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Trade

sell - API3

Status
win
2025-03-27 16:14:36
20 minutes
PNL
0.97
Entry: 1.1554
Last: 1.14420000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: 40
ML Pullback Score: 4.12

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.004997511976939
Details
  1. score: 1.05

Short Trade on API3

The 27 Mar 2025 at 16:14:36

With 1067.1977 API3 at 1.1554$ per unit.

Position size of 1233.0402 $

Take profit at 1.1442 (0.97 %) and Stop Loss at 1.1629 (0.65 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -73.33 %

Symbol Start at Seach Score Trade Score Trades Count
GRIFFAIN 2025-05-17 07:09:05 0.9734 -100 5
ANIME 2025-06-11 03:27:44 0.9747 -53.33 3
GOAT 2025-05-17 07:05:06 0.9696 -100 2
BGSC 2025-07-02 05:23:22 0.9697 -100 1
NEWT 2025-06-30 15:25:10 0.9694 -13.33 3

📌 Time Data

Start at Closed at Duration
27 Mar 2025
16:14:36		 27 Mar 2025
16:35:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1554 1.1629 1.1442 1.49 0.7609
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 1.1554
  • Stop Loss: 1.1629
  • Take Profit: 1.1442

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1629 - 1.1554 = 0.0075000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1554 - 1.1442 = 0.0112

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0112 / 0.0075000000000001 = 1.4933

📌 Position Size

Amount Margin Quantity Leverage
1233.0402 1233.0402 1067.1977 12.33
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 0.0075000000000001

Taille de position = 8 / 0.0075000000000001 = 1066.67

Taille de position USD = 1066.67 x 1.1554 = 1232.43

Donc, tu peux acheter 1066.67 avec un stoploss a 1.1629

Avec un position size USD de 1232.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1066.67 x 0.0075000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1066.67 x 0.0112 = 11.95

Si Take Profit atteint, tu gagneras 11.95$

Résumé

  • Taille de position 1066.67
  • Taille de position USD 1232.43
  • Perte potentielle 8
  • Gain potentiel 11.95
  • Risk-Reward Ratio 1.4933

📌 Peformances

TP % Target TP $ Target
0.97 % 11.95 $
SL % Target SL $ Target
0.65 % 8 $
PNL PNL %
11.95 $ 0.97
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.139
            [stop_loss] => 1.163
            [rr_ratio] => 2
            [closed_at] => 2025-03-27 16:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.135
            [stop_loss] => 1.163
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-27 18:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.131
            [stop_loss] => 1.163
            [rr_ratio] => 3
            [closed_at] => 2025-03-27 18:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.127
            [stop_loss] => 1.163
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-27 18:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.123
            [stop_loss] => 1.163
            [rr_ratio] => 4
            [closed_at] => 2025-03-27 18:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.119
            [stop_loss] => 1.163
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-27 18:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.115
            [stop_loss] => 1.163
            [rr_ratio] => 5
            [closed_at] => 2025-03-27 18:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.111
            [stop_loss] => 1.163
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-27 18:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.107
            [stop_loss] => 1.163
            [rr_ratio] => 6
            [closed_at] => 2025-03-27 18:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.103
            [stop_loss] => 1.163
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-27 18:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.099
            [stop_loss] => 1.163
            [rr_ratio] => 7
            [closed_at] => 2025-03-27 18:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0178
            [max_drawdown] => 0.0010000000000001
            [rr_ratio] => 17.8
            [high] => 1.15640000
            [low] => 1.13760000
            [mfe_pct] => 1.54
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 17.8
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T16:14:36-04:00
            [end_at] => 2025-03-27T18:14:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0178
            [max_drawdown] => 0.0896
            [rr_ratio] => 0.2
            [high] => 1.24500000
            [low] => 1.13760000
            [mfe_pct] => 1.54
            [mae_pct] => 7.75
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T16:14:36-04:00
            [end_at] => 2025-03-27T22:14:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.15880000
            [high_after] => 1.24500000
            [low_before] => 1.12680000
            [low_after] => 1.13760000
            [is_new_high] => 
            [is_new_low] => 
        )

)