Trade

sell - ETH

Status
win
2025-03-27 21:44:36
1 hour
PNL
0.44
Entry: 2011.97
Last: 2003.16760000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: 140
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 3.9121823535701
Details
  1. score: 1.03

Short Trade on ETH

The 27 Mar 2025 at 21:44:36

With 1.3633 ETH at 2011.97$ per unit.

Position size of 2742.8442 $

Take profit at 2003.1676 (0.44 %) and Stop Loss at 2017.8383 (0.29 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -40.5 %

Symbol Start at Seach Score Trade Score Trades Count
DOGE 2025-03-27 21:44:36 0.9452 100 1
TRUMP 2025-03-27 21:39:35 0.8534 100 2
RFC 2025-04-20 21:22:49 0.8265 -100 1
AI16Z 2025-05-26 22:38:39 0.8257 -100 1
PRAI 2025-05-17 00:23:26 0.8251 -100 2
1000BONK 2025-05-26 22:34:17 0.8183 -35 2
CHILLGUY 2025-05-26 22:32:16 0.8148 -100 1
ENS 2025-06-12 08:35:46 0.8131 -100 1
MUBARAK 2025-06-22 07:21:47 0.8122 30 1
WLD 2025-05-26 22:28:16 0.8087 -100 2

📌 Time Data

Start at Closed at Duration
27 Mar 2025
21:44:36
27 Mar 2025
23:05:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2011.97 2017.8383 2003.1676 1.5 3812.78
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 2011.97
  • Stop Loss: 2017.8383
  • Take Profit: 2003.1676

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2017.8383 - 2011.97 = 5.8682999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 2011.97 - 2003.1676 = 8.8024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 8.8024 / 5.8682999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2742.8442 2742.8442 1.3633 27.43
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 5.8682999999999

Taille de position = 8 / 5.8682999999999 = 1.36

Taille de position USD = 1.36 x 2011.97 = 2736.28

Donc, tu peux acheter 1.36 avec un stoploss a 2017.8383

Avec un position size USD de 2736.28$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.36 x 5.8682999999999 = 7.98

Si Stop Loss atteint, tu perdras 7.98$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1.36 x 8.8024 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

  • Taille de position 1.36
  • Taille de position USD 2736.28
  • Perte potentielle 7.98
  • Gain potentiel 11.97
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.44 % 12 $
SL % Target SL $ Target
0.29 % 8 $
PNL PNL %
12 $ 0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 2000
            [stop_loss] => 2018
            [rr_ratio] => 2
            [closed_at] => 2025-03-27 23:10:00
            [result] => win
        )

    [2.5] => Array
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            [take_profit] => 1997
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            [closed_at] => 2025-03-27 23:10:00
            [result] => win
        )

    [3] => Array
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            [take_profit] => 1994
            [stop_loss] => 2018
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 00:30:00
            [result] => win
        )

    [3.5] => Array
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            [result] => win
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    [4] => Array
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    [5] => Array
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            [stop_loss] => 2018
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 00:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1979
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            [rr_ratio] => 5.5
            [closed_at] => 2025-03-28 00:35:00
            [result] => win
        )

    [6] => Array
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            [take_profit] => 1976
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            [rr_ratio] => 6
            [closed_at] => 2025-03-28 00:35:00
            [result] => win
        )

    [6.5] => Array
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            [take_profit] => 1973
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            [rr_ratio] => 6.5
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            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1970
            [stop_loss] => 2018
            [rr_ratio] => 7
            [closed_at] => 2025-03-28 00:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 17.41
            [max_drawdown] => 3.03
            [rr_ratio] => 5.75
            [high] => 2015.00000000
            [low] => 1994.56000000
            [mfe_pct] => 0.87
            [mae_pct] => 0.15
            [mfe_mae_ratio] => 5.75
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T21:44:36-04:00
            [end_at] => 2025-03-27T23:44:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 112.34
            [max_drawdown] => 3.03
            [rr_ratio] => 37.08
            [high] => 2015.00000000
            [low] => 1899.63000000
            [mfe_pct] => 5.58
            [mae_pct] => 0.15
            [mfe_mae_ratio] => 37.08
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T21:44:36-04:00
            [end_at] => 2025-03-28T03:44:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2018.84000000
            [high_after] => 2015.00000000
            [low_before] => 1991.10000000
            [low_after] => 1899.63000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)