Trade

buy - MEW

Status
loss
2025-03-30 06:53:20
1 minute
PNL
0.00
Entry: 0.002708
Last: 0.00270000

Results

Status:
loss
Trade Type:
buy
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.85

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 2.05228E-5
Details
  1. score: 2.09
  2. long_trend_details
  3. ema9 - 0.00275208
  4. ema21 - 0.00266288
  5. ema50 - 0.002569
  6. ema9_ema21_diff - 3.34967
  7. ema21_ema50_diff - 3.65423
  8. ema9_ema50_diff - 7.12631
  9. price_ema21_diff - 1.69422
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
  12. ¸

Long Trade on MEW

The 30 Mar 2025 at 06:53:20

With 259873.5715 MEW at 0.002708$ per unit.

Position size of 703.7376 $

Take profit at 0.002754 (1.7 %) and Stop Loss at 0.002677 (1.14 %)

That's a 1.48 RR Trade

📌 Similar Trades

Similar Trade Score: -51.67 %

Symbol Start at Seach Score Trade Score Trades Count
BOME 2025-07-16 19:45:33 0.9599 -100 2
AI16Z 2025-04-09 21:14:43 0.9574 -80 2
PENGU 2025-05-02 17:56:03 0.9578 30 1
COOKIE 2025-06-16 07:34:30 0.9562 -100 2
FLOKI 2025-06-10 00:44:14 0.9546 -100 1
BGSC 2025-05-20 14:56:11 0.9537 -100 1
ONDO 2025-06-10 00:43:28 0.9523 45 2
GLM 2025-07-27 09:39:34 0.9523 40 1
SAND 2025-07-02 19:13:15 0.9516 -100 1

📌 Time Data

Start at Closed at Duration
30 Mar 2025
06:53:20
30 Mar 2025
06:55:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.002708 0.002677 0.002754 1.48 0.003103
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 0.002708
  • Stop Loss: 0.002677
  • Take Profit: 0.002754

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.002677 - 0.002708 = -3.1E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.002708 - 0.002754 = -4.6E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -4.6E-5 / -3.1E-5 = 1.4839

📌 Position Size

Amount Margin Quantity Leverage
703.7376 703.7376 259873.5715 7.04
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 -3.1E-5

Taille de position = 8 / -3.1E-5 = -258064.52

Taille de position USD = -258064.52 x 0.002708 = -698.84

Donc, tu peux acheter -258064.52 avec un stoploss a 0.002677

Avec un position size USD de -698.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -258064.52 x -3.1E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -258064.52 x -4.6E-5 = 11.87

Si Take Profit atteint, tu gagneras 11.87$

Résumé

  • Taille de position -258064.52
  • Taille de position USD -698.84
  • Perte potentielle 8
  • Gain potentiel 11.87
  • Risk-Reward Ratio 1.4839

📌 Peformances

TP % Target TP $ Target
1.7 % 11.95 $
SL % Target SL $ Target
1.14 % 8.06 $
PNL PNL %
0 $ 0.00
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.62962962962963 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.002754
            [entry_price] => 0.002708
            [stop_loss] => 0.0026739
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-30 07:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.002754
            [entry_price] => 0.002708
            [stop_loss] => 0.0026708
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-30 08:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.002754
            [entry_price] => 0.002708
            [stop_loss] => 0.0026677
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-30 09:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.002754
            [entry_price] => 0.002708
            [stop_loss] => 0.0026615
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-30 09:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.9E-5
            [max_drawdown] => 3.9E-5
            [rr_ratio] => 0.74
            [high] => 0.00273700
            [low] => 0.00266900
            [mfe_pct] => 1.07
            [mae_pct] => 1.44
            [mfe_mae_ratio] => 0.74
            [candles_analyzed] => 24
            [start_at] => 2025-03-30T06:53:20-04:00
            [end_at] => 2025-03-30T08:53:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.9E-5
            [max_drawdown] => 6.8E-5
            [rr_ratio] => 0.43
            [high] => 0.00273700
            [low] => 0.00264000
            [mfe_pct] => 1.07
            [mae_pct] => 2.51
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 72
            [start_at] => 2025-03-30T06:53:20-04:00
            [end_at] => 2025-03-30T12:53:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00285000
            [high_after] => 0.00273700
            [low_before] => 0.00269400
            [low_after] => 0.00264000
            [is_new_high] => 
            [is_new_low] => 
        )

)