Trade

sell - ALPHA

Status
win
2025-07-04 11:09:55
20 minutes
PNL
1.43
Entry: 0.01052
Last: 0.01037000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.4875
Prediction 1 Accuracy
Weak Trade
0.51
Prediction 2 Accuracy
0 0.44
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 6.686455146E-5
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 0.0104481
  4. ema21 - 0.0106562
  5. ema50 - 0.0112114
  6. ema100 - 0.0119015
  7. price_ema9_diff - 0.0068754
  8. ema9_ema21_diff - -0.0195315
  9. ema21_ema50_diff - -0.0495201
  10. price_ema100_diff - -0.116084
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.453594
  14. kc_percentage - 0.414774
  15. kc_width_percentage - 0.129655
  16. volume_ema_diff - -0.446105
  17. volume_ema1 - 121787.98104892
  18. volume_ema2 - 219875.7930948
  19. ¸
  20. 15m
  21. ema9 - 0.0103719
  22. ema21 - 0.0103428
  23. ema50 - 0.0104559
  24. ema100 - 0.0106522
  25. price_ema9_diff - 0.0142722
  26. ema9_ema21_diff - 0.00281336
  27. ema21_ema50_diff - -0.0108145
  28. price_ema100_diff - -0.0124116
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.579976
  32. kc_percentage - 0.829872
  33. kc_width_percentage - 0.0515995
  34. volume_ema_diff - -0.373168
  35. volume_ema1 - 33933.948666647
  36. volume_ema2 - 54135.642005944
  37. ¸
  38. 5m
  39. ema9 - 0.0104427
  40. ema21 - 0.0103693
  41. ema50 - 0.0103193
  42. ema100 - 0.0103619
  43. price_ema9_diff - 0.00740186
  44. ema9_ema21_diff - 0.00707551
  45. ema21_ema50_diff - 0.00484146
  46. price_ema100_diff - 0.0152573
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.662091
  50. kc_percentage - 1.05329
  51. kc_width_percentage - 0.0250873
  52. volume_ema_diff - -0.281329
  53. volume_ema1 - 9856.3928088995
  54. volume_ema2 - 13714.764273059
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108536
  59. 5m_price_ema100_diff: -0.00787301
  60. 5m_price: 107682
  61. 5m_correlation_with_coin: 0.019757
  62. btc_indicators
  63. 15m_ema100: 109044
  64. 15m_price_ema100_diff: -0.0124895
  65. 15m_price: 107682
  66. btc_indicators
  67. 1H_ema100: 108312
  68. 1H_price_ema100_diff: -0.00581925
  69. 1H_price: 107682
  70. ¸

Short Trade on ALPHA

The 04 Jul 2025 at 11:09:55

With 79760 ALPHA at 0.01052$ per unit.

Position size of 839.1 $

Take profit at 0.01037 (1.4 %) and Stop Loss at 0.01062 (0.95 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -20.83 %

Symbol Start at Seach Score Trade Score Trades Count
BSW 2025-07-04 10:54:54 0.8209 -100 2
TROY 2025-04-09 00:19:18 0.7864 -12.5 4
SAFE 2025-05-31 11:27:09 0.7863 7.5 4
FUN 2025-04-12 08:52:07 0.7722 -100 1
MOVE 2025-05-15 23:23:44 0.7546 30 1
A 2025-05-30 09:31:05 0.7494 50 1

📌 Time Data

Start at Closed at Duration
04 Jul 2025
11:09:55
04 Jul 2025
11:30:00
20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01052 0.01062 0.01037 1.5 0.01074
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 0.01052
  • Stop Loss: 0.01062
  • Take Profit: 0.01037

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01062 - 0.01052 = 9.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01052 - 0.01037 = 0.00015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00015 / 9.9999999999999E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
839.1 100 79760 8.39
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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.01052 = 841.6

Donc, tu peux acheter 80000 avec un stoploss a 0.01062

Avec un position size USD de 841.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.00015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 80000
  • Taille de position USD 841.6
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.4 % 12 $
SL % Target SL $ Target
0.95 % 8 $
PNL PNL %
12 $ 1.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01032
            [stop_loss] => 0.01062
            [rr_ratio] => 2
            [closed_at] => 2025-07-04 11:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01027
            [stop_loss] => 0.01062
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-04 11:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01022
            [stop_loss] => 0.01062
            [rr_ratio] => 3
            [closed_at] => 2025-07-04 11:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.01017
            [stop_loss] => 0.01062
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-04 11:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01012
            [stop_loss] => 0.01062
            [rr_ratio] => 4
            [closed_at] => 2025-07-04 12:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.01007
            [stop_loss] => 0.01062
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-04 13:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.01002
            [stop_loss] => 0.01062
            [rr_ratio] => 5
            [closed_at] => 2025-07-04 14:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.00997
            [stop_loss] => 0.01062
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-04 14:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.00992
            [stop_loss] => 0.01062
            [rr_ratio] => 6
            [closed_at] => 2025-07-04 14:05:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.00987
            [stop_loss] => 0.01062
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-04 14:20:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.00982
            [stop_loss] => 0.01062
            [rr_ratio] => 7
            [closed_at] => 2025-07-04 14:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)