema_slope_21 : -0.125142
  39. ema_slope_50 : -0.0597536
  40. ema_slope_100 : -0.0222653
  41. rsi : 0.404033
  42. adx : 0.221079
  43. kc_percentage : 0.61076
  44. kc_width_percentage : 0.032719
  45. volume_ema_diff : -0.14597
  46. volume_ema1 : 96390.522062272
  47. volume_ema2 : 112865.58478671
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.110472
  52. ema21 : 0.110445
  53. ema50 : 0.111151
  54. ema100 : 0.111893
  55. price_ema9_diff : 0.0102085
  56. ema9_ema21_diff : 0.000239707
  57. ema21_ema50_diff : -0.00635377
  58. price_ema100_diff : -0.00262388
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.00610249
  62. ema_slope_21 : -0.0505846
  63. ema_slope_50 : -0.0541935
  64. ema_slope_100 : -0.0397948
  65. rsi : 0.599372
  66. adx : 0.358967
  67. kc_percentage : 1.00272
  68. kc_width_percentage : 0.0209521
  69. volume_ema_diff : -0.0926039
  70. volume_ema1 : 37962.072941147
  71. volume_ema2 : 41836.279137953
  72. regime : range_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116634
  77. 5m_price_ema100_diff:
    -0.00305883
  78. 5m_price:
    116277
  79. 5m_correlation_with_coin:
    0.560407
  80. btc_indicators
  81. 15m_ema100:
    116361
  82. 15m_price_ema100_diff:
    -0.000959632
  83. 15m_price:
    116250
  84. 15m_correlation_with_coin:
    -0.002231
  85. btc_indicators
  86. 1H_ema100:
    115882
  87. 1H_price_ema100_diff:
    0.00340614
  88. 1H_price:
    116277
  89. 1H_correlation_with_coin:
    0.030173
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
07:29:35
17 Sep 2025
07:30:00
25 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1116 0.1124 0.1099 2.13 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 0.1116
  • Stop Loss: 0.1124
  • Take Profit: 0.1099

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1124 - 0.1116 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1116 - 0.1099 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.0008 = 2.125

📌 Position Size

Amount Margin Quantity Leverage
1063.5585 100 9530.0944 10.64
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 0.1116 = 1116

Donc, tu peux acheter 10000 avec un stoploss a 0.1124

Avec un position size USD de 1116$

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 0.0017 = 17

Si Take Profit atteint, tu gagneras 17$

Résumé

  • Taille de position 10000
  • Taille de position USD 1116
  • Perte potentielle 8
  • Gain potentiel 17
  • Risk-Reward Ratio 2.125

📌 Peformances

TP % Target TP $ Target
1.52 % 16.2 $
SL % Target SL $ Target
0.72 % 7.62 $
PNL PNL %
-7.62 $ -0.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7168 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1099
            [entry_price] => 0.1116
            [stop_loss] => 0.11248
            [rr_ratio] => 1.93
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 10:25:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.1099
            [entry_price] => 0.1116
            [stop_loss] => 0.11256
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 10:25:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1099
            [entry_price] => 0.1116
            [stop_loss] => 0.11264
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 10:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1099
            [entry_price] => 0.1116
            [stop_loss] => 0.1128
            [rr_ratio] => 1.42
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 10:25:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0016
            [max_drawdown] => 0.0008
            [rr_ratio] => 2
            [high] => 0.11240000
            [low] => 0.11000000
            [mfe_pct] => 1.43
            [mae_pct] => 0.72
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T07:29:35-04:00
            [end_at] => 2025-09-17T09:29:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0029
            [max_drawdown] => 0.0041
            [rr_ratio] => 0.71
            [high] => 0.11570000
            [low] => 0.10870000
            [mfe_pct] => 2.6
            [mae_pct] => 3.67
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T07:29:35-04:00
            [end_at] => 2025-09-17T14:29:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11410000
            [high_after] => 0.11240000
            [low_before] => 0.10850000
            [low_after] => 0.10870000
            [is_new_high] => 
            [is_new_low] => 
        )

)