Long Trade on TAO

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Long Trade on TAO 22 Apr 2025 at 15:44:01

Take profit at 343.0992 (1.65 %) and Stop Loss at 333.8005 (1.1 %)

Long Trade on TAO

The 22 Apr 2025 at 15:44:01

With 2.1509 TAO at 337.52$ per unit.

Position size of 725.9549 $

Take profit at 343.0992 (1.65 %) and Stop Loss at 333.8005 (1.1 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.61

Prediction Score: -8.3192

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.08
atr: 2.479639836

Details

score: 2.08
1H
ema9 : 338.657
ema21 : 331.261
ema50 : 320.553
price_ema9_diff : -0.00343495
ema9_ema21_diff : 0.0223272
ema21_ema50_diff : 0.033404
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.581921
kc_percentage : 0.664532
kc_width_percentage : 0.103768
15m
ema9 : 343.217
ema21 : 341.885
ema50 : 335.878
price_ema9_diff : -0.0166655
ema9_ema21_diff : 0.00389728
ema21_ema50_diff : 0.017885
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.455991
kc_percentage : 0.269586
kc_width_percentage : 0.058415
5m
ema9 : 342.182
ema21 : 343.491
ema50 : 342.815
price_ema9_diff : -0.0135751
ema9_ema21_diff : -0.0038101
ema21_ema50_diff : 0.00197133
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.332327
kc_percentage : -0.078145
kc_width_percentage : 0.0304613

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
22 Apr 2025 15:44:01	22 Apr 2025 16:15:00	30 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
337.52	333.8005	343.0992	1.5	185.61

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 337.52
Stop Loss: 333.8005
Take Profit: 343.0992

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 333.8005 - 337.52 = -3.7195
Récompense (distance jusqu'au take profit):

E - TP = 337.52 - 343.0992 = -5.5792
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -5.5792 / -3.7195 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
725.9549	100	2.1509	7.26

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 -3.7195

Taille de position = 8 / -3.7195 = -2.15

Taille de position USD = -2.15 x 337.52 = -725.67

Donc, tu peux acheter -2.15 avec un stoploss a 333.8005

Avec un position size USD de -725.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2.15 x -3.7195 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2.15 x -5.5792 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -2.15
Taille de position USD -725.67
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.65 %	12 $

SL % Target	SL $ Target
1.1 %	8 $

PNL	PNL %
-7.96 $	-1.10

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.1348148148148 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 343.1
            [entry_price] => 337.5
            [stop_loss] => 333.43
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-22 16:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 343.1
            [entry_price] => 337.5
            [stop_loss] => 333.06
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-22 16:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 343.1
            [entry_price] => 337.5
            [stop_loss] => 332.69
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-22 16:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 343.1
            [entry_price] => 337.5
            [stop_loss] => 331.95
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-22 16:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.61000000000001
            [max_drawdown] => 6.47
            [rr_ratio] => 0.09
            [high] => 338.13000000
            [low] => 331.05000000
            [mfe_pct] => 0.18
            [mae_pct] => 1.92
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 24
            [start_at] => 2025-04-22T15:44:01-04:00
            [end_at] => 2025-04-22T17:44:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 6.46
            [max_drawdown] => 7.24
            [rr_ratio] => 0.89
            [high] => 343.98000000
            [low] => 330.28000000
            [mfe_pct] => 1.91
            [mae_pct] => 2.15
            [mfe_mae_ratio] => 0.89
            [candles_analyzed] => 72
            [start_at] => 2025-04-22T15:44:01-04:00
            [end_at] => 2025-04-22T21:44:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 350.99000000
            [high_after] => 343.98000000
            [low_before] => 333.72000000
            [low_after] => 330.28000000
            [is_new_high] => 
            [is_new_low] => 
        )

)