Trade

sell - FIL

Status
loss
2025-03-28 18:14:43
2 hours
PNL
-0.47
Entry: 2.83
Last: 2.84320000

Results

Status:
loss
Trade Type:
sell
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 4.27

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0087922327565864
Details
  1. score: 1.03

Short Trade on FIL

The 28 Mar 2025 at 18:14:43

With 606.596 FIL at 2.83$ per unit.

Position size of 1716.6667 $

Take profit at 2.8102 (0.7 %) and Stop Loss at 2.8432 (0.47 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -1.92 %

Symbol Start at Seach Score Trade Score Trades Count
REZ 2025-07-29 00:13:55 0.9622 40 1
ZK 2025-07-29 00:14:13 0.9592 30 1
FUN 2025-08-05 14:24:09 0.9578 40 1
DYDX 2025-07-29 00:08:59 0.9576 30 1
ETHFI 2025-07-29 00:13:12 0.9561 30 1
TRUMP 2025-06-30 12:11:40 0.9547 40 1
SKL 2025-07-29 00:06:28 0.9537 -35 2
JOE 2025-07-29 00:11:08 0.954 30 1
MANTA 2025-07-29 00:12:32 0.9535 30 1
AVAX 2025-03-28 18:14:43 0.9531 -100 1
AIXBT 2025-04-02 11:42:31 0.9525 -90 1
WLD 2025-05-05 21:24:53 0.952 30 1
ANIME 2025-06-11 03:28:49 0.9519 -100 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
18:14:43
28 Mar 2025
20:15:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.83 2.8432 2.8102 1.5 2.433
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 2.83
  • Stop Loss: 2.8432
  • Take Profit: 2.8102

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.8432 - 2.83 = 0.0132

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.83 - 2.8102 = 0.0198

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0198 / 0.0132 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1716.6667 1716.6667 606.596 17.17
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 0.0132

Taille de position = 8 / 0.0132 = 606.06

Taille de position USD = 606.06 x 2.83 = 1715.15

Donc, tu peux acheter 606.06 avec un stoploss a 2.8432

Avec un position size USD de 1715.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 606.06 x 0.0132 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 606.06 x 0.0198 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 606.06
  • Taille de position USD 1715.15
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.7 % 12.01 $
SL % Target SL $ Target
0.47 % 8.01 $
PNL PNL %
-8.01 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.81
            [entry_price] => 2.83
            [stop_loss] => 2.8443
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-28 20:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.81
            [entry_price] => 2.83
            [stop_loss] => 2.8456
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-28 20:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.81
            [entry_price] => 2.83
            [stop_loss] => 2.8469
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-28 20:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.81
            [entry_price] => 2.83
            [stop_loss] => 2.8495
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-28 20:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.012
            [rr_ratio] => 1.08
            [high] => 2.84200000
            [low] => 2.81700000
            [mfe_pct] => 0.46
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 1.08
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T18:14:43-04:00
            [end_at] => 2025-03-28T20:14:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.054
            [max_drawdown] => 0.023
            [rr_ratio] => 2.35
            [high] => 2.85300000
            [low] => 2.77600000
            [mfe_pct] => 1.91
            [mae_pct] => 0.81
            [mfe_mae_ratio] => 2.35
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T18:14:43-04:00
            [end_at] => 2025-03-29T00:14:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.83400000
            [high_after] => 2.85300000
            [low_before] => 2.77900000
            [low_after] => 2.77600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)