Short Trade on TIA 04 Sep 2025 at 18:32:58

Take profit at 1.5599 (0.52 %) and Stop Loss at 1.5722 (0.26 %)

Short Trade on TIA

The 04 Sep 2025 at 18:32:58

With 1946.7916 TIA at 1.5681$ per unit.

Position size of 3052.764 $

Take profit at 1.5599 (0.52 %) and Stop Loss at 1.5722 (0.26 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.47
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.693656

15m : -0.198238

1H : 0.032156

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.002739550142
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 1.56231
  4. ema21 : 1.57501
  5. ema50 : 1.58878
  6. ema100 : 1.59575
  7. price_ema9_diff : 0.00370208
  8. ema9_ema21_diff : -0.00806029
  9. ema21_ema50_diff : -0.00866644
  10. price_ema100_diff : -0.0173314
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.159659
  14. ema_slope_21 : -0.150178
  15. ema_slope_50 : -0.0832584
  16. ema_slope_100 : -0.0457096
  17. rsi : 0.428814
  18. adx : 0.295841
  19. kc_percentage : 0.391401
  20. kc_width_percentage : 0.0350575
  21. volume_ema_diff : -0.418229
  22. volume_ema1 : 386610.55770536
  23. volume_ema2 : 664541.66691467
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 1.56169
  28. ema21 : 1.55915
  29. ema50 : 1.56633
  30. ema100 : 1.58251
  31. price_ema9_diff : 0.00410077
  32. ema9_ema21_diff : 0.00163157
  33. ema21_ema50_diff : -0.00458441
  34. price_ema100_diff : -0.00911139
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0612127
  38. ema_slope_21 : 0.0150244
  39. ema_slope_50 : -0.0224769
  40. ema_slope_100 : -0.0333361
  41. rsi : 0.594803
  42. adx : 0.246467
  43. kc_percentage : 0.882068
  44. kc_width_percentage : 0.0149808
  45. volume_ema_diff : -0.544722
  46. volume_ema1 : 62603.385779441
  47. volume_ema2 : 137506.09061137
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 1.56424
  52. ema21 : 1.56136
  53. ema50 : 1.55812
  54. ema100 : 1.5581
  55. price_ema9_diff : 0.00246146
  56. ema9_ema21_diff : 0.00184828
  57. ema21_ema50_diff : 0.00207755
  58. price_ema100_diff : 0.00641188
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0376344
  62. ema_slope_21 : 0.0308419
  63. ema_slope_50 : 0.0184879
  64. ema_slope_100 : 0.0079783
  65. rsi : 0.677033
  66. adx : 0.189248
  67. kc_percentage : 1.12977
  68. kc_width_percentage : 0.00661466
  69. volume_ema_diff : -0.350651
  70. volume_ema1 : 24997.818703413
  71. volume_ema2 : 38496.741768735
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110073
  77. 5m_price_ema100_diff:
    0.006222
  78. 5m_price:
    110758
  79. 5m_correlation_with_coin:
    0.693656
  80. btc_indicators
  81. 15m_ema100:
    110603
  82. 15m_price_ema100_diff:
    0.00140432
  83. 15m_price:
    110758
  84. 15m_correlation_with_coin:
    -0.198238
  85. btc_indicators
  86. 1H_ema100:
    110321
  87. 1H_price_ema100_diff:
    0.00396481
  88. 1H_price:
    110758
  89. 1H_correlation_with_coin:
    0.032156
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
18:32:58
04 Sep 2025
18:55:00
22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.5681 1.5722 1.5599 2 0.3317
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 1.5681
  • Stop Loss: 1.5722
  • Take Profit: 1.5599

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.5722 - 1.5681 = 0.0041

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.5681 - 1.5599 = 0.0082

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0082 / 0.0041 = 2

📌 Position Size

Amount Margin Quantity Leverage
3052.764 100 1946.7916 30.53
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 0.0041

Taille de position = 8 / 0.0041 = 1951.22

Taille de position USD = 1951.22 x 1.5681 = 3059.71

Donc, tu peux acheter 1951.22 avec un stoploss a 1.5722

Avec un position size USD de 3059.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1951.22 x 0.0041 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1951.22 x 0.0082 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1951.22
  • Taille de position USD 3059.71
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.52 % 15.96 $
SL % Target SL $ Target
0.26 % 7.98 $
PNL PNL %
-7.98 $ -0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6505 % 248.76 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.5599
            [entry_price] => 1.5681
            [stop_loss] => 1.57261
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.5599
            [entry_price] => 1.5681
            [stop_loss] => 1.57302
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.5599
            [entry_price] => 1.5681
            [stop_loss] => 1.57343
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.5599
            [entry_price] => 1.5681
            [stop_loss] => 1.57425
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0148
            [max_drawdown] => 0.0117
            [rr_ratio] => 1.26
            [high] => 1.57980000
            [low] => 1.55330000
            [mfe_pct] => 0.94
            [mae_pct] => 0.75
            [mfe_mae_ratio] => 1.26
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T18:32:58-04:00
            [end_at] => 2025-09-04T20:32:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0148
            [max_drawdown] => 0.0193
            [rr_ratio] => 0.77
            [high] => 1.58740000
            [low] => 1.55330000
            [mfe_pct] => 0.94
            [mae_pct] => 1.23
            [mfe_mae_ratio] => 0.77
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T18:32:58-04:00
            [end_at] => 2025-09-05T01:32:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.56910000
            [high_after] => 1.58740000
            [low_before] => 1.54170000
            [low_after] => 1.55330000
            [is_new_high] => 
            [is_new_low] => 
        )

)