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Short Trade on AVAX

Short Trade on AVAX

The 29 Aug 2025 at 17:52:00

With 77.6878 AVAX at 23.583$ per unit.

Position size of 1832.1124 $

Take profit at 23.4285 (0.66 %) and Stop Loss at 23.686 (0.44 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 90
ML Pullback Score: 8.21
Prediction Score: 2.6194
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.84
Market Regime Score BTC Correlation

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low

 3

5m : 0.736008

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.06865080966
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 23.5456
  4. ema21 - 23.8446
  5. ema50 - 24.1372
  6. ema100 - 24.175
  7. price_ema9_diff - 0.00158434
  8. ema9_ema21_diff - -0.0125364
  9. ema21_ema50_diff - -0.0121233
  10. price_ema100_diff - -0.0244902
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.423094
  14. adx - 0.163456
  15. kc_percentage - 0.328558
  16. kc_width_percentage - 0.0596546
  17. volume_ema_diff - -0.446877
  18. volume_ema1 - 3021987.6358372
  19. volume_ema2 - 5463501.8691358
    20. ¸
  20. 15m
  21. ema9 - 23.4431
  22. ema21 - 23.4543
  23. ema50 - 23.6476
  24. ema100 - 23.91
  25. price_ema9_diff - 0.00596474
  26. ema9_ema21_diff - -0.00047835
  27. ema21_ema50_diff - -0.00817248
  28. price_ema100_diff - -0.0136772
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.5517
  32. adx - 0.256788
  33. kc_percentage - 0.740353
  34. kc_width_percentage - 0.0234489
  35. volume_ema_diff - -0.630948
  36. volume_ema1 - 433469.12111969
  37. volume_ema2 - 1174547.9525466
    38. ¸
  38. 5m
  39. ema9 - 23.4831
  40. ema21 - 23.4258
  41. ema50 - 23.4222
  42. ema100 - 23.4844
  43. price_ema9_diff - 0.00425132
  44. ema9_ema21_diff - 0.00244486
  45. ema21_ema50_diff - 0.000156196
  46. price_ema100_diff - 0.00419661
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.677778
  50. adx - 0.196165
  51. kc_percentage - 1.08606
  52. kc_width_percentage - 0.0112094
  53. volume_ema_diff - -0.464223
  54. volume_ema1 - 127133.42054469
  55. volume_ema2 - 237287.95447352
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108405
  59. 5m_price_ema100_diff: -0.00047774
  60. 5m_price: 108354
  61. 5m_correlation_with_coin: 0.736008
  62. btc_indicators
  63. 15m_ema100: 109730
  64. 15m_price_ema100_diff: -0.0123677
  65. 15m_price: 108373
  66. btc_indicators
  67. 1H_ema100: 111058
  68. 1H_price_ema100_diff: -0.0243503
  69. 1H_price: 108354
    70. ¸

📌 Time Data

Start at Closed at Duration
29 Aug 2025
17:52:00		 29 Aug 2025
18:10:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
23.583 23.686 23.4285 1.5 24.499
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 23.583
  • Stop Loss: 23.686
  • Take Profit: 23.4285

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 23.686 - 23.583 = 0.103

  • Récompense (distance jusqu'au take profit):

    E - TP = 23.583 - 23.4285 = 0.1545

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1545 / 0.103 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1832.1124 100 77.6878 18.32
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 0.103

Taille de position = 8 / 0.103 = 77.67

Taille de position USD = 77.67 x 23.583 = 1831.69

Donc, tu peux acheter 77.67 avec un stoploss a 23.686

Avec un position size USD de 1831.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 77.67 x 0.103 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 77.67 x 0.1545 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 77.67
  • Taille de position USD 1831.69
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.66 % 12 $
SL % Target SL $ Target
0.44 % 8 $
PNL PNL %
12 $ 0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 23.377
            [stop_loss] => 23.686
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 20:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 23.3255
            [stop_loss] => 23.686
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 21:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 23.274
            [stop_loss] => 23.686
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 21:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 23.2225
            [stop_loss] => 23.686
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 23.171
            [stop_loss] => 23.686
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 23.1195
            [stop_loss] => 23.686
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 23.068
            [stop_loss] => 23.686
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 23:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 23.0165
            [stop_loss] => 23.686
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 23:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 22.965
            [stop_loss] => 23.686
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 23:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 22.9135
            [stop_loss] => 23.686
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 23:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 22.862
            [stop_loss] => 23.686
            [rr_ratio] => 7
            [closed_at] => 2025-08-29 23:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.167
            [max_drawdown] => 0.033000000000001
            [rr_ratio] => 5.06
            [high] => 23.61600000
            [low] => 23.41600000
            [mfe_pct] => 0.71
            [mae_pct] => 0.14
            [mfe_mae_ratio] => 5.06
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T17:52:00-04:00
            [end_at] => 2025-08-29T19:52:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.49
            [max_drawdown] => 0.133
            [rr_ratio] => 3.68
            [high] => 23.71600000
            [low] => 23.09300000
            [mfe_pct] => 2.08
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 3.68
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T17:52:00-04:00
            [end_at] => 2025-08-30T00:52:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 23.59100000
            [high_after] => 23.71600000
            [low_before] => 23.19200000
            [low_after] => 23.09300000
            [is_new_high] => 
            [is_new_low] => 1
        )

)