Trade

sell - BABY

Status
win
2025-05-31 03:46:54
48 minutes
PNL
0.84
Entry: 0.06306
Last: 0.06253000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.9543
Prediction 1 Accuracy
Strong Trade
0.52
Prediction 2 Accuracy
2 0.4
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0002352927282
Details
  1. score: 1.02
  2. 1H: ema9 - 0.0628546
  3. 1H: ema21 - 0.0655834
  4. 1H: ema50 - 0.0702802
  5. 1H: ema100 - 0.0742212
  6. 1H: price_ema9_diff - 0.0032671
  7. 1H: ema9_ema21_diff - -0.0416079
  8. 1H: ema21_ema50_diff - -0.0668302
  9. 1H: price_ema100_diff - -0.150378
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.326022
  13. 1H: kc_percentage - 0.133946
  14. 1H: kc_width_percentage - 0.0997667
  15. ¸
  16. 15m: ema9 - 0.062536
  17. 15m: ema21 - 0.0622156
  18. 15m: ema50 - 0.063497
  19. 15m: ema100 - 0.0658499
  20. 15m: price_ema9_diff - 0.00837782
  21. 15m: ema9_ema21_diff - 0.00515048
  22. 15m: ema21_ema50_diff - -0.0201798
  23. 15m: price_ema100_diff - -0.0423677
  24. 15m: all_emas_in_trend - False
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.562335
  27. 15m: kc_percentage - 0.863229
  28. 15m: kc_width_percentage - 0.0370745
  29. ¸
  30. 5m: ema9 - 0.062863
  31. 5m: ema21 - 0.062579
  32. 5m: ema50 - 0.0621091
  33. 5m: ema100 - 0.0617934
  34. 5m: price_ema9_diff - 0.0031324
  35. 5m: ema9_ema21_diff - 0.00453911
  36. 5m: ema21_ema50_diff - 0.0075654
  37. 5m: price_ema100_diff - 0.0204965
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.648778
  41. 5m: kc_percentage - 1.02252
  42. 5m: kc_width_percentage - 0.0139897
  43. ¸

Short Trade on BABY

The 31 May 2025 at 03:46:54

With 1429 BABY at 0.06306$ per unit.

Take profit at 0.06253 (0.84 %) and Stop Loss at 0.06341 (0.56 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 17.14 %

Symbol Start at Seach Score Trade Score Trades Count
MELANIA 2025-05-31 03:42:59 0.986 40 2
ZEREBRO 2025-05-31 03:45:49 0.9887 40 1
NEIROCTO 2025-05-31 03:45:53 0.9866 -100 3
LISTA 2025-05-31 03:43:36 0.9835 30 1
ZK 2025-05-31 03:53:45 0.9824 40 1
BOME 2025-05-31 03:52:45 0.9821 30 1
NOT 2025-05-31 03:53:19 0.9814 40 1

📌 Time Data

Start at Closed at Duration
31 May 2025
03:46:54
31 May 2025
04:35:00
48 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06306 0.06341 0.06253 1.5 0.06524
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 0.06306
  • Stop Loss: 0.06341
  • Take Profit: 0.06253

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06341 - 0.06306 = 0.00034999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06306 - 0.06253 = 0.00053

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00053 / 0.00034999999999999 = 1.5143

📌 Position Size

Amount Margin Quantity Leverage
1429 100 22670 14.29
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 0.00034999999999999

Taille de position = 8 / 0.00034999999999999 = 22857.14

Taille de position USD = 22857.14 x 0.06306 = 1441.37

Donc, tu peux acheter 22857.14 avec un stoploss a 0.06341

Avec un position size USD de 1441.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 22857.14 x 0.00034999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 22857.14 x 0.00053 = 12.11

Si Take Profit atteint, tu gagneras 12.11$

Résumé

  • Taille de position 22857.14
  • Taille de position USD 1441.37
  • Perte potentielle 8
  • Gain potentiel 12.11
  • Risk-Reward Ratio 1.5143

📌 Peformances

TP % Target TP $ Target
0.84 % 12 $
SL % Target SL $ Target
0.56 % 7.9 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.84 -0.174437044085

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.06236
            [stop_loss] => 0.06341
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 04:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.062185
            [stop_loss] => 0.06341
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 05:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.06201
            [stop_loss] => 0.06341
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 05:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.061835
            [stop_loss] => 0.06341
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 05:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.06166
            [stop_loss] => 0.06341
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 05:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.061485
            [stop_loss] => 0.06341
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 05:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.06131
            [stop_loss] => 0.06341
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 06:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)