Trade

buy - SHIB

Status

win

2025-04-24 23:02:37

32 minutes

PNL

0.88

Entry: 1.369E-5

Last: 0.00001381

Results

Status:

win

Trade Type:

buy

Prediction Score: -3.2737

Prediction 1	Accuracy
Strong Trade	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 120

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.02
atr: 5.436689678E-8

Details

score: 2.02
1H
ema9 - 1.36849E-5
ema21 - 1.35611E-5
ema50 - 1.34125E-5
price_ema9_diff - 0.000370061
ema9_ema21_diff - 0.00913239
ema21_ema50_diff - 0.0110816
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.578881
kc_percentage - 0.675535
kc_width_percentage - 0.0507145
15m
ema9 - 1.37841E-5
ema21 - 1.37577E-5
ema50 - 1.3633E-5
price_ema9_diff - -0.00684112
ema9_ema21_diff - 0.00191963
ema21_ema50_diff - 0.00914219
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.467817
kc_percentage - 0.311754
kc_width_percentage - 0.027967
5m
ema9 - 1.37483E-5
ema21 - 1.38042E-5
ema50 - 1.37892E-5
price_ema9_diff - -0.00422582
ema9_ema21_diff - -0.0040472
ema21_ema50_diff - 0.00108466
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.344228
kc_percentage - -0.0180607
kc_width_percentage - 0.0158015

Long Trade on SHIB

The 24 Apr 2025 at 23:02:37

With 98100000 SHIB at 1.369E-5$ per unit.

Position size of 1343 $

Take profit at 1.381E-5 (0.88 %) and Stop Loss at 1.361E-5 (0.58 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -34.29 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
POPCAT	2025-04-24 22:59:52	0.9546	0	2
SYRUP	2025-06-25 11:08:39	0.9591	-100	2
RENDER	2025-04-17 15:01:38	0.9578	-100	1
PNUT	2025-04-24 22:55:56	0.9567	100	1
FARTCOIN	2025-05-18 14:03:30	0.9528	-100	3
SAND	2025-04-24 22:52:12	0.9532	-70	1
LISTA	2025-06-23 21:10:08	0.9491	30	2

📌 Time Data

Start at	Closed at	Duration
24 Apr 2025 23:02:37	24 Apr 2025 23:35:00	32 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.369E-5	1.361E-5	1.381E-5	1.5	1.181E-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 1.369E-5
Stop Loss: 1.361E-5
Take Profit: 1.381E-5

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.361E-5 - 1.369E-5 = -7.9999999999999E-8
Récompense (distance jusqu'au take profit):

E - TP = 1.369E-5 - 1.381E-5 = -1.2E-7
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -1.2E-7 / -7.9999999999999E-8 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1343	100	98100000	13.43

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 -7.9999999999999E-8

Taille de position = 8 / -7.9999999999999E-8 = -100000000

Taille de position USD = -100000000 x 1.369E-5 = -1369

Donc, tu peux acheter -100000000 avec un stoploss a 1.361E-5

Avec un position size USD de -1369$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -100000000 x -7.9999999999999E-8 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -100000000 x -1.2E-7 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -100000000
Taille de position USD -1369
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.88 %	12 $

SL % Target	SL $ Target
0.58 %	7.8 $

PNL	PNL %
12 $	0.88

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

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 1.385E-5
            [stop_loss] => 1.361E-5
            [rr_ratio] => 2
            [closed_at] => 2025-04-24 23:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.389E-5
            [stop_loss] => 1.361E-5
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-24 23:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.393E-5
            [stop_loss] => 1.361E-5
            [rr_ratio] => 3
            [closed_at] => 2025-04-24 23:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.397E-5
            [stop_loss] => 1.361E-5
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-25 00:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.401E-5
            [stop_loss] => 1.361E-5
            [rr_ratio] => 4
            [closed_at] => 2025-04-25 00:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.405E-5
            [stop_loss] => 1.361E-5
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-25 02:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.409E-5
            [stop_loss] => 1.361E-5
            [rr_ratio] => 5
            [closed_at] => 2025-04-25 02:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.413E-5
            [stop_loss] => 1.361E-5
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-25 02:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.417E-5
            [stop_loss] => 1.361E-5
            [rr_ratio] => 6
            [closed_at] => 2025-04-25 03:55:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)