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Short Trade on RENDER

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Short Trade on RENDER 15 Sep 2025 at 16:56:55

Take profit at 3.7437 (0.67 %) and Stop Loss at 3.7817 (0.34 %)

Short Trade on RENDER

The 15 Sep 2025 at 16:56:55

With 631.2695 RENDER at 3.769$ per unit.

Position size of 2379.2546 $

Take profit at 3.7437 (0.67 %) and Stop Loss at 3.7817 (0.34 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.48
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.5
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.72
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.724118

15m : 0.023431

1H : -0.033191

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.008448584534
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 3.75251
  4. ema21 : 3.79776
  5. ema50 : 3.86988
  6. ema100 : 3.91788
  7. price_ema9_diff : 0.00439279
  8. ema9_ema21_diff : -0.0119139
  9. ema21_ema50_diff : -0.0186362
  10. price_ema100_diff : -0.0380011
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.266401
  14. ema_slope_21 : -0.232277
  15. ema_slope_50 : -0.156501
  16. ema_slope_100 : -0.0952542
  17. rsi : 0.42766
  18. adx : 0.40133
  19. kc_percentage : 0.365954
  20. kc_width_percentage : 0.0498895
  21. volume_ema_diff : -0.0416909
  22. volume_ema1 : 609139.79418637
  23. volume_ema2 : 635640.24262288
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 3.74728
  27. ema21 : 3.74001
  28. ema50 : 3.76519
  29. ema100 : 3.80828
  30. price_ema9_diff : 0.00579563
  31. ema9_ema21_diff : 0.00194301
  32. ema21_ema50_diff : -0.00668882
  33. price_ema100_diff : -0.0103165
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0783045
  37. ema_slope_21 : 0.0137915
  38. ema_slope_50 : -0.0350024
  39. ema_slope_100 : -0.0414354
  40. rsi : 0.574284
  41. adx : 0.315672
  42. kc_percentage : 0.881499
  43. kc_width_percentage : 0.0202907
  44. volume_ema_diff : -0.610773
  45. volume_ema1 : 69597.554019249
  46. volume_ema2 : 178810.12303955
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 3.76219
  50. ema21 : 3.7517
  51. ema50 : 3.73958
  52. ema100 : 3.74079
  53. price_ema9_diff : 0.00180761
  54. ema9_ema21_diff : 0.0027963
  55. ema21_ema50_diff : 0.00324302
  56. price_ema100_diff : 0.00754076
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0542359
  60. ema_slope_21 : 0.0483801
  61. ema_slope_50 : 0.0290541
  62. ema_slope_100 : 0.0117537
  63. rsi : 0.682379
  64. adx : 0.282178
  65. kc_percentage : 1.03549
  66. kc_width_percentage : 0.00818033
  67. volume_ema_diff : -0.824985
  68. volume_ema1 : 8351.0833575329
  69. volume_ema2 : 47716.508437787
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114975
  74. 5m_price_ema100_diff: 
    0.00233596
  75. 5m_price: 
    115244
  76. 5m_correlation_with_coin: 
    0.724118
  77. btc_indicators
  78. 15m_ema100: 
    115205
  79. 15m_price_ema100_diff: 
    5.98042E-5
  80. 15m_price: 
    115212
  81. 15m_correlation_with_coin: 
    0.023431
  82. btc_indicators
  83. 1H_ema100: 
    115314
  84. 1H_price_ema100_diff: 
    -0.000608524
  85. 1H_price: 
    115244
  86. 1H_correlation_with_coin: 
    -0.033191
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:56:55		 15 Sep 2025
17:20:00		 23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.769 3.7817 3.7437 1.99 1.439
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 3.769
  • Stop Loss: 3.7817
  • Take Profit: 3.7437

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.7817 - 3.769 = 0.0127

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.769 - 3.7437 = 0.0253

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0253 / 0.0127 = 1.9921

📌 Position Size

Amount Margin Quantity Leverage
2379.2546 100 631.2695 23.79
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 0.0127

Taille de position = 8 / 0.0127 = 629.92

Taille de position USD = 629.92 x 3.769 = 2374.17

Donc, tu peux acheter 629.92 avec un stoploss a 3.7817

Avec un position size USD de 2374.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 629.92 x 0.0127 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 629.92 x 0.0253 = 15.94

Si Take Profit atteint, tu gagneras 15.94$

Résumé

  • Taille de position 629.92
  • Taille de position USD 2374.17
  • Perte potentielle 8
  • Gain potentiel 15.94
  • Risk-Reward Ratio 1.9921

📌 Peformances

TP % Target TP $ Target
0.67 % 15.97 $
SL % Target SL $ Target
0.34 % 8.02 $
PNL PNL %
-8.02 $ -0.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6368 % 188.96 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.7437
            [entry_price] => 3.769
            [stop_loss] => 3.78297
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 17:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.7437
            [entry_price] => 3.769
            [stop_loss] => 3.78424
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 17:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.7437
            [entry_price] => 3.769
            [stop_loss] => 3.78551
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 17:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.7437
            [entry_price] => 3.769
            [stop_loss] => 3.78805
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 17:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0090000000000003
            [max_drawdown] => 0.025
            [rr_ratio] => 0.36
            [high] => 3.79400000
            [low] => 3.76000000
            [mfe_pct] => 0.24
            [mae_pct] => 0.66
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:56:55-04:00
            [end_at] => 2025-09-15T18:56:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.034
            [rr_ratio] => 0.32
            [high] => 3.80300000
            [low] => 3.75800000
            [mfe_pct] => 0.29
            [mae_pct] => 0.9
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:56:55-04:00
            [end_at] => 2025-09-15T23:56:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.77200000
            [high_after] => 3.80300000
            [low_before] => 3.68200000
            [low_after] => 3.75800000
            [is_new_high] => 
            [is_new_low] => 
        )

)