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Trade

sell - TIA

Status
win
2025-03-28 20:24:55
15 minutes
PNL
0.75
Entry: 3.4661
Last: 3.44010000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: 140
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.011545481668263
Details
  1. score: 1.18

Short Trade on TIA

The 28 Mar 2025 at 20:24:55

With 461.9412 TIA at 3.4661$ per unit.

Position size of 1601.1343 $

Take profit at 3.4401 (0.75 %) and Stop Loss at 3.4834 (0.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -25 %

Symbol Start at Seach Score Trade Score Trades Count
BID 2025-07-21 20:25:09 0.9738 95 2
BTC 2025-07-25 06:48:03 0.974 -100 2
NXPC 2025-05-28 20:54:38 0.9696 -35 4
CETUS 2025-05-26 17:14:20 0.9692 -100 2
HBAR 2025-05-26 20:16:45 0.9678 35 2
BGSC 2025-07-02 05:08:43 0.9681 -100 1
APE 2025-06-06 21:02:09 0.9672 30 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
20:24:55		 28 Mar 2025
20:40:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.4661 3.4834 3.4401 1.5 1.9601
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 3.4661
  • Stop Loss: 3.4834
  • Take Profit: 3.4401

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.4834 - 3.4661 = 0.0173

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.4661 - 3.4401 = 0.026

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.026 / 0.0173 = 1.5029

📌 Position Size

Amount Margin Quantity Leverage
1601.1343 1601.1343 461.9412 16.01
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 0.0173

Taille de position = 8 / 0.0173 = 462.43

Taille de position USD = 462.43 x 3.4661 = 1602.83

Donc, tu peux acheter 462.43 avec un stoploss a 3.4834

Avec un position size USD de 1602.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 462.43 x 0.0173 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 462.43 x 0.026 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position 462.43
  • Taille de position USD 1602.83
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5029

📌 Peformances

TP % Target TP $ Target
0.75 % 12.01 $
SL % Target SL $ Target
0.5 % 7.99 $
PNL PNL %
12.01 $ 0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.432
            [stop_loss] => 3.483
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 20:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.4235
            [stop_loss] => 3.483
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 21:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.415
            [stop_loss] => 3.483
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 21:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.4065
            [stop_loss] => 3.483
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 22:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.398
            [stop_loss] => 3.483
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 23:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.3895
            [stop_loss] => 3.483
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 23:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.381
            [stop_loss] => 3.483
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 23:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.3725
            [stop_loss] => 3.483
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-28 23:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 3.364
            [stop_loss] => 3.483
            [rr_ratio] => 6
            [closed_at] => 2025-03-29 01:25:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 3.3555
            [stop_loss] => 3.483
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-29 02:05:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 3.347
            [stop_loss] => 3.483
            [rr_ratio] => 7
            [closed_at] => 2025-03-29 02:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.053
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 3.45960000
            [low] => 3.41310000
            [mfe_pct] => 1.53
            [mae_pct] => -0.19
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T20:24:55-04:00
            [end_at] => 2025-03-28T22:24:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1686
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 3.45960000
            [low] => 3.29750000
            [mfe_pct] => 4.86
            [mae_pct] => -0.19
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T20:24:55-04:00
            [end_at] => 2025-03-29T02:24:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.47260000
            [high_after] => 3.45960000
            [low_before] => 3.39060000
            [low_after] => 3.29750000
            [is_new_high] => 
            [is_new_low] => 1
        )

)