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Trade

sell - ARC

Status
win
2025-03-27 10:44:59
35 minutes
PNL
2.21
Entry: 0.05429
Last: 0.05310000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 30
ML Pullback Score: 1.98

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.00053045644339024
Details
  1. score: 1.12

Short Trade on ARC

The 27 Mar 2025 at 10:44:59

With 10054.2342 ARC at 0.05429$ per unit.

Position size of 545.8444 $

Take profit at 0.0531 (2.19 %) and Stop Loss at 0.05509 (1.47 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -67.5 %

Symbol Start at Seach Score Trade Score Trades Count
AAVE 2025-06-15 06:42:45 0.8784 -100 1
USELESS 2025-07-21 21:45:36 0.8619 -100 1
NC 2025-06-29 20:09:02 0.8567 -100 2
ZRO 2025-06-19 06:01:09 0.8564 30 1
BCH 2025-04-10 03:36:05 0.8429 -2.5 4
ORDI 2025-05-31 14:25:28 0.8355 -100 3
IP 2025-05-09 10:39:41 0.8319 -100 1

📌 Time Data

Start at Closed at Duration
27 Mar 2025
10:44:59		 27 Mar 2025
11:20:00		 35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05429 0.05509 0.0531 1.49 0.02845
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 0.05429
  • Stop Loss: 0.05509
  • Take Profit: 0.0531

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05509 - 0.05429 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05429 - 0.0531 = 0.00119

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00119 / 0.0008 = 1.4875

📌 Position Size

Amount Margin Quantity Leverage
545.8444 545.8444 10054.2342 5.46
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.05429 = 542.9

Donc, tu peux acheter 10000 avec un stoploss a 0.05509

Avec un position size USD de 542.9$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.00119 = 11.9

Si Take Profit atteint, tu gagneras 11.9$

Résumé

  • Taille de position 10000
  • Taille de position USD 542.9
  • Perte potentielle 8
  • Gain potentiel 11.9
  • Risk-Reward Ratio 1.4875

📌 Peformances

TP % Target TP $ Target
2.19 % 11.96 $
SL % Target SL $ Target
1.47 % 8.04 $
PNL PNL %
12.06 $ 2.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.05269
            [stop_loss] => 0.05509
            [rr_ratio] => 2
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.05229
            [stop_loss] => 0.05509
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.05189
            [stop_loss] => 0.05509
            [rr_ratio] => 3
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.05149
            [stop_loss] => 0.05509
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.05109
            [stop_loss] => 0.05509
            [rr_ratio] => 4
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.05069
            [stop_loss] => 0.05509
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.05029
            [stop_loss] => 0.05509
            [rr_ratio] => 5
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.04989
            [stop_loss] => 0.05509
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.04949
            [stop_loss] => 0.05509
            [rr_ratio] => 6
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.04909
            [stop_loss] => 0.05509
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.04869
            [stop_loss] => 0.05509
            [rr_ratio] => 7
            [closed_at] => 2025-03-27 12:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00156
            [max_drawdown] => 0.00095
            [rr_ratio] => 1.64
            [high] => 0.05524000
            [low] => 0.05273000
            [mfe_pct] => 2.87
            [mae_pct] => 1.75
            [mfe_mae_ratio] => 1.64
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T10:44:59-04:00
            [end_at] => 2025-03-27T12:44:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00247
            [max_drawdown] => 0.00223
            [rr_ratio] => 1.11
            [high] => 0.05652000
            [low] => 0.05182000
            [mfe_pct] => 4.55
            [mae_pct] => 4.11
            [mfe_mae_ratio] => 1.11
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T10:44:59-04:00
            [end_at] => 2025-03-27T16:44:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05455000
            [high_after] => 0.05652000
            [low_before] => 0.05110000
            [low_after] => 0.05182000
            [is_new_high] => 
            [is_new_low] => 
        )

)