Trade

sell - AI16Z

Status

win

2025-03-29 21:13:47

31 minutes

PNL

1.43

Entry: 0.1606

Last: 0.15830000

Results

Status:

win

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.15
atr: 0.0010375

Details

score: 1.15
long_trend_details: ema9 - 0.157989
long_trend_details: ema21 - 0.162339
long_trend_details: ema50 - 0.172346
long_trend_details: ema9_ema21_diff - -2.67983
long_trend_details: ema21_ema50_diff - -5.80606
long_trend_details: ema9_ema50_diff - -8.33031
long_trend_details: price_ema21_diff - -1.07153
long_trend_details: all_emas_in_trend - True
long_trend_details: all_emas_and_price_in_trend - False

Short Trade on AI16Z

The 29 Mar 2025 at 21:13:47

With 825.6 AI16Z at 0.1606$ per unit.

Take profit at 0.1583 (1.4 %) and Stop Loss at 0.1622 (1 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -50.71 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
UNI	2025-03-29 21:13:47	0.9661	-100	1
ETH	2025-03-29 21:13:47	0.9563	-100	1
APT	2025-05-30 05:11:10	0.9448	-35	4
MEW	2025-05-03 21:22:42	0.9434	-30	4
WLD	2025-03-29 21:13:47	0.9476	-100	1
ACT	2025-04-02 05:51:52	0.9399	100	1
AIXBT	2025-04-02 11:42:31	0.9397	-90	1

📌 Time Data

Start at	Closed at	Duration
29 Mar 2025 21:13:47	29 Mar 2025 21:45:00	31 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1606	0.1622	0.1583	1.4	0.2171

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 0.1606
Stop Loss: 0.1622
Take Profit: 0.1583

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1622 - 0.1606 = 0.0016
Récompense (distance jusqu'au take profit):

E - TP = 0.1606 - 0.1583 = 0.0023
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0023 / 0.0016 = 1.4375

📌 Position Size

Amount	Margin	Quantity	Leverage
825.6	825.6	5141	8.26

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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.1606 = 803

Donc, tu peux acheter 5000 avec un stoploss a 0.1622

Avec un position size USD de 803$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0023 = 11.5

Si Take Profit atteint, tu gagneras 11.5$

Résumé

Taille de position 5000
Taille de position USD 803
Perte potentielle 8
Gain potentiel 11.5
Risk-Reward Ratio 1.4375

📌 Peformances

TP % Target	TP $ Target
1.4 %	12 $

SL % Target	SL $ Target
1 %	8.2 $

RR	PNL	PNL %	Max Drawdown
1.4	12 $	1.43	-0.18679950186799

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1574
            [stop_loss] => 0.1622
            [rr_ratio] => 2
            [closed_at] => 2025-03-30 00:10:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1566
            [stop_loss] => 0.1622
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-30 00:10:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1558
            [stop_loss] => 0.1622
            [rr_ratio] => 3
            [closed_at] => 2025-03-30 00:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.155
            [stop_loss] => 0.1622
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-30 00:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1542
            [stop_loss] => 0.1622
            [rr_ratio] => 4
            [closed_at] => 2025-03-30 00:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1534
            [stop_loss] => 0.1622
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-30 00:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1526
            [stop_loss] => 0.1622
            [rr_ratio] => 5
            [closed_at] => 2025-03-30 00:10:00
            [result] => loss
        )

)

Extra SL data


                              Array
(
)