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Trade

sell - TURBO

Status
win
2025-05-28 13:19:48
5 minutes
PNL
0.93
Entry: 0.005189
Last: 0.00514100

Results

Status:
win
Trade Type:
sell
Prediction Score: 0
Prediction 1 Accuracy
Weak Trade
0.66
Prediction 2 Accuracy
0 0.53
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 2.139933066E-5
Details
  1. score: 1.11
  2. 1H: ema9 - 0.00517653
  3. 1H: ema21 - 0.00522288
  4. 1H: ema50 - 0.00525364
  5. 1H: ema100 - 0.00527141
  6. 1H: price_ema9_diff - 0.00240822
  7. 1H: ema9_ema21_diff - -0.00887451
  8. 1H: ema21_ema50_diff - -0.00585449
  9. 1H: price_ema100_diff - -0.0156337
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.465266
  13. 1H: kc_percentage - 0.413762
  14. 1H: kc_width_percentage - 0.0697787
    15. ¸
  15. 15m: ema9 - 0.00514451
  16. 15m: ema21 - 0.00515857
  17. 15m: ema50 - 0.00520097
  18. 15m: ema100 - 0.00525228
  19. 15m: price_ema9_diff - 0.00864779
  20. 15m: ema9_ema21_diff - -0.00272652
  21. 15m: ema21_ema50_diff - -0.0081514
  22. 15m: price_ema100_diff - -0.0120485
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.536506
  26. 15m: kc_percentage - 0.687447
  27. 15m: kc_width_percentage - 0.0328848
    28. ¸
  28. 5m: ema9 - 0.00515695
  29. 5m: ema21 - 0.00513855
  30. 5m: ema50 - 0.00514737
  31. 5m: ema100 - 0.00516656
  32. 5m: price_ema9_diff - 0.00621412
  33. 5m: ema9_ema21_diff - 0.00357976
  34. 5m: ema21_ema50_diff - -0.00171338
  35. 5m: price_ema100_diff - 0.0043427
  36. 5m: all_emas_in_trend - False
  37. 5m: all_emas_and_price_in_trend - False
  38. 5m: rsi - 0.670216
  39. 5m: kc_percentage - 1.10648
  40. 5m: kc_width_percentage - 0.0158498
    41. ¸

Short Trade on TURBO

The 28 May 2025 at 13:19:48

With 1293 TURBO at 0.005189$ per unit.

Take profit at 0.005141 (0.93 %) and Stop Loss at 0.005221 (0.62 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 8.54 %

Symbol Start at Seach Score Trade Score Trades Count
1000BONK 2025-05-28 13:16:07 0.9457 40 1
TAO 2025-05-28 13:12:43 0.9045 40 2
PNUT 2025-05-28 13:17:17 0.9064 40 1
SOL 2025-05-28 13:18:43 0.9024 40 1
FET 2025-05-03 15:37:31 0.8922 -56.67 3
ICP 2025-05-03 15:40:21 0.8895 30 2
AVAX 2025-05-03 15:33:50 0.8865 35 2
FIL 2025-05-03 15:55:12 0.8871 -100 1

📌 Time Data

Start at Closed at Duration
28 May 2025
13:19:48		 28 May 2025
13:25:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.005189 0.005221 0.005141 1.5 0.004075
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 0.005189
  • Stop Loss: 0.005221
  • Take Profit: 0.005141

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.005221 - 0.005189 = 3.2E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.005189 - 0.005141 = 4.8E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 4.8E-5 / 3.2E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1293 100 249200 12.93
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 3.2E-5

Taille de position = 8 / 3.2E-5 = 250000

Taille de position USD = 250000 x 0.005189 = 1297.25

Donc, tu peux acheter 250000 avec un stoploss a 0.005221

Avec un position size USD de 1297.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 250000 x 3.2E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 250000 x 4.8E-5 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 250000
  • Taille de position USD 1297.25
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.93 % 12 $
SL % Target SL $ Target
0.62 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.93 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.005125
            [stop_loss] => 0.005221
            [rr_ratio] => 2
            [closed_at] => 2025-05-28 13:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.005109
            [stop_loss] => 0.005221
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-28 13:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.005093
            [stop_loss] => 0.005221
            [rr_ratio] => 3
            [closed_at] => 2025-05-28 13:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.005077
            [stop_loss] => 0.005221
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-28 14:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.005061
            [stop_loss] => 0.005221
            [rr_ratio] => 4
            [closed_at] => 2025-05-28 15:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.005045
            [stop_loss] => 0.005221
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-28 15:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.005029
            [stop_loss] => 0.005221
            [rr_ratio] => 5
            [closed_at] => 2025-05-28 15:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)