Short Trade on PNUT

Previous Trade Next Trade

Short Trade on PNUT 15 Apr 2025 at 05:11:11

Take profit at 0.1288 (0.85 %) and Stop Loss at 0.1307 (0.62 %)

Short Trade on PNUT

The 15 Apr 2025 at 05:11:11

With 10398.6864 PNUT at 0.1299$ per unit.

Position size of 1350.8933 $

Take profit at 0.1288 (0.85 %) and Stop Loss at 0.1307 (0.62 %)

That's a 1.37 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -80

ML Pullback Score: 5.86

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: 0.09
atr: 0.0005128852958

Details

score: 1.09
1H
ema9 : 0.129062
ema21 : 0.129975
ema50 : 0.132852
price_ema9_diff : 0.00651777
ema9_ema21_diff : -0.00702537
ema21_ema50_diff : -0.0216505
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.479289
kc_percentage : 0.50382
kc_width_percentage : 0.0847145
15m
ema9 : 0.128821
ema21 : 0.128662
ema50 : 0.128914
price_ema9_diff : 0.00845676
ema9_ema21_diff : 0.00123651
ema21_ema50_diff : -0.00195461
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.586561
kc_percentage : 0.773705
kc_width_percentage : 0.0349775
5m
ema9 : 0.129084
ema21 : 0.128757
ema50 : 0.128596
price_ema9_diff : 0.00641477
ema9_ema21_diff : 0.00253433
ema21_ema50_diff : 0.00125678
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.666205
kc_percentage : 1.08843
kc_width_percentage : 0.0148723

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
15 Apr 2025 05:11:11	15 Apr 2025 05:15:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1299	0.1307	0.1288	1.37	0.04653

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 0.1299
Stop Loss: 0.1307
Take Profit: 0.1288

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1307 - 0.1299 = 0.00080000000000002
Récompense (distance jusqu'au take profit):

E - TP = 0.1299 - 0.1288 = 0.0011
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0011 / 0.00080000000000002 = 1.375

📌 Position Size

Amount	Margin	Quantity	Leverage
1350.8933	100	10398.6864	13.51

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 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.1299 = 1299

Donc, tu peux acheter 10000 avec un stoploss a 0.1307

Avec un position size USD de 1299$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0011 = 11

Si Take Profit atteint, tu gagneras 11$

Résumé

Taille de position 10000
Taille de position USD 1299
Perte potentielle 8
Gain potentiel 11
Risk-Reward Ratio 1.375

📌 Peformances

TP % Target	TP $ Target
0.85 %	11.44 $

SL % Target	SL $ Target
0.62 %	8.32 $

PNL	PNL %
-8.32 $	-0.62

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.7390300230947 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1288
            [entry_price] => 0.1299
            [stop_loss] => 0.13078
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-15 05:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1288
            [entry_price] => 0.1299
            [stop_loss] => 0.13086
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-15 05:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1288
            [entry_price] => 0.1299
            [stop_loss] => 0.13094
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-15 05:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1288
            [entry_price] => 0.1299
            [stop_loss] => 0.1311
            [rr_ratio] => 0.92
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-15 05:30:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00335
            [max_drawdown] => 0.00096000000000002
            [rr_ratio] => 3.49
            [high] => 0.13086000
            [low] => 0.12655000
            [mfe_pct] => 2.58
            [mae_pct] => 0.74
            [mfe_mae_ratio] => 3.49
            [candles_analyzed] => 24
            [start_at] => 2025-04-15T05:11:11-04:00
            [end_at] => 2025-04-15T07:11:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00512
            [max_drawdown] => 0.00096000000000002
            [rr_ratio] => 5.33
            [high] => 0.13086000
            [low] => 0.12478000
            [mfe_pct] => 3.94
            [mae_pct] => 0.74
            [mfe_mae_ratio] => 5.33
            [candles_analyzed] => 72
            [start_at] => 2025-04-15T05:11:11-04:00
            [end_at] => 2025-04-15T11:11:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13175000
            [high_after] => 0.13086000
            [low_before] => 0.12277000
            [low_after] => 0.12478000
            [is_new_high] => 
            [is_new_low] => 
        )

)