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Trade

buy - ZRO

Status
win
2025-03-27 01:34:29
30 minutes
PNL
2.30
Entry: 3.16
Last: 3.23270000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 50

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.032312657038334
Details
  1. score: 2.06

Long Trade on ZRO

The 27 Mar 2025 at 01:34:29

With 165.1 ZRO at 3.16$ per unit.

Position size of 521.6 $

Take profit at 3.233 (2.3 %) and Stop Loss at 3.112 (1.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -12.78 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-05-06 23:01:01 0.9213 -100 1
PONKE 2025-04-12 13:16:46 0.9098 85 2
SYRUP 2025-06-11 13:02:25 0.908 -100 1
ADA 2025-07-09 10:43:00 0.9071 40 1
MEW 2025-07-06 11:52:56 0.9064 30 1
SUI 2025-04-01 07:48:21 0.9025 100 2
SOL 2025-05-23 07:31:06 0.9001 -100 2
AVAX 2025-05-02 00:40:39 0.9004 -100 2
DOGE 2025-07-09 10:33:46 0.8972 30 1

📌 Time Data

Start at Closed at Duration
27 Mar 2025
01:34:29		 27 Mar 2025
02:05:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.16 3.112 3.233 1.5 2.198
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 3.16
  • Stop Loss: 3.112
  • Take Profit: 3.233

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.112 - 3.16 = -0.048

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.16 - 3.233 = -0.073

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.073 / -0.048 = 1.5208

📌 Position Size

Amount Margin Quantity Leverage
521.6 521.6 165.1 5.22
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 -0.048

Taille de position = 8 / -0.048 = -166.67

Taille de position USD = -166.67 x 3.16 = -526.68

Donc, tu peux acheter -166.67 avec un stoploss a 3.112

Avec un position size USD de -526.68$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -166.67 x -0.048 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -166.67 x -0.073 = 12.17

Si Take Profit atteint, tu gagneras 12.17$

Résumé

  • Taille de position -166.67
  • Taille de position USD -526.68
  • Perte potentielle 8
  • Gain potentiel 12.17
  • Risk-Reward Ratio 1.5208

📌 Peformances

TP % Target TP $ Target
2.3 % 12 $
SL % Target SL $ Target
1.5 % 7.9 $
PNL PNL %
12 $ 2.30
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.256
            [stop_loss] => 3.112
            [rr_ratio] => 2
            [closed_at] => 2025-03-27 02:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.28
            [stop_loss] => 3.112
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-27 02:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.304
            [stop_loss] => 3.112
            [rr_ratio] => 3
            [closed_at] => 2025-03-27 05:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 3.328
            [stop_loss] => 3.112
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-27 05:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 3.352
            [stop_loss] => 3.112
            [rr_ratio] => 4
            [closed_at] => 2025-03-27 05:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.376
            [stop_loss] => 3.112
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-27 05:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.4
            [stop_loss] => 3.112
            [rr_ratio] => 5
            [closed_at] => 2025-03-27 05:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.424
            [stop_loss] => 3.112
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-27 05:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.448
            [stop_loss] => 3.112
            [rr_ratio] => 6
            [closed_at] => 2025-03-27 05:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 3.472
            [stop_loss] => 3.112
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-27 05:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 3.496
            [stop_loss] => 3.112
            [rr_ratio] => 7
            [closed_at] => 2025-03-27 05:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)