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Trade

sell - 1000BONK

Status
loss
2025-05-13 03:27:21
32 minutes
PNL
-0.96
Entry: 0.02198
Last: 0.02219000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0
Prediction 1 Accuracy
Weak Trade
0.5
Prediction 2 Accuracy
1 0.44
ML Trade Score: -100
ML Pullback Score: 0.36

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0001382707858
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.0218021
  4. ema21 - 0.022212
  5. ema50 - 0.0223968
  6. ema100 - 0.0220763
  7. price_ema9_diff - 0.00815745
  8. ema9_ema21_diff - -0.018454
  9. ema21_ema50_diff - -0.00824921
  10. price_ema100_diff - -0.00436311
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.465628
  14. kc_percentage - 0.429545
  15. kc_width_percentage - 0.135068
    16. ¸
  16. 15m
  17. ema9 - 0.0216271
  18. ema21 - 0.0216282
  19. ema50 - 0.0219752
  20. ema100 - 0.0224344
  21. price_ema9_diff - 0.016317
  22. ema9_ema21_diff - -5.10271E-5
  23. ema21_ema50_diff - -0.0157901
  24. price_ema100_diff - -0.0202567
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.554275
  28. kc_percentage - 0.820099
  29. kc_width_percentage - 0.0512271
    30. ¸
  30. 5m
  31. ema9 - 0.0217759
  32. ema21 - 0.0216259
  33. ema50 - 0.0215762
  34. ema100 - 0.0217726
  35. price_ema9_diff - 0.00937165
  36. ema9_ema21_diff - 0.00693541
  37. ema21_ema50_diff - 0.00230312
  38. price_ema100_diff - 0.00952198
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.659392
  42. kc_percentage - 1.10644
  43. kc_width_percentage - 0.025958
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102443
  47. 5m_price_ema100_diff: 0.00298725
  48. 5m_price: 102749
  49. 5m_correlation_with_coin: 0.745727
  50. btc_indicators
  51. 15m_ema100: 102837
  52. 15m_price_ema100_diff: -0.000850322
  53. 15m_price: 102749
  54. btc_indicators
  55. 1H_ema100: 103272
  56. 1H_price_ema100_diff: -0.00506261
  57. 1H_price: 102749
    58. ¸

Short Trade on 1000BONK

The 13 May 2025 at 03:27:21

With 38571.6571 1000BONK at 0.02198$ per unit.

Position size of 847.805 $

Take profit at 0.02167 (1.41 %) and Stop Loss at 0.02219 (0.96 %)

That's a 1.48 RR Trade

📌 Similar Trades

Similar Trade Score: 18.89 %

Symbol Start at Seach Score Trade Score Trades Count
BB 2025-05-13 03:31:57 0.9068 -100 2
BNB 2025-05-13 03:23:22 0.9079 30 2
LPT 2025-06-02 04:07:00 0.9089 40 1
ADA 2025-05-13 03:19:53 0.9084 40 1
FIL 2025-05-13 03:20:52 0.9076 30 1
AVAX 2025-05-13 03:21:04 0.9061 30 1
GALA 2025-05-13 03:21:13 0.9047 40 1
APT 2025-05-13 03:21:42 0.9001 30 1
STX 2025-05-13 03:21:58 0.8962 30 1

📌 Time Data

Start at Closed at Duration
13 May 2025
03:27:21		 13 May 2025
04:00:00		 32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02198 0.02219 0.02167 1.48 0.03492
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 0.02198
  • Stop Loss: 0.02219
  • Take Profit: 0.02167

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02219 - 0.02198 = 0.00021

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02198 - 0.02167 = 0.00031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00031 / 0.00021 = 1.4762

📌 Position Size

Amount Margin Quantity Leverage
847.805 100 38571.6571 8.48
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 0.02198 = 837.33

Donc, tu peux acheter 38095.24 avec un stoploss a 0.02219

Avec un position size USD de 837.33$

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 0.00031 = 11.81

Si Take Profit atteint, tu gagneras 11.81$

Résumé

  • Taille de position 38095.24
  • Taille de position USD 837.33
  • Perte potentielle 8
  • Gain potentiel 11.81
  • Risk-Reward Ratio 1.4762

📌 Peformances

TP % Target TP $ Target
1.41 % 11.96 $
SL % Target SL $ Target
0.96 % 8.1 $
PNL PNL %
-8.1 $ -0.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2329390354868 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02167
            [entry_price] => 0.02198
            [stop_loss] => 0.022211
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-13 04:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02167
            [entry_price] => 0.02198
            [stop_loss] => 0.022232
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-13 04:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02167
            [entry_price] => 0.02198
            [stop_loss] => 0.022253
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-13 04:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02167
            [entry_price] => 0.02198
            [stop_loss] => 0.022295
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-13 05:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000178
            [max_drawdown] => 0.000558
            [rr_ratio] => 0.32
            [high] => 0.02253800
            [low] => 0.02180200
            [mfe_pct] => 0.81
            [mae_pct] => 2.54
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-05-13T03:27:21-04:00
            [end_at] => 2025-05-13T05:27:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000178
            [max_drawdown] => 0.000991
            [rr_ratio] => 0.18
            [high] => 0.02297100
            [low] => 0.02180200
            [mfe_pct] => 0.81
            [mae_pct] => 4.51
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 72
            [start_at] => 2025-05-13T03:27:21-04:00
            [end_at] => 2025-05-13T09:27:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02208900
            [high_after] => 0.02297100
            [low_before] => 0.02083800
            [low_after] => 0.02180200
            [is_new_high] => 
            [is_new_low] => 
        )

)