Short Trade on DOT

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Short Trade on DOT 27 Apr 2025 at 14:47:14

Take profit at 4.0926 (0.45 %) and Stop Loss at 4.1233 (0.3 %)

Short Trade on DOT

The 27 Apr 2025 at 14:47:14

With 651.5294 DOT at 4.111$ per unit.

Position size of 2678.4374 $

Take profit at 4.0926 (0.45 %) and Stop Loss at 4.1233 (0.3 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 3.6

Prediction Score: 1.0268

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.18
atr: 0.008185867375

Details

score: 1.18
1H
ema9 : 4.10673
ema21 : 4.14283
ema50 : 4.18473
price_ema9_diff : 0.00103036
ema9_ema21_diff : -0.00871585
ema21_ema50_diff : -0.0100121
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.413163
kc_percentage : 0.312859
kc_width_percentage : 0.0378331
15m
ema9 : 4.09303
ema21 : 4.09534
ema50 : 4.11704
price_ema9_diff : 0.00438624
ema9_ema21_diff : -0.000562951
ema21_ema50_diff : -0.00527042
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.557854
kc_percentage : 0.73997
kc_width_percentage : 0.0163939
5m
ema9 : 4.09766
ema21 : 4.09012
ema50 : 4.09137
price_ema9_diff : 0.00326079
ema9_ema21_diff : 0.00184391
ema21_ema50_diff : -0.000306296
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.666903
kc_percentage : 1.18039
kc_width_percentage : 0.00736749

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 14:47:14	27 Apr 2025 15:25:00	37 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.111	4.1233	4.0926	1.5	1.539

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 4.111
Stop Loss: 4.1233
Take Profit: 4.0926

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.1233 - 4.111 = 0.012300000000001
Récompense (distance jusqu'au take profit):

E - TP = 4.111 - 4.0926 = 0.0184
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0184 / 0.012300000000001 = 1.4959

📌 Position Size

Amount	Margin	Quantity	Leverage
2678.4374	100	651.5294	26.78

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 0.012300000000001

Taille de position = 8 / 0.012300000000001 = 650.41

Taille de position USD = 650.41 x 4.111 = 2673.84

Donc, tu peux acheter 650.41 avec un stoploss a 4.1233

Avec un position size USD de 2673.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 650.41 x 0.012300000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 650.41 x 0.0184 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

Taille de position 650.41
Taille de position USD 2673.84
Perte potentielle 8
Gain potentiel 11.97
Risk-Reward Ratio 1.4959

📌 Peformances

TP % Target	TP $ Target
0.45 %	11.99 $

SL % Target	SL $ Target
0.3 %	8.01 $

PNL	PNL %
-7.82 $	-0.29

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.29189978107518 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.093
            [entry_price] => 4.111
            [stop_loss] => 4.1242
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.093
            [entry_price] => 4.111
            [stop_loss] => 4.1254
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.093
            [entry_price] => 4.111
            [stop_loss] => 4.1266
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.093
            [entry_price] => 4.111
            [stop_loss] => 4.129
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 15:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.025
            [rr_ratio] => 0.52
            [high] => 4.13600000
            [low] => 4.09800000
            [mfe_pct] => 0.32
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T14:47:14-04:00
            [end_at] => 2025-04-27T16:47:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.065
            [max_drawdown] => 0.033
            [rr_ratio] => 1.97
            [high] => 4.14400000
            [low] => 4.04600000
            [mfe_pct] => 1.58
            [mae_pct] => 0.8
            [mfe_mae_ratio] => 1.97
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T14:47:14-04:00
            [end_at] => 2025-04-27T20:47:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.13600000
            [high_after] => 4.14400000
            [low_before] => 4.05200000
            [low_after] => 4.04600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)