Trade

sell - PYTH

Status
win
2025-05-20 19:25:24
39 minutes
PNL
1.08
Entry: 0.1295
Last: 0.12810000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.6563
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
0 0.48
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0006396474387
Details
  1. score: 1.13
  2. 1H: ema9 - 0.128146
  3. 1H: ema21 - 0.130707
  4. 1H: ema50 - 0.136753
  5. 1H: ema100 - 0.143617
  6. 1H: price_ema9_diff - 0.0105635
  7. 1H: ema9_ema21_diff - -0.0195912
  8. 1H: ema21_ema50_diff - -0.0442177
  9. 1H: price_ema100_diff - -0.0982996
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.435293
  13. 1H: kc_percentage - 0.413854
  14. 1H: kc_width_percentage - 0.0878252
  15. ¸
  16. 15m: ema9 - 0.127852
  17. 15m: ema21 - 0.127478
  18. 15m: ema50 - 0.128727
  19. 15m: ema100 - 0.130995
  20. 15m: price_ema9_diff - 0.0128895
  21. 15m: ema9_ema21_diff - 0.00292892
  22. 15m: ema21_ema50_diff - -0.00970021
  23. 15m: price_ema100_diff - -0.0114164
  24. 15m: all_emas_in_trend - False
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.618452
  27. 15m: kc_percentage - 0.893088
  28. 15m: kc_width_percentage - 0.0398857
  29. ¸
  30. 5m: ema9 - 0.128649
  31. 5m: ema21 - 0.12793
  32. 5m: ema50 - 0.127436
  33. 5m: ema100 - 0.127743
  34. 5m: price_ema9_diff - 0.00661181
  35. 5m: ema9_ema21_diff - 0.00561601
  36. 5m: ema21_ema50_diff - 0.00387643
  37. 5m: price_ema100_diff - 0.0137525
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.686709
  41. 5m: kc_percentage - 1.12709
  42. 5m: kc_width_percentage - 0.0188542
  43. ¸

📌 Données temporelles

Start at Closed at Duration
2025-05-20 19:25:24 2025-05-20 20:05:00 39 minutes

📌 Informations d'entrée et sortie

Entry Stop Loss Take Profit RR Current Price
0.1295 0.1305 0.1281 1.4 0.1421
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
1080 100 8338 10.80
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 % 8.3 $
RR PNL PNL % Max Drawdown
1.4 12 $ 1.08 -0.38610038610039

📌 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
12427 PYTH 2025-05-20 19:25:24 0.999616 30
12428 PYTH 2025-05-20 19:31:10 0.98797524 30
12426 PYTH 2025-05-20 19:19:09 0.977246463 50
12424 PYTH 2025-05-20 19:14:39 0.96990037 -100
1862 XLM 2025-04-07 06:20:37 0.93971765 30
10042 OP 2025-05-13 03:21:49 0.939361513 30
1595 ARC 2025-04-06 18:02:08 0.938623369 -100
1609 BANANA 2025-04-06 20:32:09 0.938380182 -100
1597 ARC 2025-04-06 18:12:32 0.93827033 -70
1709 REZ 2025-04-06 21:31:28 0.938256621 100