Trade

buy - BCH

Status
loss
2025-03-26 08:34:31
50 minutes
PNL
-0.27
Entry: 336.17
Last: 335.27780000

Results

Status:
loss
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: -100
ML Pullback Score: 0.25

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.5948169373101
Details
  1. score: 2.01

Long Trade on BCH

The 26 Mar 2025 at 08:34:31

With 8.9663 BCH at 336.17$ per unit.

Position size of 3014.2159 $

Take profit at 337.5083 (0.4 %) and Stop Loss at 335.2778 (0.27 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -50.91 %

Symbol Start at Seach Score Trade Score Trades Count
SYRUP 2025-06-17 04:18:49 0.8328 30 1
UNI 2025-03-26 08:34:31 0.8042 30 1
UNI 2025-04-14 01:44:53 0.789 -100 2
NEAR 2025-04-28 20:04:20 0.7788 -100 2
APT 2025-06-07 21:08:03 0.7846 50 1
TRB 2025-06-29 07:56:07 0.7773 -100 1
ARB 2025-06-11 14:17:17 0.7742 -100 1
WLD 2025-06-11 14:12:01 0.7723 -100 1
GIGA 2025-07-14 03:29:18 0.7696 30 1
RVN 2025-06-16 16:22:16 0.7693 -100 2
TIA 2025-06-11 14:18:07 0.7661 -100 1

📌 Time Data

Start at Closed at Duration
26 Mar 2025
08:34:31
26 Mar 2025
09:25:00
50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
336.17 335.2778 337.5083 1.5 511.42
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 336.17
  • Stop Loss: 335.2778
  • Take Profit: 337.5083

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 335.2778 - 336.17 = -0.8922

  • Récompense (distance jusqu'au take profit):

    E - TP = 336.17 - 337.5083 = -1.3383

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.3383 / -0.8922 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3014.2159 3014.2159 8.9663 30.14
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 -0.8922

Taille de position = 8 / -0.8922 = -8.97

Taille de position USD = -8.97 x 336.17 = -3015.44

Donc, tu peux acheter -8.97 avec un stoploss a 335.2778

Avec un position size USD de -3015.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8.97 x -0.8922 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8.97 x -1.3383 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -8.97
  • Taille de position USD -3015.44
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.4 % 12 $
SL % Target SL $ Target
0.27 % 8 $
PNL PNL %
-8 $ -0.27
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] => 337.5
            [entry_price] => 336.2
            [stop_loss] => 335.21
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-26 09:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 337.5
            [entry_price] => 336.2
            [stop_loss] => 335.12
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 337.5
            [entry_price] => 336.2
            [stop_loss] => 335.03
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 337.5
            [entry_price] => 336.2
            [stop_loss] => 334.85
            [rr_ratio] => 0.96
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-26 09:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.29
            [max_drawdown] => 7.09
            [rr_ratio] => 0.18
            [high] => 337.46000000
            [low] => 329.08000000
            [mfe_pct] => 0.38
            [mae_pct] => 2.11
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 24
            [start_at] => 2025-03-26T08:34:31-04:00
            [end_at] => 2025-03-26T10:34:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.43
            [max_drawdown] => 8.02
            [rr_ratio] => 0.18
            [high] => 337.60000000
            [low] => 328.15000000
            [mfe_pct] => 0.43
            [mae_pct] => 2.39
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 72
            [start_at] => 2025-03-26T08:34:31-04:00
            [end_at] => 2025-03-26T14:34:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 339.46000000
            [high_after] => 337.60000000
            [low_before] => 336.10000000
            [low_after] => 328.15000000
            [is_new_high] => 
            [is_new_low] => 
        )

)