Trade

sell - TRUMP

Status
loss
2025-03-29 19:43:53
6 minutes
PNL
-0.31
Entry: 10.04
Last: 10.07140000

Results

Status:
loss
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: -100
ML Pullback Score: 0.72

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0209596
Details
  1. score: 1.03
  2. long_trend_details
  3. ema9 - 10.005
  4. ema21 - 10.0974
  5. ema50 - 10.372
  6. ema9_ema21_diff - -0.914985
  7. ema21_ema50_diff - -2.64685
  8. ema9_ema50_diff - -3.53761
  9. price_ema21_diff - -0.569259
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
  12. ¸

Short Trade on TRUMP

The 29 Mar 2025 at 19:43:53

With 254.4578 TRUMP at 10.04$ per unit.

Position size of 2554.7561 $

Take profit at 9.9928 (0.47 %) and Stop Loss at 10.0714 (0.31 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -25.75 %

Symbol Start at Seach Score Trade Score Trades Count
ONDO 2025-03-29 19:43:53 0.9545 60 1
1000BONK 2025-03-29 19:43:53 0.9104 -100 1
DOGE 2025-03-29 20:01:00 0.888 -96 5
SUI 2025-03-29 19:43:53 0.89 50 1
LQTY 2025-06-13 09:44:22 0.889 30 1
WIF 2025-05-28 07:04:28 0.8801 -100 2
SYRUP 2025-06-21 00:41:32 0.8784 50 1
HBAR 2025-03-29 19:43:53 0.8771 -100 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
19:43:53
29 Mar 2025
19:50:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
10.04 10.0714 9.9928 1.5 9.755
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 10.04
  • Stop Loss: 10.0714
  • Take Profit: 9.9928

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 10.0714 - 10.04 = 0.031400000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 10.04 - 9.9928 = 0.047199999999998

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.047199999999998 / 0.031400000000001 = 1.5032

📌 Position Size

Amount Margin Quantity Leverage
2554.7561 2554.7561 254.4578 25.55
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 0.031400000000001

Taille de position = 8 / 0.031400000000001 = 254.78

Taille de position USD = 254.78 x 10.04 = 2557.99

Donc, tu peux acheter 254.78 avec un stoploss a 10.0714

Avec un position size USD de 2557.99$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 254.78 x 0.031400000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 254.78 x 0.047199999999998 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position 254.78
  • Taille de position USD 2557.99
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.5032

📌 Peformances

TP % Target TP $ Target
0.47 % 12.01 $
SL % Target SL $ Target
0.31 % 7.99 $
PNL PNL %
-7.99 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.398406374502 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.993
            [entry_price] => 10.04
            [stop_loss] => 10.073
            [rr_ratio] => 1.42
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.993
            [entry_price] => 10.04
            [stop_loss] => 10.076
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.993
            [entry_price] => 10.04
            [stop_loss] => 10.079
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.993
            [entry_price] => 10.04
            [stop_loss] => 10.085
            [rr_ratio] => 1.04
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.077999999999999
            [max_drawdown] => 0.124
            [rr_ratio] => 0.63
            [high] => 10.16400000
            [low] => 9.96200000
            [mfe_pct] => 0.78
            [mae_pct] => 1.24
            [mfe_mae_ratio] => 0.63
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T19:43:53-04:00
            [end_at] => 2025-03-29T21:43:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.077999999999999
            [max_drawdown] => 0.214
            [rr_ratio] => 0.36
            [high] => 10.25400000
            [low] => 9.96200000
            [mfe_pct] => 0.78
            [mae_pct] => 2.13
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T19:43:53-04:00
            [end_at] => 2025-03-30T01:43:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 10.05700000
            [high_after] => 10.25400000
            [low_before] => 9.90400000
            [low_after] => 9.96200000
            [is_new_high] => 
            [is_new_low] => 
        )

)