Trade

buy - BNB

Status
loss
2025-04-01 07:03:32
1 minute
PNL
-0.28
Entry: 609.22
Last: 607.53690000

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: 2.82

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.33
  4. atr: 1.12208
Details
  1. score: 2.33
  2. long_trend_details
  3. ema9 - 610.593
  4. ema21 - 607.712
  5. ema50 - 606.002
  6. ema9_ema21_diff - 0.474186
  7. ema21_ema50_diff - 0.282127
  8. ema9_ema50_diff - 0.757651
  9. price_ema21_diff - 0.248126
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
  12. ¸

Long Trade on BNB

The 01 Apr 2025 at 07:03:32

With 4.7531 BNB at 609.22$ per unit.

Position size of 2895.6699 $

Take profit at 611.7447 (0.41 %) and Stop Loss at 607.5369 (0.28 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -0.45 %

Symbol Start at Seach Score Trade Score Trades Count
UNI 2025-04-01 07:13:27 0.9505 -100 1
ADA 2025-07-09 10:43:00 0.9485 40 1
LINK 2025-07-10 20:30:15 0.9482 50 1
DOT 2025-07-09 10:38:45 0.9456 -35 2
SWELL 2025-03-26 12:15:15 0.9452 -100 1
XRP 2025-07-09 10:02:47 0.9436 30 1
APT 2025-07-10 20:24:59 0.943 50 1
FET 2025-07-10 20:27:00 0.9426 30 1
DOGE 2025-04-01 07:13:27 0.9417 -70 1
ENS 2025-07-09 10:36:27 0.9409 30 1
TRB 2025-07-10 20:25:47 0.9402 70 1

📌 Time Data

Start at Closed at Duration
01 Apr 2025
07:03:32
01 Apr 2025
07:05:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
609.22 607.5369 611.7447 1.5 781.76
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 609.22
  • Stop Loss: 607.5369
  • Take Profit: 611.7447

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 607.5369 - 609.22 = -1.6831000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 609.22 - 611.7447 = -2.5246999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.5246999999999 / -1.6831000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2895.6699 2895.6699 4.7531 28.96
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 -1.6831000000001

Taille de position = 8 / -1.6831000000001 = -4.75

Taille de position USD = -4.75 x 609.22 = -2893.8

Donc, tu peux acheter -4.75 avec un stoploss a 607.5369

Avec un position size USD de -2893.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4.75 x -1.6831000000001 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4.75 x -2.5246999999999 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position -4.75
  • Taille de position USD -2893.8
  • Perte potentielle 7.99
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.41 % 12 $
SL % Target SL $ Target
0.28 % 8 $
PNL PNL %
-8 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5104888217721 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 611.7
            [entry_price] => 609.2
            [stop_loss] => 607.33
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-01 07:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 611.7
            [entry_price] => 609.2
            [stop_loss] => 607.16
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-01 07:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 611.7
            [entry_price] => 609.2
            [stop_loss] => 606.99
            [rr_ratio] => 1.13
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-01 07:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 611.7
            [entry_price] => 609.2
            [stop_loss] => 606.65
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-01 07:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 6.23
            [max_drawdown] => 3.11
            [rr_ratio] => 2
            [high] => 615.45000000
            [low] => 606.11000000
            [mfe_pct] => 1.02
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 24
            [start_at] => 2025-04-01T07:03:32-04:00
            [end_at] => 2025-04-01T09:03:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 6.3099999999999
            [max_drawdown] => 3.11
            [rr_ratio] => 2.03
            [high] => 615.53000000
            [low] => 606.11000000
            [mfe_pct] => 1.04
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 2.03
            [candles_analyzed] => 72
            [start_at] => 2025-04-01T07:03:32-04:00
            [end_at] => 2025-04-01T13:03:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 618.25000000
            [high_after] => 615.53000000
            [low_before] => 607.73000000
            [low_after] => 606.11000000
            [is_new_high] => 
            [is_new_low] => 
        )

)