Trade

sell - ADA

Status
win
2025-05-30 06:59:53
1 hour
PNL
0.78
Entry: 0.708
Last: 0.70250000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.7476
Prediction 1 Accuracy
Strong Trade
0.67
Prediction 2 Accuracy
2 0.41
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.002460646925
Details
  1. score: 1.01
  2. 1H: ema9 - 0.706704
  3. 1H: ema21 - 0.71643
  4. 1H: ema50 - 0.731569
  5. 1H: ema100 - 0.744281
  6. 1H: price_ema9_diff - 0.00183385
  7. 1H: ema9_ema21_diff - -0.0135765
  8. 1H: ema21_ema50_diff - -0.0206942
  9. 1H: price_ema100_diff - -0.0487472
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.403403
  13. 1H: kc_percentage - 0.308461
  14. 1H: kc_width_percentage - 0.0565932
  15. ¸
  16. 15m: ema9 - 0.702962
  17. 15m: ema21 - 0.70344
  18. 15m: ema50 - 0.709755
  19. 15m: ema100 - 0.719871
  20. 15m: price_ema9_diff - 0.00716592
  21. 15m: ema9_ema21_diff - -0.000679478
  22. 15m: ema21_ema50_diff - -0.00889659
  23. 15m: price_ema100_diff - -0.0164908
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.556634
  27. 15m: kc_percentage - 0.750459
  28. 15m: kc_width_percentage - 0.0265216
  29. ¸
  30. 5m: ema9 - 0.704965
  31. 5m: ema21 - 0.703018
  32. 5m: ema50 - 0.702657
  33. 5m: ema100 - 0.704407
  34. 5m: price_ema9_diff - 0.00430441
  35. 5m: ema9_ema21_diff - 0.00276961
  36. 5m: ema21_ema50_diff - 0.000514275
  37. 5m: price_ema100_diff - 0.00510016
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.654264
  41. 5m: kc_percentage - 1.0119
  42. 5m: kc_width_percentage - 0.0134913
  43. ¸

Short Trade on ADA

The 30 May 2025 at 06:59:53

With 1535 ADA at 0.708$ per unit.

Take profit at 0.7025 (0.78 %) and Stop Loss at 0.7117 (0.52 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 25.56 %

Symbol Start at Seach Score Trade Score Trades Count
FARTCOIN 2025-05-30 06:53:02 0.9712 -20 2
NOT 2025-05-30 07:06:48 0.9614 30 2
PEOPLE 2025-05-30 07:09:35 0.9653 30 1
AVAX 2025-05-30 07:12:00 0.9601 50 2
OM 2025-05-30 06:57:37 0.9607 -30 2
XLM 2025-05-30 07:09:07 0.9625 30 1
ETC 2025-05-30 07:08:19 0.9623 60 1
TURBO 2025-05-30 07:10:30 0.9594 50 1
LAYER 2025-05-11 13:40:32 0.954 30 1

📌 Time Data

Start at Closed at Duration
30 May 2025
06:59:53
30 May 2025
08:10:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.708 0.7117 0.7025 1.5 0.668
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 0.708
  • Stop Loss: 0.7117
  • Take Profit: 0.7025

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7117 - 0.708 = 0.0037

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.708 - 0.7025 = 0.0054999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0054999999999999 / 0.0037 = 1.4865

📌 Position Size

Amount Margin Quantity Leverage
1535 100 2167 15.35
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 0.0037

Taille de position = 8 / 0.0037 = 2162.16

Taille de position USD = 2162.16 x 0.708 = 1530.81

Donc, tu peux acheter 2162.16 avec un stoploss a 0.7117

Avec un position size USD de 1530.81$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2162.16 x 0.0037 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2162.16 x 0.0054999999999999 = 11.89

Si Take Profit atteint, tu gagneras 11.89$

Résumé

  • Taille de position 2162.16
  • Taille de position USD 1530.81
  • Perte potentielle 8
  • Gain potentiel 11.89
  • Risk-Reward Ratio 1.4865

📌 Peformances

TP % Target TP $ Target
0.78 % 12 $
SL % Target SL $ Target
0.52 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.78 -0.45197740112996

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.7006
            [stop_loss] => 0.7117
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 08:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.69875
            [stop_loss] => 0.7117
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 09:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6969
            [stop_loss] => 0.7117
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 10:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.69505
            [stop_loss] => 0.7117
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 12:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.6932
            [stop_loss] => 0.7117
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.69135
            [stop_loss] => 0.7117
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.6895
            [stop_loss] => 0.7117
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)