Trade

sell - 1000SATS

Status

win

2025-03-28 04:24:28

20 minutes

PNL

1.30

Entry: 9.2E-5

Last: 0.00009080

Results

Status:

win

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 110

ML Pullback Score: 6.2

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.03
atr: 5.3189560205988E-7

Details

score: 1.03

Short Trade on 1000SATS

The 28 Mar 2025 at 04:24:28

With 10027030.3283 1000SATS at 9.2E-5$ per unit.

Position size of 922.4868 $

Take profit at 9.08E-5 (1.3 %) and Stop Loss at 9.28E-5 (0.87 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -22.33 %

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TRUMP	2025-06-15 06:59:02	0.7532	30	1
ZRO	2025-06-19 05:54:30	0.728	-35	2
PAXG	2025-06-28 06:05:49	0.7272	65	2
DOG	2025-06-20 03:19:53	0.7288	-100	1
EIGEN	2025-06-06 16:32:19	0.7258	-100	1
ZK	2025-06-15 07:03:57	0.7224	56.67	3
HIFI	2025-07-02 04:43:58	0.7162	-100	1
ATOM	2025-07-19 12:29:47	0.7146	30	1
SYRUP	2025-06-14 07:20:58	0.7121	30	1
BB	2025-06-20 16:06:36	0.7107	-100	1

📌 Time Data

Start at	Closed at	Duration
28 Mar 2025 04:24:28	28 Mar 2025 04:45:00	20 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
9.2E-5	9.28E-5	9.08E-5	1.5	4.77E-5

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 9.2E-5
Stop Loss: 9.28E-5
Take Profit: 9.08E-5

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 9.28E-5 - 9.2E-5 = 8.0000000000001E-7
Récompense (distance jusqu'au take profit):

E - TP = 9.2E-5 - 9.08E-5 = 1.2E-6
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 1.2E-6 / 8.0000000000001E-7 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
922.4868	922.4868	10027030.3283	9.22

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 8.0000000000001E-7

Taille de position = 8 / 8.0000000000001E-7 = 10000000

Taille de position USD = 10000000 x 9.2E-5 = 920

Donc, tu peux acheter 10000000 avec un stoploss a 9.28E-5

Avec un position size USD de 920$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000000 x 8.0000000000001E-7 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000000 x 1.2E-6 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 10000000
Taille de position USD 920
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.3 %	12.03 $

SL % Target	SL $ Target
0.87 %	8.02 $

PNL	PNL %
12.03 $	1.30

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

📌 ML Extra Data

Extra TP Data


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    [2] => Array
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            [take_profit] => 9.04E-5
            [stop_loss] => 9.28E-5
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 04:55:00
            [result] => win
        )

    [2.5] => Array
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            [take_profit] => 9.0E-5
            [stop_loss] => 9.28E-5
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 05:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 8.96E-5
            [stop_loss] => 9.28E-5
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 05:00:00
            [result] => win
        )

    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 05:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 8.88E-5
            [stop_loss] => 9.28E-5
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 07:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 8.84E-5
            [stop_loss] => 9.28E-5
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 07:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 8.8E-5
            [stop_loss] => 9.28E-5
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 08:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 8.76E-5
            [stop_loss] => 9.28E-5
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-28 09:25:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
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    [short_term] => Array
        (
            [max_gain] => 2.9E-6
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 2.9
            [high] => 0.00009220
            [low] => 0.00008910
            [mfe_pct] => 3.15
            [mae_pct] => 0.22
            [mfe_mae_ratio] => 14.5
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T04:24:28-04:00
            [end_at] => 2025-03-28T06:24:28-04:00
        )

    [long_term] => Array
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            [max_gain] => 4.7E-6
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 4.7
            [high] => 0.00009220
            [low] => 0.00008730
            [mfe_pct] => 5.11
            [mae_pct] => 0.22
            [mfe_mae_ratio] => 23.5
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T04:24:28-04:00
            [end_at] => 2025-03-28T10:24:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00009220
            [high_after] => 0.00009220
            [low_before] => 0.00008730
            [low_after] => 0.00008730
            [is_new_high] => 
            [is_new_low] => 
        )

)