Short Trade on RENDER 15 Sep 2025 at 16:46:33

Take profit at 3.7396 (0.7 %) and Stop Loss at 3.7792 (0.35 %)

Short Trade on RENDER

The 15 Sep 2025 at 16:46:33

With 607.1346 RENDER at 3.766$ per unit.

Position size of 2286.4687 $

Take profit at 3.7396 (0.7 %) and Stop Loss at 3.7792 (0.35 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.3
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.59
Prediction 2 Probability
0 0.74
Prediction 3 Probability
0 0.65
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 : 0.720108

15m : -0.138367

1H : 0.003867

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.008784433827
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 3.75191
  4. ema21 : 3.79748
  5. ema50 : 3.86976
  6. ema100 : 3.91782
  7. price_ema9_diff : 0.00375382
  8. ema9_ema21_diff : -0.0120009
  9. ema21_ema50_diff : -0.0186768
  10. price_ema100_diff : -0.0387523
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.267691
  14. ema_slope_21 : -0.232859
  15. ema_slope_50 : -0.156749
  16. ema_slope_100 : -0.0953791
  17. rsi : 0.422857
  18. adx : 0.403572
  19. kc_percentage : 0.349599
  20. kc_width_percentage : 0.0492919
  21. volume_ema_diff : -0.0500613
  22. volume_ema1 : 603149.79092973
  23. volume_ema2 : 634935.53635739
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 3.74788
  28. ema21 : 3.74028
  29. ema50 : 3.76531
  30. ema100 : 3.80834
  31. price_ema9_diff : 0.00483416
  32. ema9_ema21_diff : 0.00203036
  33. ema21_ema50_diff : -0.00664742
  34. price_ema100_diff : -0.0111197
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0796514
  38. ema_slope_21 : 0.0144002
  39. ema_slope_50 : -0.0347431
  40. ema_slope_100 : -0.0413061
  41. rsi : 0.585165
  42. adx : 0.315044
  43. kc_percentage : 0.840315
  44. kc_width_percentage : 0.0202007
  45. volume_ema_diff : -0.614466
  46. volume_ema1 : 68905.842991875
  47. volume_ema2 : 178728.74527163
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 3.75922
  52. ema21 : 3.74845
  53. ema50 : 3.73729
  54. ema100 : 3.73973
  55. price_ema9_diff : 0.00180248
  56. ema9_ema21_diff : 0.00287426
  57. ema21_ema50_diff : 0.00298561
  58. price_ema100_diff : 0.00702427
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0515494
  62. ema_slope_21 : 0.0462645
  63. ema_slope_50 : 0.0266173
  64. ema_slope_100 : 0.00985558
  65. rsi : 0.676346
  66. adx : 0.260569
  67. kc_percentage : 1.02135
  68. kc_width_percentage : 0.00854541
  69. volume_ema_diff : -0.825721
  70. volume_ema1 : 8911.5818150858
  71. volume_ema2 : 51134.139433029
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114962
  77. 5m_price_ema100_diff:
    0.00151234
  78. 5m_price:
    115136
  79. 5m_correlation_with_coin:
    0.720108
  80. btc_indicators
  81. 15m_ema100:
    115203
  82. 15m_price_ema100_diff:
    -0.000587683
  83. 15m_price:
    115136
  84. 15m_correlation_with_coin:
    -0.138367
  85. btc_indicators
  86. 1H_ema100:
    115312
  87. 1H_price_ema100_diff:
    -0.00152657
  88. 1H_price:
    115136
  89. 1H_correlation_with_coin:
    0.003867
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:46:33
15 Sep 2025
17:20:00
33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.766 3.7792 3.7396 2 1.488
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 3.766
  • Stop Loss: 3.7792
  • Take Profit: 3.7396

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.7792 - 3.766 = 0.0132

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.766 - 3.7396 = 0.0264

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0264 / 0.0132 = 2

📌 Position Size

Amount Margin Quantity Leverage
2286.4687 100 607.1346 22.86
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 0.0132

Taille de position = 8 / 0.0132 = 606.06

Taille de position USD = 606.06 x 3.766 = 2282.42

Donc, tu peux acheter 606.06 avec un stoploss a 3.7792

Avec un position size USD de 2282.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 606.06 x 0.0132 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 606.06 x 0.0264 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 606.06
  • Taille de position USD 2282.42
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.7 % 16.03 $
SL % Target SL $ Target
0.35 % 8.01 $
PNL PNL %
-8.01 $ -0.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7169 % 204.54 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.7396
            [entry_price] => 3.766
            [stop_loss] => 3.78052
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 17:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.7396
            [entry_price] => 3.766
            [stop_loss] => 3.78184
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 17:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.7396
            [entry_price] => 3.766
            [stop_loss] => 3.78316
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 17:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.7396
            [entry_price] => 3.766
            [stop_loss] => 3.7858
            [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] => 0.0060000000000002
            [max_drawdown] => 0.028
            [rr_ratio] => 0.21
            [high] => 3.79400000
            [low] => 3.76000000
            [mfe_pct] => 0.16
            [mae_pct] => 0.74
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:46:33-04:00
            [end_at] => 2025-09-15T18:46:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.037
            [rr_ratio] => 0.22
            [high] => 3.80300000
            [low] => 3.75800000
            [mfe_pct] => 0.21
            [mae_pct] => 0.98
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:46:33-04:00
            [end_at] => 2025-09-15T23:46:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.76700000
            [high_after] => 3.80300000
            [low_before] => 3.67800000
            [low_after] => 3.75800000
            [is_new_high] => 
            [is_new_low] => 
        )

)