Short Trade on BTR 28 Sep 2025 at 07:21:54

Take profit at 0.08734 (2.52 %) and Stop Loss at 0.09073 (1.26 %)

Short Trade on BTR

The 28 Sep 2025 at 07:21:54

With 7087.3998 BTR at 0.0896$ per unit.

Position size of 635.031 $

Take profit at 0.08734 (2.52 %) and Stop Loss at 0.09073 (1.26 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.56
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
2 0.37
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_high

BTC Correlation Score

5m : 0.146569

15m : -0.113563

1H : -0.04195

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.0007525091738
Details
  1. score: 1.24
  2. 1H
  3. ema9 : 0.0901333
  4. ema21 : 0.0929751
  5. ema50 : 0.0965561
  6. ema100 : 0.0973842
  7. price_ema9_diff : -0.00591711
  8. ema9_ema21_diff : -0.0305648
  9. ema21_ema50_diff : -0.0370874
  10. price_ema100_diff : -0.0799329
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.518922
  14. ema_slope_21 : -0.427171
  15. ema_slope_50 : -0.280543
  16. ema_slope_100 : -0.139531
  17. rsi : 0.354096
  18. adx : 0.382181
  19. kc_percentage : 0.189302
  20. kc_width_percentage : 0.114176
  21. volume_ema_diff : -0.0407453
  22. volume_ema1 : 599205.92785526
  23. volume_ema2 : 624657.82372005
  24. chop : 31.2945
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0876793
  29. ema21 : 0.0887414
  30. ema50 : 0.0912193
  31. ema100 : 0.0938501
  32. price_ema9_diff : 0.0219049
  33. ema9_ema21_diff : -0.0119685
  34. ema21_ema50_diff : -0.027164
  35. price_ema100_diff : -0.0452868
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.232352
  39. ema_slope_21 : -0.281296
  40. ema_slope_50 : -0.218406
  41. ema_slope_100 : -0.156697
  42. rsi : 0.506313
  43. adx : 0.498419
  44. kc_percentage : 0.66714
  45. kc_width_percentage : 0.0642955
  46. volume_ema_diff : -0.197541
  47. volume_ema1 : 114261.7034393
  48. volume_ema2 : 142389.62912019
  49. chop : 38.5224
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.0879286
  54. ema21 : 0.0873702
  55. ema50 : 0.0882148
  56. ema100 : 0.0898746
  57. price_ema9_diff : 0.0190077
  58. ema9_ema21_diff : 0.00639145
  59. ema21_ema50_diff : -0.00957404
  60. price_ema100_diff : -0.00305543
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.184392
  64. ema_slope_21 : 0.0430642
  65. ema_slope_50 : -0.0495591
  66. ema_slope_100 : -0.0647769
  67. rsi : 0.713645
  68. adx : 0.343357
  69. kc_percentage : 1.23885
  70. kc_width_percentage : 0.0336245
  71. volume_ema_diff : -0.294887
  72. volume_ema1 : 40896.222701968
  73. volume_ema2 : 57999.605254686
  74. chop : 29.0324
  75. regime : range_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109383
  80. 5m_price_ema100_diff:
    -0.0012048
  81. 5m_price:
    109252
  82. 5m_correlation_with_coin:
    0.146569
  83. btc_indicators
  84. 15m_ema100:
    109381
  85. 15m_price_ema100_diff:
    -0.00118494
  86. 15m_price:
    109252
  87. 15m_correlation_with_coin:
    -0.113563
  88. btc_indicators
  89. 1H_ema100:
    110179
  90. 1H_price_ema100_diff:
    -0.00841861
  91. 1H_price:
    109252
  92. 1H_correlation_with_coin:
    -0.04195
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Sep 2025
07:21:54
28 Sep 2025
07:50:00
28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0896 0.09073 0.08734 2 0.02914
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 0.0896
  • Stop Loss: 0.09073
  • Take Profit: 0.08734

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09073 - 0.0896 = 0.00113

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0896 - 0.08734 = 0.00226

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00226 / 0.00113 = 2

📌 Position Size

Amount Margin Quantity Leverage
635.031 100 7087.3998 6.35
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 0.00113

Taille de position = 8 / 0.00113 = 7079.65

Taille de position USD = 7079.65 x 0.0896 = 634.34

Donc, tu peux acheter 7079.65 avec un stoploss a 0.09073

Avec un position size USD de 634.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7079.65 x 0.00113 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7079.65 x 0.00226 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 7079.65
  • Taille de position USD 634.34
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.52 % 16.02 $
SL % Target SL $ Target
1.26 % 8.01 $
PNL PNL %
-8.01 $ -1.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3728 % 108.85 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08734
            [entry_price] => 0.0896
            [stop_loss] => 0.090843
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-28 08:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08734
            [entry_price] => 0.0896
            [stop_loss] => 0.090956
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-28 08:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08734
            [entry_price] => 0.0896
            [stop_loss] => 0.091069
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-28 08:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08734
            [entry_price] => 0.0896
            [stop_loss] => 0.091295
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-28 09:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00102
            [max_drawdown] => 0.00191
            [rr_ratio] => 0.53
            [high] => 0.09151000
            [low] => 0.08858000
            [mfe_pct] => 1.14
            [mae_pct] => 2.13
            [mfe_mae_ratio] => 0.53
            [candles_analyzed] => 24
            [start_at] => 2025-09-28T07:21:54-04:00
            [end_at] => 2025-09-28T09:21:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00102
            [max_drawdown] => 0.00462
            [rr_ratio] => 0.22
            [high] => 0.09422000
            [low] => 0.08858000
            [mfe_pct] => 1.14
            [mae_pct] => 5.16
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 84
            [start_at] => 2025-09-28T07:21:54-04:00
            [end_at] => 2025-09-28T14:21:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09215000
            [high_after] => 0.09422000
            [low_before] => 0.08370000
            [low_after] => 0.08858000
            [is_new_high] => 
            [is_new_low] => 
        )

)