Trade

sell - AVAX

Status
win
2025-07-04 18:24:13
1 hour
PNL
0.45
Entry: 17.84
Last: 17.76000000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.5875
Prediction 1 Accuracy
Strong Trade
0.52
Prediction 2 Accuracy
1 0.38
ML Trade Score: 70

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.27
  4. atr: 0.03564451921
Details
  1. score: 1.27
  2. 1H
  3. ema9 - 17.7929
  4. ema21 - 17.9898
  5. ema50 - 18.1597
  6. ema100 - 18.1525
  7. price_ema9_diff - 0.0025296
  8. ema9_ema21_diff - -0.010944
  9. ema21_ema50_diff - -0.00935591
  10. price_ema100_diff - -0.0173264
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.38608
  14. kc_percentage - 0.276159
  15. kc_width_percentage - 0.0345038
  16. volume_ema_diff - -0.451288
  17. volume_ema1 - 854787.46179038
  18. volume_ema2 - 1557808.8326146
  19. ¸
  20. 15m
  21. ema9 - 17.727
  22. ema21 - 17.7192
  23. ema50 - 17.8452
  24. ema100 - 18.0528
  25. price_ema9_diff - 0.00625609
  26. ema9_ema21_diff - 0.000443446
  27. ema21_ema50_diff - -0.00705958
  28. price_ema100_diff - -0.0118991
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.574799
  32. kc_percentage - 0.957606
  33. kc_width_percentage - 0.0147854
  34. volume_ema_diff - -0.40749
  35. volume_ema1 - 195081.42305977
  36. volume_ema2 - 329246.09627034
  37. ¸
  38. 5m
  39. ema9 - 17.7665
  40. ema21 - 17.7235
  41. ema50 - 17.701
  42. ema100 - 17.7184
  43. price_ema9_diff - 0.00402048
  44. ema9_ema21_diff - 0.00242957
  45. ema21_ema50_diff - 0.0012664
  46. price_ema100_diff - 0.006746
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.698004
  50. kc_percentage - 1.27209
  51. kc_width_percentage - 0.00816047
  52. volume_ema_diff - 0.193833
  53. volume_ema1 - 105611.31905933
  54. volume_ema2 - 88464.053276016
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 107697
  59. 5m_price_ema100_diff: 0.00366018
  60. 5m_price: 108091
  61. 5m_correlation_with_coin: 0.803618
  62. btc_indicators
  63. 15m_ema100: 108440
  64. 15m_price_ema100_diff: -0.00372544
  65. 15m_price: 108036
  66. btc_indicators
  67. 1H_ema100: 108257
  68. 1H_price_ema100_diff: -0.00152655
  69. 1H_price: 108091
  70. ¸

Short Trade on AVAX

The 04 Jul 2025 at 18:24:13

With 149.6 AVAX at 17.84$ per unit.

Position size of 2669 $

Take profit at 17.76 (0.45 %) and Stop Loss at 17.89 (0.28 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -72 %

Symbol Start at Seach Score Trade Score Trades Count
SHIB 2025-07-04 18:18:46 0.971 -100 2
PYTH 2025-07-04 18:24:01 0.974 -100 2
APT 2025-07-04 18:14:57 0.9743 30 1
FIL 2025-07-04 18:23:36 0.9729 -100 1
LINK 2025-07-04 18:21:39 0.9663 -100 1
MEW 2025-07-04 18:34:18 0.9657 -100 1
ICP 2025-07-04 18:22:54 0.9656 -100 1
DOGE 2025-07-04 18:22:10 0.9655 -100 1
ZRO 2025-07-04 18:34:55 0.9647 50 1
SUI 2025-07-04 18:27:36 0.9646 -100 1

📌 Time Data

Start at Closed at Duration
04 Jul 2025
18:24:13
04 Jul 2025
19:40:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
17.84 17.89 17.76 1.6 17.85
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 17.84
  • Stop Loss: 17.89
  • Take Profit: 17.76

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 17.89 - 17.84 = 0.050000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 17.84 - 17.76 = 0.079999999999998

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.079999999999998 / 0.050000000000001 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
2669 100 149.6 26.69
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 0.050000000000001

Taille de position = 8 / 0.050000000000001 = 160

Taille de position USD = 160 x 17.84 = 2854.4

Donc, tu peux acheter 160 avec un stoploss a 17.89

Avec un position size USD de 2854.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 160 x 0.050000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 160 x 0.079999999999998 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position 160
  • Taille de position USD 2854.4
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.45 % 12 $
SL % Target SL $ Target
0.28 % 7.5 $
PNL PNL %
12 $ 0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2354 % 83.98 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 17.74
            [stop_loss] => 17.89
            [rr_ratio] => 2
            [closed_at] => 2025-07-04 21:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 17.715
            [stop_loss] => 17.89
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-04 21:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 17.69
            [stop_loss] => 17.89
            [rr_ratio] => 3
            [closed_at] => 2025-07-04 21:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 17.665
            [stop_loss] => 17.89
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-04 22:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)