Short Trade on DARK

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Short Trade on DARK 03 May 2025 at 19:02:26

Take profit at 0.01729 (2.48 %) and Stop Loss at 0.01802 (1.64 %)

Short Trade on DARK

The 03 May 2025 at 19:02:26

With 27271.0311 DARK at 0.01773$ per unit.

Position size of 483.5154 $

Take profit at 0.01729 (2.48 %) and Stop Loss at 0.01802 (1.64 %)

That's a 1.52 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 90

ML Pullback Score: 8

Prediction Score: -7.0811

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
0	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: 0.02
atr: 0.0001955677185

Details

score: 1.02
1H
ema9 : 0.0176963
ema21 : 0.0185833
ema50 : 0.0195171
price_ema9_diff : 0.00181274
ema9_ema21_diff : -0.0477317
ema21_ema50_diff : -0.0478455
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.4091
kc_percentage : 0.293173
kc_width_percentage : 0.215688
15m
ema9 : 0.017388
ema21 : 0.0173638
ema50 : 0.0179319
price_ema9_diff : 0.0196939
ema9_ema21_diff : 0.0013902
ema21_ema50_diff : -0.0316779
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.552654
kc_percentage : 0.742716
kc_width_percentage : 0.0869894
5m
ema9 : 0.0174462
ema21 : 0.0173214
ema50 : 0.017277
price_ema9_diff : 0.0163802
ema9_ema21_diff : 0.00720357
ema21_ema50_diff : 0.00257163
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.650191
kc_percentage : 1.022
kc_width_percentage : 0.0435338

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 May 2025 19:02:26	03 May 2025 19:25:00	22 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01773	0.01802	0.01729	1.52	0.00252

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 0.01773
Stop Loss: 0.01802
Take Profit: 0.01729

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01802 - 0.01773 = 0.00029
Récompense (distance jusqu'au take profit):

E - TP = 0.01773 - 0.01729 = 0.00044
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00044 / 0.00029 = 1.5172

📌 Position Size

Amount	Margin	Quantity	Leverage
483.5154	100	27271.0311	4.84

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 0.00029

Taille de position = 8 / 0.00029 = 27586.21

Taille de position USD = 27586.21 x 0.01773 = 489.1

Donc, tu peux acheter 27586.21 avec un stoploss a 0.01802

Avec un position size USD de 489.1$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 27586.21 x 0.00029 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 27586.21 x 0.00044 = 12.14

Si Take Profit atteint, tu gagneras 12.14$

Résumé

Taille de position 27586.21
Taille de position USD 489.1
Perte potentielle 8
Gain potentiel 12.14
Risk-Reward Ratio 1.5172

📌 Peformances

TP % Target	TP $ Target
2.48 %	12 $

SL % Target	SL $ Target
1.64 %	7.91 $

PNL	PNL %
12 $	2.48

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

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01715
            [stop_loss] => 0.01802
            [rr_ratio] => 2
            [closed_at] => 2025-05-03 19:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.017005
            [stop_loss] => 0.01802
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-03 19:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01686
            [stop_loss] => 0.01802
            [rr_ratio] => 3
            [closed_at] => 2025-05-03 22:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.016715
            [stop_loss] => 0.01802
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-03 22:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01657
            [stop_loss] => 0.01802
            [rr_ratio] => 4
            [closed_at] => 2025-05-03 23:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.016425
            [stop_loss] => 0.01802
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-03 23:05:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00085
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.01770000
            [low] => 0.01688000
            [mfe_pct] => 4.79
            [mae_pct] => -0.17
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T19:02:26-04:00
            [end_at] => 2025-05-03T21:02:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00134
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.01770000
            [low] => 0.01639000
            [mfe_pct] => 7.56
            [mae_pct] => -0.17
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T19:02:26-04:00
            [end_at] => 2025-05-04T01:02:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01785000
            [high_after] => 0.01770000
            [low_before] => 0.01683000
            [low_after] => 0.01639000
            [is_new_high] => 
            [is_new_low] => 1
        )

)