Trade

sell - PI

Status
win
2025-03-31 08:54:24
25 minutes
PNL
1.63
Entry: 0.7124
Last: 0.70080000

Results

Status:
win
Trade Type:
sell
ML Prediction:
ML Score: 60
Prediction Score:

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.00515308
Details
  1. score: 1.05
  2. long_trend_details: ema9 - 0.712818
  3. long_trend_details: ema21 - 0.733821
  4. long_trend_details: ema50 - 0.763066
  5. long_trend_details: ema9_ema21_diff - -2.86209
  6. long_trend_details: ema21_ema50_diff - -3.83259
  7. long_trend_details: ema9_ema50_diff - -6.58499
  8. long_trend_details: price_ema21_diff - -2.9191
  9. long_trend_details: all_emas_in_trend - True
  10. long_trend_details: all_emas_and_price_in_trend - True
  11. ¸

📌 Données temporelles

Start at Closed at Duration
2025-03-31 08:54:24 2025-03-31 09:20:00 25 minutes

📌 Informations d'entrée et sortie

Entry Stop Loss Take Profit RR Current Price
0.7124 0.7201 0.7008 1.5 0.6483
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 0.7124
  • Stop Loss: 0.7201
  • Take Profit: 0.7008

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7201 - 0.7124 = 0.0076999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7124 - 0.7008 = 0.0116

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0116 / 0.0076999999999999 = 1.5065

📌 Informations de position et de gestion du risque

Amount Margin Quantity Leverage
737.3 737.3 1035 7.37
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 0.0076999999999999

Taille de position = 8 / 0.0076999999999999 = 1038.96

Taille de position USD = 1038.96 x 0.7124 = 740.16

Donc, tu peux acheter 1038.96 avec un stoploss a 0.7201

Avec un position size USD de 740.16$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1038.96 x 0.0076999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1038.96 x 0.0116 = 12.05

Si Take Profit atteint, tu gagneras 12.05$

Résumé

  • Taille de position 1038.96
  • Taille de position USD 740.16
  • Perte potentielle 8
  • Gain potentiel 12.05
  • Risk-Reward Ratio 1.5065

📌 Peformances

TP % Target TP $ Target
1.6 % 12 $
SL % Target SL $ Target
1.1 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.63 0

📌 ML Extra Data

Extra RRR data


                      Array
(
    [2] => Array
        (
            [take_profit] => 0.697
            [stop_loss] => 0.7201
            [rr_ratio] => 2
            [closed_at] => 2025-03-31 09:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.69315
            [stop_loss] => 0.7201
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-31 09:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6893
            [stop_loss] => 0.7201
            [rr_ratio] => 3
            [closed_at] => 2025-03-31 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.68545
            [stop_loss] => 0.7201
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-31 11:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.6816
            [stop_loss] => 0.7201
            [rr_ratio] => 4
            [closed_at] => 2025-03-31 11:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.67775
            [stop_loss] => 0.7201
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-31 11:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.6739
            [stop_loss] => 0.7201
            [rr_ratio] => 5
            [closed_at] => 2025-03-31 11:35:00
            [result] => loss
        )

)

Extra SL data


                      Array
(
)

📌 Vector Search

Trade ID Symbol Start at Seach Score Trade SCore View
912 PI 2025-03-31 08:54:24 0.99999994 60
1385 AI16Z 2025-04-03 17:02:23 0.977266133 -100
1396 AI16Z 2025-04-03 17:11:56 0.977098286 30
1378 AI16Z 2025-04-03 16:51:55 0.97523421 -100
219 IP 2025-03-26 21:05:06 0.973967671 30
1162 BANANA 2025-04-02 06:31:55 0.968373358 30
441 MOVE 2025-03-28 05:54:36 0.968135595 50
1609 BANANA 2025-04-06 20:32:09 0.967831433 -100
711 GNO 2025-03-29 17:14:19 0.967532277 -100
172 AI16Z 2025-03-26 20:34:58 0.965397418 -100