Short Trade on TIA

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Short Trade on TIA 03 May 2025 at 15:37:40

Take profit at 2.4437 (0.85 %) and Stop Loss at 2.4785 (0.56 %)

Short Trade on TIA

The 03 May 2025 at 15:37:40

With 573.8275 TIA at 2.4646$ per unit.

Position size of 1414.2554 $

Take profit at 2.4437 (0.85 %) and Stop Loss at 2.4785 (0.56 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -90

ML Pullback Score: 1.94

Prediction Score: -5.7094

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: 0.03
atr: 0.009294314014

Details

score: 1.03
1H
ema9 : 2.46914
ema21 : 2.50174
ema50 : 2.56453
price_ema9_diff : -0.00181612
ema9_ema21_diff : -0.0130326
ema21_ema50_diff : -0.0244832
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.379171
kc_percentage : 0.252683
kc_width_percentage : 0.0566837
15m
ema9 : 2.44874
ema21 : 2.45699
ema50 : 2.47991
price_ema9_diff : 0.00645296
ema9_ema21_diff : -0.00335731
ema21_ema50_diff : -0.00924362
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.509324
kc_percentage : 0.609484
kc_width_percentage : 0.0312615
5m
ema9 : 2.45084
ema21 : 2.44592
ema50 : 2.45211
price_ema9_diff : 0.00562463
ema9_ema21_diff : 0.00200993
ema21_ema50_diff : -0.00252379
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.629916
kc_percentage : 1.03161
kc_width_percentage : 0.0142276

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 May 2025 15:37:40	03 May 2025 17:25:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.4646	2.4785	2.4437	1.5	0.3324

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 2.4646
Stop Loss: 2.4785
Take Profit: 2.4437

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.4785 - 2.4646 = 0.0139
Récompense (distance jusqu'au take profit):

E - TP = 2.4646 - 2.4437 = 0.0209
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0209 / 0.0139 = 1.5036

📌 Position Size

Amount	Margin	Quantity	Leverage
1414.2554	100	573.8275	14.14

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 0.0139

Taille de position = 8 / 0.0139 = 575.54

Taille de position USD = 575.54 x 2.4646 = 1418.48

Donc, tu peux acheter 575.54 avec un stoploss a 2.4785

Avec un position size USD de 1418.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 575.54 x 0.0139 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 575.54 x 0.0209 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

Taille de position 575.54
Taille de position USD 1418.48
Perte potentielle 8
Gain potentiel 12.03
Risk-Reward Ratio 1.5036

📌 Peformances

TP % Target	TP $ Target
0.85 %	11.99 $

SL % Target	SL $ Target
0.56 %	7.98 $

PNL	PNL %
-8.03 $	-0.57

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.65720081135903 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.444
            [entry_price] => 2.465
            [stop_loss] => 2.4804
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-03 17:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.444
            [entry_price] => 2.465
            [stop_loss] => 2.4818
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-03 17:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.444
            [entry_price] => 2.465
            [stop_loss] => 2.4832
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-03 17:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.444
            [entry_price] => 2.465
            [stop_loss] => 2.486
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-03 19:25:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0184
            [max_drawdown] => 0.019
            [rr_ratio] => 0.97
            [high] => 2.48360000
            [low] => 2.44620000
            [mfe_pct] => 0.75
            [mae_pct] => 0.77
            [mfe_mae_ratio] => 0.97
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T15:37:40-04:00
            [end_at] => 2025-05-03T17:37:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0368
            [max_drawdown] => 0.019
            [rr_ratio] => 1.94
            [high] => 2.48360000
            [low] => 2.42780000
            [mfe_pct] => 1.49
            [mae_pct] => 0.77
            [mfe_mae_ratio] => 1.94
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T15:37:40-04:00
            [end_at] => 2025-05-03T21:37:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.49670000
            [high_after] => 2.48360000
            [low_before] => 2.38210000
            [low_after] => 2.42780000
            [is_new_high] => 
            [is_new_low] => 
        )

)