Trade

sell - PAXG

Status

win

2025-05-12 15:53:21

1 hour

PNL

0.18

Entry: 3252

Last: 3246.00000000

Results

Status:

win

Trade Type:

sell

Prediction Score: -3.2679

Prediction 1	Accuracy
Weak Trade	0.76

Prediction 2	Accuracy
0	0.8

ML Trade Score: 120

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.03
atr: 2.605077481

Details

score: 1.03
1H
ema9 - 3248.62
ema21 - 3261.53
ema50 - 3286.26
ema100 - 3303.06
price_ema9_diff - 0.00107491
ema9_ema21_diff - -0.00395697
ema21_ema50_diff - -0.00752611
price_ema100_diff - -0.0154236
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.419696
kc_percentage - 0.340408
kc_width_percentage - 0.0158974
15m
ema9 - 3246.37
ema21 - 3245.99
ema50 - 3251.13
ema100 - 3264.66
price_ema9_diff - 0.00177081
ema9_ema21_diff - 0.000114444
ema21_ema50_diff - -0.00157984
price_ema100_diff - -0.00384125
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.565039
kc_percentage - 0.779976
kc_width_percentage - 0.00678234
5m
ema9 - 3249.7
ema21 - 3246.63
ema50 - 3245.51
ema100 - 3244.42
price_ema9_diff - 0.000742009
ema9_ema21_diff - 0.000946125
ema21_ema50_diff - 0.000344158
price_ema100_diff - 0.00237258
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.650286
kc_percentage - 1.03217
kc_width_percentage - 0.00307897
btc_indicators
btc_indicators
5m_ema100: 102762
5m_price_ema100_diff: -0.00897956
5m_price: 101840
5m_correlation_with_coin: 0.001245
btc_indicators
15m_ema100: 103463
15m_price_ema100_diff: -0.0156894
15m_price: 101840
btc_indicators
1H_ema100: 103267
1H_price_ema100_diff: -0.013828
1H_price: 101840

Short Trade on PAXG

The 12 May 2025 at 15:53:21

With 2.047 PAXG at 3252$ per unit.

Position size of 6658 $

Take profit at 3246 (0.18 %) and Stop Loss at 3256 (0.12 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -45.48 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
XAUT	2025-05-12 15:32:59	0.9425	40	3
MUBARAK	2025-03-30 15:09:40	0.9442	-100	1
RENDER	2025-05-28 08:31:54	0.9278	6.67	3
TON	2025-05-31 08:14:35	0.9265	-100	1
APE	2025-05-31 09:02:13	0.9233	-100	1
OM	2025-04-30 05:50:47	0.9203	35	2
IO	2025-05-31 08:16:12	0.9193	-100	1

📌 Time Data

Start at	Closed at	Duration
12 May 2025 15:53:21	12 May 2025 17:40:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3252	3256	3246	1.5	3330

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 3252
Stop Loss: 3256
Take Profit: 3246

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3256 - 3252 = 4
Récompense (distance jusqu'au take profit):

E - TP = 3252 - 3246 = 6
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 6 / 4 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
6658	100	2.047	66.58

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 4

Taille de position = 8 / 4 = 2

Taille de position USD = 2 x 3252 = 6504

Donc, tu peux acheter 2 avec un stoploss a 3256

Avec un position size USD de 6504$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2 x 4 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2 x 6 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 2
Taille de position USD 6504
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.18 %	12 $

SL % Target	SL $ Target
0.12 %	8.2 $

PNL	PNL %
12 $	0.18

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.051968019680198 %	0 %	0

📌 ML Extra Data

Extra TP Data


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    [2] => Array
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            [take_profit] => 3244
            [stop_loss] => 3256
            [rr_ratio] => 2
            [closed_at] => 2025-05-12 17:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3242
            [stop_loss] => 3256
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-12 18:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3240
            [stop_loss] => 3256
            [rr_ratio] => 3
            [closed_at] => 2025-05-12 21:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3238
            [stop_loss] => 3256
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-12 21:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3236
            [stop_loss] => 3256
            [rr_ratio] => 4
            [closed_at] => 2025-05-12 21:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3234
            [stop_loss] => 3256
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-12 21:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3232
            [stop_loss] => 3256
            [rr_ratio] => 5
            [closed_at] => 2025-05-12 21:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3230
            [stop_loss] => 3256
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-12 21:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 3228
            [stop_loss] => 3256
            [rr_ratio] => 6
            [closed_at] => 2025-05-12 21:45:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)