Short Trade on DOOD

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Short Trade on DOOD 15 May 2025 at 20:47:40

Take profit at 0.004917 (1.92 %) and Stop Loss at 0.005077 (1.28 %)

Short Trade on DOOD

The 15 May 2025 at 20:47:40

With 125485.9428 DOOD at 0.005013$ per unit.

Position size of 629.061 $

Take profit at 0.004917 (1.92 %) and Stop Loss at 0.005077 (1.28 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 60

ML Pullback Score: 4.26

Prediction Score: -0.4503

Prediction 1	Probability
Weak Trade	0.52

Prediction 2	Probability
1	0.48

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score
5m : 0.531793

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.01
atr: 4.25014405E-5

Details

score: 1.01
1H
ema9 : 0.00496133
ema21 : 0.00511814
ema50 : 0.00544853
ema100 : 0.00582583
price_ema9_diff : 0.0104143
ema9_ema21_diff : -0.0306386
ema21_ema50_diff : -0.0606382
price_ema100_diff : -0.139522
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.419723
kc_percentage : 0.381373
kc_width_percentage : 0.154102
15m
ema9 : 0.00492043
ema21 : 0.00490553
ema50 : 0.00498822
ema100 : 0.00514699
price_ema9_diff : 0.0188114
ema9_ema21_diff : 0.00303886
ema21_ema50_diff : -0.0165776
price_ema100_diff : -0.0260329
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.580828
kc_percentage : 0.834066
kc_width_percentage : 0.0647898
5m
ema9 : 0.00497422
ema21 : 0.00492607
ema50 : 0.00489663
ema100 : 0.00490881
price_ema9_diff : 0.00779614
ema9_ema21_diff : 0.00977421
ema21_ema50_diff : 0.00601217
price_ema100_diff : 0.0212232
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.662173
kc_percentage : 1.00977
kc_width_percentage : 0.0329078
btc_indicators
btc_indicators
5m_ema100:
```
103436
```
5m_price_ema100_diff:
```
0.0033812
```
5m_price:
```
103785
```
5m_correlation_with_coin:
```
0.531793
```
btc_indicators
15m_ema100:
```
103078
```
15m_price_ema100_diff:
```
0.00686595
```
15m_price:
```
103785
```
btc_indicators
1H_ema100:
```
103355
```
1H_price_ema100_diff:
```
0.00416608
```
1H_price:
```
103785
```

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
15 May 2025 20:47:40	15 May 2025 21:15:00	27 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.005013	0.005077	0.004917	1.5	0.003143

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 0.005013
Stop Loss: 0.005077
Take Profit: 0.004917

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.005077 - 0.005013 = 6.4E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.005013 - 0.004917 = 9.6E-5
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 9.6E-5 / 6.4E-5 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
629.061	100	125485.9428	6.29

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 6.4E-5

Taille de position = 8 / 6.4E-5 = 125000

Taille de position USD = 125000 x 0.005013 = 626.63

Donc, tu peux acheter 125000 avec un stoploss a 0.005077

Avec un position size USD de 626.63$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 125000 x 6.4E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 125000 x 9.6E-5 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 125000
Taille de position USD 626.63
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.92 %	12.05 $

SL % Target	SL $ Target
1.28 %	8.03 $

PNL	PNL %
12.05 $	1.92

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.27927388789148 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.004885
            [stop_loss] => 0.005077
            [rr_ratio] => 2
            [closed_at] => 2025-05-15 22:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.004853
            [stop_loss] => 0.005077
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-15 23:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.004821
            [stop_loss] => 0.005077
            [rr_ratio] => 3
            [closed_at] => 2025-05-15 23:20:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000132
            [max_drawdown] => 5.4E-5
            [rr_ratio] => 2.44
            [high] => 0.00506700
            [low] => 0.00488100
            [mfe_pct] => 2.63
            [mae_pct] => 1.08
            [mfe_mae_ratio] => 2.44
            [candles_analyzed] => 24
            [start_at] => 2025-05-15T20:47:40-04:00
            [end_at] => 2025-05-15T22:47:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000208
            [max_drawdown] => 5.4E-5
            [rr_ratio] => 3.85
            [high] => 0.00506700
            [low] => 0.00480500
            [mfe_pct] => 4.15
            [mae_pct] => 1.08
            [mfe_mae_ratio] => 3.85
            [candles_analyzed] => 72
            [start_at] => 2025-05-15T20:47:40-04:00
            [end_at] => 2025-05-16T02:47:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00503100
            [high_after] => 0.00506700
            [low_before] => 0.00466600
            [low_after] => 0.00480500
            [is_new_high] => 
            [is_new_low] => 
        )

)