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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
ML Pullback Score: 1.83

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
  3. ema9 - 0.0112615
  4. ema21 - 0.0114965
  5. ema50 - 0.0120921
  6. ema9_ema21_diff - -2.04418
  7. ema21_ema50_diff - -4.92552
  8. ema9_ema50_diff - -6.86902
  9. price_ema21_diff - -1.06604
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Short Trade on 1000BONK

The 29 Mar 2025 at 20:10:23

With 114956.4028 1000BONK at 0.01137$ per unit.

Position size of 1307.5141 $

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

That's a 1.43 RR Trade

📌 Similar Trades

Similar Trade Score: -17.5 %

Symbol Start at Seach Score Trade Score Trades Count
WIF 2025-03-29 20:10:23 0.97 40 1
LINK 2025-03-29 20:10:23 0.9607 60 1
BGB 2025-03-28 14:14:56 0.9581 60 3
DOGE 2025-03-29 20:08:47 0.9573 -90 1
MEW 2025-04-03 17:31:57 0.956 -100 1
MOVE 2025-03-29 20:10:23 0.9558 90 1
SYRUP 2025-06-21 00:41:32 0.9549 50 1
UNI 2025-04-09 01:30:28 0.9544 -100 1
LQTY 2025-06-28 20:05:02 0.9541 -100 1
HUMA 2025-05-30 09:35:06 0.9532 -100 1
SWARMS 2025-03-26 22:25:08 0.9531 80 1
HFT 2025-07-05 02:11:28 0.9528 -100 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 1.43 0.03338
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
1307.5141 1307.5141 114956.4028 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 % 11.5 $
SL % Target SL $ Target
0.62 % 8.05 $
PNL PNL %
11.47 $ 0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 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
        )

    [5.5] => Array
        (
            [take_profit] => 0.010985
            [stop_loss] => 0.01144
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-29 22:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01095
            [stop_loss] => 0.01144
            [rr_ratio] => 6
            [closed_at] => 2025-03-29 22:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.010915
            [stop_loss] => 0.01144
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-29 22:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01088
            [stop_loss] => 0.01144
            [rr_ratio] => 7
            [closed_at] => 2025-03-29 22:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000217
            [max_drawdown] => 0.000136
            [rr_ratio] => 1.6
            [high] => 0.01150600
            [low] => 0.01115300
            [mfe_pct] => 1.91
            [mae_pct] => 1.2
            [mfe_mae_ratio] => 1.6
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T20:10:23-04:00
            [end_at] => 2025-03-29T22:10:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000217
            [max_drawdown] => 0.000239
            [rr_ratio] => 0.91
            [high] => 0.01160900
            [low] => 0.01115300
            [mfe_pct] => 1.91
            [mae_pct] => 2.1
            [mfe_mae_ratio] => 0.91
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T20:10:23-04:00
            [end_at] => 2025-03-30T02:10:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01147400
            [high_after] => 0.01160900
            [low_before] => 0.01104000
            [low_after] => 0.01115300
            [is_new_high] => 
            [is_new_low] => 
        )

)