Short Trade on AVAX 21 Jun 2025 at 16:14:28

Take profit at 16.8718 (0.93 %) and Stop Loss at 17.1371 (0.62 %)

Short Trade on AVAX

The 21 Jun 2025 at 16:14:28

With 75.3818 AVAX at 17.031$ per unit.

Position size of 1283.8266 $

Take profit at 16.8718 (0.93 %) and Stop Loss at 17.1371 (0.62 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 10
Prediction Score: 0.7222
Prediction 1 Probability
Weak Trade
0.59
Prediction 2 Probability
0 0.53
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.746511

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.07075098735
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 17.0411
  4. ema21 : 17.2504
  5. ema50 : 17.5377
  6. ema100 : 17.7888
  7. price_ema9_diff : -0.000593355
  8. ema9_ema21_diff : -0.0121377
  9. ema21_ema50_diff : -0.016378
  10. price_ema100_diff : -0.0426028
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.381799
  14. kc_percentage : 0.233402
  15. kc_width_percentage : 0.0452575
  16. volume_ema_diff : 0.23319
  17. volume_ema1 : 1740587.9787992
  18. volume_ema2 : 1411450.5000973
  19. ¸
  20. 15m
  21. ema9 : 16.9015
  22. ema21 : 16.9837
  23. ema50 : 17.1538
  24. ema100 : 17.2588
  25. price_ema9_diff : 0.00765608
  26. ema9_ema21_diff : -0.00483465
  27. ema21_ema50_diff : -0.00991738
  28. price_ema100_diff : -0.0132034
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.501516
  32. kc_percentage : 0.608358
  33. kc_width_percentage : 0.029806
  34. volume_ema_diff : 0.221818
  35. volume_ema1 : 558227.31887159
  36. volume_ema2 : 456882.34492844
  37. ¸
  38. 5m
  39. ema9 : 16.876
  40. ema21 : 16.8715
  41. ema50 : 16.9414
  42. ema100 : 17.0749
  43. price_ema9_diff : 0.00918433
  44. ema9_ema21_diff : 0.000263375
  45. ema21_ema50_diff : -0.00412427
  46. price_ema100_diff : -0.0025725
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.626636
  50. kc_percentage : 1.04873
  51. kc_width_percentage : 0.0171993
  52. volume_ema_diff : -0.234796
  53. volume_ema1 : 149380.77981649
  54. volume_ema2 : 195217.15537806
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    103199
  59. 5m_price_ema100_diff:
    -0.00752919
  60. 5m_price:
    102422
  61. 5m_correlation_with_coin:
    0.746511
  62. btc_indicators
  63. 15m_ema100:
    103316
  64. 15m_price_ema100_diff:
    -0.00865537
  65. 15m_price:
    102422
  66. btc_indicators
  67. 1H_ema100:
    103989
  68. 1H_price_ema100_diff:
    -0.0150731
  69. 1H_price:
    102422
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
21 Jun 2025
16:14:28
21 Jun 2025
17:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
17.031 17.1371 16.8718 1.5 9.191
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 17.031
  • Stop Loss: 17.1371
  • Take Profit: 16.8718

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 17.1371 - 17.031 = 0.1061

  • Récompense (distance jusqu'au take profit):

    E - TP = 17.031 - 16.8718 = 0.1592

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1592 / 0.1061 = 1.5005

📌 Position Size

Amount Margin Quantity Leverage
1283.8266 100 75.3818 12.84
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 0.1061

Taille de position = 8 / 0.1061 = 75.4

Taille de position USD = 75.4 x 17.031 = 1284.14

Donc, tu peux acheter 75.4 avec un stoploss a 17.1371

Avec un position size USD de 1284.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 75.4 x 0.1061 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 75.4 x 0.1592 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 75.4
  • Taille de position USD 1284.14
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5005

📌 Peformances

TP % Target TP $ Target
0.93 % 12 $
SL % Target SL $ Target
0.62 % 8 $
PNL PNL %
12.06 $ 0.94
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4228 % 65.46 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 16.81
            [stop_loss] => 17.14
            [rr_ratio] => 2
            [closed_at] => 2025-06-21 17:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 16.755
            [stop_loss] => 17.14
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-21 17:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 16.7
            [stop_loss] => 17.14
            [rr_ratio] => 3
            [closed_at] => 2025-06-21 17:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 16.645
            [stop_loss] => 17.14
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-21 17:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 16.59
            [stop_loss] => 17.14
            [rr_ratio] => 4
            [closed_at] => 2025-06-21 17:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 16.535
            [stop_loss] => 17.14
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-21 17:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 16.48
            [stop_loss] => 17.14
            [rr_ratio] => 5
            [closed_at] => 2025-06-21 17:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 16.425
            [stop_loss] => 17.14
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-21 17:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 16.37
            [stop_loss] => 17.14
            [rr_ratio] => 6
            [closed_at] => 2025-06-21 17:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 16.315
            [stop_loss] => 17.14
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-21 17:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.73
            [max_drawdown] => 0.071000000000002
            [rr_ratio] => 10.28
            [high] => 17.10200000
            [low] => 16.30100000
            [mfe_pct] => 4.29
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 10.28
            [candles_analyzed] => 24
            [start_at] => 2025-06-21T16:14:28-04:00
            [end_at] => 2025-06-21T18:14:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.73
            [max_drawdown] => 0.071000000000002
            [rr_ratio] => 10.28
            [high] => 17.10200000
            [low] => 16.30100000
            [mfe_pct] => 4.29
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 10.28
            [candles_analyzed] => 72
            [start_at] => 2025-06-21T16:14:28-04:00
            [end_at] => 2025-06-21T22:14:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 17.17600000
            [high_after] => 17.10200000
            [low_before] => 16.75100000
            [low_after] => 16.30100000
            [is_new_high] => 
            [is_new_low] => 1
        )

)