Short Trade on BTC

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Short Trade on BTC 16 Apr 2025 at 04:40:05

Take profit at 83488.7468 (0.38 %) and Stop Loss at 84012.8354 (0.25 %)

Short Trade on BTC

The 16 Apr 2025 at 04:40:05

With 0.03816 BTC at 83803.2$ per unit.

Position size of 3198.0545 $

Take profit at 83488.7468 (0.38 %) and Stop Loss at 84012.8354 (0.25 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 2.02

Prediction Score:

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
	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: 0.06
atr: 139.7569665

Details

score: 1.06
1H
ema9 : 83646.6
ema21 : 83996.4
ema50 : 84338.1
price_ema9_diff : 0.00186346
ema9_ema21_diff : -0.00416419
ema21_ema50_diff : -0.00405131
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.453907
kc_percentage : 0.41607
kc_width_percentage : 0.0238752
15m
ema9 : 83495.3
ema21 : 83517.7
ema50 : 83747.4
price_ema9_diff : 0.00368626
ema9_ema21_diff : -0.000268001
ema21_ema50_diff : -0.00274332
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.566523
kc_percentage : 0.783685
kc_width_percentage : 0.0121908
5m
ema9 : 83555.3
ema21 : 83471.7
ema50 : 83478
price_ema9_diff : 0.00296868
ema9_ema21_diff : 0.00100165
ema21_ema50_diff : -7.48685E-5
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.666399
kc_percentage : 1.0597
kc_width_percentage : 0.00702335

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
16 Apr 2025 04:40:05	16 Apr 2025 07:10:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
83803.2	84012.8354	83488.7468	1.5	67174.2

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 83803.2
Stop Loss: 84012.8354
Take Profit: 83488.7468

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 84012.8354 - 83803.2 = 209.6354
Récompense (distance jusqu'au take profit):

E - TP = 83803.2 - 83488.7468 = 314.4532
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 314.4532 / 209.6354 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
3198.0545	100	0.03816	31.98

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 209.6354

Taille de position = 8 / 209.6354 = 0.04

Taille de position USD = 0.04 x 83803.2 = 3352.13

Donc, tu peux acheter 0.04 avec un stoploss a 84012.8354

Avec un position size USD de 3352.13$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.04 x 209.6354 = 8.39

Si Stop Loss atteint, tu perdras 8.39$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.04 x 314.4532 = 12.58

Si Take Profit atteint, tu gagneras 12.58$

Résumé

Taille de position 0.04
Taille de position USD 3352.13
Perte potentielle 8.39
Gain potentiel 12.58
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.38 %	12 $

SL % Target	SL $ Target
0.25 %	8 $

PNL	PNL %
-8.01 $	-0.25

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.27147971360382 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 83490
            [entry_price] => 83800
            [stop_loss] => 84031
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-16 07:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 83490
            [entry_price] => 83800
            [stop_loss] => 84052
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-16 07:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 83490
            [entry_price] => 83800
            [stop_loss] => 84073
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-16 07:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 83490
            [entry_price] => 83800
            [stop_loss] => 84115
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-16 08:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 277.39999999999
            [max_drawdown] => 124.8
            [rr_ratio] => 2.22
            [high] => 83928.00000000
            [low] => 83525.80000000
            [mfe_pct] => 0.33
            [mae_pct] => 0.15
            [mfe_mae_ratio] => 2.22
            [candles_analyzed] => 24
            [start_at] => 2025-04-16T04:40:05-04:00
            [end_at] => 2025-04-16T06:40:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 349.8
            [max_drawdown] => 884.40000000001
            [rr_ratio] => 0.4
            [high] => 84687.60000000
            [low] => 83453.40000000
            [mfe_pct] => 0.42
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 72
            [start_at] => 2025-04-16T04:40:05-04:00
            [end_at] => 2025-04-16T10:40:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 84090.00000000
            [high_after] => 84687.60000000
            [low_before] => 83103.20000000
            [low_after] => 83453.40000000
            [is_new_high] => 
            [is_new_low] => 
        )

)