Trade

sell - WIF

Status
win
2025-03-29 20:10:23
14 minutes
PNL
0.69
Entry: 0.4327
Last: 0.42970000

Results

Status:
win
Trade Type:
sell
ML Prediction:
ML Score: 40
Prediction Score:

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.00133275
Details
  1. score: 1.12
  2. long_trend_details: ema9 - 0.429626
  3. long_trend_details: ema21 - 0.437668
  4. long_trend_details: ema50 - 0.460617
  5. long_trend_details: ema9_ema21_diff - -1.83752
  6. long_trend_details: ema21_ema50_diff - -4.98206
  7. long_trend_details: ema9_ema50_diff - -6.72804
  8. long_trend_details: price_ema21_diff - -1.13531
  9. long_trend_details: all_emas_in_trend - True
  10. long_trend_details: all_emas_and_price_in_trend - False
  11. ¸

📌 Données temporelles

Start at Closed at Duration
2025-03-29 20:10:23 2025-03-29 20:25:00 14 minutes

📌 Informations d'entrée et sortie

Entry Stop Loss Take Profit RR Current Price
0.4327 0.4347 0.4297 1.5 0.4314
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 0.4327
  • Stop Loss: 0.4347
  • Take Profit: 0.4297

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4347 - 0.4327 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4327 - 0.4297 = 0.0029999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0029999999999999 / 0.002 = 1.5

📌 Informations de position et de gestion du risque

Amount Margin Quantity Leverage
1732 1732 4002 17.32
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.4327 = 1730.8

Donc, tu peux acheter 4000 avec un stoploss a 0.4347

Avec un position size USD de 1730.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0029999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 4000
  • Taille de position USD 1730.8
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.69 % 12 $
SL % Target SL $ Target
0.46 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.69 -0.23110700254218

📌 ML Extra Data

Extra RRR data


                      Array
(
    [2] => Array
        (
            [take_profit] => 0.4287
            [stop_loss] => 0.4347
            [rr_ratio] => 2
            [closed_at] => 2025-03-29 20:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.4277
            [stop_loss] => 0.4347
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.4267
            [stop_loss] => 0.4347
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.4257
            [stop_loss] => 0.4347
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.4247
            [stop_loss] => 0.4347
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.4237
            [stop_loss] => 0.4347
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.4227
            [stop_loss] => 0.4347
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

)

Extra SL data


                      Array
(
)

📌 Vector Search

Trade ID Symbol Start at Seach Score Trade SCore View
750 WIF 2025-03-29 20:10:23 0.99999994 40
748 1000BONK 2025-03-29 20:10:23 0.970073938 60
746 LINK 2025-03-29 20:10:23 0.964475691 60
753 MOVE 2025-03-29 20:10:23 0.962077856 90
754 AI16Z 2025-03-29 20:10:23 0.956251085 50
744 UNI 2025-03-29 20:08:47 0.955037594 -80
466 BGB 2025-03-28 14:24:49 0.952811599 60
465 BGB 2025-03-28 14:14:58 0.952407837 60
460 BGB 2025-03-28 14:05:02 0.950843751 60
758 UNI 2025-03-29 20:23:45 0.950514674 60