Short Trade on PAWS

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Short Trade on PAWS 18 Apr 2025 at 19:42:23

Take profit at 0.0001301 (7.27 %) and Stop Loss at 0.0001471 (4.85 %)

Short Trade on PAWS

The 18 Apr 2025 at 19:42:23

With 1174234.5493 PAWS at 0.0001403$ per unit.

Position size of 164.7451 $

Take profit at 0.0001301 (7.27 %) and Stop Loss at 0.0001471 (4.85 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -70

ML Pullback Score: 2.89

Prediction Score: -5.8138

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: 0.21
atr: 4.541965944E-6

Details

score: 1.21
1H
ema9 : 0.000127344
ema21 : 0.000141328
ema50 : 0.000177861
price_ema9_diff : 0.0916699
ema9_ema21_diff : -0.0989487
ema21_ema50_diff : -0.2054
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.442795
kc_percentage : 0.50472
kc_width_percentage : 0.368929
15m
ema9 : 0.00012627
ema21 : 0.000123742
ema50 : 0.000130542
price_ema9_diff : 0.113375
ema9_ema21_diff : 0.0204309
ema21_ema50_diff : -0.0520936
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.670653
kc_percentage : 1.03775
kc_width_percentage : 0.220267
5m
ema9 : 0.000131756
ema21 : 0.000126369
ema50 : 0.000122687
price_ema9_diff : 0.0676069
ema9_ema21_diff : 0.0426267
ema21_ema50_diff : 0.0300108
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.735943
kc_percentage : 1.2119
kc_width_percentage : 0.136293

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 19:42:23	18 Apr 2025 20:10:00	27 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.0001403	0.0001471	0.0001301	1.5	5.63E-5

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 0.0001403
Stop Loss: 0.0001471
Take Profit: 0.0001301

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.0001471 - 0.0001403 = 6.8E-6
Récompense (distance jusqu'au take profit):

E - TP = 0.0001403 - 0.0001301 = 1.02E-5
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 1.02E-5 / 6.8E-6 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
164.7451	100	1174234.5493	1.65

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 6.8E-6

Taille de position = 8 / 6.8E-6 = 1176470.59

Taille de position USD = 1176470.59 x 0.0001403 = 165.06

Donc, tu peux acheter 1176470.59 avec un stoploss a 0.0001471

Avec un position size USD de 165.06$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1176470.59 x 6.8E-6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1176470.59 x 1.02E-5 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 1176470.59
Taille de position USD 165.06
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
7.27 %	11.98 $

SL % Target	SL $ Target
4.85 %	7.98 $

PNL	PNL %
-7.98 $	-4.85

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-5.488239486814 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0001301
            [entry_price] => 0.0001403
            [stop_loss] => 0.00014778
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 20:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0001301
            [entry_price] => 0.0001403
            [stop_loss] => 0.00014846
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 20:15:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.0001301
            [entry_price] => 0.0001403
            [stop_loss] => 0.00014914
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 20:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.0001301
            [entry_price] => 0.0001403
            [stop_loss] => 0.0001505
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 20:15:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.28E-5
            [max_drawdown] => 7.7E-6
            [rr_ratio] => 1.66
            [high] => 0.00014800
            [low] => 0.00012750
            [mfe_pct] => 9.12
            [mae_pct] => 5.49
            [mfe_mae_ratio] => 1.66
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T19:42:23-04:00
            [end_at] => 2025-04-18T21:42:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.0E-5
            [max_drawdown] => 7.7E-6
            [rr_ratio] => 2.6
            [high] => 0.00014800
            [low] => 0.00012030
            [mfe_pct] => 14.26
            [mae_pct] => 5.49
            [mfe_mae_ratio] => 2.6
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T19:42:23-04:00
            [end_at] => 2025-04-19T01:42:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00014380
            [high_after] => 0.00014800
            [low_before] => 0.00010600
            [low_after] => 0.00012030
            [is_new_high] => 
            [is_new_low] => 
        )

)