Long Trade on BCH

Previous Trade Next Trade

Long Trade on BCH 17 Apr 2025 at 19:30:16

Take profit at 335.0408 (0.57 %) and Stop Loss at 331.8895 (0.38 %)

Long Trade on BCH

The 17 Apr 2025 at 19:30:16

With 6.3465 BCH at 333.15$ per unit.

Position size of 2114.3255 $

Take profit at 335.0408 (0.57 %) and Stop Loss at 331.8895 (0.38 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.28

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: 0.17
atr: 0.8403625763

Details

score: 2.17
1H
ema9 : 334.682
ema21 : 332.423
ema50 : 329.568
price_ema9_diff : -0.00461061
ema9_ema21_diff : 0.00679706
ema21_ema50_diff : 0.00866134
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.530782
kc_percentage : 0.532367
kc_width_percentage : 0.049869
15m
ema9 : 335.066
ema21 : 335.368
ema50 : 334.1
price_ema9_diff : -0.00571348
ema9_ema21_diff : -0.000900149
ema21_ema50_diff : 0.00379454
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.414195
kc_percentage : 0.167987
kc_width_percentage : 0.0202487
5m
ema9 : 334.381
ema21 : 335.341
ema50 : 335.747
price_ema9_diff : -0.00367231
ema9_ema21_diff : -0.00286365
ema21_ema50_diff : -0.00120929
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.316822
kc_percentage : -0.167992
kc_width_percentage : 0.0096124

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
17 Apr 2025 19:30:16	17 Apr 2025 20:40:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
333.15	331.8895	335.0408	1.5	467.14

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 333.15
Stop Loss: 331.8895
Take Profit: 335.0408

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 331.8895 - 333.15 = -1.2605
Récompense (distance jusqu'au take profit):

E - TP = 333.15 - 335.0408 = -1.8908
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -1.8908 / -1.2605 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2114.3255	100	6.3465	21.14

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 -1.2605

Taille de position = 8 / -1.2605 = -6.35

Taille de position USD = -6.35 x 333.15 = -2115.5

Donc, tu peux acheter -6.35 avec un stoploss a 331.8895

Avec un position size USD de -2115.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6.35 x -1.2605 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6.35 x -1.8908 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

Taille de position -6.35
Taille de position USD -2115.5
Perte potentielle 8
Gain potentiel 12.01
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.57 %	12 $

SL % Target	SL $ Target
0.38 %	8 $

PNL	PNL %
-7.62 $	-0.36

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.40528369858902 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 335
            [entry_price] => 333.1
            [stop_loss] => 331.78
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-17 20:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 335
            [entry_price] => 333.1
            [stop_loss] => 331.66
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-17 20:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 335
            [entry_price] => 333.1
            [stop_loss] => 331.54
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-17 20:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 335
            [entry_price] => 333.1
            [stop_loss] => 331.3
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-17 20:55:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.70000000000005
            [max_drawdown] => 2.62
            [rr_ratio] => 0.27
            [high] => 333.85000000
            [low] => 330.53000000
            [mfe_pct] => 0.21
            [mae_pct] => 0.79
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 24
            [start_at] => 2025-04-17T19:30:16-04:00
            [end_at] => 2025-04-17T21:30:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.70000000000005
            [max_drawdown] => 6.11
            [rr_ratio] => 0.11
            [high] => 333.85000000
            [low] => 327.04000000
            [mfe_pct] => 0.21
            [mae_pct] => 1.83
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 72
            [start_at] => 2025-04-17T19:30:16-04:00
            [end_at] => 2025-04-18T01:30:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 340.26000000
            [high_after] => 333.85000000
            [low_before] => 331.32000000
            [low_after] => 327.04000000
            [is_new_high] => 
            [is_new_low] => 
        )

)