Trade

buy - ALPHA

Status
win
2025-07-05 22:27:08
47 minutes
PNL
3.01
Entry: 0.01263
Last: 0.01301000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.1393
Prediction 1 Accuracy
Weak Trade
0.62
Prediction 2 Accuracy
0 0.55
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0001702679355
Details
  1. score: 2.1
  2. 1H
  3. ema9 - 0.0129329
  4. ema21 - 0.0123211
  5. ema50 - 0.0116958
  6. ema100 - 0.01166
  7. price_ema9_diff - -0.0234248
  8. ema9_ema21_diff - 0.0496558
  9. ema21_ema50_diff - 0.0534646
  10. price_ema100_diff - 0.0831838
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.56662
  14. kc_percentage - 0.599827
  15. kc_width_percentage - 0.210461
  16. volume_ema_diff - 0.840019
  17. volume_ema1 - 1918021.5723651
  18. volume_ema2 - 1042391.854422
  19. ¸
  20. 15m
  21. ema9 - 0.0131165
  22. ema21 - 0.01321
  23. ema50 - 0.0127855
  24. ema100 - 0.0121839
  25. price_ema9_diff - -0.037094
  26. ema9_ema21_diff - -0.00707962
  27. ema21_ema50_diff - 0.0332015
  28. price_ema100_diff - 0.0366089
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.438111
  32. kc_percentage - 0.0636316
  33. kc_width_percentage - 0.106313
  34. volume_ema_diff - -0.456416
  35. volume_ema1 - 281179.94218172
  36. volume_ema2 - 517270.70335077
  37. ¸
  38. 5m
  39. ema9 - 0.0128603
  40. ema21 - 0.0130271
  41. ema50 - 0.0132194
  42. ema100 - 0.0130996
  43. price_ema9_diff - -0.0179141
  44. ema9_ema21_diff - -0.0128029
  45. ema21_ema50_diff - -0.0145482
  46. price_ema100_diff - -0.0358541
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.294886
  50. kc_percentage - -0.101608
  51. kc_width_percentage - 0.0506311
  52. volume_ema_diff - -0.469174
  53. volume_ema1 - 96294.775934819
  54. volume_ema2 - 181405.66210335
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108073
  59. 5m_price_ema100_diff: 0.000347565
  60. 5m_price: 108110
  61. 5m_correlation_with_coin: 0.074515
  62. btc_indicators
  63. 15m_ema100: 108041
  64. 15m_price_ema100_diff: 0.000434087
  65. 15m_price: 108088
  66. btc_indicators
  67. 1H_ema100: 107968
  68. 1H_price_ema100_diff: 0.00131593
  69. 1H_price: 108110
  70. ¸

Long Trade on ALPHA

The 05 Jul 2025 at 22:27:08

With 31320 ALPHA at 0.01263$ per unit.

Position size of 395.6 $

Take profit at 0.01301 (3 %) and Stop Loss at 0.01237 (2.1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -13.93 %

Symbol Start at Seach Score Trade Score Trades Count
BB 2025-05-18 16:19:38 0.9731 32.5 4
DBR 2025-07-01 23:43:23 0.9699 30 1
AI16Z 2025-07-05 08:16:14 0.9654 -100 4
PLUME 2025-07-02 17:04:47 0.9638 40 1
JASMY 2025-04-12 13:10:41 0.9636 100 1
MOCA 2025-06-24 03:12:51 0.9634 -100 1
BERA 2025-05-10 04:58:40 0.9632 -100 1

📌 Time Data

Start at Closed at Duration
05 Jul 2025
22:27:08
05 Jul 2025
23:15:00
47 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01263 0.01237 0.01301 1.5 0.01192
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 0.01263
  • Stop Loss: 0.01237
  • Take Profit: 0.01301

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01237 - 0.01263 = -0.00026

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01263 - 0.01301 = -0.00038

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00038 / -0.00026 = 1.4615

📌 Position Size

Amount Margin Quantity Leverage
395.6 100 31320 3.96
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 -0.00026

Taille de position = 8 / -0.00026 = -30769.23

Taille de position USD = -30769.23 x 0.01263 = -388.62

Donc, tu peux acheter -30769.23 avec un stoploss a 0.01237

Avec un position size USD de -388.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -30769.23 x -0.00026 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -30769.23 x -0.00038 = 11.69

Si Take Profit atteint, tu gagneras 11.69$

Résumé

  • Taille de position -30769.23
  • Taille de position USD -388.62
  • Perte potentielle 8
  • Gain potentiel 11.69
  • Risk-Reward Ratio 1.4615

📌 Peformances

TP % Target TP $ Target
3 % 12 $
SL % Target SL $ Target
2.1 % 8.1 $
PNL PNL %
12 $ 3.01
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7126 % 34.62 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01315
            [stop_loss] => 0.01237
            [rr_ratio] => 2
            [closed_at] => 2025-07-05 23:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01328
            [stop_loss] => 0.01237
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-05 23:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01341
            [stop_loss] => 0.01237
            [rr_ratio] => 3
            [closed_at] => 2025-07-05 23:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.01354
            [stop_loss] => 0.01237
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-06 03:25:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.01367
            [stop_loss] => 0.01237
            [rr_ratio] => 4
            [closed_at] => 2025-07-06 03:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.0138
            [stop_loss] => 0.01237
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-06 03:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01393
            [stop_loss] => 0.01237
            [rr_ratio] => 5
            [closed_at] => 2025-07-06 03:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.01406
            [stop_loss] => 0.01237
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-06 03:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01419
            [stop_loss] => 0.01237
            [rr_ratio] => 6
            [closed_at] => 2025-07-06 03:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.01432
            [stop_loss] => 0.01237
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-06 03:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01445
            [stop_loss] => 0.01237
            [rr_ratio] => 7
            [closed_at] => 2025-07-06 03:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)