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Trade

sell - NEAR

Status
loss
2025-03-29 21:33:44
26 minutes
PNL
-0.47
Entry: 2.602
Last: 2.61420000

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: 0.16

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.00812169
Details
  1. score: 1.16
  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 - -0.164597
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Short Trade on NEAR

The 29 Mar 2025 at 21:33:44

With 656.6778 NEAR at 2.602$ per unit.

Position size of 1708.6756 $

Take profit at 2.5837 (0.7 %) and Stop Loss at 2.6142 (0.47 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -20 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-03-29 21:33:44 0.952 -100 2
LISTA 2025-05-31 03:48:48 0.9487 30 2
ETH 2025-03-29 21:43:44 0.949 -100 1
LINK 2025-04-03 17:11:56 0.947 -100 1
BNB 2025-04-03 18:02:24 0.9445 40 1
DOGE 2025-04-03 17:11:56 0.9406 -100 1
SUI 2025-06-06 01:17:16 0.9399 -100 1
UNI 2025-03-28 20:50:01 0.9399 100 1
PNUT 2025-04-02 05:51:52 0.9394 100 1
AVAX 2025-06-06 01:16:00 0.9389 30 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
21:33:44		 29 Mar 2025
22:00:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.602 2.6142 2.5837 1.5 2.779
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 2.602
  • Stop Loss: 2.6142
  • Take Profit: 2.5837

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6142 - 2.602 = 0.0122

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.602 - 2.5837 = 0.0183

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0183 / 0.0122 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1708.6756 1708.6756 656.6778 17.09
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 0.0122

Taille de position = 8 / 0.0122 = 655.74

Taille de position USD = 655.74 x 2.602 = 1706.24

Donc, tu peux acheter 655.74 avec un stoploss a 2.6142

Avec un position size USD de 1706.24$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 655.74 x 0.0122 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 655.74 x 0.0183 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 655.74
  • Taille de position USD 1706.24
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.7 % 12.02 $
SL % Target SL $ Target
0.47 % 8.01 $
PNL PNL %
-8.01 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.69177555726365 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.584
            [entry_price] => 2.602
            [stop_loss] => 2.6152
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 22:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.584
            [entry_price] => 2.602
            [stop_loss] => 2.6164
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 22:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.584
            [entry_price] => 2.602
            [stop_loss] => 2.6176
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 22:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.584
            [entry_price] => 2.602
            [stop_loss] => 2.62
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 22:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0059999999999998
            [max_drawdown] => 0.062
            [rr_ratio] => 0.1
            [high] => 2.66400000
            [low] => 2.59600000
            [mfe_pct] => 0.23
            [mae_pct] => 2.38
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T21:33:44-04:00
            [end_at] => 2025-03-29T23:33:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.062
            [rr_ratio] => 0.13
            [high] => 2.66400000
            [low] => 2.59400000
            [mfe_pct] => 0.31
            [mae_pct] => 2.38
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T21:33:44-04:00
            [end_at] => 2025-03-30T03:33:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.60800000
            [high_after] => 2.66400000
            [low_before] => 2.53200000
            [low_after] => 2.59400000
            [is_new_high] => 
            [is_new_low] => 
        )

)