Long Trade on BCH

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Long Trade on BCH 14 Apr 2025 at 00:00:12

Take profit at 354.209 (2.07 %) and Stop Loss at 342.2274 (1.38 %)

Long Trade on BCH

The 14 Apr 2025 at 00:00:12

With 1.6692 BCH at 347.02$ per unit.

Position size of 579.2542 $

Take profit at 354.209 (2.07 %) and Stop Loss at 342.2274 (1.38 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.38

Prediction Score:

Prediction 1	Probability
Strong 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: 0.14
atr: 3.195096692

Details

score: 2.14
1H
ema9 : 347.669
ema21 : 345.219
ema50 : 337.098
price_ema9_diff : -0.00188061
ema9_ema21_diff : 0.00709607
ema21_ema50_diff : 0.0240912
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.541383
kc_percentage : 0.551617
kc_width_percentage : 0.0878184
15m
ema9 : 353.321
ema21 : 351.952
ema50 : 348.658
price_ema9_diff : -0.0179056
ema9_ema21_diff : 0.00389091
ema21_ema50_diff : 0.00944749
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.442931
kc_percentage : 0.26394
kc_width_percentage : 0.0621666
5m
ema9 : 353.291
ema21 : 355.248
ema50 : 353.47
price_ema9_diff : -0.0176533
ema9_ema21_diff : -0.00550878
ema21_ema50_diff : 0.00502954
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.360778
kc_percentage : -0.14185
kc_width_percentage : 0.0368456

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
14 Apr 2025 00:00:12	14 Apr 2025 02:05:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
347.02	342.2274	354.209	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 347.02
Stop Loss: 342.2274
Take Profit: 354.209

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 342.2274 - 347.02 = -4.7926
Récompense (distance jusqu'au take profit):

E - TP = 347.02 - 354.209 = -7.189
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -7.189 / -4.7926 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
579.2542	100	1.6692	5.79

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 -4.7926

Taille de position = 8 / -4.7926 = -1.67

Taille de position USD = -1.67 x 347.02 = -579.52

Donc, tu peux acheter -1.67 avec un stoploss a 342.2274

Avec un position size USD de -579.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1.67 x -4.7926 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1.67 x -7.189 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

Taille de position -1.67
Taille de position USD -579.52
Perte potentielle 8
Gain potentiel 12.01
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.07 %	12 $

SL % Target	SL $ Target
1.38 %	8 $

PNL	PNL %
-8.01 $	-1.38

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.4409221902017 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 354.2
            [entry_price] => 347
            [stop_loss] => 341.72
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-14 02:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 354.2
            [entry_price] => 347
            [stop_loss] => 341.24
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-14 02:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 354.2
            [entry_price] => 347
            [stop_loss] => 340.76
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-14 03:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 354.2
            [entry_price] => 347
            [stop_loss] => 339.8
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-14 03:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 5.58
            [max_drawdown] => 3.99
            [rr_ratio] => 1.4
            [high] => 352.60000000
            [low] => 343.03000000
            [mfe_pct] => 1.61
            [mae_pct] => 1.15
            [mfe_mae_ratio] => 1.4
            [candles_analyzed] => 24
            [start_at] => 2025-04-14T00:00:12-04:00
            [end_at] => 2025-04-14T02:00:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.58
            [max_drawdown] => 12.74
            [rr_ratio] => 0.44
            [high] => 352.60000000
            [low] => 334.28000000
            [mfe_pct] => 1.61
            [mae_pct] => 3.67
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 72
            [start_at] => 2025-04-14T00:00:12-04:00
            [end_at] => 2025-04-14T06:00:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 373.32000000
            [high_after] => 352.60000000
            [low_before] => 343.80000000
            [low_after] => 334.28000000
            [is_new_high] => 
            [is_new_low] => 
        )

)