Trade

sell - TURBO

Status
win
2025-05-24 00:57:42
12 minutes
PNL
0.86
Entry: 0.005344
Last: 0.00529800

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.7165
Prediction 1 Accuracy
Weak Trade
0.59
Prediction 2 Accuracy
0 0.47
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 2.037485111E-5
Details
  1. score: 1.15
  2. 1H: ema9 - 0.00525897
  3. 1H: ema21 - 0.00537373
  4. 1H: ema50 - 0.00549987
  5. 1H: ema100 - 0.00555783
  6. 1H: price_ema9_diff - 0.0161681
  7. 1H: ema9_ema21_diff - -0.0213553
  8. 1H: ema21_ema50_diff - -0.0229366
  9. 1H: price_ema100_diff - -0.038474
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.45886
  13. 1H: kc_percentage - 0.455835
  14. 1H: kc_width_percentage - 0.0895604
  15. ¸
  16. 15m: ema9 - 0.00527629
  17. 15m: ema21 - 0.00524121
  18. 15m: ema50 - 0.00529842
  19. 15m: ema100 - 0.00544818
  20. 15m: price_ema9_diff - 0.0128326
  21. 15m: ema9_ema21_diff - 0.0066915
  22. 15m: ema21_ema50_diff - -0.0107971
  23. 15m: price_ema100_diff - -0.0191237
  24. 15m: all_emas_in_trend - False
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.648777
  27. 15m: kc_percentage - 1.06902
  28. 15m: kc_width_percentage - 0.0336219
  29. ¸
  30. 5m: ema9 - 0.0053251
  31. 5m: ema21 - 0.00529025
  32. 5m: ema50 - 0.0052462
  33. 5m: ema100 - 0.0052339
  34. 5m: price_ema9_diff - 0.00354812
  35. 5m: ema9_ema21_diff - 0.0065883
  36. 5m: ema21_ema50_diff - 0.00839631
  37. 5m: price_ema100_diff - 0.0210343
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.690796
  41. 5m: kc_percentage - 1.15056
  42. 5m: kc_width_percentage - 0.0147461
  43. ¸

Short Trade on TURBO

The 24 May 2025 at 00:57:42

With 1399 TURBO at 0.005344$ per unit.

Take profit at 0.005298 (0.86 %) and Stop Loss at 0.005375 (0.58 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 22.81 %

Symbol Start at Seach Score Trade Score Trades Count
LINK 2025-05-24 00:59:58 0.9659 32.5 4
ADA 2025-05-24 00:50:37 0.9701 50 1
HBAR 2025-05-24 00:54:50 0.961 45 2
TAO 2025-05-24 00:53:32 0.9665 30 1
XRP 2025-05-24 00:52:55 0.961 45 2
TRUMP 2025-05-24 00:54:40 0.9573 -100 1
ENA 2025-05-24 00:58:13 0.9553 50 1
ARB 2025-05-24 00:52:32 0.9542 30 1

📌 Time Data

Start at Closed at Duration
24 May 2025
00:57:42
24 May 2025
01:10:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.005344 0.005375 0.005298 1.5 0.00404
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 0.005344
  • Stop Loss: 0.005375
  • Take Profit: 0.005298

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.005375 - 0.005344 = 3.1E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.005344 - 0.005298 = 4.6E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 4.6E-5 / 3.1E-5 = 1.4839

📌 Position Size

Amount Margin Quantity Leverage
1399 100 261800 13.99
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 3.1E-5

Taille de position = 8 / 3.1E-5 = 258064.52

Taille de position USD = 258064.52 x 0.005344 = 1379.1

Donc, tu peux acheter 258064.52 avec un stoploss a 0.005375

Avec un position size USD de 1379.1$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 258064.52 x 3.1E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 258064.52 x 4.6E-5 = 11.87

Si Take Profit atteint, tu gagneras 11.87$

Résumé

  • Taille de position 258064.52
  • Taille de position USD 1379.1
  • Perte potentielle 8
  • Gain potentiel 11.87
  • Risk-Reward Ratio 1.4839

📌 Peformances

TP % Target TP $ Target
0.86 % 12 $
SL % Target SL $ Target
0.58 % 8.1 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.86 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.005282
            [stop_loss] => 0.005375
            [rr_ratio] => 2
            [closed_at] => 2025-05-24 01:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0052665
            [stop_loss] => 0.005375
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-24 01:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.005251
            [stop_loss] => 0.005375
            [rr_ratio] => 3
            [closed_at] => 2025-05-24 01:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.0052355
            [stop_loss] => 0.005375
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-24 01:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.00522
            [stop_loss] => 0.005375
            [rr_ratio] => 4
            [closed_at] => 2025-05-24 01:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.0052045
            [stop_loss] => 0.005375
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-24 01:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.005189
            [stop_loss] => 0.005375
            [rr_ratio] => 5
            [closed_at] => 2025-05-24 01:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)