Short Trade on AI16Z

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Short Trade on AI16Z 21 Apr 2025 at 21:42:46

Take profit at 0.135 (1.32 %) and Stop Loss at 0.138 (0.88 %)

Short Trade on AI16Z

The 21 Apr 2025 at 21:42:46

With 6721.2093 AI16Z at 0.1368$ per unit.

Position size of 919.4614 $

Take profit at 0.135 (1.32 %) and Stop Loss at 0.138 (0.88 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.71

Prediction Score: -1.036

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: 0.0007935079976

Details

score: 1.15
1H
ema9 : 0.135122
ema21 : 0.137976
ema50 : 0.140438
price_ema9_diff : 0.0121589
ema9_ema21_diff : -0.0206881
ema21_ema50_diff : -0.0175271
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.454724
kc_percentage : 0.422429
kc_width_percentage : 0.0920582
15m
ema9 : 0.134429
ema21 : 0.134077
ema50 : 0.135916
price_ema9_diff : 0.0176792
ema9_ema21_diff : 0.00262606
ema21_ema50_diff : -0.0135314
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.622356
kc_percentage : 0.947881
kc_width_percentage : 0.0448019
5m
ema9 : 0.135785
ema21 : 0.134583
ema50 : 0.133784
price_ema9_diff : 0.00753464
ema9_ema21_diff : 0.00893759
ema21_ema50_diff : 0.0059688
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.700914
kc_percentage : 1.14723
kc_width_percentage : 0.0243352

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
21 Apr 2025 21:42:46	21 Apr 2025 21:50:00	7 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1368	0.138	0.135	1.5	0.0663

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 0.1368
Stop Loss: 0.138
Take Profit: 0.135

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.138 - 0.1368 = 0.0012
Récompense (distance jusqu'au take profit):

E - TP = 0.1368 - 0.135 = 0.0018
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0018 / 0.0012 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
919.4614	100	6721.2093	9.19

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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.1368 = 912

Donc, tu peux acheter 6666.67 avec un stoploss a 0.138

Avec un position size USD de 912$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 6666.67
Taille de position USD 912
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.32 %	12.1 $

SL % Target	SL $ Target
0.88 %	8.07 $

PNL	PNL %
-8.07 $	-0.88

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.2426900584795 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.135
            [entry_price] => 0.1368
            [stop_loss] => 0.13812
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-21 21:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.135
            [entry_price] => 0.1368
            [stop_loss] => 0.13824
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-21 21:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.135
            [entry_price] => 0.1368
            [stop_loss] => 0.13836
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-21 21:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.135
            [entry_price] => 0.1368
            [stop_loss] => 0.1386
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-21 21:55:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00029999999999999
            [max_drawdown] => 0.0043
            [rr_ratio] => 0.07
            [high] => 0.14110000
            [low] => 0.13650000
            [mfe_pct] => 0.22
            [mae_pct] => 3.14
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-04-21T21:42:46-04:00
            [end_at] => 2025-04-21T23:42:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0047
            [max_drawdown] => 0.0043
            [rr_ratio] => 1.09
            [high] => 0.14110000
            [low] => 0.13210000
            [mfe_pct] => 3.44
            [mae_pct] => 3.14
            [mfe_mae_ratio] => 1.09
            [candles_analyzed] => 72
            [start_at] => 2025-04-21T21:42:46-04:00
            [end_at] => 2025-04-22T03:42:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13770000
            [high_after] => 0.14110000
            [low_before] => 0.13080000
            [low_after] => 0.13210000
            [is_new_high] => 
            [is_new_low] => 
        )

)