Short Trade on DOT

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Short Trade on DOT 04 May 2025 at 10:24:24

Take profit at 3.9598 (0.51 %) and Stop Loss at 3.9935 (0.34 %)

Short Trade on DOT

The 04 May 2025 at 10:24:24

With 593.5263 DOT at 3.98$ per unit.

Position size of 2362.2347 $

Take profit at 3.9598 (0.51 %) and Stop Loss at 3.9935 (0.34 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -60

ML Pullback Score: 7.6

Prediction Score: -1.5622

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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: 0.09
atr: 0.008985841505

Details

score: 1.09
1H
ema9 : 3.97653
ema21 : 4.00689
ema50 : 4.05919
price_ema9_diff : 0.000864494
ema9_ema21_diff : -0.00757728
ema21_ema50_diff : -0.0128848
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.406471
kc_percentage : 0.321718
kc_width_percentage : 0.034451
15m
ema9 : 3.96046
ema21 : 3.96673
ema50 : 3.98723
price_ema9_diff : 0.00492438
ema9_ema21_diff : -0.00158016
ema21_ema50_diff : -0.00514259
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.539314
kc_percentage : 0.709397
kc_width_percentage : 0.0167537
5m
ema9 : 3.96124
ema21 : 3.95764
ema50 : 3.96306
price_ema9_diff : 0.00473895
ema9_ema21_diff : 0.000909537
ema21_ema50_diff : -0.00136738
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.650339
kc_percentage : 1.0898
kc_width_percentage : 0.00952865

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 10:24:24	04 May 2025 11:00:00	35 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3.98	3.9935	3.9598	1.5	1.524

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 3.98
Stop Loss: 3.9935
Take Profit: 3.9598

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3.9935 - 3.98 = 0.0135
Récompense (distance jusqu'au take profit):

E - TP = 3.98 - 3.9598 = 0.0202
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0202 / 0.0135 = 1.4963

📌 Position Size

Amount	Margin	Quantity	Leverage
2362.2347	100	593.5263	23.62

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 0.0135

Taille de position = 8 / 0.0135 = 592.59

Taille de position USD = 592.59 x 3.98 = 2358.51

Donc, tu peux acheter 592.59 avec un stoploss a 3.9935

Avec un position size USD de 2358.51$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 592.59 x 0.0135 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 592.59 x 0.0202 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

Taille de position 592.59
Taille de position USD 2358.51
Perte potentielle 8
Gain potentiel 11.97
Risk-Reward Ratio 1.4963

📌 Peformances

TP % Target	TP $ Target
0.51 %	11.99 $

SL % Target	SL $ Target
0.34 %	8.01 $

PNL	PNL %
-7.72 $	-0.33

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.35175879396986 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.96
            [entry_price] => 3.98
            [stop_loss] => 3.9943
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-04 11:40:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 3.96
            [entry_price] => 3.98
            [stop_loss] => 3.9956
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-04 11:40:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 3.96
            [entry_price] => 3.98
            [stop_loss] => 3.9969
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-04 11:40:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 3.96
            [entry_price] => 3.98
            [stop_loss] => 3.9995
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-04 11:40:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.042
            [max_drawdown] => 0.014
            [rr_ratio] => 3
            [high] => 3.99400000
            [low] => 3.93800000
            [mfe_pct] => 1.06
            [mae_pct] => 0.35
            [mfe_mae_ratio] => 3
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T10:24:24-04:00
            [end_at] => 2025-05-04T12:24:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.084
            [max_drawdown] => 0.014
            [rr_ratio] => 6
            [high] => 3.99400000
            [low] => 3.89600000
            [mfe_pct] => 2.11
            [mae_pct] => 0.35
            [mfe_mae_ratio] => 6
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T10:24:24-04:00
            [end_at] => 2025-05-04T16:24:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.98100000
            [high_after] => 3.99400000
            [low_before] => 3.92400000
            [low_after] => 3.89600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)