Trade

buy - AXL

Status
win
2025-06-10 16:22:59
42 minutes
PNL
2.69
Entry: 0.5057
Last: 0.51930000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.32
Prediction 1 Accuracy
Weak Trade
0.6
Prediction 2 Accuracy
0 0.41
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.006050118003
Details
  1. score: 2.17
  2. 1H
  3. ema9 - 0.522933
  4. ema21 - 0.488813
  5. ema50 - 0.425478
  6. ema100 - 0.381074
  7. price_ema9_diff - -0.0329562
  8. ema9_ema21_diff - 0.069803
  9. ema21_ema50_diff - 0.148856
  10. price_ema100_diff - 0.327036
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.586933
  14. kc_percentage - 0.616268
  15. kc_width_percentage - 0.234285
  16. volume_ema_diff - -0.26022
  17. ¸
  18. 15m
  19. ema9 - 0.522533
  20. ema21 - 0.527716
  21. ema50 - 0.514231
  22. ema100 - 0.473652
  23. price_ema9_diff - -0.0322146
  24. ema9_ema21_diff - -0.00982221
  25. ema21_ema50_diff - 0.0262227
  26. price_ema100_diff - 0.0676613
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.369099
  30. kc_percentage - 0.02119
  31. kc_width_percentage - 0.0904821
  32. volume_ema_diff - -0.623362
  33. ¸
  34. 5m
  35. ema9 - 0.515655
  36. ema21 - 0.522218
  37. ema50 - 0.527338
  38. ema100 - 0.527117
  39. price_ema9_diff - -0.0193072
  40. ema9_ema21_diff - -0.0125672
  41. ema21_ema50_diff - -0.00970938
  42. price_ema100_diff - -0.040631
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.291897
  46. kc_percentage - -0.169347
  47. kc_width_percentage - 0.0477498
  48. volume_ema_diff - -0.201743
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 109191
  53. 5m_price_ema100_diff: 0.00256103
  54. 5m_price: 109470
  55. 5m_correlation_with_coin: 0.254795
  56. btc_indicators
  57. 15m_ema100: 109149
  58. 15m_price_ema100_diff: 0.00145406
  59. 15m_price: 109308
  60. btc_indicators
  61. 1H_ema100: 107177
  62. 1H_price_ema100_diff: 0.0213989
  63. 1H_price: 109470
  64. ¸

Long Trade on AXL

The 10 Jun 2025 at 16:22:59

With 881.5 AXL at 0.5057$ per unit.

Position size of 445.8 $

Take profit at 0.5193 (2.7 %) and Stop Loss at 0.4966 (1.8 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -25 %

Symbol Start at Seach Score Trade Score Trades Count
TURBO 2025-06-07 12:31:48 0.909 -100 1
S 2025-04-10 04:53:01 0.893 35 2
ALPACA 2025-04-26 21:31:53 0.9027 -100 1
ETH 2025-05-07 09:30:14 0.9016 80 1
PENGU 2025-05-08 18:23:23 0.8925 30 3
SAND 2025-06-24 07:26:41 0.8909 40 1
LTC 2025-06-24 07:20:09 0.8805 -10 2
TAI 2025-05-08 23:41:04 0.8829 -100 1
HIFI 2025-06-27 12:16:33 0.8798 -100 1

📌 Time Data

Start at Closed at Duration
10 Jun 2025
16:22:59
10 Jun 2025
17:05:00
42 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5057 0.4966 0.5193 1.5 0.3149
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 0.5057
  • Stop Loss: 0.4966
  • Take Profit: 0.5193

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4966 - 0.5057 = -0.0091000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5057 - 0.5193 = -0.0136

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0136 / -0.0091000000000001 = 1.4945

📌 Position Size

Amount Margin Quantity Leverage
445.8 100 881.5 4.46
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 -0.0091000000000001

Taille de position = 8 / -0.0091000000000001 = -879.12

Taille de position USD = -879.12 x 0.5057 = -444.57

Donc, tu peux acheter -879.12 avec un stoploss a 0.4966

Avec un position size USD de -444.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -879.12 x -0.0091000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -879.12 x -0.0136 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position -879.12
  • Taille de position USD -444.57
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4945

📌 Peformances

TP % Target TP $ Target
2.7 % 12 $
SL % Target SL $ Target
1.8 % 8 $
PNL PNL %
12 $ 2.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4944 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.5239
            [stop_loss] => 0.4966
            [rr_ratio] => 2
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.52845
            [stop_loss] => 0.4966
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.533
            [stop_loss] => 0.4966
            [rr_ratio] => 3
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.53755
            [stop_loss] => 0.4966
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.5421
            [stop_loss] => 0.4966
            [rr_ratio] => 4
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.54665
            [stop_loss] => 0.4966
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.5512
            [stop_loss] => 0.4966
            [rr_ratio] => 5
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.55575
            [stop_loss] => 0.4966
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.5603
            [stop_loss] => 0.4966
            [rr_ratio] => 6
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.56485
            [stop_loss] => 0.4966
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.5694
            [stop_loss] => 0.4966
            [rr_ratio] => 7
            [closed_at] => 2025-06-10 18:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)