Trade

buy - DOGE

Status

loss

2025-03-26 09:54:46

14 seconds

PNL

-0.81

Entry: 0.1987

Last: 0.19710000

Results

Status:

loss

Trade Type:

buy

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

ML Pullback Score: 0.1

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.16
atr: 0.0010792617603444

Details

score: 2.16

Long Trade on DOGE

The 26 Mar 2025 at 09:54:46

With 4941.6495 DOGE at 0.1987$ per unit.

Position size of 981.9552 $

Take profit at 0.2011 (1.21 %) and Stop Loss at 0.1971 (0.81 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 2.92 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
SOL	2025-07-06 15:46:44	0.9757	60	1
SOL	2025-04-22 15:41:17	0.9656	100	1
RENDER	2025-05-22 17:20:26	0.9671	30	2
ADA	2025-03-26 09:34:46	0.9681	-100	1
BB	2025-07-09 20:10:36	0.9678	-100	1
C98	2025-07-16 02:05:12	0.9674	30	1
FIL	2025-07-09 21:04:54	0.9655	35	2
BOME	2025-07-16 18:54:38	0.966	-100	1
RARE	2025-04-03 09:22:26	0.9646	-100	1
SKYAI	2025-07-02 19:05:17	0.9629	60	1
SWEAT	2025-06-15 15:57:36	0.9628	30	1
DEEP	2025-04-23 01:32:24	0.9622	90	1

📌 Time Data

Start at	Closed at	Duration
26 Mar 2025 09:54:46	26 Mar 2025 09:55:00	14 seconds

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1987	0.1971	0.2011	1.5	0.2612

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 0.1987
Stop Loss: 0.1971
Take Profit: 0.2011

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1971 - 0.1987 = -0.0016
Récompense (distance jusqu'au take profit):

E - TP = 0.1987 - 0.2011 = -0.0024
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0024 / -0.0016 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
981.9552	981.9552	4941.6495	9.82

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 0.1987 = -993.5

Donc, tu peux acheter -5000 avec un stoploss a 0.1971

Avec un position size USD de -993.5$

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 -0.0024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -5000
Taille de position USD -993.5
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.21 %	11.86 $

SL % Target	SL $ Target
0.81 %	7.91 $

PNL	PNL %
-7.91 $	-0.81

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

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2011
            [entry_price] => 0.1987
            [stop_loss] => 0.19694
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-26 10:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2011
            [entry_price] => 0.1987
            [stop_loss] => 0.19678
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-26 10:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2011
            [entry_price] => 0.1987
            [stop_loss] => 0.19662
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-26 10:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2011
            [entry_price] => 0.1987
            [stop_loss] => 0.1963
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-26 10:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00035000000000002
            [max_drawdown] => 0.00404
            [rr_ratio] => 0.09
            [high] => 0.19905000
            [low] => 0.19466000
            [mfe_pct] => 0.18
            [mae_pct] => 2.03
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 24
            [start_at] => 2025-03-26T09:54:46-04:00
            [end_at] => 2025-03-26T11:54:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00035000000000002
            [max_drawdown] => 0.00705
            [rr_ratio] => 0.05
            [high] => 0.19905000
            [low] => 0.19165000
            [mfe_pct] => 0.18
            [mae_pct] => 3.55
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 72
            [start_at] => 2025-03-26T09:54:46-04:00
            [end_at] => 2025-03-26T15:54:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.20573000
            [high_after] => 0.19905000
            [low_before] => 0.19793000
            [low_after] => 0.19165000
            [is_new_high] => 
            [is_new_low] => 
        )

)