Trade

sell - LINK

Status
loss
2025-03-31 06:53:51
1 hour
PNL
-0.57
Entry: 13.21
Last: 13.28540000

Results

Status:
loss
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: -60
ML Pullback Score: 0.49

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0502911
Details
  1. score: 1.04
  2. long_trend_details
  3. ema9 - 13.2328
  4. ema21 - 13.3666
  5. ema50 - 13.6209
  6. ema9_ema21_diff - -1.00166
  7. ema21_ema50_diff - -1.86638
  8. ema9_ema50_diff - -2.84935
  9. price_ema21_diff - -1.17228
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - True
  12. ¸

Short Trade on LINK

The 31 Mar 2025 at 06:53:51

With 106.0492 LINK at 13.21$ per unit.

Position size of 1400.9106 $

Take profit at 13.0968 (0.86 %) and Stop Loss at 13.2854 (0.57 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -15.42 %

Symbol Start at Seach Score Trade Score Trades Count
DOGE 2025-03-31 06:53:51 0.9918 30 1
AVAX 2025-03-31 06:53:51 0.9882 -100 1
ADA 2025-03-31 06:53:51 0.9704 40 1
CRV 2025-03-31 06:58:54 0.9447 55 2
DOT 2025-03-31 06:53:51 0.9482 -80 1
BCH 2025-03-31 06:53:51 0.9296 -100 1
AAVE 2025-03-31 06:53:51 0.915 -100 1
HBAR 2025-03-31 06:53:51 0.9134 30 1
BIGTIME 2025-04-07 04:41:46 0.9032 30 1
MANA 2025-07-15 00:41:52 0.8976 40 1
LDO 2025-05-29 22:45:13 0.8943 -100 2
CHESS 2025-07-06 02:02:40 0.8911 70 1

📌 Time Data

Start at Closed at Duration
31 Mar 2025
06:53:51
31 Mar 2025
08:40:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
13.21 13.2854 13.0968 1.5 19.335
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 13.21
  • Stop Loss: 13.2854
  • Take Profit: 13.0968

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 13.2854 - 13.21 = 0.075399999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 13.21 - 13.0968 = 0.1132

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1132 / 0.075399999999998 = 1.5013

📌 Position Size

Amount Margin Quantity Leverage
1400.9106 1400.9106 106.0492 14.01
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 0.075399999999998

Taille de position = 8 / 0.075399999999998 = 106.1

Taille de position USD = 106.1 x 13.21 = 1401.58

Donc, tu peux acheter 106.1 avec un stoploss a 13.2854

Avec un position size USD de 1401.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 106.1 x 0.075399999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 106.1 x 0.1132 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 106.1
  • Taille de position USD 1401.58
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5013

📌 Peformances

TP % Target TP $ Target
0.86 % 12 $
SL % Target SL $ Target
0.57 % 8 $
PNL PNL %
-8 $ -0.57
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.74186222558667 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 13.1
            [entry_price] => 13.21
            [stop_loss] => 13.298
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-31 07:30:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 13.1
            [entry_price] => 13.21
            [stop_loss] => 13.306
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-31 07:30:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 13.1
            [entry_price] => 13.21
            [stop_loss] => 13.314
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-31 07:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 13.1
            [entry_price] => 13.21
            [stop_loss] => 13.33
            [rr_ratio] => 0.92
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-31 07:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.11
            [max_drawdown] => 0.252
            [rr_ratio] => 0.44
            [high] => 13.46200000
            [low] => 13.10000000
            [mfe_pct] => 0.83
            [mae_pct] => 1.91
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 24
            [start_at] => 2025-03-31T06:53:51-04:00
            [end_at] => 2025-03-31T08:53:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.11
            [max_drawdown] => 0.483
            [rr_ratio] => 0.23
            [high] => 13.69300000
            [low] => 13.10000000
            [mfe_pct] => 0.83
            [mae_pct] => 3.66
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 72
            [start_at] => 2025-03-31T06:53:51-04:00
            [end_at] => 2025-03-31T12:53:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 13.35800000
            [high_after] => 13.69300000
            [low_before] => 12.95100000
            [low_after] => 13.10000000
            [is_new_high] => 
            [is_new_low] => 
        )

)