Trade

sell - 1000BONK

Status
win
2025-03-29 20:10:23
4 minutes
PNL
0.88
Entry: 0.01137
Last: 0.01130000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 60

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 4.63944E-5
Details
  1. score: 1.11
  2. long_trend_details: ema9 - 0.0112615
  3. long_trend_details: ema21 - 0.0114965
  4. long_trend_details: ema50 - 0.0120921
  5. long_trend_details: ema9_ema21_diff - -2.04418
  6. long_trend_details: ema21_ema50_diff - -4.92552
  7. long_trend_details: ema9_ema50_diff - -6.86902
  8. long_trend_details: price_ema21_diff - -1.06604
  9. long_trend_details: all_emas_in_trend - True
  10. long_trend_details: all_emas_and_price_in_trend - False
  11. ¸

Short Trade on 1000BONK

The 29 Mar 2025 at 20:10:23

With 1308 1000BONK at 0.01137$ per unit.

Take profit at 0.01127 (0.88 %) and Stop Loss at 0.01144 (0.62 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -1.85 %

Symbol Start at Seach Score Trade Score Trades Count
WIF 2025-03-29 20:10:23 0.9698 40 1
LINK 2025-03-29 20:10:23 0.9609 60 1
BGB 2025-03-28 14:14:56 0.9582 60 3
DOGE 2025-03-29 20:08:47 0.9572 -90 1
MOVE 2025-03-29 20:10:23 0.9565 90 1
MEW 2025-04-03 17:18:54 0.9523 -56.67 3
UNI 2025-04-09 01:40:28 0.9535 -100 2
HUMA 2025-05-30 09:35:06 0.9534 -100 1
SWARMS 2025-03-26 22:25:08 0.9534 80 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
20:10:23
29 Mar 2025
20:15:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01137 0.01144 0.01127 1.4 0.01503
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 0.01137
  • Stop Loss: 0.01144
  • Take Profit: 0.01127

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01144 - 0.01137 = 7.0000000000001E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01137 - 0.01127 = 9.9999999999999E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 9.9999999999999E-5 / 7.0000000000001E-5 = 1.4286

📌 Position Size

Amount Margin Quantity Leverage
1308 1308 115000 13.08
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 7.0000000000001E-5

Taille de position = 8 / 7.0000000000001E-5 = 114285.71

Taille de position USD = 114285.71 x 0.01137 = 1299.43

Donc, tu peux acheter 114285.71 avec un stoploss a 0.01144

Avec un position size USD de 1299.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 114285.71 x 7.0000000000001E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 114285.71 x 9.9999999999999E-5 = 11.43

Si Take Profit atteint, tu gagneras 11.43$

Résumé

  • Taille de position 114285.71
  • Taille de position USD 1299.43
  • Perte potentielle 8
  • Gain potentiel 11.43
  • Risk-Reward Ratio 1.4286

📌 Peformances

TP % Target TP $ Target
0.88 % 11 $
SL % Target SL $ Target
0.62 % 8 $
RR PNL PNL % Max Drawdown
1.4 11 $ 0.88 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01123
            [stop_loss] => 0.01144
            [rr_ratio] => 2
            [closed_at] => 2025-03-29 20:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.011195
            [stop_loss] => 0.01144
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-29 20:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01116
            [stop_loss] => 0.01144
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 20:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.011125
            [stop_loss] => 0.01144
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 22:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.01109
            [stop_loss] => 0.01144
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 22:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.011055
            [stop_loss] => 0.01144
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 22:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01102
            [stop_loss] => 0.01144
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 22:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)