Long Trade on ARB

Previous Trade Next Trade

Long Trade on ARB 09 Apr 2025 at 19:12:15

Take profit at 0.2957 (0.68 %) and Stop Loss at 0.2923 (0.48 %)

Long Trade on ARB

The 09 Apr 2025 at 19:12:15

With 5853.967 ARB at 0.2937$ per unit.

Position size of 1719.3101 $

Take profit at 0.2957 (0.68 %) and Stop Loss at 0.2923 (0.48 %)

That's a 1.43 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: -0.02

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: 0.01
atr: 0.0009110630971

Details

score: 2.01
1H
ema9 : 0.290885
ema21 : 0.283308
ema50 : 0.27822
price_ema9_diff : 0.0099349
ema9_ema21_diff : 0.026745
ema21_ema50_diff : 0.0182864
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.678341
kc_percentage : 0.995532
kc_width_percentage : 0.068369
15m
ema9 : 0.295434
ema21 : 0.293649
ema50 : 0.2868
price_ema9_diff : -0.00590599
ema9_ema21_diff : 0.00607795
ema21_ema50_diff : 0.0238795
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.547828
kc_percentage : 0.478797
kc_width_percentage : 0.0297101
5m
ema9 : 0.29475
ema21 : 0.295414
ema50 : 0.294584
price_ema9_diff : -0.00355508
ema9_ema21_diff : -0.00224927
ema21_ema50_diff : 0.00281817
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.3502
kc_percentage : -0.0135939
kc_width_percentage : 0.0112089

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 19:12:15	09 Apr 2025 19:50:00	37 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.2937	0.2923	0.2957	1.43	0.105

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 0.2937
Stop Loss: 0.2923
Take Profit: 0.2957

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.2923 - 0.2937 = -0.0014
Récompense (distance jusqu'au take profit):

E - TP = 0.2937 - 0.2957 = -0.002
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.002 / -0.0014 = 1.4286

📌 Position Size

Amount	Margin	Quantity	Leverage
1719.3101	100	5853.967	17.19

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 -0.0014

Taille de position = 8 / -0.0014 = -5714.29

Taille de position USD = -5714.29 x 0.2937 = -1678.29

Donc, tu peux acheter -5714.29 avec un stoploss a 0.2923

Avec un position size USD de -1678.29$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5714.29 x -0.0014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5714.29 x -0.002 = 11.43

Si Take Profit atteint, tu gagneras 11.43$

Résumé

Taille de position -5714.29
Taille de position USD -1678.29
Perte potentielle 8
Gain potentiel 11.43
Risk-Reward Ratio 1.4286

📌 Peformances

TP % Target	TP $ Target
0.68 %	11.71 $

SL % Target	SL $ Target
0.48 %	8.2 $

PNL	PNL %
-8.2 $	-0.48

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.47667688117127 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2957
            [entry_price] => 0.2937
            [stop_loss] => 0.29216
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 20:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2957
            [entry_price] => 0.2937
            [stop_loss] => 0.29202
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 20:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2957
            [entry_price] => 0.2937
            [stop_loss] => 0.29188
            [rr_ratio] => 1.1
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 20:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2957
            [entry_price] => 0.2937
            [stop_loss] => 0.2916
            [rr_ratio] => 0.95
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 20:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -9.9999999999989E-5
            [max_drawdown] => 0.0057
            [rr_ratio] => -0.02
            [high] => 0.29360000
            [low] => 0.28800000
            [mfe_pct] => -0.03
            [mae_pct] => 1.94
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T19:12:15-04:00
            [end_at] => 2025-04-09T21:12:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -9.9999999999989E-5
            [max_drawdown] => 0.0126
            [rr_ratio] => -0.01
            [high] => 0.29360000
            [low] => 0.28110000
            [mfe_pct] => -0.03
            [mae_pct] => 4.29
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T19:12:15-04:00
            [end_at] => 2025-04-10T01:12:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29910000
            [high_after] => 0.29360000
            [low_before] => 0.29310000
            [low_after] => 0.28110000
            [is_new_high] => 
            [is_new_low] => 
        )

)