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Short Trade on 1000BONK

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Short Trade on 1000BONK 04 May 2025 at 10:31:03

Take profit at 0.01618 (0.98 %) and Stop Loss at 0.01645 (0.67 %)

Short Trade on 1000BONK

The 04 May 2025 at 10:31:03

With 74707.6817 1000BONK at 0.01634$ per unit.

Position size of 1220.7982 $

Take profit at 0.01618 (0.98 %) and Stop Loss at 0.01645 (0.67 %)

That's a 1.45 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 110
ML Pullback Score: 6.78
Prediction Score: 2.2141
Prediction 1 Probability
Strong Trade
n/a
Prediction 2 Probability
0 n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 7.138935669E-5
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.0162253
  4. ema21 : 0.0164989
  5. ema50 : 0.017181
  6. price_ema9_diff : 0.00700846
  7. ema9_ema21_diff : -0.016583
  8. ema21_ema50_diff : -0.0396989
  9. all_emas_in_trend : True
  10. all_emas_and_price_in_trend : False
  11. rsi : 0.403281
  12. kc_percentage : 0.37331
  13. kc_width_percentage : 0.0637407
    14. ¸
  14. 15m
  15. ema9 : 0.0161857
  16. ema21 : 0.0161695
  17. ema50 : 0.0162928
  18. price_ema9_diff : 0.00959868
  19. ema9_ema21_diff : 0.001004
  20. ema21_ema50_diff : -0.00756713
  21. all_emas_in_trend : False
  22. all_emas_and_price_in_trend : False
  23. rsi : 0.596881
  24. kc_percentage : 0.855815
  25. kc_width_percentage : 0.0297844
    26. ¸
  26. 5m
  27. ema9 : 0.0162298
  28. ema21 : 0.0161604
  29. ema50 : 0.0161387
  30. price_ema9_diff : 0.00687504
  31. ema9_ema21_diff : 0.00429593
  32. ema21_ema50_diff : 0.00134719
  33. all_emas_in_trend : True
  34. all_emas_and_price_in_trend : True
  35. rsi : 0.661259
  36. kc_percentage : 1.10966
  37. kc_width_percentage : 0.0178126
    38. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 May 2025
10:31:03		 04 May 2025
11:30:00		 58 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01634 0.01645 0.01618 1.45 0.00578
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 0.01634
  • Stop Loss: 0.01645
  • Take Profit: 0.01618

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01645 - 0.01634 = 0.00011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01634 - 0.01618 = 0.00016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00016 / 0.00011 = 1.4545

📌 Position Size

Amount Margin Quantity Leverage
1220.7982 100 74707.6817 12.21
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 0.00011

Taille de position = 8 / 0.00011 = 72727.27

Taille de position USD = 72727.27 x 0.01634 = 1188.36

Donc, tu peux acheter 72727.27 avec un stoploss a 0.01645

Avec un position size USD de 1188.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 72727.27 x 0.00011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 72727.27 x 0.00016 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

  • Taille de position 72727.27
  • Taille de position USD 1188.36
  • Perte potentielle 8
  • Gain potentiel 11.64
  • Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target TP $ Target
0.98 % 11.95 $
SL % Target SL $ Target
0.67 % 8.22 $
PNL PNL %
11.95 $ 0.98
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.53243574051408 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01612
            [stop_loss] => 0.01645
            [rr_ratio] => 2
            [closed_at] => 2025-05-04 11:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.016065
            [stop_loss] => 0.01645
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-04 11:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01601
            [stop_loss] => 0.01645
            [rr_ratio] => 3
            [closed_at] => 2025-05-04 13:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.015955
            [stop_loss] => 0.01645
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-04 13:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0159
            [stop_loss] => 0.01645
            [rr_ratio] => 4
            [closed_at] => 2025-05-04 13:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.015845
            [stop_loss] => 0.01645
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-04 13:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.01579
            [stop_loss] => 0.01645
            [rr_ratio] => 5
            [closed_at] => 2025-05-04 13:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.015735
            [stop_loss] => 0.01645
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-04 15:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.01568
            [stop_loss] => 0.01645
            [rr_ratio] => 6
            [closed_at] => 2025-05-04 16:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.015625
            [stop_loss] => 0.01645
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-04 16:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01557
            [stop_loss] => 0.01645
            [rr_ratio] => 7
            [closed_at] => 2025-05-04 16:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000294
            [max_drawdown] => 8.7E-5
            [rr_ratio] => 3.38
            [high] => 0.01642700
            [low] => 0.01604600
            [mfe_pct] => 1.8
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 3.38
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T10:31:03-04:00
            [end_at] => 2025-05-04T12:31:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000613
            [max_drawdown] => 0.000177
            [rr_ratio] => 3.46
            [high] => 0.01651700
            [low] => 0.01572700
            [mfe_pct] => 3.75
            [mae_pct] => 1.08
            [mfe_mae_ratio] => 3.46
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T10:31:03-04:00
            [end_at] => 2025-05-04T16:31:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01638500
            [high_after] => 0.01651700
            [low_before] => 0.01586800
            [low_after] => 0.01572700
            [is_new_high] => 
            [is_new_low] => 1
        )

)