Trade

sell - WLD

Status
loss
2025-03-29 21:23:45
6 minutes
PNL
-0.57
Entry: 0.7831
Last: 0.78760000

Results

Status:
loss
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: -100
ML Pullback Score: 0.17

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.00302779
Details
  1. score: 1.02
  2. long_trend_details
  3. ema9 - 0.777047
  4. ema21 - 0.792026
  5. ema50 - 0.830214
  6. ema9_ema21_diff - -1.8912
  7. ema21_ema50_diff - -4.59987
  8. ema9_ema50_diff - -6.40408
  9. price_ema21_diff - -1.12699
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
  12. ¸

Short Trade on WLD

The 29 Mar 2025 at 21:23:45

With 1761.4608 WLD at 0.7831$ per unit.

Position size of 1379.3999 $

Take profit at 0.7763 (0.87 %) and Stop Loss at 0.7876 (0.57 %)

That's a 1.51 RR Trade

📌 Similar Trades

Similar Trade Score: -78.33 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-03-29 21:18:46 0.9649 -100 2
NEAR 2025-03-29 21:23:45 0.9532 -100 1
SYRUP 2025-06-21 01:59:08 0.9483 -100 1
WLD 2025-05-05 21:24:53 0.9458 30 1
RFC 2025-04-30 19:10:03 0.9372 -13.33 3
AUCTION 2025-03-28 19:13:12 0.9389 -100 1
ETH 2025-03-29 21:13:47 0.9367 -100 1
REZ 2025-04-06 01:20:45 0.9359 -100 1
ZBCN 2025-06-02 14:02:34 0.9357 -100 1
H 2025-07-15 08:22:30 0.9354 -100 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
21:23:45
29 Mar 2025
21:30:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7831 0.7876 0.7763 1.51 1.2512
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 0.7831
  • Stop Loss: 0.7876
  • Take Profit: 0.7763

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7876 - 0.7831 = 0.0044999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7831 - 0.7763 = 0.0068

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0068 / 0.0044999999999999 = 1.5111

📌 Position Size

Amount Margin Quantity Leverage
1379.3999 1379.3999 1761.4608 13.79
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 0.0044999999999999

Taille de position = 8 / 0.0044999999999999 = 1777.78

Taille de position USD = 1777.78 x 0.7831 = 1392.18

Donc, tu peux acheter 1777.78 avec un stoploss a 0.7876

Avec un position size USD de 1392.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1777.78 x 0.0044999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1777.78 x 0.0068 = 12.09

Si Take Profit atteint, tu gagneras 12.09$

Résumé

  • Taille de position 1777.78
  • Taille de position USD 1392.18
  • Perte potentielle 8
  • Gain potentiel 12.09
  • Risk-Reward Ratio 1.5111

📌 Peformances

TP % Target TP $ Target
0.87 % 11.98 $
SL % Target SL $ Target
0.57 % 7.93 $
PNL PNL %
-7.93 $ -0.57
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.65125782147874 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7763
            [entry_price] => 0.7831
            [stop_loss] => 0.78805
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 21:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7763
            [entry_price] => 0.7831
            [stop_loss] => 0.7885
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 21:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.7763
            [entry_price] => 0.7831
            [stop_loss] => 0.78895
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 21:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.7763
            [entry_price] => 0.7831
            [stop_loss] => 0.78985
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 21:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0021
            [max_drawdown] => 0.0169
            [rr_ratio] => 0.12
            [high] => 0.80000000
            [low] => 0.78100000
            [mfe_pct] => 0.27
            [mae_pct] => 2.16
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T21:23:45-04:00
            [end_at] => 2025-03-29T23:23:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0021
            [max_drawdown] => 0.0169
            [rr_ratio] => 0.12
            [high] => 0.80000000
            [low] => 0.78100000
            [mfe_pct] => 0.27
            [mae_pct] => 2.16
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T21:23:45-04:00
            [end_at] => 2025-03-30T03:23:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.78430000
            [high_after] => 0.80000000
            [low_before] => 0.76280000
            [low_after] => 0.78100000
            [is_new_high] => 
            [is_new_low] => 
        )

)