Trade

sell - PYTH

Status
win
2025-05-20 19:31:10
33 minutes
PNL
1.08
Entry: 0.1295
Last: 0.12810000

Results

Status:
win
Trade Type:
sell
Prediction Score: -1.3148
Prediction 1 Accuracy
Weak Trade
0.67
Prediction 2 Accuracy
0 0.6
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0006342783893
Details
  1. score: 1.07
  2. 1H: ema9 - 0.128168
  3. 1H: ema21 - 0.130713
  4. 1H: ema50 - 0.136728
  5. 1H: ema100 - 0.143478
  6. 1H: price_ema9_diff - 0.0103881
  7. 1H: ema9_ema21_diff - -0.0194697
  8. 1H: ema21_ema50_diff - -0.0439902
  9. 1H: price_ema100_diff - -0.0974274
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.425898
  13. 1H: kc_percentage - 0.411435
  14. 1H: kc_width_percentage - 0.0860765
  15. ¸
  16. 15m: ema9 - 0.128043
  17. 15m: ema21 - 0.127631
  18. 15m: ema50 - 0.12883
  19. 15m: ema100 - 0.131114
  20. 15m: price_ema9_diff - 0.011374
  21. 15m: ema9_ema21_diff - 0.00323037
  22. 15m: ema21_ema50_diff - -0.00930831
  23. 15m: price_ema100_diff - -0.0123132
  24. 15m: all_emas_in_trend - False
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.598462
  27. 15m: kc_percentage - 0.856758
  28. 15m: kc_width_percentage - 0.0405761
  29. ¸
  30. 5m: ema9 - 0.128819
  31. 5m: ema21 - 0.128073
  32. 5m: ema50 - 0.127519
  33. 5m: ema100 - 0.127791
  34. 5m: price_ema9_diff - 0.00528246
  35. 5m: ema9_ema21_diff - 0.00582425
  36. 5m: ema21_ema50_diff - 0.00434376
  37. 5m: price_ema100_diff - 0.0133691
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.686704
  41. 5m: kc_percentage - 1.07304
  42. 5m: kc_width_percentage - 0.0186677
  43. ¸

📌 Données temporelles

Start at Closed at Duration
2025-05-20 19:31:10 2025-05-20 20:05:00 33 minutes

📌 Informations d'entrée et sortie

Entry Stop Loss Take Profit RR Current Price
0.1295 0.1305 0.1281 1.4 0.137
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 0.1295
  • Stop Loss: 0.1305
  • Take Profit: 0.1281

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1305 - 0.1295 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1295 - 0.1281 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.001 = 1.4

📌 Informations de position et de gestion du risque

Amount Margin Quantity Leverage
1089 100 8409 10.89
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1295 = 1036

Donc, tu peux acheter 8000 avec un stoploss a 0.1305

Avec un position size USD de 1036$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0014 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 8000
  • Taille de position USD 1036
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
1.1 % 12 $
SL % Target SL $ Target
0.77 % 8.4 $
RR PNL PNL % Max Drawdown
1.4 12 $ 1.08 -0.3088803088803

📌 ML Extra Data

Extra RRR data


                      Array
(
    [2] => Array
        (
            [take_profit] => 0.1275
            [stop_loss] => 0.1305
            [rr_ratio] => 2
            [closed_at] => 2025-05-20 20:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.127
            [stop_loss] => 0.1305
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-20 20:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1265
            [stop_loss] => 0.1305
            [rr_ratio] => 3
            [closed_at] => 2025-05-20 21:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.126
            [stop_loss] => 0.1305
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-20 21:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1255
            [stop_loss] => 0.1305
            [rr_ratio] => 4
            [closed_at] => 2025-05-20 21:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.125
            [stop_loss] => 0.1305
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-20 22:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1245
            [stop_loss] => 0.1305
            [rr_ratio] => 5
            [closed_at] => 2025-05-20 22:00:00
            [result] => win
        )

)

Extra SL data


                      Array
(
)

📌 Vector Search

Trade ID Symbol Start at Seach Score Trade SCore View
12428 PYTH 2025-05-20 19:31:10 0.999967575 30
12427 PYTH 2025-05-20 19:25:24 0.98797524 30
12426 PYTH 2025-05-20 19:19:09 0.969391763 50
12424 PYTH 2025-05-20 19:14:39 0.961690068 -100
6632 OM 2025-05-02 01:31:21 0.939151168 30
1597 ARC 2025-04-06 18:12:32 0.938896894 -70
10042 OP 2025-05-13 03:21:49 0.938632131 30
1862 XLM 2025-04-07 06:20:37 0.937826812 30
1609 BANANA 2025-04-06 20:32:09 0.937814295 -100
1610 BANANA 2025-04-06 20:41:45 0.937798738 30