Trade

sell - ARC

Status
win
2025-03-29 05:34:03
35 minutes
PNL
2.12
Entry: 0.04711
Last: 0.04610000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.000458256
Details
  1. score: 1.18
  2. long_trend_details
  3. ema9 - 0.0470464
  4. ema21 - 0.0486159
  5. ema50 - 0.0513642
  6. ema9_ema21_diff - -3.2284
  7. ema21_ema50_diff - -5.35053
  8. ema9_ema50_diff - -8.4062
  9. price_ema21_diff - -3.09765
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
  12. ¸

Short Trade on ARC

The 29 Mar 2025 at 05:34:03

With 11640 ARC at 0.04711$ per unit.

Position size of 548.3 $

Take profit at 0.04608 (2.2 %) and Stop Loss at 0.0478 (1.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -4.29 %

Symbol Start at Seach Score Trade Score Trades Count
FARTCOIN 2025-07-08 14:45:35 0.9247 -100 3
LAYER 2025-06-29 15:28:38 0.9156 40 1
OM 2025-06-20 16:28:01 0.9124 40 2
BCH 2025-04-02 22:02:33 0.9099 -100 3
HOUSE 2025-05-07 14:38:40 0.9094 30 1
MASK 2025-06-06 18:01:01 0.9077 30 1
AIXBT 2025-07-04 05:32:44 0.9066 30 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
05:34:03
29 Mar 2025
06:10:00
35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04711 0.0478 0.04608 1.5 0.03189
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 0.04711
  • Stop Loss: 0.0478
  • Take Profit: 0.04608

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0478 - 0.04711 = 0.00069

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04711 - 0.04608 = 0.00103

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00103 / 0.00069 = 1.4928

📌 Position Size

Amount Margin Quantity Leverage
548.3 548.3 11640 5.48
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 0.00069

Taille de position = 8 / 0.00069 = 11594.2

Taille de position USD = 11594.2 x 0.04711 = 546.2

Donc, tu peux acheter 11594.2 avec un stoploss a 0.0478

Avec un position size USD de 546.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11594.2 x 0.00069 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11594.2 x 0.00103 = 11.94

Si Take Profit atteint, tu gagneras 11.94$

Résumé

  • Taille de position 11594.2
  • Taille de position USD 546.2
  • Perte potentielle 8
  • Gain potentiel 11.94
  • Risk-Reward Ratio 1.4928

📌 Peformances

TP % Target TP $ Target
2.2 % 12 $
SL % Target SL $ Target
1.5 % 8 $
PNL PNL %
12 $ 2.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
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            [take_profit] => 0.04573
            [stop_loss] => 0.0478
            [rr_ratio] => 2
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.045385
            [stop_loss] => 0.0478
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.04504
            [stop_loss] => 0.0478
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

    [3.5] => Array
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            [take_profit] => 0.044695
            [stop_loss] => 0.0478
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.04435
            [stop_loss] => 0.0478
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

    [4.5] => Array
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            [take_profit] => 0.044005
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            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.04366
            [stop_loss] => 0.0478
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.043315
            [stop_loss] => 0.0478
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.04297
            [stop_loss] => 0.0478
            [rr_ratio] => 6
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.042625
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            [rr_ratio] => 6.5
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.04228
            [stop_loss] => 0.0478
            [rr_ratio] => 7
            [closed_at] => 2025-03-29 08:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)