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Trade

buy - ZRO

Status
win
2025-03-27 01:24:54
45 minutes
PNL
2.42
Entry: 3.174
Last: 3.25080000

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: 0.02
  4. atr: 0.034151150534932
Details
  1. score: 2.02

Long Trade on ZRO

The 27 Mar 2025 at 01:24:54

With 156.2 ZRO at 3.174$ per unit.

Position size of 495.7 $

Take profit at 3.251 (2.4 %) and Stop Loss at 3.123 (1.6 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 2.78 %

Symbol Start at Seach Score Trade Score Trades Count
MEW 2025-07-06 11:52:56 0.9258 30 1
FET 2025-05-06 23:01:01 0.9244 -100 1
SUI 2025-04-01 07:46:43 0.9114 100 3
PONKE 2025-04-12 13:16:46 0.9087 85 2
ADA 2025-07-09 10:43:00 0.9036 40 1
DOGE 2025-07-09 10:33:46 0.9033 30 1
SOL 2025-05-23 07:24:48 0.901 -100 1
TAO 2025-05-09 05:28:31 0.8971 40 1
SYRUP 2025-06-11 13:02:25 0.8955 -100 1

📌 Time Data

Start at Closed at Duration
27 Mar 2025
01:24:54		 27 Mar 2025
02:10:00		 45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.174 3.123 3.251 1.5 2.112
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 3.174
  • Stop Loss: 3.123
  • Take Profit: 3.251

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.123 - 3.174 = -0.051

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.174 - 3.251 = -0.077

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.077 / -0.051 = 1.5098

📌 Position Size

Amount Margin Quantity Leverage
495.7 495.7 156.2 4.96
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 -0.051

Taille de position = 8 / -0.051 = -156.86

Taille de position USD = -156.86 x 3.174 = -497.87

Donc, tu peux acheter -156.86 avec un stoploss a 3.123

Avec un position size USD de -497.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -156.86 x -0.051 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -156.86 x -0.077 = 12.08

Si Take Profit atteint, tu gagneras 12.08$

Résumé

  • Taille de position -156.86
  • Taille de position USD -497.87
  • Perte potentielle 8
  • Gain potentiel 12.08
  • Risk-Reward Ratio 1.5098

📌 Peformances

TP % Target TP $ Target
2.4 % 12 $
SL % Target SL $ Target
1.6 % 8 $
PNL PNL %
12 $ 2.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 3.276
            [stop_loss] => 3.123
            [rr_ratio] => 2
            [closed_at] => 2025-03-27 02:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.3015
            [stop_loss] => 3.123
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-27 05:10:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 3.327
            [stop_loss] => 3.123
            [rr_ratio] => 3
            [closed_at] => 2025-03-27 05:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 3.3525
            [stop_loss] => 3.123
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-27 05:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 3.378
            [stop_loss] => 3.123
            [rr_ratio] => 4
            [closed_at] => 2025-03-27 05:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.4035
            [stop_loss] => 3.123
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-27 05:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.429
            [stop_loss] => 3.123
            [rr_ratio] => 5
            [closed_at] => 2025-03-27 05:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.4545
            [stop_loss] => 3.123
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-27 05:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.48
            [stop_loss] => 3.123
            [rr_ratio] => 6
            [closed_at] => 2025-03-27 05:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 3.5055
            [stop_loss] => 3.123
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-27 05:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 3.531
            [stop_loss] => 3.123
            [rr_ratio] => 7
            [closed_at] => 2025-03-27 05:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)