Short Trade on TAO

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Short Trade on TAO 04 Jun 2025 at 21:09:01

Take profit at 381.2287 (0.77 %) and Stop Loss at 386.1809 (0.52 %)

Short Trade on TAO

The 04 Jun 2025 at 21:09:01

With 4.0386 TAO at 384.2$ per unit.

Position size of 1551.6377 $

Take profit at 381.2287 (0.77 %) and Stop Loss at 386.1809 (0.52 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 70

ML Pullback Score: 10

Prediction Score: -0.6917

Prediction 1	Probability
Weak Trade	0.67

Prediction 2	Probability
0	0.56

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score
5m : 0.586387

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.06
atr: 1.320583199

Details

score: 1.06
1H
ema9 : 383.699
ema21 : 387.165
ema50 : 392.84
ema100 : 401.408
price_ema9_diff : 0.00130424
ema9_ema21_diff : -0.0089516
ema21_ema50_diff : -0.0144454
price_ema100_diff : -0.0428698
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.41413
kc_percentage : 0.362327
kc_width_percentage : 0.0517796
volume_ema_diff : -0.386365
15m
ema9 : 381.44
ema21 : 382.03
ema50 : 385.063
ema100 : 387.498
price_ema9_diff : 0.00723568
ema9_ema21_diff : -0.00154543
ema21_ema50_diff : -0.00787741
price_ema100_diff : -0.00851173
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.535374
kc_percentage : 0.712389
kc_width_percentage : 0.0278806
volume_ema_diff : -0.461366
5m
ema9 : 381.952
ema21 : 381.191
ema50 : 381.438
ema100 : 383.459
price_ema9_diff : 0.00588518
ema9_ema21_diff : 0.0019949
ema21_ema50_diff : -0.00064753
price_ema100_diff : 0.00193198
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.644006
kc_percentage : 1.06494
kc_width_percentage : 0.013695
volume_ema_diff : 0.190499
btc_indicators
btc_indicators
5m_ema100:
```
104887
```
5m_price_ema100_diff:
```
0.00134971
```
5m_price:
```
105029
```
5m_correlation_with_coin:
```
0.586387
```
btc_indicators
15m_ema100:
```
105048
```
15m_price_ema100_diff:
```
-0.0001884
```
15m_price:
```
105029
```
btc_indicators
1H_ema100:
```
105052
```
1H_price_ema100_diff:
```
-0.000221163
```
1H_price:
```
105029
```

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 Jun 2025 21:09:01	04 Jun 2025 21:20:00	10 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
384.2	386.1809	381.2287	1.5	177.24

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 384.2
Stop Loss: 386.1809
Take Profit: 381.2287

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 386.1809 - 384.2 = 1.9809
Récompense (distance jusqu'au take profit):

E - TP = 384.2 - 381.2287 = 2.9713
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 2.9713 / 1.9809 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1551.6377	100	4.0386	15.52

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 1.9809

Taille de position = 8 / 1.9809 = 4.04

Taille de position USD = 4.04 x 384.2 = 1552.17

Donc, tu peux acheter 4.04 avec un stoploss a 386.1809

Avec un position size USD de 1552.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4.04 x 1.9809 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4.04 x 2.9713 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 4.04
Taille de position USD 1552.17
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.77 %	12 $

SL % Target	SL $ Target
0.52 %	8 $

PNL	PNL %
12.12 $	0.78

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.052056220718373 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 380.2
            [stop_loss] => 386.2
            [rr_ratio] => 2
            [closed_at] => 2025-06-04 22:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 379.2
            [stop_loss] => 386.2
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-04 22:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 378.2
            [stop_loss] => 386.2
            [rr_ratio] => 3
            [closed_at] => 2025-06-04 23:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 377.2
            [stop_loss] => 386.2
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-05 01:40:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 6.16
            [max_drawdown] => 0.19999999999999
            [rr_ratio] => 30.8
            [high] => 384.40000000
            [low] => 378.04000000
            [mfe_pct] => 1.6
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 30.8
            [candles_analyzed] => 24
            [start_at] => 2025-06-04T21:09:01-04:00
            [end_at] => 2025-06-04T23:09:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 7.62
            [max_drawdown] => 0.19999999999999
            [rr_ratio] => 38.1
            [high] => 384.40000000
            [low] => 376.58000000
            [mfe_pct] => 1.98
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 38.1
            [candles_analyzed] => 72
            [start_at] => 2025-06-04T21:09:01-04:00
            [end_at] => 2025-06-05T03:09:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 384.32000000
            [high_after] => 384.40000000
            [low_before] => 377.10000000
            [low_after] => 376.58000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)