Short Trade on ETH 28 Aug 2025 at 18:23:01

Take profit at 4487.1623 (0.44 %) and Stop Loss at 4520.4918 (0.3 %)

Short Trade on ETH

The 28 Aug 2025 at 18:23:01

With 0.6001 ETH at 4507.16$ per unit.

Position size of 2704.6124 $

Take profit at 4487.1623 (0.44 %) and Stop Loss at 4520.4918 (0.3 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 110
ML Pullback Score: 5.84
Prediction Score: -0.0146
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.56
Prediction 3 Probability
0 0.61
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.830673

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 8.887849031
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 4496.05
  4. ema21 : 4522.82
  5. ema50 : 4546.81
  6. ema100 : 4584.35
  7. price_ema9_diff : 0.00247002
  8. ema9_ema21_diff : -0.0059198
  9. ema21_ema50_diff : -0.00527488
  10. price_ema100_diff : -0.0168381
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.461647
  14. adx : 0.234258
  15. kc_percentage : 0.418682
  16. kc_width_percentage : 0.0385508
  17. volume_ema_diff : -0.544784
  18. volume_ema1 : 299212890.66273
  19. volume_ema2 : 657299088.77386
  20. ¸
  21. 15m
  22. ema9 : 4481.63
  23. ema21 : 4485.04
  24. ema50 : 4509.7
  25. ema100 : 4526.58
  26. price_ema9_diff : 0.005696
  27. ema9_ema21_diff : -0.000759761
  28. ema21_ema50_diff : -0.00547006
  29. price_ema100_diff : -0.00429118
  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 : 0.819094
  35. kc_width_percentage : 0.0159822
  36. volume_ema_diff : -0.483019
  37. volume_ema1 : 56005244.123522
  38. volume_ema2 : 108331429.15178
  39. ¸
  40. 5m
  41. ema9 : 4493.49
  42. ema21 : 4483.51
  43. ema50 : 4481.61
  44. ema100 : 4497.02
  45. price_ema9_diff : 0.00304083
  46. ema9_ema21_diff : 0.00222687
  47. ema21_ema50_diff : 0.00042234
  48. price_ema100_diff : 0.00225475
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.704408
  52. adx : 0.249197
  53. kc_percentage : 1.19102
  54. kc_width_percentage : 0.0074221
  55. volume_ema_diff : -0.101859
  56. volume_ema1 : 26469967.921486
  57. volume_ema2 : 29471953.873433
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    112310
  62. 5m_price_ema100_diff:
    6.55819E-5
  63. 5m_price:
    112317
  64. 5m_correlation_with_coin:
    0.830673
  65. btc_indicators
  66. 15m_ema100:
    112320
  67. 15m_price_ema100_diff:
    -0.00107419
  68. 15m_price:
    112200
  69. btc_indicators
  70. 1H_ema100:
    111853
  71. 1H_price_ema100_diff:
    0.00414943
  72. 1H_price:
    112317
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Aug 2025
18:23:01
28 Aug 2025
20:35:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4507.16 4520.4918 4487.1623 1.5 2006.81
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 4507.16
  • Stop Loss: 4520.4918
  • Take Profit: 4487.1623

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4520.4918 - 4507.16 = 13.3318

  • Récompense (distance jusqu'au take profit):

    E - TP = 4507.16 - 4487.1623 = 19.9977

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 19.9977 / 13.3318 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2704.6124 100 0.6001 27.05
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 13.3318

Taille de position = 8 / 13.3318 = 0.6

Taille de position USD = 0.6 x 4507.16 = 2704.3

Donc, tu peux acheter 0.6 avec un stoploss a 4520.4918

Avec un position size USD de 2704.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.6 x 13.3318 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.6 x 19.9977 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 0.6
  • Taille de position USD 2704.3
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.44 % 12 $
SL % Target SL $ Target
0.3 % 8 $
PNL PNL %
12 $ 0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1737 % 58.72 % 16

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4480.4964
            [stop_loss] => 4520.4918
            [rr_ratio] => 2
            [closed_at] => 2025-08-28 20:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4473.8305
            [stop_loss] => 4520.4918
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-28 20:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 4467.1646
            [stop_loss] => 4520.4918
            [rr_ratio] => 3
            [closed_at] => 2025-08-28 20:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 4460.4987
            [stop_loss] => 4520.4918
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-28 21:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 4453.8328
            [stop_loss] => 4520.4918
            [rr_ratio] => 4
            [closed_at] => 2025-08-28 21:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 4447.1669
            [stop_loss] => 4520.4918
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-28 21:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 4440.501
            [stop_loss] => 4520.4918
            [rr_ratio] => 5
            [closed_at] => 2025-08-28 21:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 4433.8351
            [stop_loss] => 4520.4918
            [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] => 18.98
            [max_drawdown] => 7.8299999999999
            [rr_ratio] => 2.42
            [high] => 4514.99000000
            [low] => 4488.18000000
            [mfe_pct] => 0.42
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 2.42
            [candles_analyzed] => 24
            [start_at] => 2025-08-28T18:23:01-04:00
            [end_at] => 2025-08-28T20:23:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 74.389999999999
            [max_drawdown] => 7.8299999999999
            [rr_ratio] => 9.5
            [high] => 4514.99000000
            [low] => 4432.77000000
            [mfe_pct] => 1.65
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 9.5
            [candles_analyzed] => 84
            [start_at] => 2025-08-28T18:23:01-04:00
            [end_at] => 2025-08-29T01:23:01-04:00
        )

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

)