Trade

sell - ONDO

Status

win

2025-03-28 20:34:49

15 minutes

PNL

0.57

Entry: 0.8476

Last: 0.84280000

Results

Status:

win

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.07
atr: 0.0021390835366639

Details

score: 1.07

Short Trade on ONDO

The 28 Mar 2025 at 20:34:49

With 2113 ONDO at 0.8476$ per unit.

Take profit at 0.8428 (0.57 %) and Stop Loss at 0.8508 (0.38 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -3.89 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
LTC	2025-03-28 20:34:49	0.9631	-70	1
GRIFFAIN	2025-05-17 08:21:04	0.9621	-100	2
KAS	2025-03-28 20:30:15	0.9571	100	1
UNI	2025-03-28 20:32:32	0.9551	5	2
PNUT	2025-03-28 20:34:49	0.9521	30	1
PNUT	2025-04-02 05:51:52	0.9459	100	1
PUMP	2025-04-08 20:42:27	0.9501	-100	3
WIF	2025-03-28 20:24:55	0.9478	100	1
1000RATS	2025-05-15 13:50:19	0.9463	-100	1

📌 Time Data

Start at	Closed at	Duration
28 Mar 2025 20:34:49	28 Mar 2025 20:50:00	15 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.8476	0.8508	0.8428	1.5	0.8352

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 0.8476
Stop Loss: 0.8508
Take Profit: 0.8428

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.8508 - 0.8476 = 0.0032
Récompense (distance jusqu'au take profit):

E - TP = 0.8476 - 0.8428 = 0.0048
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0048 / 0.0032 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2113	2113	2493	21.13

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 0.0032

Taille de position = 8 / 0.0032 = 2500

Taille de position USD = 2500 x 0.8476 = 2119

Donc, tu peux acheter 2500 avec un stoploss a 0.8508

Avec un position size USD de 2119$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2500 x 0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2500 x 0.0048 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 2500
Taille de position USD 2119
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.57 %	12 $

SL % Target	SL $ Target
0.38 %	8 $

RR	PNL	PNL %	Max Drawdown
1.5	12 $	0.57	0

📌 ML Extra Data

Extra TP Data


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    [2] => Array
        (
            [take_profit] => 0.8412
            [stop_loss] => 0.8508
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 20:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.8396
            [stop_loss] => 0.8508
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 21:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.838
            [stop_loss] => 0.8508
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 21:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.8364
            [stop_loss] => 0.8508
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 21:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.8348
            [stop_loss] => 0.8508
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 22:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.8332
            [stop_loss] => 0.8508
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 22:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.8316
            [stop_loss] => 0.8508
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 22:40:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)