Trade

buy - AVAX

Status
win
2025-08-17 12:52:58
27 minutes
PNL
0.75
Entry: 24.957
Last: 25.14330000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.6617
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.61
Prediction 3 Probability
1 0.54
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.08281705538
Details
  1. score: 2.09
  2. 1H
  3. ema9 - 24.9037
  4. ema21 - 24.6456
  5. ema50 - 24.4243
  6. ema100 - 24.4769
  7. price_ema9_diff - 0.00213757
  8. ema9_ema21_diff - 0.0104734
  9. ema21_ema50_diff - 0.0090601
  10. price_ema100_diff - 0.0196129
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.587626
  14. adx - 0.314735
  15. kc_percentage - 0.75611
  16. kc_width_percentage - 0.0460857
  17. volume_ema_diff - 0.833101
  18. volume_ema1 - 5606273.396512
  19. volume_ema2 - 3058354.3003983
  20. ¸
  21. 15m
  22. ema9 - 25.1305
  23. ema21 - 25.0105
  24. ema50 - 24.7979
  25. ema100 - 24.5954
  26. price_ema9_diff - -0.00690783
  27. ema9_ema21_diff - 0.00480013
  28. ema21_ema50_diff - 0.00857256
  29. price_ema100_diff - 0.014701
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.541036
  33. adx - 0.407168
  34. kc_percentage - 0.369462
  35. kc_width_percentage - 0.0193544
  36. volume_ema_diff - 0.30603
  37. volume_ema1 - 1305975.9313261
  38. volume_ema2 - 999958.07096678
  39. ¸
  40. 5m
  41. ema9 - 25.1205
  42. ema21 - 25.1569
  43. ema50 - 25.0555
  44. ema100 - 24.9241
  45. price_ema9_diff - -0.00651172
  46. ema9_ema21_diff - -0.00144558
  47. ema21_ema50_diff - 0.00404525
  48. price_ema100_diff - 0.0013183
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.350315
  52. adx - 0.367776
  53. kc_percentage - -0.086528
  54. kc_width_percentage - 0.0137683
  55. volume_ema_diff - -0.124093
  56. volume_ema1 - 437985.81804337
  57. volume_ema2 - 500036.99002893
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 118141
  62. 5m_price_ema100_diff: -0.00243763
  63. 5m_price: 117853
  64. 5m_correlation_with_coin: 0.493723
  65. btc_indicators
  66. 15m_ema100: 117924
  67. 15m_price_ema100_diff: -4.12395E-5
  68. 15m_price: 117919
  69. btc_indicators
  70. 1H_ema100: 118725
  71. 1H_price_ema100_diff: -0.00734298
  72. 1H_price: 117853
  73. ¸

Long Trade on AVAX

The 17 Aug 2025 at 12:52:58

With 64.399 AVAX at 24.957$ per unit.

Position size of 1607.2052 $

Take profit at 25.1433 (0.75 %) and Stop Loss at 24.8328 (0.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -48.03 %

Symbol Start at Seach Score Trade Score Trades Count
ETC 2025-08-17 12:52:27 0.9654 -100 1
ENS 2025-08-17 12:53:21 0.9515 -100 1
HBAR 2025-08-17 12:53:39 0.9416 -100 1
SHIB 2025-04-24 22:48:50 0.9384 96.67 3
ONDO 2025-05-08 23:59:31 0.9391 40 1
TIA 2025-08-17 12:54:24 0.9373 -100 1
JTO 2025-07-21 12:06:00 0.9367 -100 1
RENDER 2025-04-17 15:01:38 0.9363 -100 1
SEI 2025-08-17 12:54:15 0.9347 -100 1
AI16Z 2025-07-16 15:33:33 0.9344 70 1
MEW 2025-05-08 23:53:43 0.9328 -35 2

📌 Time Data

Start at Closed at Duration
17 Aug 2025
12:52:58
17 Aug 2025
13:20:00
27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
24.957 24.8328 25.1433 1.5 25.819
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 24.957
  • Stop Loss: 24.8328
  • Take Profit: 25.1433

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 24.8328 - 24.957 = -0.1242

  • Récompense (distance jusqu'au take profit):

    E - TP = 24.957 - 25.1433 = -0.1863

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1863 / -0.1242 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1607.2052 100 64.399 16.07
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 -0.1242

Taille de position = 8 / -0.1242 = -64.41

Taille de position USD = -64.41 x 24.957 = -1607.48

Donc, tu peux acheter -64.41 avec un stoploss a 24.8328

Avec un position size USD de -1607.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -64.41 x -0.1242 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -64.41 x -0.1863 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -64.41
  • Taille de position USD -1607.48
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.75 % 12 $
SL % Target SL $ Target
0.5 % 8 $
PNL PNL %
12 $ 0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1723 % 34.62 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 25.2054
            [stop_loss] => 24.8328
            [rr_ratio] => 2
            [closed_at] => 2025-08-17 13:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 25.2675
            [stop_loss] => 24.8328
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-17 13:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 25.3296
            [stop_loss] => 24.8328
            [rr_ratio] => 3
            [closed_at] => 2025-08-17 13:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 25.3917
            [stop_loss] => 24.8328
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-17 13:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 25.4538
            [stop_loss] => 24.8328
            [rr_ratio] => 4
            [closed_at] => 2025-08-17 13:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 25.5159
            [stop_loss] => 24.8328
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-17 13:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 25.578
            [stop_loss] => 24.8328
            [rr_ratio] => 5
            [closed_at] => 2025-08-17 13:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 25.6401
            [stop_loss] => 24.8328
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-17 14:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.723
            [max_drawdown] => 0.042999999999999
            [rr_ratio] => 16.81
            [high] => 25.68000000
            [low] => 24.91400000
            [mfe_pct] => 2.9
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 16.81
            [candles_analyzed] => 24
            [start_at] => 2025-08-17T12:52:58-04:00
            [end_at] => 2025-08-17T14:52:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.723
            [max_drawdown] => 0.042999999999999
            [rr_ratio] => 16.81
            [high] => 25.68000000
            [low] => 24.91400000
            [mfe_pct] => 2.9
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 16.81
            [candles_analyzed] => 84
            [start_at] => 2025-08-17T12:52:58-04:00
            [end_at] => 2025-08-17T19:52:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 25.51400000
            [high_after] => 25.68000000
            [low_before] => 24.58100000
            [low_after] => 24.91400000
            [is_new_high] => 1
            [is_new_low] => 
        )

)