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Trade

sell - MOCA

Status
win
2025-03-31 19:14:05
1 hour
PNL
1.95
Entry: 0.07698
Last: 0.07550000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 30
ML Pullback Score: 0.97

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.000654542
Details
  1. score: 1.11
  2. long_trend_details
  3. ema9 - 0.0774384
  4. ema21 - 0.0813812
  5. ema50 - 0.0863261
  6. ema9_ema21_diff - -4.84482
  7. ema21_ema50_diff - -5.72809
  8. ema9_ema50_diff - -10.2954
  9. price_ema21_diff - -5.40822
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - True
    12. ¸

Short Trade on MOCA

The 31 Mar 2025 at 19:14:05

With 8148.1912 MOCA at 0.07698$ per unit.

Position size of 627.2478 $

Take profit at 0.07551 (1.91 %) and Stop Loss at 0.07796 (1.27 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -66.88 %

Symbol Start at Seach Score Trade Score Trades Count
XAUT 2025-05-12 08:49:30 0.961 -100 1
BGB 2025-04-28 02:43:43 0.9577 -100 2
PAXG 2025-05-12 08:41:26 0.9561 -100 2
DOG 2025-06-14 17:46:22 0.9559 -100 1
APE 2025-05-31 01:41:27 0.9539 -100 2
UNI 2025-07-02 00:45:21 0.9546 -100 1
HEI 2025-05-31 00:57:57 0.9543 30 1
APT 2025-05-31 00:55:02 0.9526 35 2

📌 Time Data

Start at Closed at Duration
31 Mar 2025
19:14:05		 31 Mar 2025
20:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07698 0.07796 0.07551 1.5 0.08778
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 0.07698
  • Stop Loss: 0.07796
  • Take Profit: 0.07551

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07796 - 0.07698 = 0.00097999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07698 - 0.07551 = 0.00147

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00147 / 0.00097999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
627.2478 627.2478 8148.1912 6.27
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 0.00097999999999999

Taille de position = 8 / 0.00097999999999999 = 8163.27

Taille de position USD = 8163.27 x 0.07698 = 628.41

Donc, tu peux acheter 8163.27 avec un stoploss a 0.07796

Avec un position size USD de 628.41$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8163.27 x 0.00097999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8163.27 x 0.00147 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 8163.27
  • Taille de position USD 628.41
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.91 % 11.98 $
SL % Target SL $ Target
1.27 % 7.99 $
PNL PNL %
12.22 $ 1.95
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.75324675324675 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.07502
            [stop_loss] => 0.07796
            [rr_ratio] => 2
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.07453
            [stop_loss] => 0.07796
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.07404
            [stop_loss] => 0.07796
            [rr_ratio] => 3
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.07355
            [stop_loss] => 0.07796
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.07306
            [stop_loss] => 0.07796
            [rr_ratio] => 4
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.07257
            [stop_loss] => 0.07796
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.07208
            [stop_loss] => 0.07796
            [rr_ratio] => 5
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.07159
            [stop_loss] => 0.07796
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.0711
            [stop_loss] => 0.07796
            [rr_ratio] => 6
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.07061
            [stop_loss] => 0.07796
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.07012
            [stop_loss] => 0.07796
            [rr_ratio] => 7
            [closed_at] => 2025-03-31 20:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00172
            [max_drawdown] => 0.00159
            [rr_ratio] => 1.08
            [high] => 0.07857000
            [low] => 0.07526000
            [mfe_pct] => 2.23
            [mae_pct] => 2.07
            [mfe_mae_ratio] => 1.08
            [candles_analyzed] => 24
            [start_at] => 2025-03-31T19:14:05-04:00
            [end_at] => 2025-03-31T21:14:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00172
            [max_drawdown] => 0.00986
            [rr_ratio] => 0.17
            [high] => 0.08684000
            [low] => 0.07526000
            [mfe_pct] => 2.23
            [mae_pct] => 12.81
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 72
            [start_at] => 2025-03-31T19:14:05-04:00
            [end_at] => 2025-04-01T01:14:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07755000
            [high_after] => 0.08684000
            [low_before] => 0.07312000
            [low_after] => 0.07526000
            [is_new_high] => 
            [is_new_low] => 
        )

)