Long Trade on DOGE

The 09 Apr 2025 at 21:35:10

With 9162.1089 DOGE at 0.1571$ per unit.

Position size of 1439.3673 $

Take profit at 0.1584 (0.83 %) and Stop Loss at 0.1562 (0.57 %)

That's a 1.44 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.46

Prediction Score:

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.07
atr: 0.0005821076099

Details

score: 2.07
1H
ema9 - 0.157948
ema21 - 0.154018
ema50 - 0.151144
price_ema9_diff - -0.0055085
ema9_ema21_diff - 0.0255129
ema21_ema50_diff - 0.0190173
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.586261
kc_percentage - 0.723132
kc_width_percentage - 0.080868
15m
ema9 - 0.158585
ema21 - 0.159134
ema50 - 0.156386
price_ema9_diff - -0.00933454
ema9_ema21_diff - -0.00345143
ema21_ema50_diff - 0.0175719
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.417315
kc_percentage - 0.0619992
kc_width_percentage - 0.0300496
5m
ema9 - 0.15773
ema21 - 0.15846
ema50 - 0.159461
price_ema9_diff - -0.00397987
ema9_ema21_diff - -0.00460785
ema21_ema50_diff - -0.00627569
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.287082
kc_percentage - -0.0693028
kc_width_percentage - 0.0145637

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 21:35:10	09 Apr 2025 23:05:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1571	0.1562	0.1584	1.44	0.137

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 0.1571
Stop Loss: 0.1562
Take Profit: 0.1584

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1562 - 0.1571 = -0.00089999999999998
Récompense (distance jusqu'au take profit):

E - TP = 0.1571 - 0.1584 = -0.0013
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0013 / -0.00089999999999998 = 1.4444

📌 Position Size

Amount	Margin	Quantity	Leverage
1439.3673	100	9162.1089	14.39

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 -0.00089999999999998

Taille de position = 8 / -0.00089999999999998 = -8888.89

Taille de position USD = -8888.89 x 0.1571 = -1396.44

Donc, tu peux acheter -8888.89 avec un stoploss a 0.1562

Avec un position size USD de -1396.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8888.89 x -0.00089999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8888.89 x -0.0013 = 11.56

Si Take Profit atteint, tu gagneras 11.56$

Résumé

Taille de position -8888.89
Taille de position USD -1396.44
Perte potentielle 8
Gain potentiel 11.56
Risk-Reward Ratio 1.4444

📌 Peformances

TP % Target	TP $ Target
0.83 %	11.91 $

SL % Target	SL $ Target
0.57 %	8.25 $

PNL	PNL %
-8.25 $	-0.57

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.61107574793125 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.1571
            [stop_loss] => 0.15611
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 23:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.1571
            [stop_loss] => 0.15602
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 23:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.1571
            [stop_loss] => 0.15593
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 23:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1584
            [entry_price] => 0.1571
            [stop_loss] => 0.15575
            [rr_ratio] => 0.96
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 23:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00113
            [max_drawdown] => 0.00357
            [rr_ratio] => 0.32
            [high] => 0.15823000
            [low] => 0.15353000
            [mfe_pct] => 0.72
            [mae_pct] => 2.27
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T21:35:10-04:00
            [end_at] => 2025-04-09T23:35:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.00357
            [rr_ratio] => 0.34
            [high] => 0.15830000
            [low] => 0.15353000
            [mfe_pct] => 0.76
            [mae_pct] => 2.27
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T21:35:10-04:00
            [end_at] => 2025-04-10T03:35:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16349000
            [high_after] => 0.15830000
            [low_before] => 0.15666000
            [low_after] => 0.15353000
            [is_new_high] => 
            [is_new_low] => 
        )

)