Short Trade on TAO

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Short Trade on TAO 04 May 2025 at 10:37:28

Take profit at 349.5628 (0.7 %) and Stop Loss at 353.6582 (0.47 %)

Short Trade on TAO

The 04 May 2025 at 10:37:28

With 4.8835 TAO at 352.02$ per unit.

Position size of 1719.1065 $

Take profit at 349.5628 (0.7 %) and Stop Loss at 353.6582 (0.47 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 5.43

Prediction Score: 0

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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: 0.02
atr: 1.092102191

Details

score: 1.02
1H
ema9 : 349.558
ema21 : 352.099
ema50 : 357.197
price_ema9_diff : 0.00699097
ema9_ema21_diff : -0.00721797
ema21_ema50_diff : -0.0142716
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.472842
kc_percentage : 0.509735
kc_width_percentage : 0.0497908
15m
ema9 : 349.684
ema21 : 349.118
ema50 : 349.918
price_ema9_diff : 0.00669074
ema9_ema21_diff : 0.00161941
ema21_ema50_diff : -0.0022867
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.598796
kc_percentage : 0.851615
kc_width_percentage : 0.0233163
5m
ema9 : 350.668
ema21 : 349.63
ema50 : 348.981
price_ema9_diff : 0.0038663
ema9_ema21_diff : 0.00296724
ema21_ema50_diff : 0.00186158
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.64589
kc_percentage : 1.02301
kc_width_percentage : 0.0127386

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 10:37:28	04 May 2025 10:50:00	12 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
352.02	353.6582	349.5628	1.5	179.02

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 352.02
Stop Loss: 353.6582
Take Profit: 349.5628

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 353.6582 - 352.02 = 1.6382
Récompense (distance jusqu'au take profit):

E - TP = 352.02 - 349.5628 = 2.4572
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 2.4572 / 1.6382 = 1.4999

📌 Position Size

Amount	Margin	Quantity	Leverage
1719.1065	100	4.8835	17.19

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 1.6382

Taille de position = 8 / 1.6382 = 4.88

Taille de position USD = 4.88 x 352.02 = 1717.86

Donc, tu peux acheter 4.88 avec un stoploss a 353.6582

Avec un position size USD de 1717.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4.88 x 1.6382 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4.88 x 2.4572 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position 4.88
Taille de position USD 1717.86
Perte potentielle 7.99
Gain potentiel 11.99
Risk-Reward Ratio 1.4999

📌 Peformances

TP % Target	TP $ Target
0.7 %	12 $

SL % Target	SL $ Target
0.47 %	8 $

PNL	PNL %
-8.3 $	-0.48

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.69602272727272 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 349.6
            [entry_price] => 352
            [stop_loss] => 353.87
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-04 10:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 349.6
            [entry_price] => 352
            [stop_loss] => 354.04
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-04 10:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 349.6
            [entry_price] => 352
            [stop_loss] => 354.21
            [rr_ratio] => 1.09
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-04 10:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 349.6
            [entry_price] => 352
            [stop_loss] => 354.55
            [rr_ratio] => 0.94
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-04 11:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.38
            [max_drawdown] => 2.93
            [rr_ratio] => 1.49
            [high] => 354.95000000
            [low] => 347.64000000
            [mfe_pct] => 1.24
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 1.49
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T10:37:28-04:00
            [end_at] => 2025-05-04T12:37:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 10.93
            [max_drawdown] => 2.93
            [rr_ratio] => 3.73
            [high] => 354.95000000
            [low] => 341.09000000
            [mfe_pct] => 3.1
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 3.73
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T10:37:28-04:00
            [end_at] => 2025-05-04T16:37:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 353.18000000
            [high_after] => 354.95000000
            [low_before] => 345.03000000
            [low_after] => 341.09000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)