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Trade

sell - 1000BONK

Status
loss
2025-05-13 03:47:20
1 hour
PNL
-0.95
Entry: 0.02207
Last: 0.02228000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.59
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.42

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0001405906023
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 0.0218177
  4. ema21 - 0.0221942
  5. ema50 - 0.0223753
  6. ema100 - 0.0220762
  7. price_ema9_diff - 0.0116057
  8. ema9_ema21_diff - -0.0169626
  9. ema21_ema50_diff - -0.00809409
  10. price_ema100_diff - -0.000239879
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.48178
  14. kc_percentage - 0.466805
  15. kc_width_percentage - 0.138681
    16. ¸
  16. 15m
  17. ema9 - 0.021765
  18. ema21 - 0.0216907
  19. ema50 - 0.0220073
  20. ema100 - 0.022569
  21. price_ema9_diff - 0.0140576
  22. ema9_ema21_diff - 0.0034247
  23. ema21_ema50_diff - -0.0143882
  24. price_ema100_diff - -0.0220662
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.590479
  28. kc_percentage - 0.848962
  29. kc_width_percentage - 0.0499894
    30. ¸
  30. 5m
  31. ema9 - 0.0219288
  32. ema21 - 0.0217547
  33. ema50 - 0.0216415
  34. ema100 - 0.021779
  35. price_ema9_diff - 0.00648184
  36. ema9_ema21_diff - 0.0080031
  37. ema21_ema50_diff - 0.00522954
  38. price_ema100_diff - 0.0134052
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.656775
  42. kc_percentage - 1.03243
  43. kc_width_percentage - 0.0260023
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102460
  47. 5m_price_ema100_diff: 0.00142214
  48. 5m_price: 102606
  49. 5m_correlation_with_coin: 0.732562
  50. btc_indicators
  51. 15m_ema100: 102828
  52. 15m_price_ema100_diff: -0.00215923
  53. 15m_price: 102606
  54. btc_indicators
  55. 1H_ema100: 103269
  56. 1H_price_ema100_diff: -0.00642195
  57. 1H_price: 102606
    58. ¸

Short Trade on 1000BONK

The 13 May 2025 at 03:47:20

With 37935.2051 1000BONK at 0.02207$ per unit.

Position size of 837.2679 $

Take profit at 0.02175 (1.45 %) and Stop Loss at 0.02228 (0.95 %)

That's a 1.52 RR Trade

📌 Similar Trades

Similar Trade Score: -28.54 %

Symbol Start at Seach Score Trade Score Trades Count
SWELL 2025-08-05 16:52:00 0.9004 55 2
LPT 2025-06-02 04:07:00 0.8908 40 1
TAIKO 2025-06-14 03:48:53 0.8819 30 2
SKL 2025-08-16 07:35:22 0.8789 46.67 3
CHILLGUY 2025-05-07 05:31:34 0.877 -100 1
POPCAT 2025-05-31 02:21:18 0.8764 -100 1
ASR 2025-08-02 07:36:44 0.872 -100 1
SIGN 2025-05-06 09:50:15 0.8714 -100 1

📌 Time Data

Start at Closed at Duration
13 May 2025
03:47:20		 13 May 2025
05:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02207 0.02228 0.02175 1.52 0.02251
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 0.02207
  • Stop Loss: 0.02228
  • Take Profit: 0.02175

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02228 - 0.02207 = 0.00021

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02207 - 0.02175 = 0.00032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00032 / 0.00021 = 1.5238

📌 Position Size

Amount Margin Quantity Leverage
837.2679 100 37935.2051 8.37
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 0.00021

Taille de position = 8 / 0.00021 = 38095.24

Taille de position USD = 38095.24 x 0.02207 = 840.76

Donc, tu peux acheter 38095.24 avec un stoploss a 0.02228

Avec un position size USD de 840.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 38095.24 x 0.00021 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 38095.24 x 0.00032 = 12.19

Si Take Profit atteint, tu gagneras 12.19$

Résumé

  • Taille de position 38095.24
  • Taille de position USD 840.76
  • Perte potentielle 8
  • Gain potentiel 12.19
  • Risk-Reward Ratio 1.5238

📌 Peformances

TP % Target TP $ Target
1.45 % 12.14 $
SL % Target SL $ Target
0.95 % 7.97 $
PNL PNL %
-7.97 $ -0.95
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.857725419121 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02175
            [entry_price] => 0.02207
            [stop_loss] => 0.022301
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-13 05:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02175
            [entry_price] => 0.02207
            [stop_loss] => 0.022322
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-13 05:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02175
            [entry_price] => 0.02207
            [stop_loss] => 0.022343
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-13 05:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02175
            [entry_price] => 0.02207
            [stop_loss] => 0.022385
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-13 05:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000268
            [max_drawdown] => 0.000901
            [rr_ratio] => 0.3
            [high] => 0.02297100
            [low] => 0.02180200
            [mfe_pct] => 1.21
            [mae_pct] => 4.08
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-05-13T03:47:20-04:00
            [end_at] => 2025-05-13T05:47:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000268
            [max_drawdown] => 0.000901
            [rr_ratio] => 0.3
            [high] => 0.02297100
            [low] => 0.02180200
            [mfe_pct] => 1.21
            [mae_pct] => 4.08
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 72
            [start_at] => 2025-05-13T03:47:20-04:00
            [end_at] => 2025-05-13T09:47:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02218100
            [high_after] => 0.02297100
            [low_before] => 0.02083800
            [low_after] => 0.02180200
            [is_new_high] => 
            [is_new_low] => 
        )

)