Short Trade on REZ

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Short Trade on REZ 27 Apr 2025 at 14:38:44

Take profit at 0.01385 (1 %) and Stop Loss at 0.01408 (0.64 %)

Short Trade on REZ

The 27 Apr 2025 at 14:38:44

With 86048.9457 REZ at 0.01399$ per unit.

Position size of 1203.8248 $

Take profit at 0.01385 (1 %) and Stop Loss at 0.01408 (0.64 %)

That's a 1.56 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.74

Prediction Score: 0

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: 0.15
atr: 6.19802287E-5

Details

score: 1.15
1H
ema9 : 0.0139172
ema21 : 0.0140744
ema50 : 0.0142671
price_ema9_diff : 0.00517143
ema9_ema21_diff : -0.0111725
ema21_ema50_diff : -0.0135051
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.455302
kc_percentage : 0.434758
kc_width_percentage : 0.0785476
15m
ema9 : 0.0138456
ema21 : 0.0138561
ema50 : 0.0139541
price_ema9_diff : 0.0104148
ema9_ema21_diff : -0.00075544
ema21_ema50_diff : -0.00702008
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.576397
kc_percentage : 0.784862
kc_width_percentage : 0.0342531
5m
ema9 : 0.0138719
ema21 : 0.0138333
ema50 : 0.0138392
price_ema9_diff : 0.00853179
ema9_ema21_diff : 0.00279117
ema21_ema50_diff : -0.000425065
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.681347
kc_percentage : 1.15383
kc_width_percentage : 0.0169742

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 14:38:44	27 Apr 2025 14:40:00	1 minute

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01399	0.01408	0.01385	1.56	0.002855

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 0.01399
Stop Loss: 0.01408
Take Profit: 0.01385

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01408 - 0.01399 = 9.0E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.01399 - 0.01385 = 0.00014
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00014 / 9.0E-5 = 1.5556

📌 Position Size

Amount	Margin	Quantity	Leverage
1203.8248	100	86048.9457	12.04

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 9.0E-5

Taille de position = 8 / 9.0E-5 = 88888.89

Taille de position USD = 88888.89 x 0.01399 = 1243.56

Donc, tu peux acheter 88888.89 avec un stoploss a 0.01408

Avec un position size USD de 1243.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 88888.89 x 9.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 88888.89 x 0.00014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

Taille de position 88888.89
Taille de position USD 1243.56
Perte potentielle 8
Gain potentiel 12.44
Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target	TP $ Target
1 %	12.05 $

SL % Target	SL $ Target
0.64 %	7.74 $

PNL	PNL %
-7.74 $	-0.64

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.71479628305932 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01385
            [entry_price] => 0.01399
            [stop_loss] => 0.014089
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01385
            [entry_price] => 0.01399
            [stop_loss] => 0.014098
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 14:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01385
            [entry_price] => 0.01399
            [stop_loss] => 0.014107
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 14:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01385
            [entry_price] => 0.01399
            [stop_loss] => 0.014125
            [rr_ratio] => 1.04
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 14:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00015
            [max_drawdown] => 0.00035
            [rr_ratio] => 0.43
            [high] => 0.01434000
            [low] => 0.01384000
            [mfe_pct] => 1.07
            [mae_pct] => 2.5
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T14:38:44-04:00
            [end_at] => 2025-04-27T16:38:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00027
            [max_drawdown] => 0.00041
            [rr_ratio] => 0.66
            [high] => 0.01440000
            [low] => 0.01372000
            [mfe_pct] => 1.93
            [mae_pct] => 2.93
            [mfe_mae_ratio] => 0.66
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T14:38:44-04:00
            [end_at] => 2025-04-27T20:38:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01400000
            [high_after] => 0.01440000
            [low_before] => 0.01363000
            [low_after] => 0.01372000
            [is_new_high] => 
            [is_new_low] => 
        )

)