Trade

sell - CRV

Status
win
2025-03-29 10:23:48
1 minute
PNL
1.06
Entry: 0.4918
Last: 0.48660000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 100
ML Pullback Score: 6

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.00229434
Details
  1. score: 1.11
  2. long_trend_details
  3. ema9 - 0.484468
  4. ema21 - 0.4956
  5. ema50 - 0.516817
  6. ema9_ema21_diff - -2.24611
  7. ema21_ema50_diff - -4.10534
  8. ema9_ema50_diff - -6.25924
  9. price_ema21_diff - -0.766795
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
  12. ¸

Short Trade on CRV

The 29 Mar 2025 at 10:23:48

With 2324.561 CRV at 0.4918$ per unit.

Position size of 1143.2191 $

Take profit at 0.4866 (1.06 %) and Stop Loss at 0.4952 (0.69 %)

That's a 1.53 RR Trade

📌 Similar Trades

Similar Trade Score: 4 %

Symbol Start at Seach Score Trade Score Trades Count
ATH 2025-06-26 16:38:38 0.9593 30 1
ORDI 2025-06-26 16:26:06 0.9551 -100 1
BERA 2025-03-29 10:03:54 0.9546 100 1
STX 2025-06-26 16:39:53 0.9476 -35 2
JUP 2025-06-26 16:45:31 0.9488 40 1
MOCA 2025-06-26 16:39:28 0.9479 40 1
SHIB 2025-06-26 16:38:33 0.9444 -25 2
1000BONK 2025-06-26 16:36:27 0.9445 -100 1
BB 2025-06-26 16:54:16 0.9443 40 1
XLM 2025-06-26 16:33:41 0.9436 50 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
10:23:48
29 Mar 2025
10:25:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4918 0.4952 0.4866 1.53 0.9649
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 0.4918
  • Stop Loss: 0.4952
  • Take Profit: 0.4866

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4952 - 0.4918 = 0.0034

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4918 - 0.4866 = 0.0052

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0052 / 0.0034 = 1.5294

📌 Position Size

Amount Margin Quantity Leverage
1143.2191 1143.2191 2324.561 11.43
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 0.0034

Taille de position = 8 / 0.0034 = 2352.94

Taille de position USD = 2352.94 x 0.4918 = 1157.18

Donc, tu peux acheter 2352.94 avec un stoploss a 0.4952

Avec un position size USD de 1157.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2352.94 x 0.0034 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2352.94 x 0.0052 = 12.24

Si Take Profit atteint, tu gagneras 12.24$

Résumé

  • Taille de position 2352.94
  • Taille de position USD 1157.18
  • Perte potentielle 8
  • Gain potentiel 12.24
  • Risk-Reward Ratio 1.5294

📌 Peformances

TP % Target TP $ Target
1.06 % 12.09 $
SL % Target SL $ Target
0.69 % 7.9 $
PNL PNL %
12.09 $ 1.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.485
            [stop_loss] => 0.4952
            [rr_ratio] => 2
            [closed_at] => 2025-03-29 10:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.4833
            [stop_loss] => 0.4952
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-29 10:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.4816
            [stop_loss] => 0.4952
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 12:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.4799
            [stop_loss] => 0.4952
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 12:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.4782
            [stop_loss] => 0.4952
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 12:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.4765
            [stop_loss] => 0.4952
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 12:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.4748
            [stop_loss] => 0.4952
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 12:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0147
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.48920000
            [low] => 0.47710000
            [mfe_pct] => 2.99
            [mae_pct] => -0.53
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T10:23:48-04:00
            [end_at] => 2025-03-29T12:23:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0181
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.48920000
            [low] => 0.47370000
            [mfe_pct] => 3.68
            [mae_pct] => -0.53
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T10:23:48-04:00
            [end_at] => 2025-03-29T16:23:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.49370000
            [high_after] => 0.48920000
            [low_before] => 0.47030000
            [low_after] => 0.47370000
            [is_new_high] => 
            [is_new_low] => 
        )

)