Short Trade on ETH 28 Aug 2025 at 18:29:30

Take profit at 4485.4954 (0.43 %) and Stop Loss at 4517.7698 (0.29 %)

Short Trade on ETH

The 28 Aug 2025 at 18:29:30

With 0.6197 ETH at 4504.86$ per unit.

Position size of 2791.6003 $

Take profit at 4485.4954 (0.43 %) and Stop Loss at 4517.7698 (0.29 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 110
ML Pullback Score: 4.74
Prediction Score: 0.969
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.62
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.833128

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 8.606504266
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 4495.59
  4. ema21 : 4522.61
  5. ema50 : 4546.72
  6. ema100 : 4584.3
  7. price_ema9_diff : 0.00206098
  8. ema9_ema21_diff : -0.00597556
  9. ema21_ema50_diff : -0.00530113
  10. price_ema100_diff : -0.0173301
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.457797
  14. adx : 0.23417
  15. kc_percentage : 0.406759
  16. kc_width_percentage : 0.0385927
  17. volume_ema_diff : -0.540927
  18. volume_ema1 : 301892586.30019
  19. volume_ema2 : 657614347.08415
  20. ¸
  21. 15m
  22. ema9 : 4481.63
  23. ema21 : 4485.04
  24. ema50 : 4509.7
  25. ema100 : 4526.58
  26. price_ema9_diff : 0.00518279
  27. ema9_ema21_diff : -0.000759761
  28. ema21_ema50_diff : -0.00547006
  29. price_ema100_diff : -0.00479929
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.521218
  33. adx : 0.350243
  34. kc_percentage : 0.787165
  35. kc_width_percentage : 0.0159903
  36. volume_ema_diff : -0.483019
  37. volume_ema1 : 56005244.123522
  38. volume_ema2 : 108331429.15178
  39. ¸
  40. 5m
  41. ema9 : 4495.78
  42. ema21 : 4485.46
  43. ema50 : 4482.54
  44. ema100 : 4497.26
  45. price_ema9_diff : 0.00201788
  46. ema9_ema21_diff : 0.00230199
  47. ema21_ema50_diff : 0.000650485
  48. price_ema100_diff : 0.00168891
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.679062
  52. adx : 0.260664
  53. kc_percentage : 1.08667
  54. kc_width_percentage : 0.00712237
  55. volume_ema_diff : -0.314262
  56. volume_ema1 : 19879981.679213
  57. volume_ema2 : 28990658.053362
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    112323
  62. 5m_price_ema100_diff:
    0.000158865
  63. 5m_price:
    112341
  64. 5m_correlation_with_coin:
    0.833128
  65. btc_indicators
  66. 15m_ema100:
    112320
  67. 15m_price_ema100_diff:
    -0.00107419
  68. 15m_price:
    112200
  69. btc_indicators
  70. 1H_ema100:
    111854
  71. 1H_price_ema100_diff:
    0.0043536
  72. 1H_price:
    112341
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Aug 2025
18:29:30
28 Aug 2025
20:35:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4504.86 4517.7698 4485.4954 1.5 2025.93
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 4504.86
  • Stop Loss: 4517.7698
  • Take Profit: 4485.4954

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4517.7698 - 4504.86 = 12.9098

  • Récompense (distance jusqu'au take profit):

    E - TP = 4504.86 - 4485.4954 = 19.3646

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 19.3646 / 12.9098 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2791.6003 100 0.6197 27.92
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 12.9098

Taille de position = 8 / 12.9098 = 0.62

Taille de position USD = 0.62 x 4504.86 = 2793.01

Donc, tu peux acheter 0.62 avec un stoploss a 4517.7698

Avec un position size USD de 2793.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.62 x 12.9098 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.62 x 19.3646 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 0.62
  • Taille de position USD 2793.01
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.43 % 12 $
SL % Target SL $ Target
0.29 % 8 $
PNL PNL %
12 $ 0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2249 % 78.47 % 16

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4479.0404
            [stop_loss] => 4517.7698
            [rr_ratio] => 2
            [closed_at] => 2025-08-28 20:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4472.5855
            [stop_loss] => 4517.7698
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-28 20:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 4466.1306
            [stop_loss] => 4517.7698
            [rr_ratio] => 3
            [closed_at] => 2025-08-28 21:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 4459.6757
            [stop_loss] => 4517.7698
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-28 21:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 4453.2208
            [stop_loss] => 4517.7698
            [rr_ratio] => 4
            [closed_at] => 2025-08-28 21:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 4446.7659
            [stop_loss] => 4517.7698
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-28 21:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 4440.311
            [stop_loss] => 4517.7698
            [rr_ratio] => 5
            [closed_at] => 2025-08-28 21:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 4433.8561
            [stop_loss] => 4517.7698
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-28 21:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 16.679999999999
            [max_drawdown] => 10.13
            [rr_ratio] => 1.65
            [high] => 4514.99000000
            [low] => 4488.18000000
            [mfe_pct] => 0.37
            [mae_pct] => 0.22
            [mfe_mae_ratio] => 1.65
            [candles_analyzed] => 24
            [start_at] => 2025-08-28T18:29:30-04:00
            [end_at] => 2025-08-28T20:29:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 72.089999999999
            [max_drawdown] => 10.13
            [rr_ratio] => 7.12
            [high] => 4514.99000000
            [low] => 4432.77000000
            [mfe_pct] => 1.6
            [mae_pct] => 0.22
            [mfe_mae_ratio] => 7.12
            [candles_analyzed] => 84
            [start_at] => 2025-08-28T18:29:30-04:00
            [end_at] => 2025-08-29T01:29:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4507.97000000
            [high_after] => 4514.99000000
            [low_before] => 4426.18000000
            [low_after] => 4432.77000000
            [is_new_high] => 
            [is_new_low] => 
        )

)