Short Trade on WLD

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Short Trade on WLD 01 May 2025 at 04:54:52

Take profit at 1.0621 (1.26 %) and Stop Loss at 1.0848 (0.85 %)

Short Trade on WLD

The 01 May 2025 at 04:54:52

With 879.1481 WLD at 1.0757$ per unit.

Position size of 945.6996 $

Take profit at 1.0621 (1.26 %) and Stop Loss at 1.0848 (0.85 %)

That's a 1.49 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.81

Prediction Score: 2.2

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
1	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.2
atr: 0.006066478703

Details

score: 1.2
1H
ema9 : 1.06769
ema21 : 1.08075
ema50 : 1.09474
price_ema9_diff : 0.007407
ema9_ema21_diff : -0.0120887
ema21_ema50_diff : -0.0127715
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.481341
kc_percentage : 0.468107
kc_width_percentage : 0.128656
15m
ema9 : 1.05891
ema21 : 1.05811
ema50 : 1.07281
price_ema9_diff : 0.0158614
ema9_ema21_diff : 0.000761677
ema21_ema50_diff : -0.013705
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.573779
kc_percentage : 0.854581
kc_width_percentage : 0.047293
5m
ema9 : 1.06457
ema21 : 1.05832
ema50 : 1.05547
price_ema9_diff : 0.0105103
ema9_ema21_diff : 0.00590759
ema21_ema50_diff : 0.00270346
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.698757
kc_percentage : 1.20429
kc_width_percentage : 0.0224354

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
01 May 2025 04:54:52	01 May 2025 05:45:00	50 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.0757	1.0848	1.0621	1.49	0.4003

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 1.0757
Stop Loss: 1.0848
Take Profit: 1.0621

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.0848 - 1.0757 = 0.0090999999999999
Récompense (distance jusqu'au take profit):

E - TP = 1.0757 - 1.0621 = 0.0136
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0136 / 0.0090999999999999 = 1.4945

📌 Position Size

Amount	Margin	Quantity	Leverage
945.6996	100	879.1481	9.46

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 0.0090999999999999

Taille de position = 8 / 0.0090999999999999 = 879.12

Taille de position USD = 879.12 x 1.0757 = 945.67

Donc, tu peux acheter 879.12 avec un stoploss a 1.0848

Avec un position size USD de 945.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 879.12 x 0.0090999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 879.12 x 0.0136 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

Taille de position 879.12
Taille de position USD 945.67
Perte potentielle 8
Gain potentiel 11.96
Risk-Reward Ratio 1.4945

📌 Peformances

TP % Target	TP $ Target
1.26 %	11.96 $

SL % Target	SL $ Target
0.85 %	8 $

PNL	PNL %
-7.91 $	-0.84

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.1338289962825 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.062
            [entry_price] => 1.076
            [stop_loss] => 1.0859
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-01 05:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.062
            [entry_price] => 1.076
            [stop_loss] => 1.0868
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-01 05:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.062
            [entry_price] => 1.076
            [stop_loss] => 1.0877
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-01 05:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.062
            [entry_price] => 1.076
            [stop_loss] => 1.0895
            [rr_ratio] => 1.04
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-01 05:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0063000000000002
            [max_drawdown] => 0.0292
            [rr_ratio] => 0.22
            [high] => 1.10490000
            [low] => 1.06940000
            [mfe_pct] => 0.59
            [mae_pct] => 2.71
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2025-05-01T04:54:52-04:00
            [end_at] => 2025-05-01T06:54:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0308
            [max_drawdown] => 0.0292
            [rr_ratio] => 1.05
            [high] => 1.10490000
            [low] => 1.04490000
            [mfe_pct] => 2.86
            [mae_pct] => 2.71
            [mfe_mae_ratio] => 1.05
            [candles_analyzed] => 72
            [start_at] => 2025-05-01T04:54:52-04:00
            [end_at] => 2025-05-01T10:54:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.07620000
            [high_after] => 1.10490000
            [low_before] => 1.02330000
            [low_after] => 1.04490000
            [is_new_high] => 
            [is_new_low] => 
        )

)