Trade

buy - BROCCOLI

Status
win
2025-03-27 17:14:38
1 hour
PNL
7.22
Entry: 0.07335
Last: 0.07870000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0023894621423606
Details
  1. score: 2.07

Long Trade on BROCCOLI

The 27 Mar 2025 at 17:14:38

With 163.7 BROCCOLI at 0.07335$ per unit.

Take profit at 0.07873 (7.3 %) and Stop Loss at 0.06977 (4.9 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 0.5 %

Symbol Start at Seach Score Trade Score Trades Count
TUT 2025-03-27 17:29:34 0.9659 65 2
BNB 2025-05-09 23:08:22 0.9668 -100 2
AI16Z 2025-04-09 17:41:23 0.9602 30 2
SXP 2025-04-12 09:50:53 0.9653 30 1
ONDO 2025-04-24 13:52:46 0.9651 30 1
NKN 2025-04-20 03:40:50 0.9575 90 1
MAGIC 2025-04-24 17:16:18 0.9552 -100 2
RARE 2025-04-16 06:31:24 0.9548 -100 1
WAL 2025-04-27 11:13:03 0.9547 30 1
NEIROETH 2025-06-03 00:34:46 0.9544 30 1

📌 Time Data

Start at Closed at Duration
27 Mar 2025
17:14:38
27 Mar 2025
18:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07335 0.06977 0.07873 1.5 0.02513
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 0.07335
  • Stop Loss: 0.06977
  • Take Profit: 0.07873

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06977 - 0.07335 = -0.00358

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07335 - 0.07873 = -0.00538

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00538 / -0.00358 = 1.5028

📌 Position Size

Amount Margin Quantity Leverage
163.7 163.7 2232 1.64
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 -0.00358

Taille de position = 8 / -0.00358 = -2234.64

Taille de position USD = -2234.64 x 0.07335 = -163.91

Donc, tu peux acheter -2234.64 avec un stoploss a 0.06977

Avec un position size USD de -163.91$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2234.64 x -0.00358 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2234.64 x -0.00538 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position -2234.64
  • Taille de position USD -163.91
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5028

📌 Peformances

TP % Target TP $ Target
7.3 % 12 $
SL % Target SL $ Target
4.9 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 7.22 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.08051
            [stop_loss] => 0.06977
            [rr_ratio] => 2
            [closed_at] => 2025-03-27 18:55:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.0823
            [stop_loss] => 0.06977
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-27 18:55:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.08409
            [stop_loss] => 0.06977
            [rr_ratio] => 3
            [closed_at] => 2025-03-27 18:55:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.08588
            [stop_loss] => 0.06977
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-27 18:55:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.08767
            [stop_loss] => 0.06977
            [rr_ratio] => 4
            [closed_at] => 2025-03-27 18:55:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.08946
            [stop_loss] => 0.06977
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-27 18:55:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.09125
            [stop_loss] => 0.06977
            [rr_ratio] => 5
            [closed_at] => 2025-03-27 18:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)