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Trade

sell - NEAR

Status
loss
2025-03-29 21:13:47
16 minutes
PNL
-0.51
Entry: 2.592
Last: 2.60510000

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: -0.01

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.00871224
Details
  1. score: 1.1
  2. long_trend_details
  3. ema9 - 2.56758
  4. ema21 - 2.60628
  5. ema50 - 2.70554
  6. ema9_ema21_diff - -1.48486
  7. ema21_ema50_diff - -3.66864
  8. ema9_ema50_diff - -5.09903
  9. price_ema21_diff - -0.548284
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Short Trade on NEAR

The 29 Mar 2025 at 21:13:47

With 612.1656 NEAR at 2.592$ per unit.

Position size of 1586.7331 $

Take profit at 2.5724 (0.76 %) and Stop Loss at 2.6051 (0.51 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -47.78 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-03-29 21:27:05 0.9635 -100 3
ETH 2025-03-29 21:13:47 0.9702 -100 1
WLD 2025-03-29 21:13:47 0.9566 -100 1
LISTA 2025-05-31 03:48:48 0.9494 30 2
UNI 2025-03-29 21:13:47 0.949 -100 1
LINK 2025-04-03 17:11:56 0.9486 -100 1
PNUT 2025-04-02 05:51:52 0.9477 100 1
DOGE 2025-04-03 17:11:56 0.9457 -100 1
BNB 2025-04-03 18:02:24 0.9455 40 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
21:13:47		 29 Mar 2025
21:30:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.592 2.6051 2.5724 1.5 2.802
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 2.592
  • Stop Loss: 2.6051
  • Take Profit: 2.5724

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6051 - 2.592 = 0.0131

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.592 - 2.5724 = 0.0196

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0196 / 0.0131 = 1.4962

📌 Position Size

Amount Margin Quantity Leverage
1586.7331 1586.7331 612.1656 15.87
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 0.0131

Taille de position = 8 / 0.0131 = 610.69

Taille de position USD = 610.69 x 2.592 = 1582.91

Donc, tu peux acheter 610.69 avec un stoploss a 2.6051

Avec un position size USD de 1582.91$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 610.69 x 0.0131 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 610.69 x 0.0196 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

  • Taille de position 610.69
  • Taille de position USD 1582.91
  • Perte potentielle 8
  • Gain potentiel 11.97
  • Risk-Reward Ratio 1.4962

📌 Peformances

TP % Target TP $ Target
0.76 % 12 $
SL % Target SL $ Target
0.51 % 8.02 $
PNL PNL %
-8.02 $ -0.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.61728395061728 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.572
            [entry_price] => 2.592
            [stop_loss] => 2.6063
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 21:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.572
            [entry_price] => 2.592
            [stop_loss] => 2.6076
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 21:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.572
            [entry_price] => 2.592
            [stop_loss] => 2.6089
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 21:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.572
            [entry_price] => 2.592
            [stop_loss] => 2.6115
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 21:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00099999999999989
            [max_drawdown] => 0.068
            [rr_ratio] => -0.01
            [high] => 2.66000000
            [low] => 2.59300000
            [mfe_pct] => -0.04
            [mae_pct] => 2.62
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T21:13:47-04:00
            [end_at] => 2025-03-29T23:13:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.00099999999999989
            [max_drawdown] => 0.072
            [rr_ratio] => -0.01
            [high] => 2.66400000
            [low] => 2.59300000
            [mfe_pct] => -0.04
            [mae_pct] => 2.78
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T21:13:47-04:00
            [end_at] => 2025-03-30T03:13:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.60000000
            [high_after] => 2.66400000
            [low_before] => 2.53000000
            [low_after] => 2.59300000
            [is_new_high] => 
            [is_new_low] => 
        )

)