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Trade

sell - SEI

Status
win
2025-03-31 01:23:41
41 minutes
PNL
0.80
Entry: 0.1741
Last: 0.17270000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.000597617
Details
  1. score: 1
  2. long_trend_details
  3. ema9 - 0.17414
  4. ema21 - 0.176118
  5. ema50 - 0.180663
  6. ema9_ema21_diff - -1.12316
  7. ema21_ema50_diff - -2.51588
  8. ema9_ema50_diff - -3.61078
  9. price_ema21_diff - -1.15169
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - True
    12. ¸

Short Trade on SEI

The 31 Mar 2025 at 01:23:41

With 8924 SEI at 0.1741$ per unit.

Position size of 1554 $

Take profit at 0.1727 (0.8 %) and Stop Loss at 0.175 (0.52 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -5 %

Symbol Start at Seach Score Trade Score Trades Count
BTC 2025-03-31 01:18:40 0.9483 75 2
SKYAI 2025-05-17 17:09:16 0.9418 30 1
RAY 2025-05-31 01:03:55 0.9127 40 1
ADA 2025-06-14 17:43:02 0.9089 -100 1
DEEP 2025-05-02 08:52:26 0.9077 40 2
AIXBT 2025-05-31 01:06:10 0.9058 -100 3
ZETA 2025-03-29 20:12:20 0.9053 -100 2
1000BONK 2025-05-31 01:01:44 0.9053 30 1
BERA 2025-04-07 08:36:35 0.9045 40 1

📌 Time Data

Start at Closed at Duration
31 Mar 2025
01:23:41		 31 Mar 2025
02:05:00		 41 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1741 0.175 0.1727 1.6 0.3216
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 0.1741
  • Stop Loss: 0.175
  • Take Profit: 0.1727

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.175 - 0.1741 = 0.00089999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1741 - 0.1727 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.00089999999999998 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
1554 1554 8924 15.54
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 0.00089999999999998

Taille de position = 8 / 0.00089999999999998 = 8888.89

Taille de position USD = 8888.89 x 0.1741 = 1547.56

Donc, tu peux acheter 8888.89 avec un stoploss a 0.175

Avec un position size USD de 1547.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00089999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1547.56
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.8 % 12 $
SL % Target SL $ Target
0.52 % 8 $
PNL PNL %
12 $ 0.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.25272831705916 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1723
            [stop_loss] => 0.175
            [rr_ratio] => 2
            [closed_at] => 2025-03-31 02:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.17185
            [stop_loss] => 0.175
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-31 02:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1714
            [stop_loss] => 0.175
            [rr_ratio] => 3
            [closed_at] => 2025-03-31 02:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.17095
            [stop_loss] => 0.175
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-31 03:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1705
            [stop_loss] => 0.175
            [rr_ratio] => 4
            [closed_at] => 2025-03-31 03:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.17005
            [stop_loss] => 0.175
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-31 03:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1696
            [stop_loss] => 0.175
            [rr_ratio] => 5
            [closed_at] => 2025-03-31 03:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.16915
            [stop_loss] => 0.175
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-31 03:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1687
            [stop_loss] => 0.175
            [rr_ratio] => 6
            [closed_at] => 2025-03-31 05:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.16825
            [stop_loss] => 0.175
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-31 05:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1678
            [stop_loss] => 0.175
            [rr_ratio] => 7
            [closed_at] => 2025-03-31 05:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)