Short Trade on DOT

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Short Trade on DOT 07 May 2025 at 17:24:28

Take profit at 3.906 (0.53 %) and Stop Loss at 3.941 (0.36 %)

Short Trade on DOT

The 07 May 2025 at 17:24:28

With 571.0737 DOT at 3.927$ per unit.

Position size of 2242.6063 $

Take profit at 3.906 (0.53 %) and Stop Loss at 3.941 (0.36 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.11

Prediction Score: 1.9881

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
1	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.06
atr: 0.009339133738

Details

score: 1.06
1H
ema9 : 3.92306
ema21 : 3.93255
ema50 : 3.93565
price_ema9_diff : 0.00100177
ema9_ema21_diff : -0.00241506
ema21_ema50_diff : -0.000788057
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.485062
kc_percentage : 0.461657
kc_width_percentage : 0.0353547
15m
ema9 : 3.91035
ema21 : 3.91192
ema50 : 3.92633
price_ema9_diff : 0.00425424
ema9_ema21_diff : -0.00039973
ema21_ema50_diff : -0.00367111
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.539197
kc_percentage : 0.692196
kc_width_percentage : 0.0206108
5m
ema9 : 3.91279
ema21 : 3.90749
ema50 : 3.90776
price_ema9_diff : 0.00363597
ema9_ema21_diff : 0.00135623
ema21_ema50_diff : -6.94601E-5
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.634434
kc_percentage : 1.06104
kc_width_percentage : 0.00876466

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
07 May 2025 17:24:28	07 May 2025 17:30:00	5 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3.927	3.941	3.906	1.5	1.572

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 3.927
Stop Loss: 3.941
Take Profit: 3.906

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3.941 - 3.927 = 0.014
Récompense (distance jusqu'au take profit):

E - TP = 3.927 - 3.906 = 0.021
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.021 / 0.014 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2242.6063	100	571.0737	22.43

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 0.014

Taille de position = 8 / 0.014 = 571.43

Taille de position USD = 571.43 x 3.927 = 2244.01

Donc, tu peux acheter 571.43 avec un stoploss a 3.941

Avec un position size USD de 2244.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 571.43 x 0.014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 571.43 x 0.021 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 571.43
Taille de position USD 2244.01
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.53 %	11.99 $

SL % Target	SL $ Target
0.36 %	8 $

PNL	PNL %
-8 $	-0.36

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.45836516424751 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.906
            [entry_price] => 3.927
            [stop_loss] => 3.9424
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-07 17:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.906
            [entry_price] => 3.927
            [stop_loss] => 3.9438
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-07 17:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.906
            [entry_price] => 3.927
            [stop_loss] => 3.9452
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-07 18:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.906
            [entry_price] => 3.927
            [stop_loss] => 3.948
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-07 18:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0060000000000002
            [max_drawdown] => 0.055
            [rr_ratio] => 0.11
            [high] => 3.98200000
            [low] => 3.92100000
            [mfe_pct] => 0.15
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-05-07T17:24:28-04:00
            [end_at] => 2025-05-07T19:24:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0060000000000002
            [max_drawdown] => 0.203
            [rr_ratio] => 0.03
            [high] => 4.13000000
            [low] => 3.92100000
            [mfe_pct] => 0.15
            [mae_pct] => 5.17
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 72
            [start_at] => 2025-05-07T17:24:28-04:00
            [end_at] => 2025-05-07T23:24:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.93800000
            [high_after] => 4.13000000
            [low_before] => 3.88000000
            [low_after] => 3.92100000
            [is_new_high] => 
            [is_new_low] => 
        )

)