Long Trade on TAO

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Long Trade on TAO 18 Apr 2025 at 01:31:08

Take profit at 256.2272 (0.96 %) and Stop Loss at 252.1485 (0.64 %)

Long Trade on TAO

The 18 Apr 2025 at 01:31:08

With 4.9035 TAO at 253.78$ per unit.

Position size of 1244.4163 $

Take profit at 256.2272 (0.96 %) and Stop Loss at 252.1485 (0.64 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

buy

ML Trade Score: 90

ML Pullback Score: 6.33

Prediction Score:

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: 0.02
atr: 1.087653154

Details

score: 2.02
1H
ema9 : 252.387
ema21 : 246.625
ema50 : 240.727
price_ema9_diff : 0.00564648
ema9_ema21_diff : 0.0233639
ema21_ema50_diff : 0.0244999
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.649943
kc_percentage : 0.895951
kc_width_percentage : 0.0673786
15m
ema9 : 255.5
ema21 : 254.454
ema50 : 250.21
price_ema9_diff : -0.00676228
ema9_ema21_diff : 0.00411249
ema21_ema50_diff : 0.0169616
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.506381
kc_percentage : 0.397548
kc_width_percentage : 0.0311063
5m
ema9 : 255.371
ema21 : 255.964
ema50 : 255.149
price_ema9_diff : -0.00621878
ema9_ema21_diff : -0.00231657
ema21_ema50_diff : 0.00319649
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.36152
kc_percentage : -0.0155608
kc_width_percentage : 0.0166219

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 01:31:08	18 Apr 2025 03:00:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
253.78	252.1485	256.2272	1.5	181.15

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 253.78
Stop Loss: 252.1485
Take Profit: 256.2272

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 252.1485 - 253.78 = -1.6315
Récompense (distance jusqu'au take profit):

E - TP = 253.78 - 256.2272 = -2.4472
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -2.4472 / -1.6315 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1244.4163	100	4.9035	12.44

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 -1.6315

Taille de position = 8 / -1.6315 = -4.9

Taille de position USD = -4.9 x 253.78 = -1243.52

Donc, tu peux acheter -4.9 avec un stoploss a 252.1485

Avec un position size USD de -1243.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4.9 x -1.6315 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4.9 x -2.4472 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position -4.9
Taille de position USD -1243.52
Perte potentielle 7.99
Gain potentiel 11.99
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.96 %	12 $

SL % Target	SL $ Target
0.64 %	8 $

PNL	PNL %
11.77 $	0.95

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.61465721040189 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
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    [2] => Array
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            [take_profit] => 257.2
            [stop_loss] => 252.1
            [rr_ratio] => 2
            [closed_at] => 2025-04-18 03:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 258.05
            [stop_loss] => 252.1
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-18 03:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 258.9
            [stop_loss] => 252.1
            [rr_ratio] => 3
            [closed_at] => 2025-04-18 03:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 259.75
            [stop_loss] => 252.1
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-18 03:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 260.6
            [stop_loss] => 252.1
            [rr_ratio] => 4
            [closed_at] => 2025-04-18 03:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 261.45
            [stop_loss] => 252.1
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-18 03:55:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
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    [short_term] => Array
        (
            [max_gain] => 2.56
            [max_drawdown] => 1.54
            [rr_ratio] => 1.66
            [high] => 256.34000000
            [low] => 252.24000000
            [mfe_pct] => 1.01
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 1.66
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T01:31:08-04:00
            [end_at] => 2025-04-18T03:31:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 7.74
            [max_drawdown] => 1.54
            [rr_ratio] => 5.03
            [high] => 261.52000000
            [low] => 252.24000000
            [mfe_pct] => 3.05
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 5.03
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T01:31:08-04:00
            [end_at] => 2025-04-18T07:31:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 259.57000000
            [high_after] => 261.52000000
            [low_before] => 252.22000000
            [low_after] => 252.24000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)