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Trade

sell - NEAR

Status
win
2025-03-29 00:14:30
30 minutes
PNL
0.66
Entry: 2.761
Last: 2.74270000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0081230771244193
Details
  1. score: 1.06

Short Trade on NEAR

The 29 Mar 2025 at 00:14:30

With 656.6 NEAR at 2.761$ per unit.

Position size of 1813 $

Take profit at 2.743 (0.65 %) and Stop Loss at 2.773 (0.43 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -40.56 %

Symbol Start at Seach Score Trade Score Trades Count
HYPE 2025-04-03 17:12:14 0.9007 -83.33 3
PI 2025-05-30 11:38:31 0.9049 -100 1
ARK 2025-04-07 09:51:58 0.9031 -100 1
BNB 2025-04-03 18:02:24 0.8954 40 1
HIFI 2025-07-07 15:17:19 0.8898 -30 2
HBAR 2025-06-14 23:38:19 0.8847 30 4

📌 Time Data

Start at Closed at Duration
29 Mar 2025
00:14:30		 29 Mar 2025
00:45:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.761 2.773 2.743 1.5 2.335
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 2.761
  • Stop Loss: 2.773
  • Take Profit: 2.743

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.773 - 2.761 = 0.012

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.761 - 2.743 = 0.018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.018 / 0.012 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1813 1813 656.6 18.13
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 0.012

Taille de position = 8 / 0.012 = 666.67

Taille de position USD = 666.67 x 2.761 = 1840.68

Donc, tu peux acheter 666.67 avec un stoploss a 2.773

Avec un position size USD de 1840.68$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 666.67 x 0.012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 666.67 x 0.018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 666.67
  • Taille de position USD 1840.68
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.65 % 12 $
SL % Target SL $ Target
0.43 % 7.9 $
PNL PNL %
12 $ 0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.737
            [stop_loss] => 2.773
            [rr_ratio] => 2
            [closed_at] => 2025-03-29 01:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.731
            [stop_loss] => 2.773
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-29 01:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.725
            [stop_loss] => 2.773
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 01:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.719
            [stop_loss] => 2.773
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 01:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.713
            [stop_loss] => 2.773
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 02:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.707
            [stop_loss] => 2.773
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 02:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.701
            [stop_loss] => 2.773
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 02:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.695
            [stop_loss] => 2.773
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-29 02:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.689
            [stop_loss] => 2.773
            [rr_ratio] => 6
            [closed_at] => 2025-03-29 02:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.683
            [stop_loss] => 2.773
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-29 03:05:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 2.677
            [stop_loss] => 2.773
            [rr_ratio] => 7
            [closed_at] => 2025-03-29 03:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)