Long Trade on ARPA

Previous Trade Next Trade

Long Trade on ARPA 26 Jul 2025 at 20:41:10

Take profit at 0.02493 (0.73 %) and Stop Loss at 0.02463 (0.48 %)

Long Trade on ARPA

The 26 Jul 2025 at 20:41:10

With 66346.6096 ARPA at 0.02475$ per unit.

Position size of 1642.0786 $

Take profit at 0.02493 (0.73 %) and Stop Loss at 0.02463 (0.48 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

buy

ML Trade Score: 40

ML Pullback Score: 4.32

Prediction Score: -0.3614

Prediction 1	Probability
Weak Trade	0.6

Prediction 2	Probability
0	0.57

Prediction 3	Probability
1	0.51

BTC Market Regime	Coin Market Regime

BTC Correlation	Score
5m : 0.476671

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.25
atr: 8.038592119E-5

Details

score: 2.25
1H
ema9 : 0.0250115
ema21 : 0.0247416
ema50 : 0.0241783
ema100 : 0.0240034
price_ema9_diff : -0.0104583
ema9_ema21_diff : 0.0109115
ema21_ema50_diff : 0.0232964
price_ema100_diff : 0.031103
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.524109
adx : 0.417767
kc_percentage : 0.489659
kc_width_percentage : 0.0777179
volume_ema_diff : -0.48068
volume_ema1 : 85844.612052167
volume_ema2 : 165302.18856379
15m
ema9 : 0.02503
ema21 : 0.0250676
ema50 : 0.0250012
ema100 : 0.0246952
price_ema9_diff : -0.0111866
ema9_ema21_diff : -0.00150227
ema21_ema50_diff : 0.00265662
price_ema100_diff : 0.00221579
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.449487
adx : 0.0982015
kc_percentage : -0.0244108
kc_width_percentage : 0.0243143
volume_ema_diff : -0.789674
volume_ema1 : 10040.542767521
volume_ema2 : 47738.088566116
5m
ema9 : 0.0249197
ema21 : 0.0249988
ema50 : 0.0250516
ema100 : 0.0250726
price_ema9_diff : -0.00681097
ema9_ema21_diff : -0.0031648
ema21_ema50_diff : -0.00210643
price_ema100_diff : -0.0128684
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.309605
adx : 0.201082
kc_percentage : -0.249429
kc_width_percentage : 0.0131943
volume_ema_diff : -0.271413
volume_ema1 : 4692.1607854753
volume_ema2 : 6440.0851420463
btc_indicators
btc_indicators
5m_ema100:
```
117993
```
5m_price_ema100_diff:
```
-0.00128067
```
5m_price:
```
117842
```
5m_correlation_with_coin:
```
0.476671
```
btc_indicators
15m_ema100:
```
117827
```
15m_price_ema100_diff:
```
0.000462868
```
15m_price:
```
117882
```
btc_indicators
1H_ema100:
```
117837
```
1H_price_ema100_diff:
```
4.22477E-5
```
1H_price:
```
117842
```

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
26 Jul 2025 20:41:10	26 Jul 2025 21:05:00	23 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.02475	0.02463	0.02493	1.5	0.00998

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 0.02475
Stop Loss: 0.02463
Take Profit: 0.02493

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.02463 - 0.02475 = -0.00012
Récompense (distance jusqu'au take profit):

E - TP = 0.02475 - 0.02493 = -0.00018
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00018 / -0.00012 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1642.0786	100	66346.6096	16.42

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 -0.00012

Taille de position = 8 / -0.00012 = -66666.67

Taille de position USD = -66666.67 x 0.02475 = -1650

Donc, tu peux acheter -66666.67 avec un stoploss a 0.02463

Avec un position size USD de -1650$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -66666.67 x -0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -66666.67 x -0.00018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -66666.67
Taille de position USD -1650
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.73 %	11.94 $

SL % Target	SL $ Target
0.48 %	7.96 $

PNL	PNL %
11.94 $	0.73

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.3232 %	66.67 %	4

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02499
            [stop_loss] => 0.02463
            [rr_ratio] => 2
            [closed_at] => 2025-07-26 21:40:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00027
            [max_drawdown] => 8.0E-5
            [rr_ratio] => 3.37
            [high] => 0.02502000
            [low] => 0.02467000
            [mfe_pct] => 1.09
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 3.37
            [candles_analyzed] => 24
            [start_at] => 2025-07-26T20:41:10-04:00
            [end_at] => 2025-07-26T22:41:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00027
            [max_drawdown] => 0.0001
            [rr_ratio] => 2.7
            [high] => 0.02502000
            [low] => 0.02465000
            [mfe_pct] => 1.09
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 2.7
            [candles_analyzed] => 84
            [start_at] => 2025-07-26T20:41:10-04:00
            [end_at] => 2025-07-27T03:41:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02529000
            [high_after] => 0.02502000
            [low_before] => 0.02474000
            [low_after] => 0.02465000
            [is_new_high] => 
            [is_new_low] => 
        )

)