Trade

buy - VIDT

Status
win
2025-03-28 14:54:50
35 minutes
PNL
2.82
Entry: 0.01772
Last: 0.01820000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.00022015060554511
Details
  1. score: 2.02

Long Trade on VIDT

The 28 Mar 2025 at 14:54:50

With 429.3 VIDT at 0.01772$ per unit.

Take profit at 0.01822 (2.8 %) and Stop Loss at 0.01739 (1.9 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 6.9 %

Symbol Start at Seach Score Trade Score Trades Count
S 2025-04-10 04:24:40 0.9292 -56.67 3
ONDO 2025-04-10 03:38:01 0.9172 85 2
ALPACA 2025-04-26 21:31:53 0.9162 -100 1
BCH 2025-04-10 03:57:35 0.9148 30 1
POL 2025-04-22 17:12:32 0.9135 100 1
ATOM 2025-04-04 23:31:49 0.9109 -100 1
BTC 2025-04-10 03:36:24 0.909 90 3

📌 Time Data

Start at Closed at Duration
28 Mar 2025
14:54:50
28 Mar 2025
15:30:00
35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01772 0.01739 0.01822 1.5 0.00139
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 0.01772
  • Stop Loss: 0.01739
  • Take Profit: 0.01822

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01739 - 0.01772 = -0.00033

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01772 - 0.01822 = -0.0005

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0005 / -0.00033 = 1.5152

📌 Position Size

Amount Margin Quantity Leverage
429.3 429.3 24230 4.29
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 -0.00033

Taille de position = 8 / -0.00033 = -24242.42

Taille de position USD = -24242.42 x 0.01772 = -429.58

Donc, tu peux acheter -24242.42 avec un stoploss a 0.01739

Avec un position size USD de -429.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -24242.42 x -0.00033 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -24242.42 x -0.0005 = 12.12

Si Take Profit atteint, tu gagneras 12.12$

Résumé

  • Taille de position -24242.42
  • Taille de position USD -429.58
  • Perte potentielle 8
  • Gain potentiel 12.12
  • Risk-Reward Ratio 1.5152

📌 Peformances

TP % Target TP $ Target
2.8 % 12 $
SL % Target SL $ Target
1.9 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.82 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01838
            [stop_loss] => 0.01739
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 16:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.018545
            [stop_loss] => 0.01739
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 17:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01871
            [stop_loss] => 0.01739
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 17:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.018875
            [stop_loss] => 0.01739
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 17:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01904
            [stop_loss] => 0.01739
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 17:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.019205
            [stop_loss] => 0.01739
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 18:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.01937
            [stop_loss] => 0.01739
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 18:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)