Long Trade on AIOZ

Previous Trade Next Trade

Long Trade on AIOZ 10 Jun 2025 at 11:02:54

Take profit at 0.4347 (2.86 %) and Stop Loss at 0.4146 (1.89 %)

Long Trade on AIOZ

The 10 Jun 2025 at 11:02:54

With 994.2164 AIOZ at 0.4226$ per unit.

Position size of 420.1558 $

Take profit at 0.4347 (2.86 %) and Stop Loss at 0.4146 (1.89 %)

That's a 1.51 RR Trade

Results

Status:

win

Trade Type:

buy

ML Trade Score: 60

ML Pullback Score: 3.33

Prediction Score: -0.5179

Prediction 1	Probability
Weak Trade	0.65

Prediction 2	Probability
0	0.54

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score
5m : 0.280087

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.09
atr: 0.005364358647

Details

score: 2.09
1H
ema9 : 0.423097
ema21 : 0.404981
ema50 : 0.377504
ema100 : 0.358301
price_ema9_diff : -0.00117619
ema9_ema21_diff : 0.0447338
ema21_ema50_diff : 0.0727852
price_ema100_diff : 0.179454
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.637859
kc_percentage : 0.759216
kc_width_percentage : 0.148155
volume_ema_diff : 0.774896
15m
ema9 : 0.43323
ema21 : 0.430598
ema50 : 0.417303
ema100 : 0.3995
price_ema9_diff : -0.0245378
ema9_ema21_diff : 0.00611316
ema21_ema50_diff : 0.0318585
price_ema100_diff : 0.0578205
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.454399
kc_percentage : 0.280203
kc_width_percentage : 0.0907834
volume_ema_diff : -0.188459
5m
ema9 : 0.429867
ema21 : 0.434851
ema50 : 0.433031
ema100 : 0.425682
price_ema9_diff : -0.0169053
ema9_ema21_diff : -0.0114626
ema21_ema50_diff : 0.0042033
price_ema100_diff : -0.00724072
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.323345
kc_percentage : -0.0932334
kc_width_percentage : 0.0481867
volume_ema_diff : -0.331854
btc_indicators
btc_indicators
5m_ema100:
```
109281
```
5m_price_ema100_diff:
```
-0.00656022
```
5m_price:
```
108564
```
5m_correlation_with_coin:
```
0.280087
```
btc_indicators
15m_ema100:
```
109025
```
15m_price_ema100_diff:
```
-0.00422761
```
15m_price:
```
108564
```
btc_indicators
1H_ema100:
```
106801
```
1H_price_ema100_diff:
```
0.0165009
```
1H_price:
```
108564
```

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Jun 2025 11:02:54	10 Jun 2025 13:05:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.4226	0.4146	0.4347	1.51	0.1112

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 0.4226
Stop Loss: 0.4146
Take Profit: 0.4347

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.4146 - 0.4226 = -0.008
Récompense (distance jusqu'au take profit):

E - TP = 0.4226 - 0.4347 = -0.0121
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0121 / -0.008 = 1.5125

📌 Position Size

Amount	Margin	Quantity	Leverage
420.1558	100	994.2164	4.20

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 -0.008

Taille de position = 8 / -0.008 = -1000

Taille de position USD = -1000 x 0.4226 = -422.6

Donc, tu peux acheter -1000 avec un stoploss a 0.4146

Avec un position size USD de -422.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1000 x -0.008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1000 x -0.0121 = 12.1

Si Take Profit atteint, tu gagneras 12.1$

Résumé

Taille de position -1000
Taille de position USD -422.6
Perte potentielle 8
Gain potentiel 12.1
Risk-Reward Ratio 1.5125

📌 Peformances

TP % Target	TP $ Target
2.86 %	12.03 $

SL % Target	SL $ Target
1.89 %	7.95 $

PNL	PNL %
12.03 $	2.86

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.7511 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.4386
            [stop_loss] => 0.4146
            [rr_ratio] => 2
            [closed_at] => 2025-06-10 13:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.4426
            [stop_loss] => 0.4146
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-10 14:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.4466
            [stop_loss] => 0.4146
            [rr_ratio] => 3
            [closed_at] => 2025-06-10 15:25:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0114
            [max_drawdown] => 0.0074
            [rr_ratio] => 1.54
            [high] => 0.43400000
            [low] => 0.41520000
            [mfe_pct] => 2.7
            [mae_pct] => 1.75
            [mfe_mae_ratio] => 1.54
            [candles_analyzed] => 24
            [start_at] => 2025-06-10T11:02:54-04:00
            [end_at] => 2025-06-10T13:02:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0259
            [max_drawdown] => 0.0074
            [rr_ratio] => 3.5
            [high] => 0.44850000
            [low] => 0.41520000
            [mfe_pct] => 6.13
            [mae_pct] => 1.75
            [mfe_mae_ratio] => 3.5
            [candles_analyzed] => 72
            [start_at] => 2025-06-10T11:02:54-04:00
            [end_at] => 2025-06-10T17:02:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.46230000
            [high_after] => 0.44850000
            [low_before] => 0.41310000
            [low_after] => 0.41520000
            [is_new_high] => 
            [is_new_low] => 
        )

)