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Trade

buy - FET

Status
win
2025-03-26 05:24:07
1 hour
PNL
0.75
Entry: 0.5704
Last: 0.57470000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0019000252827776
Details
  1. score: 2

Long Trade on FET

The 26 Mar 2025 at 05:24:07

With 2807 FET at 0.5704$ per unit.

Position size of 1601 $

Take profit at 0.5747 (0.75 %) and Stop Loss at 0.5675 (0.51 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -56 %

Symbol Start at Seach Score Trade Score Trades Count
SIREN 2025-04-22 17:13:39 0.8857 70 1
AAVE 2025-05-03 19:33:41 0.8779 30 2
SKATE 2025-06-30 10:05:22 0.8808 -100 1
PUFFER 2025-04-11 15:01:50 0.8781 -90 1
VIRTUAL 2025-06-29 06:45:48 0.8756 30 1
LEVER 2025-07-16 14:51:44 0.8704 -100 2
CRV 2025-06-10 10:50:13 0.8742 -100 1
BSV 2025-05-02 00:49:50 0.8685 -100 3
SUI 2025-06-29 21:13:39 0.8702 -100 1
FLOKI 2025-07-21 20:25:19 0.8619 -100 1

📌 Time Data

Start at Closed at Duration
26 Mar 2025
05:24:07		 26 Mar 2025
06:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5704 0.5675 0.5747 1.5 0.8075
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 0.5704
  • Stop Loss: 0.5675
  • Take Profit: 0.5747

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5675 - 0.5704 = -0.0029

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5704 - 0.5747 = -0.0043

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0043 / -0.0029 = 1.4828

📌 Position Size

Amount Margin Quantity Leverage
1601 1601 2807 16.01
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 -0.0029

Taille de position = 8 / -0.0029 = -2758.62

Taille de position USD = -2758.62 x 0.5704 = -1573.52

Donc, tu peux acheter -2758.62 avec un stoploss a 0.5675

Avec un position size USD de -1573.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2758.62 x -0.0029 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2758.62 x -0.0043 = 11.86

Si Take Profit atteint, tu gagneras 11.86$

Résumé

  • Taille de position -2758.62
  • Taille de position USD -1573.52
  • Perte potentielle 8
  • Gain potentiel 11.86
  • Risk-Reward Ratio 1.4828

📌 Peformances

TP % Target TP $ Target
0.75 % 12 $
SL % Target SL $ Target
0.51 % 8.1 $
PNL PNL %
12 $ 0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.5762
            [stop_loss] => 0.5675
            [rr_ratio] => 2
            [closed_at] => 2025-03-26 07:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.57765
            [stop_loss] => 0.5675
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.5791
            [stop_loss] => 0.5675
            [rr_ratio] => 3
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.58055
            [stop_loss] => 0.5675
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.582
            [stop_loss] => 0.5675
            [rr_ratio] => 4
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.58345
            [stop_loss] => 0.5675
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.5849
            [stop_loss] => 0.5675
            [rr_ratio] => 5
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.58635
            [stop_loss] => 0.5675
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.5878
            [stop_loss] => 0.5675
            [rr_ratio] => 6
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.58925
            [stop_loss] => 0.5675
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.5907
            [stop_loss] => 0.5675
            [rr_ratio] => 7
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)