Long Trade on DOGE

The 09 Apr 2025 at 23:01:42

With 10998.5249 DOGE at 0.1566$ per unit.

Position size of 1722.699 $

Take profit at 0.1577 (0.7 %) and Stop Loss at 0.1559 (0.45 %)

That's a 1.57 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.38

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: 0.02
atr: 0.0004849135128

Details

score: 2.02
1H
ema9 - 0.157579
ema21 - 0.154531
ema50 - 0.15162
price_ema9_diff - -0.00614569
ema9_ema21_diff - 0.0197236
ema21_ema50_diff - 0.0192038
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.574034
kc_percentage - 0.67065
kc_width_percentage - 0.0701035
15m
ema9 - 0.157627
ema21 - 0.158382
ema50 - 0.156609
price_ema9_diff - -0.0062972
ema9_ema21_diff - -0.00477004
ema21_ema50_diff - 0.0113252
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.395575
kc_percentage - 0.0235804
kc_width_percentage - 0.0233359
5m
ema9 - 0.157206
ema21 - 0.157627
ema50 - 0.158568
price_ema9_diff - -0.00365637
ema9_ema21_diff - -0.00267047
ema21_ema50_diff - -0.00593428
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.31293
kc_percentage - -0.0249098
kc_width_percentage - 0.0117146

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 23:01:42	09 Apr 2025 23:10:00	8 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1566	0.1559	0.1577	1.57	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 0.1566
Stop Loss: 0.1559
Take Profit: 0.1577

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1559 - 0.1566 = -0.00069999999999998
Récompense (distance jusqu'au take profit):

E - TP = 0.1566 - 0.1577 = -0.0011
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0011 / -0.00069999999999998 = 1.5714

📌 Position Size

Amount	Margin	Quantity	Leverage
1722.699	100	10998.5249	17.23

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 -0.00069999999999998

Taille de position = 8 / -0.00069999999999998 = -11428.57

Taille de position USD = -11428.57 x 0.1566 = -1789.71

Donc, tu peux acheter -11428.57 avec un stoploss a 0.1559

Avec un position size USD de -1789.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -11428.57 x -0.00069999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -11428.57 x -0.0011 = 12.57

Si Take Profit atteint, tu gagneras 12.57$

Résumé

Taille de position -11428.57
Taille de position USD -1789.71
Perte potentielle 8
Gain potentiel 12.57
Risk-Reward Ratio 1.5714

📌 Peformances

TP % Target	TP $ Target
0.7 %	12.1 $

SL % Target	SL $ Target
0.45 %	7.7 $

PNL	PNL %
-7.7 $	-0.45

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.2388250319285 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1577
            [entry_price] => 0.1566
            [stop_loss] => 0.15583
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 23:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1577
            [entry_price] => 0.1566
            [stop_loss] => 0.15576
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 23:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1577
            [entry_price] => 0.1566
            [stop_loss] => 0.15569
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 23:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1577
            [entry_price] => 0.1566
            [stop_loss] => 0.15555
            [rr_ratio] => 1.05
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 23:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00019000000000002
            [max_drawdown] => 0.00307
            [rr_ratio] => 0.06
            [high] => 0.15679000
            [low] => 0.15353000
            [mfe_pct] => 0.12
            [mae_pct] => 1.96
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T23:01:42-04:00
            [end_at] => 2025-04-10T01:01:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0017
            [max_drawdown] => 0.00307
            [rr_ratio] => 0.55
            [high] => 0.15830000
            [low] => 0.15353000
            [mfe_pct] => 1.09
            [mae_pct] => 1.96
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T23:01:42-04:00
            [end_at] => 2025-04-10T05:01:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16131000
            [high_after] => 0.15830000
            [low_before] => 0.15637000
            [low_after] => 0.15353000
            [is_new_high] => 
            [is_new_low] => 
        )

)