Trade

buy - MOCA

Status
win
2025-03-26 07:44:18
40 minutes
PNL
0.57
Entry: 0.1057
Last: 0.10630000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 30
ML Pullback Score: 0.4

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.00029144562872825
Details
  1. score: 2.03

Long Trade on MOCA

The 26 Mar 2025 at 07:44:18

With 18299.5825 MOCA at 0.1057$ per unit.

Position size of 1933.7169 $

Take profit at 0.1063 (0.57 %) and Stop Loss at 0.1052 (0.47 %)

That's a 1.2 RR Trade

📌 Similar Trades

Similar Trade Score: -37.67 %

Symbol Start at Seach Score Trade Score Trades Count
BIGTIME 2025-04-11 17:51:08 0.9341 -6.67 3
NEIROETH 2025-05-09 08:41:19 0.9177 -100 1
BNB 2025-05-10 07:02:26 0.9149 -100 1
SAFE 2025-05-23 07:48:20 0.9093 -100 1
LTC 2025-05-07 07:24:12 0.896 -100 3
DOGE 2025-07-06 21:08:21 0.8943 30 1
GMX 2025-07-11 14:30:50 0.8935 30 1
OM 2025-05-10 22:53:31 0.8913 40 1
OM 2025-05-21 10:31:16 0.8901 30 1
INIT 2025-05-12 14:27:00 0.8907 -100 1

📌 Time Data

Start at Closed at Duration
26 Mar 2025
07:44:18
26 Mar 2025
08:25:00
40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1057 0.1052 0.1063 1.2 0.08869
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 0.1057
  • Stop Loss: 0.1052
  • Take Profit: 0.1063

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1052 - 0.1057 = -0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1057 - 0.1063 = -0.0006

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0006 / -0.0005 = 1.2

📌 Position Size

Amount Margin Quantity Leverage
1933.7169 1933.7169 18299.5825 19.34
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 -0.0005

Taille de position = 8 / -0.0005 = -16000

Taille de position USD = -16000 x 0.1057 = -1691.2

Donc, tu peux acheter -16000 avec un stoploss a 0.1052

Avec un position size USD de -1691.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -16000 x -0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -16000 x -0.0006 = 9.6

Si Take Profit atteint, tu gagneras 9.6$

Résumé

  • Taille de position -16000
  • Taille de position USD -1691.2
  • Perte potentielle 8
  • Gain potentiel 9.6
  • Risk-Reward Ratio 1.2

📌 Peformances

TP % Target TP $ Target
0.57 % 10.98 $
SL % Target SL $ Target
0.47 % 9.15 $
PNL PNL %
10.98 $ 0.57
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 0.1067
            [stop_loss] => 0.1052
            [rr_ratio] => 2
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.10695
            [stop_loss] => 0.1052
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1072
            [stop_loss] => 0.1052
            [rr_ratio] => 3
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1077
            [stop_loss] => 0.1052
            [rr_ratio] => 4
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.10795
            [stop_loss] => 0.1052
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1082
            [stop_loss] => 0.1052
            [rr_ratio] => 5
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.10845
            [stop_loss] => 0.1052
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1087
            [stop_loss] => 0.1052
            [rr_ratio] => 6
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.10895
            [stop_loss] => 0.1052
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1092
            [stop_loss] => 0.1052
            [rr_ratio] => 7
            [closed_at] => 2025-03-26 09:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0006
            [max_drawdown] => 0.0015
            [rr_ratio] => 0.4
            [high] => 0.10630000
            [low] => 0.10420000
            [mfe_pct] => 0.57
            [mae_pct] => 1.42
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 24
            [start_at] => 2025-03-26T07:44:18-04:00
            [end_at] => 2025-03-26T09:44:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0006
            [max_drawdown] => 0.00462
            [rr_ratio] => 0.13
            [high] => 0.10630000
            [low] => 0.10108000
            [mfe_pct] => 0.57
            [mae_pct] => 4.37
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 72
            [start_at] => 2025-03-26T07:44:18-04:00
            [end_at] => 2025-03-26T13:44:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10738000
            [high_after] => 0.10630000
            [low_before] => 0.10567000
            [low_after] => 0.10108000
            [is_new_high] => 
            [is_new_low] => 
        )

)