Trade

sell - ARC

Status
win
2025-05-28 13:17:38
7 minutes
PNL
1.49
Entry: 0.05574
Last: 0.05491000

Results

Status:
win
Trade Type:
sell
Prediction Score: -5.3559
Prediction 1 Accuracy
Strong Trade
0.58
Prediction 2 Accuracy
1 0.53
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.36
  4. atr: 0.0003675675239
Details
  1. score: 1.36
  2. 1H: ema9 - 0.0557661
  3. 1H: ema21 - 0.0566229
  4. 1H: ema50 - 0.0569018
  5. 1H: ema100 - 0.0570519
  6. 1H: price_ema9_diff - -0.000469785
  7. 1H: ema9_ema21_diff - -0.0151308
  8. 1H: ema21_ema50_diff - -0.0049015
  9. 1H: price_ema100_diff - -0.0229949
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - True
  12. 1H: rsi - 0.457626
  13. 1H: kc_percentage - 0.374318
  14. 1H: kc_width_percentage - 0.121375
  15. ¸
  16. 15m: ema9 - 0.0546456
  17. 15m: ema21 - 0.0552424
  18. 15m: ema50 - 0.0563859
  19. 15m: ema100 - 0.0571797
  20. 15m: price_ema9_diff - 0.0200271
  21. 15m: ema9_ema21_diff - -0.0108035
  22. 15m: ema21_ema50_diff - -0.02028
  23. 15m: price_ema100_diff - -0.0251787
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.515627
  27. 15m: kc_percentage - 0.683125
  28. 15m: kc_width_percentage - 0.0541382
  29. ¸
  30. 5m: ema9 - 0.0547812
  31. 5m: ema21 - 0.0544854
  32. 5m: ema50 - 0.0549554
  33. 5m: ema100 - 0.0558322
  34. 5m: price_ema9_diff - 0.0175008
  35. 5m: ema9_ema21_diff - 0.00542919
  36. 5m: ema21_ema50_diff - -0.00855201
  37. 5m: price_ema100_diff - -0.00165248
  38. 5m: all_emas_in_trend - False
  39. 5m: all_emas_and_price_in_trend - False
  40. 5m: rsi - 0.70404
  41. 5m: kc_percentage - 1.35808
  42. 5m: kc_width_percentage - 0.0262119
  43. ¸

Short Trade on ARC

The 28 May 2025 at 13:17:38

With 808.8 ARC at 0.05574$ per unit.

Take profit at 0.05491 (1.5 %) and Stop Loss at 0.05629 (0.99 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -47.5 %

Symbol Start at Seach Score Trade Score Trades Count
AI16Z 2025-04-04 10:02:07 0.9362 50 1
REZ 2025-05-05 23:45:00 0.9338 -100 1
TAO 2025-05-28 13:16:34 0.9294 40 1
ALCH 2025-05-20 15:09:00 0.9196 -100 3
PAXG 2025-04-06 21:36:52 0.9209 -100 2
STX 2025-05-16 23:49:10 0.9217 -100 1
S 2025-05-16 23:46:30 0.9182 -100 1
ETHFI 2025-06-05 18:51:25 0.9181 30 1

📌 Time Data

Start at Closed at Duration
28 May 2025
13:17:38
28 May 2025
13:25:00
7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05574 0.05629 0.05491 1.5 0.03627
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 0.05574
  • Stop Loss: 0.05629
  • Take Profit: 0.05491

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05629 - 0.05574 = 0.00055

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05574 - 0.05491 = 0.00083

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00083 / 0.00055 = 1.5091

📌 Position Size

Amount Margin Quantity Leverage
808.8 100 14510 8.09
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 0.00055

Taille de position = 8 / 0.00055 = 14545.45

Taille de position USD = 14545.45 x 0.05574 = 810.76

Donc, tu peux acheter 14545.45 avec un stoploss a 0.05629

Avec un position size USD de 810.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 14545.45 x 0.00055 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 14545.45 x 0.00083 = 12.07

Si Take Profit atteint, tu gagneras 12.07$

Résumé

  • Taille de position 14545.45
  • Taille de position USD 810.76
  • Perte potentielle 8
  • Gain potentiel 12.07
  • Risk-Reward Ratio 1.5091

📌 Peformances

TP % Target TP $ Target
1.5 % 12 $
SL % Target SL $ Target
0.99 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.49 -0.14352350197345

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.05464
            [stop_loss] => 0.05629
            [rr_ratio] => 2
            [closed_at] => 2025-05-28 13:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.054365
            [stop_loss] => 0.05629
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-28 13:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.05409
            [stop_loss] => 0.05629
            [rr_ratio] => 3
            [closed_at] => 2025-05-28 13:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.053815
            [stop_loss] => 0.05629
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-28 14:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.05354
            [stop_loss] => 0.05629
            [rr_ratio] => 4
            [closed_at] => 2025-05-28 14:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.053265
            [stop_loss] => 0.05629
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-28 14:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.05299
            [stop_loss] => 0.05629
            [rr_ratio] => 5
            [closed_at] => 2025-05-28 14:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)