Long Trade on BCH

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Long Trade on BCH 12 Apr 2025 at 17:20:13

Take profit at 348.442 (0.69 %) and Stop Loss at 344.4387 (0.46 %)

Long Trade on BCH

The 12 Apr 2025 at 17:20:13

With 4.9959 BCH at 346.04$ per unit.

Position size of 1728.7812 $

Take profit at 348.442 (0.69 %) and Stop Loss at 344.4387 (0.46 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.37

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.18
atr: 1.067542048

Details

score: 2.18
1H
ema9 : 342.057
ema21 : 330.856
ema50 : 316.79
price_ema9_diff : 0.0120368
ema9_ema21_diff : 0.0338548
ema21_ema50_diff : 0.0444028
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.738234
kc_percentage : 1.13887
kc_width_percentage : 0.065396
15m
ema9 : 348.496
ema21 : 346.404
ema50 : 337.218
price_ema9_diff : -0.00709026
ema9_ema21_diff : 0.0060383
ema21_ema50_diff : 0.0272414
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.541513
kc_percentage : 0.433102
kc_width_percentage : 0.0291268
5m
ema9 : 347.59
ema21 : 348.87
ema50 : 347.907
price_ema9_diff : -0.00444363
ema9_ema21_diff : -0.00367031
ema21_ema50_diff : 0.00276988
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.317002
kc_percentage : -0.18024
kc_width_percentage : 0.0118098

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
12 Apr 2025 17:20:13	12 Apr 2025 18:35:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
346.04	344.4387	348.442	1.5	481.11

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 346.04
Stop Loss: 344.4387
Take Profit: 348.442

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 344.4387 - 346.04 = -1.6013
Récompense (distance jusqu'au take profit):

E - TP = 346.04 - 348.442 = -2.402
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -2.402 / -1.6013 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1728.7812	100	4.9959	17.29

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 -1.6013

Taille de position = 8 / -1.6013 = -5

Taille de position USD = -5 x 346.04 = -1730.2

Donc, tu peux acheter -5 avec un stoploss a 344.4387

Avec un position size USD de -1730.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5 x -1.6013 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5 x -2.402 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

Taille de position -5
Taille de position USD -1730.2
Perte potentielle 8.01
Gain potentiel 12.01
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.69 %	12 $

SL % Target	SL $ Target
0.46 %	8 $

PNL	PNL %
-7.99 $	-0.46

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.4971098265896 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 348.4
            [entry_price] => 346
            [stop_loss] => 344.24
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-12 18:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 348.4
            [entry_price] => 346
            [stop_loss] => 344.08
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-12 18:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 348.4
            [entry_price] => 346
            [stop_loss] => 343.92
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-12 18:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 348.4
            [entry_price] => 346
            [stop_loss] => 343.6
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-12 18:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.16
            [max_drawdown] => 3.15
            [rr_ratio] => 0.37
            [high] => 347.20000000
            [low] => 342.89000000
            [mfe_pct] => 0.34
            [mae_pct] => 0.91
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-04-12T17:20:13-04:00
            [end_at] => 2025-04-12T19:20:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.16
            [max_drawdown] => 8.74
            [rr_ratio] => 0.13
            [high] => 347.20000000
            [low] => 337.30000000
            [mfe_pct] => 0.34
            [mae_pct] => 2.53
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 72
            [start_at] => 2025-04-12T17:20:13-04:00
            [end_at] => 2025-04-12T23:20:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 352.55000000
            [high_after] => 347.20000000
            [low_before] => 343.97000000
            [low_after] => 337.30000000
            [is_new_high] => 
            [is_new_low] => 
        )

)