Trade

sell - AI16Z

Status
win
2025-07-07 20:04:56
10 minutes
PNL
0.79
Entry: 0.1515
Last: 0.15030000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.5075
Prediction 1 Accuracy
Weak Trade
0.6
Prediction 2 Accuracy
0 0.5
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0005365583612
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.15052
  4. ema21 - 0.152168
  5. ema50 - 0.153908
  6. ema100 - 0.155241
  7. price_ema9_diff - 0.00650703
  8. ema9_ema21_diff - -0.0108327
  9. ema21_ema50_diff - -0.0113027
  10. price_ema100_diff - -0.0240986
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.466723
  14. kc_percentage - 0.451049
  15. kc_width_percentage - 0.0749062
  16. volume_ema_diff - -0.505326
  17. volume_ema1 - 304192.43186789
  18. volume_ema2 - 614935.70118121
  19. ¸
  20. 15m
  21. ema9 - 0.150353
  22. ema21 - 0.149949
  23. ema50 - 0.151028
  24. ema100 - 0.152668
  25. price_ema9_diff - 0.00762794
  26. ema9_ema21_diff - 0.0026919
  27. ema21_ema50_diff - -0.0071434
  28. price_ema100_diff - -0.0076524
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.574131
  32. kc_percentage - 0.817125
  33. kc_width_percentage - 0.0323771
  34. volume_ema_diff - -0.587858
  35. volume_ema1 - 53461.300684679
  36. volume_ema2 - 129715.7666197
  37. ¸
  38. 5m
  39. ema9 - 0.150829
  40. ema21 - 0.150204
  41. ema50 - 0.149639
  42. ema100 - 0.149538
  43. price_ema9_diff - 0.00444464
  44. ema9_ema21_diff - 0.00416003
  45. ema21_ema50_diff - 0.00377847
  46. price_ema100_diff - 0.0131166
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.676113
  50. kc_percentage - 1.11774
  51. kc_width_percentage - 0.0134142
  52. volume_ema_diff - -0.309201
  53. volume_ema1 - 22859.35650459
  54. volume_ema2 - 33091.193843857
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108075
  59. 5m_price_ema100_diff: 0.00095438
  60. 5m_price: 108178
  61. 5m_correlation_with_coin: 0.581033
  62. btc_indicators
  63. 15m_ema100: 108412
  64. 15m_price_ema100_diff: -0.00215678
  65. 15m_price: 108178
  66. btc_indicators
  67. 1H_ema100: 108563
  68. 1H_price_ema100_diff: -0.00354918
  69. 1H_price: 108178
  70. ¸

Short Trade on AI16Z

The 07 Jul 2025 at 20:04:56

With 9940 AI16Z at 0.1515$ per unit.

Position size of 1506 $

Take profit at 0.1503 (0.79 %) and Stop Loss at 0.1523 (0.53 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -58.18 %

Symbol Start at Seach Score Trade Score Trades Count
VIRTUAL 2025-07-07 19:45:19 0.9577 -100 1
XLM 2025-06-22 19:01:20 0.9554 -100 2
INIT 2025-05-17 21:56:28 0.9555 30 1
SUI 2025-06-22 19:04:32 0.9548 -100 2
PNUT 2025-04-02 05:42:20 0.9546 100 1
ADA 2025-06-06 00:44:08 0.9546 -100 1
1000RATS 2025-05-15 13:23:06 0.9539 -100 1
CETUS 2025-05-25 15:33:28 0.9536 30 1
ARC 2025-07-07 20:05:28 0.9535 -100 1
SHIB 2025-06-06 00:34:49 0.953 -100 1
HOME 2025-06-19 20:10:44 0.9527 -100 1

📌 Time Data

Start at Closed at Duration
07 Jul 2025
20:04:56
07 Jul 2025
20:15:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1515 0.1523 0.1503 1.5 0.177
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 0.1515
  • Stop Loss: 0.1523
  • Take Profit: 0.1503

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1523 - 0.1515 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1515 - 0.1503 = 0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0012 / 0.0008 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1506 100 9940 15.06
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.1515 = 1515

Donc, tu peux acheter 10000 avec un stoploss a 0.1523

Avec un position size USD de 1515$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0012 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 10000
  • Taille de position USD 1515
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.79 % 12 $
SL % Target SL $ Target
0.53 % 8 $
PNL PNL %
12 $ 0.79
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1499
            [stop_loss] => 0.1523
            [rr_ratio] => 2
            [closed_at] => 2025-07-07 20:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1495
            [stop_loss] => 0.1523
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1491
            [stop_loss] => 0.1523
            [rr_ratio] => 3
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1487
            [stop_loss] => 0.1523
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1483
            [stop_loss] => 0.1523
            [rr_ratio] => 4
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1479
            [stop_loss] => 0.1523
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1475
            [stop_loss] => 0.1523
            [rr_ratio] => 5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1471
            [stop_loss] => 0.1523
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1467
            [stop_loss] => 0.1523
            [rr_ratio] => 6
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1463
            [stop_loss] => 0.1523
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1459
            [stop_loss] => 0.1523
            [rr_ratio] => 7
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)