Short Trade on BTR 30 Sep 2025 at 12:36:43

Take profit at 0.07594 (3.57 %) and Stop Loss at 0.08015 (1.78 %)

Short Trade on BTR

The 30 Sep 2025 at 12:36:43

With 5699.3175 BTR at 0.07875$ per unit.

Position size of 448.8213 $

Take profit at 0.07594 (3.57 %) and Stop Loss at 0.08015 (1.78 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.18
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.72
Prediction 2 Probability
1 0.55
Prediction 3 Probability
0 0.83
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_high

BTC Correlation Score

5m : 0.144195

15m : -0.033674

1H : -0.063929

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0009357845558
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.0773234
  4. ema21 : 0.0797303
  5. ema50 : 0.0839543
  6. ema100 : 0.0881578
  7. price_ema9_diff : 0.0184494
  8. ema9_ema21_diff : -0.0301878
  9. ema21_ema50_diff : -0.0503133
  10. price_ema100_diff : -0.106716
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.569827
  14. ema_slope_21 : -0.464793
  15. ema_slope_50 : -0.351912
  16. ema_slope_100 : -0.249754
  17. rsi : 0.445247
  18. adx : 0.197229
  19. kc_percentage : 0.430658
  20. kc_width_percentage : 0.146141
  21. volume_ema_diff : 0.300372
  22. volume_ema1 : 452712.61727754
  23. volume_ema2 : 348140.60488895
  24. chop : 37.0851
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0764496
  29. ema21 : 0.0760032
  30. ema50 : 0.0779405
  31. ema100 : 0.0805769
  32. price_ema9_diff : 0.0300895
  33. ema9_ema21_diff : 0.00587408
  34. ema21_ema50_diff : -0.0248565
  35. price_ema100_diff : -0.0226727
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.157034
  39. ema_slope_21 : -0.106672
  40. ema_slope_50 : -0.183972
  41. ema_slope_100 : -0.155638
  42. rsi : 0.611315
  43. adx : 0.498301
  44. kc_percentage : 0.938432
  45. kc_width_percentage : 0.080713
  46. volume_ema_diff : 0.070722
  47. volume_ema1 : 122348.87423345
  48. volume_ema2 : 114267.63217327
  49. chop : 29.5459
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.078123
  54. ema21 : 0.0765485
  55. ema50 : 0.0756933
  56. ema100 : 0.0767199
  57. price_ema9_diff : 0.00802563
  58. ema9_ema21_diff : 0.0205675
  59. ema21_ema50_diff : 0.0112991
  60. price_ema100_diff : 0.0264603
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.682409
  64. ema_slope_21 : 0.4449
  65. ema_slope_50 : 0.177144
  66. ema_slope_100 : 0.0440152
  67. rsi : 0.688951
  68. adx : 0.491901
  69. kc_percentage : 1.057
  70. kc_width_percentage : 0.0480396
  71. volume_ema_diff : -0.255287
  72. volume_ema1 : 32874.337766133
  73. volume_ema2 : 44143.641638658
  74. chop : 20.3905
  75. regime : bull_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113143
  80. 5m_price_ema100_diff:
    -0.0020904
  81. 5m_price:
    112907
  82. 5m_correlation_with_coin:
    0.144195
  83. btc_indicators
  84. 15m_ema100:
    113541
  85. 15m_price_ema100_diff:
    -0.00563452
  86. 15m_price:
    112901
  87. 15m_correlation_with_coin:
    -0.033674
  88. btc_indicators
  89. 1H_ema100:
    111681
  90. 1H_price_ema100_diff:
    0.0109723
  91. 1H_price:
    112907
  92. 1H_correlation_with_coin:
    -0.063929
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
12:36:43
30 Sep 2025
12:55:00
18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07875 0.08015 0.07594 2.01 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 0.07875
  • Stop Loss: 0.08015
  • Take Profit: 0.07594

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08015 - 0.07875 = 0.0014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07875 - 0.07594 = 0.00281

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00281 / 0.0014 = 2.0071

📌 Position Size

Amount Margin Quantity Leverage
448.8213 100 5699.3175 4.49
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 0.0014

Taille de position = 8 / 0.0014 = 5714.29

Taille de position USD = 5714.29 x 0.07875 = 450

Donc, tu peux acheter 5714.29 avec un stoploss a 0.08015

Avec un position size USD de 450$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5714.29 x 0.0014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5714.29 x 0.00281 = 16.06

Si Take Profit atteint, tu gagneras 16.06$

Résumé

  • Taille de position 5714.29
  • Taille de position USD 450
  • Perte potentielle 8
  • Gain potentiel 16.06
  • Risk-Reward Ratio 2.0071

📌 Peformances

TP % Target TP $ Target
3.57 % 16.02 $
SL % Target SL $ Target
1.78 % 7.98 $
PNL PNL %
-7.98 $ -1.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.019 % 113.57 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07594
            [entry_price] => 0.07875
            [stop_loss] => 0.08029
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 12:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07594
            [entry_price] => 0.07875
            [stop_loss] => 0.08043
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 13:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07594
            [entry_price] => 0.07875
            [stop_loss] => 0.08057
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 13:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07594
            [entry_price] => 0.07875
            [stop_loss] => 0.08085
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 13:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00039
            [max_drawdown] => 0.00507
            [rr_ratio] => 0.08
            [high] => 0.08382000
            [low] => 0.07836000
            [mfe_pct] => 0.5
            [mae_pct] => 6.44
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T12:36:43-04:00
            [end_at] => 2025-09-30T14:36:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00116
            [max_drawdown] => 0.00617
            [rr_ratio] => 0.19
            [high] => 0.08492000
            [low] => 0.07759000
            [mfe_pct] => 1.47
            [mae_pct] => 7.83
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T12:36:43-04:00
            [end_at] => 2025-09-30T19:36:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07955000
            [high_after] => 0.08492000
            [low_before] => 0.07118000
            [low_after] => 0.07836000
            [is_new_high] => 
            [is_new_low] => 
        )

)