Trade

sell - UNI

Status

win

2025-05-17 10:56:49

53 minutes

PNL

0.80

Entry: 5.875

Last: 5.82800000

Results

Status:

win

Trade Type:

sell

Prediction Score: 0.83

Prediction 1	Accuracy
Strong Trade	0.61

Prediction 2	Accuracy
1	0.4

ML Trade Score: 110

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.01
atr: 0.02096558444

Details

score: 1.01
1H
ema9 - 5.87252
ema21 - 5.96829
ema50 - 6.14922
ema100 - 6.33998
price_ema9_diff - 0.000421323
ema9_ema21_diff - -0.0160463
ema21_ema50_diff - -0.0294227
price_ema100_diff - -0.0733409
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.392153
kc_percentage - 0.253599
kc_width_percentage - 0.0591493
15m
ema9 - 5.83633
ema21 - 5.84804
ema50 - 5.90172
ema100 - 5.99293
price_ema9_diff - 0.0066248
ema9_ema21_diff - -0.00200265
ema21_ema50_diff - -0.00909509
price_ema100_diff - -0.0196784
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.532988
kc_percentage - 0.688753
kc_width_percentage - 0.025614
5m
ema9 - 5.8489
ema21 - 5.83229
ema50 - 5.83865
ema100 - 5.85896
price_ema9_diff - 0.00446149
ema9_ema21_diff - 0.00284846
ema21_ema50_diff - -0.00109051
price_ema100_diff - 0.00273709
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.628147
kc_percentage - 1.00875
kc_width_percentage - 0.0141376
btc_indicators
btc_indicators
5m_ema100: 103024
5m_price_ema100_diff: 0.000426951
5m_price: 103068
5m_correlation_with_coin: 0.682364
btc_indicators
15m_ema100: 103249
15m_price_ema100_diff: -0.00175455
15m_price: 103068
btc_indicators
1H_ema100: 103403
1H_price_ema100_diff: -0.00323987
1H_price: 103068

Short Trade on UNI

The 17 May 2025 at 10:56:49

With 254.4 UNI at 5.875$ per unit.

Position size of 1495 $

Take profit at 5.828 (0.8 %) and Stop Loss at 5.906 (0.53 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -8.75 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
LINK	2025-05-17 10:52:31	0.9741	35	2
FIL	2025-05-17 10:57:01	0.979	40	1
SHIB	2025-05-17 10:59:08	0.9586	-35	2
APT	2025-05-17 11:01:21	0.9405	30	1
TURBO	2025-05-17 10:58:14	0.9403	30	1
WLD	2025-05-17 10:56:21	0.9393	30	2
NEIROETH	2025-05-20 15:23:13	0.9365	-100	4
FLM	2025-06-11 19:23:40	0.9334	-100	1

📌 Time Data

Start at	Closed at	Duration
17 May 2025 10:56:49	17 May 2025 11:50:00	53 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
5.875	5.906	5.828	1.5	7.412

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 5.875
Stop Loss: 5.906
Take Profit: 5.828

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 5.906 - 5.875 = 0.031
Récompense (distance jusqu'au take profit):

E - TP = 5.875 - 5.828 = 0.047
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.047 / 0.031 = 1.5161

📌 Position Size

Amount	Margin	Quantity	Leverage
1495	100	254.4	14.95

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 0.031

Taille de position = 8 / 0.031 = 258.06

Taille de position USD = 258.06 x 5.875 = 1516.1

Donc, tu peux acheter 258.06 avec un stoploss a 5.906

Avec un position size USD de 1516.1$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 258.06 x 0.031 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 258.06 x 0.047 = 12.13

Si Take Profit atteint, tu gagneras 12.13$

Résumé

Taille de position 258.06
Taille de position USD 1516.1
Perte potentielle 8
Gain potentiel 12.13
Risk-Reward Ratio 1.5161

📌 Peformances

TP % Target	TP $ Target
0.8 %	12 $

SL % Target	SL $ Target
0.53 %	7.9 $

PNL	PNL %
12 $	0.80

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.051063829787236 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 5.813
            [stop_loss] => 5.906
            [rr_ratio] => 2
            [closed_at] => 2025-05-17 12:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 5.7975
            [stop_loss] => 5.906
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-17 12:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 5.782
            [stop_loss] => 5.906
            [rr_ratio] => 3
            [closed_at] => 2025-05-17 12:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 5.7665
            [stop_loss] => 5.906
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-17 12:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 5.751
            [stop_loss] => 5.906
            [rr_ratio] => 4
            [closed_at] => 2025-05-17 12:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 5.7355
            [stop_loss] => 5.906
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-17 12:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 5.72
            [stop_loss] => 5.906
            [rr_ratio] => 5
            [closed_at] => 2025-05-17 12:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 5.7045
            [stop_loss] => 5.906
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-17 12:45:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)