Short Trade on CHILLGUY

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Short Trade on CHILLGUY 18 Apr 2025 at 23:11:35

Take profit at 0.02179 (1.4 %) and Stop Loss at 0.02231 (0.95 %)

Short Trade on CHILLGUY

The 18 Apr 2025 at 23:11:35

With 38440.1366 CHILLGUY at 0.0221$ per unit.

Position size of 849.527 $

Take profit at 0.02179 (1.4 %) and Stop Loss at 0.02231 (0.95 %)

That's a 1.48 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 80

ML Pullback Score: 6.64

Prediction Score: 0.6221

Prediction 1	Probability
Strong 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: 0.13
atr: 0.0001387438703

Details

score: 1.13
1H
ema9 : 0.021959
ema21 : 0.0225379
ema50 : 0.0225472
price_ema9_diff : 0.00625251
ema9_ema21_diff : -0.0256846
ema21_ema50_diff : -0.000411587
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.446984
kc_percentage : 0.351496
kc_width_percentage : 0.124351
15m
ema9 : 0.0217375
ema21 : 0.0216975
ema50 : 0.0221967
price_ema9_diff : 0.0167054
ema9_ema21_diff : 0.00184101
ema21_ema50_diff : -0.0224902
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.575542
kc_percentage : 0.869861
kc_width_percentage : 0.0503719
5m
ema9 : 0.0218621
ema21 : 0.0217525
ema50 : 0.0216343
price_ema9_diff : 0.0109364
ema9_ema21_diff : 0.00503785
ema21_ema50_diff : 0.00546394
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.687983
kc_percentage : 1.13351
kc_width_percentage : 0.0243182

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 23:11:35	19 Apr 2025 00:05:00	53 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.0221	0.02231	0.02179	1.48	0.00998

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 0.0221
Stop Loss: 0.02231
Take Profit: 0.02179

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.02231 - 0.0221 = 0.00021
Récompense (distance jusqu'au take profit):

E - TP = 0.0221 - 0.02179 = 0.00031
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00031 / 0.00021 = 1.4762

📌 Position Size

Amount	Margin	Quantity	Leverage
849.527	100	38440.1366	8.50

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 0.00021

Taille de position = 8 / 0.00021 = 38095.24

Taille de position USD = 38095.24 x 0.0221 = 841.9

Donc, tu peux acheter 38095.24 avec un stoploss a 0.02231

Avec un position size USD de 841.9$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 38095.24 x 0.00021 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 38095.24 x 0.00031 = 11.81

Si Take Profit atteint, tu gagneras 11.81$

Résumé

Taille de position 38095.24
Taille de position USD 841.9
Perte potentielle 8
Gain potentiel 11.81
Risk-Reward Ratio 1.4762

📌 Peformances

TP % Target	TP $ Target
1.4 %	11.92 $

SL % Target	SL $ Target
0.95 %	8.07 $

PNL	PNL %
11.92 $	1.40

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.090497737556557 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02168
            [stop_loss] => 0.02231
            [rr_ratio] => 2
            [closed_at] => 2025-04-19 02:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.021575
            [stop_loss] => 0.02231
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-19 02:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02147
            [stop_loss] => 0.02231
            [rr_ratio] => 3
            [closed_at] => 2025-04-19 03:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.021365
            [stop_loss] => 0.02231
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-19 04:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.02126
            [stop_loss] => 0.02231
            [rr_ratio] => 4
            [closed_at] => 2025-04-19 04:30:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00033
            [max_drawdown] => 4.9999999999998E-5
            [rr_ratio] => 6.6
            [high] => 0.02215000
            [low] => 0.02177000
            [mfe_pct] => 1.49
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 6.6
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T23:11:35-04:00
            [end_at] => 2025-04-19T01:11:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00088
            [max_drawdown] => 0.0002
            [rr_ratio] => 4.4
            [high] => 0.02230000
            [low] => 0.02122000
            [mfe_pct] => 3.98
            [mae_pct] => 0.9
            [mfe_mae_ratio] => 4.4
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T23:11:35-04:00
            [end_at] => 2025-04-19T05:11:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02214000
            [high_after] => 0.02230000
            [low_before] => 0.02099000
            [low_after] => 0.02122000
            [is_new_high] => 
            [is_new_low] => 
        )

)