Trade

sell - IP

Status
win
2025-03-26 22:55:07
39 minutes
PNL
0.86
Entry: 5.847
Last: 5.79660000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 60

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.022254180546139
Details
  1. score: 1.03

Short Trade on IP

The 26 Mar 2025 at 22:55:07

With 239.7 IP at 5.847$ per unit.

Position size of 1401 $

Take profit at 5.797 (0.86 %) and Stop Loss at 5.88 (0.56 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 10 %

Symbol Start at Seach Score Trade Score Trades Count
NOT 2025-04-06 21:31:30 0.9788 100 1
HUMA 2025-05-30 09:35:06 0.9746 -100 1
JTO 2025-07-06 09:43:58 0.9735 -100 1
GRASS 2025-05-25 09:44:41 0.9716 30 3
BANANAS31 2025-07-11 22:58:14 0.9726 -100 1
SAHARA 2025-07-02 10:39:13 0.9722 -100 1
GORK 2025-05-16 23:03:01 0.9721 30 1
PI 2025-06-30 11:30:47 0.9718 50 1
WLD 2025-04-06 21:31:11 0.9717 100 1
BANANA 2025-04-06 21:31:44 0.9711 100 1
CETUS 2025-05-25 15:33:28 0.9705 30 1
SWARMS 2025-03-26 22:25:08 0.9701 80 1

📌 Time Data

Start at Closed at Duration
26 Mar 2025
22:55:07
26 Mar 2025
23:35:00
39 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.847 5.88 5.797 1.5 4.856
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 5.847
  • Stop Loss: 5.88
  • Take Profit: 5.797

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.88 - 5.847 = 0.032999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.847 - 5.797 = 0.050000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.050000000000001 / 0.032999999999999 = 1.5152

📌 Position Size

Amount Margin Quantity Leverage
1401 1401 239.7 14.01
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 0.032999999999999

Taille de position = 8 / 0.032999999999999 = 242.42

Taille de position USD = 242.42 x 5.847 = 1417.43

Donc, tu peux acheter 242.42 avec un stoploss a 5.88

Avec un position size USD de 1417.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 242.42 x 0.032999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 242.42 x 0.050000000000001 = 12.12

Si Take Profit atteint, tu gagneras 12.12$

Résumé

  • Taille de position 242.42
  • Taille de position USD 1417.43
  • Perte potentielle 8
  • Gain potentiel 12.12
  • Risk-Reward Ratio 1.5152

📌 Peformances

TP % Target TP $ Target
0.86 % 12 $
SL % Target SL $ Target
0.56 % 7.9 $
PNL PNL %
12 $ 0.86
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 5.781
            [stop_loss] => 5.88
            [rr_ratio] => 2
            [closed_at] => 2025-03-26 23:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 5.7645
            [stop_loss] => 5.88
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-27 00:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 5.748
            [stop_loss] => 5.88
            [rr_ratio] => 3
            [closed_at] => 2025-03-27 01:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)