Short Trade on RED 10 Sep 2025 at 18:26:45

Take profit at 0.6315 (0.63 %) and Stop Loss at 0.6375 (0.31 %)

Short Trade on RED

The 10 Sep 2025 at 18:26:45

With 3952.3913 RED at 0.6355$ per unit.

Position size of 2511.7447 $

Take profit at 0.6315 (0.63 %) and Stop Loss at 0.6375 (0.31 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.38
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.65
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.298976

15m : -0.046313

1H : 0.016171

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.001349394057
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 0.635404
  4. ema21 : 0.640952
  5. ema50 : 0.651797
  6. ema100 : 0.659007
  7. price_ema9_diff : 0.000149954
  8. ema9_ema21_diff : -0.00865602
  9. ema21_ema50_diff : -0.0166385
  10. price_ema100_diff : -0.035671
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.160174
  14. ema_slope_21 : -0.125974
  15. ema_slope_50 : -0.111875
  16. ema_slope_100 : -0.0720934
  17. rsi : 0.413918
  18. adx : 0.213758
  19. kc_percentage : 0.314833
  20. kc_width_percentage : 0.0428023
  21. volume_ema_diff : -0.731047
  22. volume_ema1 : 226111.7720206
  23. volume_ema2 : 840713.32492285
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.631815
  28. ema21 : 0.632622
  29. ema50 : 0.637195
  30. ema100 : 0.641491
  31. price_ema9_diff : 0.00583229
  32. ema9_ema21_diff : -0.00127676
  33. ema21_ema50_diff : -0.00717585
  34. price_ema100_diff : -0.00933934
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00789697
  38. ema_slope_21 : -0.0535487
  39. ema_slope_50 : -0.0561223
  40. ema_slope_100 : -0.0403379
  41. rsi : 0.522146
  42. adx : 0.319262
  43. kc_percentage : 0.784705
  44. kc_width_percentage : 0.0167801
  45. volume_ema_diff : -0.81603
  46. volume_ema1 : 18616.487751389
  47. volume_ema2 : 101193.29556715
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.633535
  52. ema21 : 0.6319
  53. ema50 : 0.631817
  54. ema100 : 0.634692
  55. price_ema9_diff : 0.00310083
  56. ema9_ema21_diff : 0.00258678
  57. ema21_ema50_diff : 0.00013258
  58. price_ema100_diff : 0.00127155
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.056326
  62. ema_slope_21 : 0.038223
  63. ema_slope_50 : 0.00934148
  64. ema_slope_100 : -0.00651758
  65. rsi : 0.702439
  66. adx : 0.306845
  67. kc_percentage : 1.16988
  68. kc_width_percentage : 0.00825109
  69. volume_ema_diff : -0.668186
  70. volume_ema1 : 6700.4058370214
  71. volume_ema2 : 20193.302854565
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113696
  77. 5m_price_ema100_diff:
    0.00161879
  78. 5m_price:
    113880
  79. 5m_correlation_with_coin:
    0.298976
  80. btc_indicators
  81. 15m_ema100:
    112794
  82. 15m_price_ema100_diff:
    0.00983502
  83. 15m_price:
    113904
  84. 15m_correlation_with_coin:
    -0.046313
  85. btc_indicators
  86. 1H_ema100:
    111834
  87. 1H_price_ema100_diff:
    0.0182913
  88. 1H_price:
    113880
  89. 1H_correlation_with_coin:
    0.016171
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
18:26:45
10 Sep 2025
18:45:00
18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6355 0.6375 0.6315 2 0.1861
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 0.6355
  • Stop Loss: 0.6375
  • Take Profit: 0.6315

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6375 - 0.6355 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6355 - 0.6315 = 0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.004 / 0.002 = 2

📌 Position Size

Amount Margin Quantity Leverage
2511.7447 100 3952.3913 25.12
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.6355 = 2542

Donc, tu peux acheter 4000 avec un stoploss a 0.6375

Avec un position size USD de 2542$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.004 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4000
  • Taille de position USD 2542
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.63 % 15.81 $
SL % Target SL $ Target
0.31 % 7.9 $
PNL PNL %
-7.9 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3619 % 115 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.6315
            [entry_price] => 0.6355
            [stop_loss] => 0.6377
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 18:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.6315
            [entry_price] => 0.6355
            [stop_loss] => 0.6379
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 18:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.6315
            [entry_price] => 0.6355
            [stop_loss] => 0.6381
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 18:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.6315
            [entry_price] => 0.6355
            [stop_loss] => 0.6385
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 19:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0076999999999999
            [max_drawdown] => 0.0039
            [rr_ratio] => 1.97
            [high] => 0.63940000
            [low] => 0.62780000
            [mfe_pct] => 1.21
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 1.97
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T18:26:45-04:00
            [end_at] => 2025-09-10T20:26:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0117
            [max_drawdown] => 0.0039
            [rr_ratio] => 3
            [high] => 0.63940000
            [low] => 0.62380000
            [mfe_pct] => 1.84
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 3
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T18:26:45-04:00
            [end_at] => 2025-09-11T01:26:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.63610000
            [high_after] => 0.63940000
            [low_before] => 0.62200000
            [low_after] => 0.62380000
            [is_new_high] => 
            [is_new_low] => 
        )

)