Short Trade on BTC

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Short Trade on BTC 04 May 2025 at 16:06:05

Take profit at 95480.4859 (0.12 %) and Stop Loss at 95678.176 (0.083 %)

Short Trade on BTC

The 04 May 2025 at 16:06:05

With 0.1012 BTC at 95599.1$ per unit.

Position size of 9671.6125 $

Take profit at 95480.4859 (0.12 %) and Stop Loss at 95678.176 (0.083 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -80

ML Pullback Score: 10

Prediction Score: -9.1415

Prediction 1	Probability
Weak 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: 0.08
atr: 52.71735895

Details

score: 1.08
1H
ema9 : 95478.7
ema21 : 95610.8
ema50 : 95845
price_ema9_diff : 0.00125913
ema9_ema21_diff : -0.0013816
ema21_ema50_diff : -0.00244433
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.47311
kc_percentage : 0.50112
kc_width_percentage : 0.0106319
15m
ema9 : 95472.5
ema21 : 95440.4
ema50 : 95505.2
price_ema9_diff : 0.00132582
ema9_ema21_diff : 0.000336764
ema21_ema50_diff : -0.000678891
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.59495
kc_percentage : 0.846161
kc_width_percentage : 0.00479236
5m
ema9 : 95538.3
ema21 : 95479.1
ema50 : 95435.3
price_ema9_diff : 0.000635809
ema9_ema21_diff : 0.000620887
ema21_ema50_diff : 0.000458074
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.63351
kc_percentage : 1.08078
kc_width_percentage : 0.00210055

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 16:06:05	04 May 2025 17:00:00	53 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
95599.1	95678.176	95480.4859	1.5	67782.4

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 95599.1
Stop Loss: 95678.176
Take Profit: 95480.4859

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 95678.176 - 95599.1 = 79.076000000001
Récompense (distance jusqu'au take profit):

E - TP = 95599.1 - 95480.4859 = 118.61410000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 118.61410000001 / 79.076000000001 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
9671.6125	100	0.1012	96.72

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 79.076000000001

Taille de position = 8 / 79.076000000001 = 0.1

Taille de position USD = 0.1 x 95599.1 = 9559.91

Donc, tu peux acheter 0.1 avec un stoploss a 95678.176

Avec un position size USD de 9559.91$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.1 x 79.076000000001 = 7.91

Si Stop Loss atteint, tu perdras 7.91$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.1 x 118.61410000001 = 11.86

Si Take Profit atteint, tu gagneras 11.86$

Résumé

Taille de position 0.1
Taille de position USD 9559.91
Perte potentielle 7.91
Gain potentiel 11.86
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.12 %	12 $

SL % Target	SL $ Target
0.083 %	8 $

PNL	PNL %
-8.09 $	-0.08

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.094142259414226 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 95480
            [entry_price] => 95600
            [stop_loss] => 95688
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-04 17:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 95480
            [entry_price] => 95600
            [stop_loss] => 95696
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-04 17:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 95480
            [entry_price] => 95600
            [stop_loss] => 95704
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-04 18:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 95480
            [entry_price] => 95600
            [stop_loss] => 95720
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-04 18:00:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 549.10000000001
            [max_drawdown] => 101.89999999999
            [rr_ratio] => 5.39
            [high] => 95701.00000000
            [low] => 95050.00000000
            [mfe_pct] => 0.57
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 5.39
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T16:06:05-04:00
            [end_at] => 2025-05-04T18:06:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2142.8
            [max_drawdown] => 101.89999999999
            [rr_ratio] => 21.03
            [high] => 95701.00000000
            [low] => 93456.30000000
            [mfe_pct] => 2.24
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 21.03
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T16:06:05-04:00
            [end_at] => 2025-05-04T22:06:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 95614.90000000
            [high_after] => 95701.00000000
            [low_before] => 95211.00000000
            [low_after] => 93456.30000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)