Short Trade on BCH

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Short Trade on BCH 24 Apr 2025 at 18:40:16

Take profit at 350.5994 (0.43 %) and Stop Loss at 353.1337 (0.29 %)

Short Trade on BCH

The 24 Apr 2025 at 18:40:16

With 7.8915 BCH at 352.12$ per unit.

Position size of 2778.7674 $

Take profit at 350.5994 (0.43 %) and Stop Loss at 353.1337 (0.29 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.39

Prediction Score: 0

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: 0.07
atr: 0.6758296349

Details

score: 1.07
1H
ema9 : 351.186
ema21 : 353.039
ema50 : 353.898
price_ema9_diff : 0.00264515
ema9_ema21_diff : -0.0052503
ema21_ema50_diff : -0.00242759
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.467059
kc_percentage : 0.453216
kc_width_percentage : 0.0479131
15m
ema9 : 350.637
ema21 : 350.651
ema50 : 351.741
price_ema9_diff : 0.00422709
ema9_ema21_diff : -3.93377E-5
ema21_ema50_diff : -0.00309921
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.558975
kc_percentage : 0.743864
kc_width_percentage : 0.0172914
5m
ema9 : 351.178
ema21 : 350.655
ema50 : 350.579
price_ema9_diff : 0.00268618
ema9_ema21_diff : 0.00148976
ema21_ema50_diff : 0.000218695
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.669041
kc_percentage : 1.07321
kc_width_percentage : 0.00716783

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
24 Apr 2025 18:40:16	24 Apr 2025 19:25:00	44 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
352.12	353.1337	350.5994	1.5	460.84

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 352.12
Stop Loss: 353.1337
Take Profit: 350.5994

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 353.1337 - 352.12 = 1.0137
Récompense (distance jusqu'au take profit):

E - TP = 352.12 - 350.5994 = 1.5206
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 1.5206 / 1.0137 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2778.7674	100	7.8915	27.79

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 1.0137

Taille de position = 8 / 1.0137 = 7.89

Taille de position USD = 7.89 x 352.12 = 2778.23

Donc, tu peux acheter 7.89 avec un stoploss a 353.1337

Avec un position size USD de 2778.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7.89 x 1.0137 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7.89 x 1.5206 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 7.89
Taille de position USD 2778.23
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.43 %	12 $

SL % Target	SL $ Target
0.29 %	8 $

PNL	PNL %
-7.89 $	-0.28

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.53393922181198 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 350.6
            [entry_price] => 352.1
            [stop_loss] => 353.2
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-24 19:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 350.6
            [entry_price] => 352.1
            [stop_loss] => 353.3
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-24 19:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 350.6
            [entry_price] => 352.1
            [stop_loss] => 353.4
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-24 19:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 350.6
            [entry_price] => 352.1
            [stop_loss] => 353.6
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-24 19:25:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.1
            [max_drawdown] => 6.71
            [rr_ratio] => 0.16
            [high] => 358.83000000
            [low] => 351.02000000
            [mfe_pct] => 0.31
            [mae_pct] => 1.91
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 24
            [start_at] => 2025-04-24T18:40:16-04:00
            [end_at] => 2025-04-24T20:40:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.96
            [max_drawdown] => 9.06
            [rr_ratio] => 0.44
            [high] => 361.18000000
            [low] => 348.16000000
            [mfe_pct] => 1.12
            [mae_pct] => 2.57
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 72
            [start_at] => 2025-04-24T18:40:16-04:00
            [end_at] => 2025-04-25T00:40:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 352.75000000
            [high_after] => 361.18000000
            [low_before] => 347.72000000
            [low_after] => 348.16000000
            [is_new_high] => 
            [is_new_low] => 
        )

)