Trade

buy - AERO

Status
loss
2025-06-12 21:06:33
23 minutes
PNL
-2.63
Entry: 0.6123
Last: 0.59620000

Results

Status:
loss
Trade Type:
buy
Prediction Score: 1.4292
Prediction 1 Accuracy
Strong Trade
0.56
Prediction 2 Accuracy
1 0.49
ML Trade Score: -60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.01076086082
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 0.620574
  4. ema21 - 0.59734
  5. ema50 - 0.580503
  6. ema100 - 0.565027
  7. price_ema9_diff - -0.0133329
  8. ema9_ema21_diff - 0.0388945
  9. ema21_ema50_diff - 0.0290039
  10. price_ema100_diff - 0.0836645
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.563701
  14. kc_percentage - 0.624414
  15. kc_width_percentage - 0.180313
  16. volume_ema_diff - 1.88825
  17. ¸
  18. 15m
  19. ema9 - 0.636298
  20. ema21 - 0.637123
  21. ema50 - 0.613162
  22. ema100 - 0.589833
  23. price_ema9_diff - -0.0377165
  24. ema9_ema21_diff - -0.00129423
  25. ema21_ema50_diff - 0.0390771
  26. price_ema100_diff - 0.0380904
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.421853
  30. kc_percentage - 0.182333
  31. kc_width_percentage - 0.131018
  32. volume_ema_diff - 0.262893
  33. ¸
  34. 5m
  35. ema9 - 0.622812
  36. ema21 - 0.635685
  37. ema50 - 0.640991
  38. ema100 - 0.627488
  39. price_ema9_diff - -0.0168782
  40. ema9_ema21_diff - -0.0202511
  41. ema21_ema50_diff - -0.00827749
  42. price_ema100_diff - -0.0242047
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.300798
  46. kc_percentage - -0.0312503
  47. kc_width_percentage - 0.0696273
  48. volume_ema_diff - -0.360926
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 105954
  53. 5m_price_ema100_diff: -0.0256853
  54. 5m_price: 103233
  55. 5m_correlation_with_coin: 0.287746
  56. btc_indicators
  57. 15m_ema100: 106942
  58. 15m_price_ema100_diff: -0.0346884
  59. 15m_price: 103233
  60. btc_indicators
  61. 1H_ema100: 107638
  62. 1H_price_ema100_diff: -0.040931
  63. 1H_price: 103233
  64. ¸

Long Trade on AERO

The 12 Jun 2025 at 21:06:33

With 495.6 AERO at 0.6123$ per unit.

Position size of 303.5 $

Take profit at 0.6365 (4 %) and Stop Loss at 0.5962 (2.6 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -55.83 %

Symbol Start at Seach Score Trade Score Trades Count
MOCA 2025-06-24 02:32:56 0.9715 -100 2
SPX 2025-06-03 00:17:38 0.9683 -100 2
FIDA 2025-07-05 03:43:29 0.9689 -100 1
DOGE 2025-07-06 14:50:32 0.9681 40 1
RARE 2025-04-03 09:22:26 0.9671 -100 1
GOAT 2025-05-09 08:07:54 0.967 40 1
ONDO 2025-04-09 19:23:51 0.9663 -26.67 3
FLOKI 2025-06-09 23:19:48 0.9664 -100 1

📌 Time Data

Start at Closed at Duration
12 Jun 2025
21:06:33
12 Jun 2025
21:30:00
23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6123 0.5962 0.6365 1.5 0.6932
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 0.6123
  • Stop Loss: 0.5962
  • Take Profit: 0.6365

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5962 - 0.6123 = -0.0161

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6123 - 0.6365 = -0.0242

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0242 / -0.0161 = 1.5031

📌 Position Size

Amount Margin Quantity Leverage
303.5 100 495.6 3.03
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 -0.0161

Taille de position = 8 / -0.0161 = -496.89

Taille de position USD = -496.89 x 0.6123 = -304.25

Donc, tu peux acheter -496.89 avec un stoploss a 0.5962

Avec un position size USD de -304.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -496.89 x -0.0161 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -496.89 x -0.0242 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position -496.89
  • Taille de position USD -304.25
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5031

📌 Peformances

TP % Target TP $ Target
4 % 12 $
SL % Target SL $ Target
2.6 % 8 $
PNL PNL %
-8 $ -2.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.7111 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.6365
            [entry_price] => 0.6123
            [stop_loss] => 0.59459
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-12 23:50:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.6365
            [entry_price] => 0.6123
            [stop_loss] => 0.59298
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-12 23:50:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.6365
            [entry_price] => 0.6123
            [stop_loss] => 0.59137
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-12 23:50:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.6365
            [entry_price] => 0.6123
            [stop_loss] => 0.58815
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-12 23:50:00
            [result] => win
        )

)