Short Trade on BCH

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Short Trade on BCH 04 May 2025 at 17:43:39

Take profit at 356.8692 (0.33 %) and Stop Loss at 358.8372 (0.22 %)

Short Trade on BCH

The 04 May 2025 at 17:43:39

With 10.1623 BCH at 358.05$ per unit.

Position size of 3638.6278 $

Take profit at 356.8692 (0.33 %) and Stop Loss at 358.8372 (0.22 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -90

ML Pullback Score: 8.44

Prediction Score: -4.2287

Prediction 1	Probability
Weak 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: 0.05
atr: 0.5248132254

Details

score: 1.05
1H
ema9 : 356.505
ema21 : 358.377
ema50 : 362.198
price_ema9_diff : 0.00430938
ema9_ema21_diff : -0.00522316
ema21_ema50_diff : -0.0105496
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.464031
kc_percentage : 0.485824
kc_width_percentage : 0.0297694
15m
ema9 : 356.765
ema21 : 356.124
ema50 : 356.873
price_ema9_diff : 0.00360767
ema9_ema21_diff : 0.00180009
ema21_ema50_diff : -0.00210108
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.634189
kc_percentage : 0.975679
kc_width_percentage : 0.0112389
5m
ema9 : 357.567
ema21 : 356.862
ema50 : 356.082
price_ema9_diff : 0.00135181
ema9_ema21_diff : 0.00197493
ema21_ema50_diff : 0.00219102
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.700571
kc_percentage : 1.04959
kc_width_percentage : 0.00578542

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 17:43:39	04 May 2025 17:50:00	6 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
358.05	358.8372	356.8692	1.5	484.27

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 358.05
Stop Loss: 358.8372
Take Profit: 356.8692

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 358.8372 - 358.05 = 0.78719999999998
Récompense (distance jusqu'au take profit):

E - TP = 358.05 - 356.8692 = 1.1808
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 1.1808 / 0.78719999999998 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
3638.6278	100	10.1623	36.39

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 0.78719999999998

Taille de position = 8 / 0.78719999999998 = 10.16

Taille de position USD = 10.16 x 358.05 = 3637.79

Donc, tu peux acheter 10.16 avec un stoploss a 358.8372

Avec un position size USD de 3637.79$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10.16 x 0.78719999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10.16 x 1.1808 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 10.16
Taille de position USD 3637.79
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.33 %	12 $

SL % Target	SL $ Target
0.22 %	8 $

PNL	PNL %
-8.13 $	-0.22

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.30167597765363 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 356.9
            [entry_price] => 358
            [stop_loss] => 358.88
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-04 17:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 356.9
            [entry_price] => 358
            [stop_loss] => 358.96
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-04 17:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 356.9
            [entry_price] => 358
            [stop_loss] => 359.04
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-04 17:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 356.9
            [entry_price] => 358
            [stop_loss] => 359.2
            [rr_ratio] => 0.92
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-04 18:00:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.66
            [max_drawdown] => 1.03
            [rr_ratio] => 3.55
            [high] => 359.08000000
            [low] => 354.39000000
            [mfe_pct] => 1.02
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 3.55
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T17:43:39-04:00
            [end_at] => 2025-05-04T19:43:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 8.22
            [max_drawdown] => 1.03
            [rr_ratio] => 7.98
            [high] => 359.08000000
            [low] => 349.83000000
            [mfe_pct] => 2.3
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 7.98
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T17:43:39-04:00
            [end_at] => 2025-05-04T23:43:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 358.27000000
            [high_after] => 359.08000000
            [low_before] => 353.68000000
            [low_after] => 349.83000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)