Trade

buy - WAL

Status
win
2025-04-01 19:04:32
50 minutes
PNL
1.80
Entry: 0.5394
Last: 0.54910000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 40
ML Pullback Score: 2.46

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.00433249
Details
  1. score: 2.06
  2. long_trend_details
  3. ema9 - 0.549367
  4. ema21 - 0.536033
  5. ema50 - 0.502888
  6. ema9_ema21_diff - 2.48756
  7. ema21_ema50_diff - 6.59096
  8. ema9_ema50_diff - 9.24249
  9. price_ema21_diff - 0.628017
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
  12. ¸

Long Trade on WAL

The 01 Apr 2025 at 19:04:32

With 1231.0088 WAL at 0.5394$ per unit.

Position size of 664.0061 $

Take profit at 0.5491 (1.8 %) and Stop Loss at 0.5329 (1.21 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -87.43 %

Symbol Start at Seach Score Trade Score Trades Count
API3 2025-03-31 18:29:04 0.8888 -100 2
ETC 2025-07-19 07:52:22 0.8898 -100 1
LUMIA 2025-07-11 17:46:20 0.875 -100 1
WAVES 2025-05-14 16:24:40 0.8704 -100 2
SLERF 2025-07-11 18:18:46 0.873 -100 1
BGB 2025-05-15 14:52:28 0.8684 -22 5
ORCA 2025-04-20 04:12:00 0.8635 -90 1

📌 Time Data

Start at Closed at Duration
01 Apr 2025
19:04:32
01 Apr 2025
19:55:00
50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5394 0.5329 0.5491 1.49 0.4549
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 0.5394
  • Stop Loss: 0.5329
  • Take Profit: 0.5491

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5329 - 0.5394 = -0.0065

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5394 - 0.5491 = -0.0097

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0097 / -0.0065 = 1.4923

📌 Position Size

Amount Margin Quantity Leverage
664.0061 664.0061 1231.0088 6.64
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 -0.0065

Taille de position = 8 / -0.0065 = -1230.77

Taille de position USD = -1230.77 x 0.5394 = -663.88

Donc, tu peux acheter -1230.77 avec un stoploss a 0.5329

Avec un position size USD de -663.88$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1230.77 x -0.0065 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1230.77 x -0.0097 = 11.94

Si Take Profit atteint, tu gagneras 11.94$

Résumé

  • Taille de position -1230.77
  • Taille de position USD -663.88
  • Perte potentielle 8
  • Gain potentiel 11.94
  • Risk-Reward Ratio 1.4923

📌 Peformances

TP % Target TP $ Target
1.8 % 11.94 $
SL % Target SL $ Target
1.21 % 8 $
PNL PNL %
11.94 $ 1.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0196514645903 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 0.5524
            [stop_loss] => 0.5329
            [rr_ratio] => 2
            [closed_at] => 2025-04-01 20:00:00
            [result] => win
        )

    [2.5] => Array
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            [take_profit] => 0.55565
            [stop_loss] => 0.5329
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-01 21:10:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.5589
            [stop_loss] => 0.5329
            [rr_ratio] => 3
            [closed_at] => 2025-04-01 21:10:00
            [result] => loss
        )

    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-04-01 21:10:00
            [result] => loss
        )

    [4] => Array
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            [rr_ratio] => 4
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    [4.5] => Array
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            [result] => loss
        )

    [5] => Array
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            [take_profit] => 0.5719
            [stop_loss] => 0.5329
            [rr_ratio] => 5
            [closed_at] => 2025-04-01 21:10:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 0.57515
            [stop_loss] => 0.5329
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-01 21:10:00
            [result] => loss
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    [6] => Array
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            [rr_ratio] => 6
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            [result] => loss
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    [6.5] => Array
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            [result] => loss
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    [7] => Array
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            [rr_ratio] => 7
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            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
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            [max_gain] => 0.0155
            [max_drawdown] => 0.0059
            [rr_ratio] => 2.63
            [high] => 0.55490000
            [low] => 0.53350000
            [mfe_pct] => 2.87
            [mae_pct] => 1.09
            [mfe_mae_ratio] => 2.63
            [candles_analyzed] => 24
            [start_at] => 2025-04-01T19:04:32-04:00
            [end_at] => 2025-04-01T21:04:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0155
            [max_drawdown] => 0.0264
            [rr_ratio] => 0.59
            [high] => 0.55490000
            [low] => 0.51300000
            [mfe_pct] => 2.87
            [mae_pct] => 4.89
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 72
            [start_at] => 2025-04-01T19:04:32-04:00
            [end_at] => 2025-04-02T01:04:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.57060000
            [high_after] => 0.55490000
            [low_before] => 0.53750000
            [low_after] => 0.51300000
            [is_new_high] => 
            [is_new_low] => 
        )

)