Trade

buy - TUT

Status
win
2025-03-27 17:24:34
35 minutes
PNL
12.40
Entry: 0.03873
Last: 0.04350000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 70

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.29
  4. atr: 0.002098127527466
Details
  1. score: 2.29

Long Trade on TUT

The 27 Mar 2025 at 17:24:34

With 2542 TUT at 0.03873$ per unit.

Position size of 98.45 $

Take profit at 0.04345 (12 %) and Stop Loss at 0.03558 (8.1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -71.11 %

Symbol Start at Seach Score Trade Score Trades Count
SWEAT 2025-06-21 12:41:20 0.9803 -100 2
CARV 2025-03-26 00:54:49 0.9805 -100 1
PEPE 2025-06-29 22:08:13 0.9784 -100 2
WAXP 2025-04-19 00:00:56 0.9779 30 1
BNB 2025-05-09 23:10:44 0.9754 -100 3
BROCCOLI 2025-03-27 17:14:38 0.9761 30 1
RARE 2025-04-16 06:31:24 0.9756 -100 1
GALA 2025-06-29 21:59:54 0.9738 -100 1
GPS 2025-06-08 08:38:06 0.9721 -100 1

📌 Time Data

Start at Closed at Duration
27 Mar 2025
17:24:34
27 Mar 2025
18:00:00
35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03873 0.03558 0.04345 1.5 0.05901
Details
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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 0.03873
  • Stop Loss: 0.03558
  • Take Profit: 0.04345

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03558 - 0.03873 = -0.00315

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03873 - 0.04345 = -0.00472

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00472 / -0.00315 = 1.4984

📌 Position Size

Amount Margin Quantity Leverage
98.45 98.45 2542 1.00
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 -0.00315

Taille de position = 8 / -0.00315 = -2539.68

Taille de position USD = -2539.68 x 0.03873 = -98.36

Donc, tu peux acheter -2539.68 avec un stoploss a 0.03558

Avec un position size USD de -98.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2539.68 x -0.00315 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2539.68 x -0.00472 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position -2539.68
  • Taille de position USD -98.36
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4984

📌 Peformances

TP % Target TP $ Target
12 % 12 $
SL % Target SL $ Target
8.1 % 8 $
PNL PNL %
12 $ 12.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.04503
            [stop_loss] => 0.03558
            [rr_ratio] => 2
            [closed_at] => 2025-03-27 18:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.046605
            [stop_loss] => 0.03558
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-27 18:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.04818
            [stop_loss] => 0.03558
            [rr_ratio] => 3
            [closed_at] => 2025-03-27 21:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.049755
            [stop_loss] => 0.03558
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-27 21:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)