Web3Way Logo

Trade

sell - UNI

Status
win
2025-03-28 20:50:01
4 minutes
PNL
0.56
Entry: 6.233
Last: 6.19840000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 130
ML Pullback Score: 6

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.015395694855101
Details
  1. score: 1.1

Short Trade on UNI

The 28 Mar 2025 at 20:50:01

With 346.4172 UNI at 6.233$ per unit.

Position size of 2159.2183 $

Take profit at 6.1984 (0.56 %) and Stop Loss at 6.2561 (0.37 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -52.86 %

Symbol Start at Seach Score Trade Score Trades Count
JUP 2025-06-06 00:42:18 0.9622 -35 2
XRP 2025-06-06 01:05:31 0.9624 30 2
SUI 2025-06-06 01:14:49 0.9624 -100 2
AVAX 2025-06-06 01:13:21 0.9617 35 2
ETH 2025-04-20 15:50:08 0.9615 -100 1
DOGE 2025-06-06 00:51:50 0.9611 -100 1
BTC 2025-06-06 01:09:25 0.9608 -100 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
20:50:01		 28 Mar 2025
20:55:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.233 6.2561 6.1984 1.5 10.093
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 6.233
  • Stop Loss: 6.2561
  • Take Profit: 6.1984

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.2561 - 6.233 = 0.0231

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.233 - 6.1984 = 0.034599999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.034599999999999 / 0.0231 = 1.4978

📌 Position Size

Amount Margin Quantity Leverage
2159.2183 2159.2183 346.4172 21.59
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 0.0231

Taille de position = 8 / 0.0231 = 346.32

Taille de position USD = 346.32 x 6.233 = 2158.61

Donc, tu peux acheter 346.32 avec un stoploss a 6.2561

Avec un position size USD de 2158.61$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 346.32 x 0.0231 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 346.32 x 0.034599999999999 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

  • Taille de position 346.32
  • Taille de position USD 2158.61
  • Perte potentielle 8
  • Gain potentiel 11.98
  • Risk-Reward Ratio 1.4978

📌 Peformances

TP % Target TP $ Target
0.56 % 11.99 $
SL % Target SL $ Target
0.37 % 8 $
PNL PNL %
11.99 $ 0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 6.187
            [stop_loss] => 6.256
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 21:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 6.1755
            [stop_loss] => 6.256
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 21:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 6.164
            [stop_loss] => 6.256
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 22:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 6.1525
            [stop_loss] => 6.256
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 22:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 6.141
            [stop_loss] => 6.256
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 22:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 6.1295
            [stop_loss] => 6.256
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 22:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 6.118
            [stop_loss] => 6.256
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 22:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 6.1065
            [stop_loss] => 6.256
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-28 23:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 6.095
            [stop_loss] => 6.256
            [rr_ratio] => 6
            [closed_at] => 2025-03-28 23:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 6.0835
            [stop_loss] => 6.256
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-28 23:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.107
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 6.22100000
            [low] => 6.12600000
            [mfe_pct] => 1.72
            [mae_pct] => -0.19
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T20:50:01-04:00
            [end_at] => 2025-03-28T22:50:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.156
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 6.22100000
            [low] => 6.07700000
            [mfe_pct] => 2.5
            [mae_pct] => -0.19
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T20:50:01-04:00
            [end_at] => 2025-03-29T02:50:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.25200000
            [high_after] => 6.22100000
            [low_before] => 6.04400000
            [low_after] => 6.07700000
            [is_new_high] => 
            [is_new_low] => 
        )

)