Long Trade on ARB

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Long Trade on ARB 09 Apr 2025 at 20:18:04

Take profit at 0.2934 (0.65 %) and Stop Loss at 0.2903 (0.41 %)

Long Trade on ARB

The 09 Apr 2025 at 20:18:04

With 6470.0292 ARB at 0.2915$ per unit.

Position size of 1886.0135 $

Take profit at 0.2934 (0.65 %) and Stop Loss at 0.2903 (0.41 %)

That's a 1.58 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.07

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: 0.05
atr: 0.0008243136416

Details

score: 2.05
1H
ema9 : 0.290912
ema21 : 0.284003
ema50 : 0.278727
price_ema9_diff : 0.00206938
ema9_ema21_diff : 0.0243267
ema21_ema50_diff : 0.0189283
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.63902
kc_percentage : 0.86517
kc_width_percentage : 0.06636
15m
ema9 : 0.293311
ema21 : 0.293174
ema50 : 0.287821
price_ema9_diff : -0.00618016
ema9_ema21_diff : 0.000469966
ema21_ema50_diff : 0.0185986
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.471851
kc_percentage : 0.24981
kc_width_percentage : 0.0246371
5m
ema9 : 0.29235
ema21 : 0.293313
ema50 : 0.293781
price_ema9_diff : -0.00290123
ema9_ema21_diff : -0.00328107
ema21_ema50_diff : -0.00159231
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.306592
kc_percentage : -0.0546945
kc_width_percentage : 0.0108137

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 20:18:04	09 Apr 2025 20:30:00	11 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.2915	0.2903	0.2934	1.58	0.1102

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 0.2915
Stop Loss: 0.2903
Take Profit: 0.2934

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.2903 - 0.2915 = -0.0012
Récompense (distance jusqu'au take profit):

E - TP = 0.2915 - 0.2934 = -0.0019
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0019 / -0.0012 = 1.5833

📌 Position Size

Amount	Margin	Quantity	Leverage
1886.0135	100	6470.0292	18.86

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 -0.0012

Taille de position = 8 / -0.0012 = -6666.67

Taille de position USD = -6666.67 x 0.2915 = -1943.33

Donc, tu peux acheter -6666.67 avec un stoploss a 0.2903

Avec un position size USD de -1943.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6666.67 x -0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6666.67 x -0.0019 = 12.67

Si Take Profit atteint, tu gagneras 12.67$

Résumé

Taille de position -6666.67
Taille de position USD -1943.33
Perte potentielle 8
Gain potentiel 12.67
Risk-Reward Ratio 1.5833

📌 Peformances

TP % Target	TP $ Target
0.65 %	12.29 $

SL % Target	SL $ Target
0.41 %	7.76 $

PNL	PNL %
-7.76 $	-0.41

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.4459691252144 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2934
            [entry_price] => 0.2915
            [stop_loss] => 0.29018
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 20:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2934
            [entry_price] => 0.2915
            [stop_loss] => 0.29006
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 20:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2934
            [entry_price] => 0.2915
            [stop_loss] => 0.28994
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 20:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2934
            [entry_price] => 0.2915
            [stop_loss] => 0.2897
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 20:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00030000000000002
            [max_drawdown] => 0.0043
            [rr_ratio] => 0.07
            [high] => 0.29180000
            [low] => 0.28720000
            [mfe_pct] => 0.1
            [mae_pct] => 1.48
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T20:18:04-04:00
            [end_at] => 2025-04-09T22:18:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00030000000000002
            [max_drawdown] => 0.0104
            [rr_ratio] => 0.03
            [high] => 0.29180000
            [low] => 0.28110000
            [mfe_pct] => 0.1
            [mae_pct] => 3.57
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T20:18:04-04:00
            [end_at] => 2025-04-10T02:18:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29910000
            [high_after] => 0.29180000
            [low_before] => 0.29130000
            [low_after] => 0.28110000
            [is_new_high] => 
            [is_new_low] => 
        )

)