Short Trade on IP

Previous Trade Next Trade

Short Trade on IP 14 Apr 2025 at 14:52:36

Take profit at 3.532 (4.97 %) and Stop Loss at 3.8399 (3.31 %)

Short Trade on IP

The 14 Apr 2025 at 14:52:36

With 64.9563 IP at 3.7167$ per unit.

Position size of 241.423 $

Take profit at 3.532 (4.97 %) and Stop Loss at 3.8399 (3.31 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.11

Prediction Score:

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: 0.07
atr: 0.08210651184

Details

score: 1.07
1H
ema9 : 3.68782
ema21 : 3.822
ema50 : 3.94803
price_ema9_diff : 0.00755477
ema9_ema21_diff : -0.0351069
ema21_ema50_diff : -0.0319223
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.443824
kc_percentage : 0.375256
kc_width_percentage : 0.209804
15m
ema9 : 3.56226
ema21 : 3.60058
ema50 : 3.73297
price_ema9_diff : 0.0428906
ema9_ema21_diff : -0.0106426
ema21_ema50_diff : -0.0354653
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.545871
kc_percentage : 0.708867
kc_width_percentage : 0.156891
5m
ema9 : 3.59859
ema21 : 3.53172
ema50 : 3.55651
price_ema9_diff : 0.0334397
ema9_ema21_diff : 0.0189359
ema21_ema50_diff : -0.00697164
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.677631
kc_percentage : 1.06952
kc_width_percentage : 0.0861767

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
14 Apr 2025 14:52:36	14 Apr 2025 15:00:00	7 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3.7167	3.8399	3.532	1.5	0.9923

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 3.7167
Stop Loss: 3.8399
Take Profit: 3.532

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3.8399 - 3.7167 = 0.1232
Récompense (distance jusqu'au take profit):

E - TP = 3.7167 - 3.532 = 0.1847
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.1847 / 0.1232 = 1.4992

📌 Position Size

Amount	Margin	Quantity	Leverage
241.423	100	64.9563	2.41

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 0.1232

Taille de position = 8 / 0.1232 = 64.94

Taille de position USD = 64.94 x 3.7167 = 241.36

Donc, tu peux acheter 64.94 avec un stoploss a 3.8399

Avec un position size USD de 241.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 64.94 x 0.1232 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 64.94 x 0.1847 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position 64.94
Taille de position USD 241.36
Perte potentielle 8
Gain potentiel 11.99
Risk-Reward Ratio 1.4992

📌 Peformances

TP % Target	TP $ Target
4.97 %	12 $

SL % Target	SL $ Target
3.31 %	8 $

PNL	PNL %
-7.99 $	-3.31

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-4.1754102771052 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.532
            [entry_price] => 3.717
            [stop_loss] => 3.8523
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-14 15:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.532
            [entry_price] => 3.717
            [stop_loss] => 3.8646
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-14 15:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.532
            [entry_price] => 3.717
            [stop_loss] => 3.8769
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-14 15:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.532
            [entry_price] => 3.717
            [stop_loss] => 3.9015
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-14 15:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0367
            [max_drawdown] => 0.4655
            [rr_ratio] => 0.08
            [high] => 4.18220000
            [low] => 3.68000000
            [mfe_pct] => 0.99
            [mae_pct] => 12.52
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-04-14T14:52:36-04:00
            [end_at] => 2025-04-14T16:52:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0367
            [max_drawdown] => 0.4655
            [rr_ratio] => 0.08
            [high] => 4.18220000
            [low] => 3.68000000
            [mfe_pct] => 0.99
            [mae_pct] => 12.52
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 72
            [start_at] => 2025-04-14T14:52:36-04:00
            [end_at] => 2025-04-14T20:52:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.85430000
            [high_after] => 4.18220000
            [low_before] => 2.94110000
            [low_after] => 3.68000000
            [is_new_high] => 
            [is_new_low] => 
        )

)