Trade

sell - 1000BONK

Status
win
2025-05-26 23:14:55
1 hour
PNL
0.89
Entry: 0.02018
Last: 0.02000000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2005
Prediction 1 Accuracy
Weak Trade
0.7
Prediction 2 Accuracy
0 0.58
ML Trade Score: 40
ML Pullback Score: 2.19

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 7.993963309E-5
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 0.020112
  4. ema21 - 0.0202942
  5. ema50 - 0.0205857
  6. ema100 - 0.0211322
  7. price_ema9_diff - 0.00338041
  8. ema9_ema21_diff - -0.00898024
  9. ema21_ema50_diff - -0.0141599
  10. price_ema100_diff - -0.0450628
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.468109
  14. kc_percentage - 0.430718
  15. kc_width_percentage - 0.0738035
  16. ¸
  17. 15m
  18. ema9 - 0.0200081
  19. ema21 - 0.020026
  20. ema50 - 0.0201766
  21. ema100 - 0.0204254
  22. price_ema9_diff - 0.008588
  23. ema9_ema21_diff - -0.000893892
  24. ema21_ema50_diff - -0.00746329
  25. price_ema100_diff - -0.0120185
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.551747
  29. kc_percentage - 0.743128
  30. kc_width_percentage - 0.0320649
  31. ¸
  32. 5m
  33. ema9 - 0.020061
  34. ema21 - 0.0200035
  35. ema50 - 0.0200001
  36. ema100 - 0.0200172
  37. price_ema9_diff - 0.00592924
  38. ema9_ema21_diff - 0.00287708
  39. ema21_ema50_diff - 0.000165856
  40. price_ema100_diff - 0.00813026
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.649468
  44. kc_percentage - 1.02899
  45. kc_width_percentage - 0.0163032
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 108898
  50. 5m_price_ema100_diff: -0.000222288
  51. 5m_price: 108874
  52. 5m_correlation_with_coin: 0.718497
  53. btc_indicators
  54. 15m_ema100: 109285
  55. 15m_price_ema100_diff: -0.00376345
  56. 15m_price: 108874
  57. btc_indicators
  58. 1H_ema100: 109169
  59. 1H_price_ema100_diff: -0.00270572
  60. 1H_price: 108874
  61. ¸

Short Trade on 1000BONK

The 26 May 2025 at 23:14:55

With 66717.0104 1000BONK at 0.02018$ per unit.

Position size of 1346.3493 $

Take profit at 0.02 (0.89 %) and Stop Loss at 0.0203 (0.59 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -26.11 %

Symbol Start at Seach Score Trade Score Trades Count
IO 2025-05-26 23:17:45 0.9639 35 2
AI16Z 2025-05-26 23:08:35 0.9619 -100 1
AVAX 2025-05-26 23:16:32 0.9457 -100 2
HBAR 2025-05-26 23:19:09 0.9483 40 1
ARB 2025-05-26 23:17:00 0.942 30 2
ONDO 2025-05-26 23:17:33 0.9372 30 2
DOT 2025-04-27 10:40:24 0.9307 30 1
KAS 2025-04-26 18:12:01 0.9279 -100 1
SOL 2025-05-24 05:22:51 0.9259 -100 1

📌 Time Data

Start at Closed at Duration
26 May 2025
23:14:55
27 May 2025
01:10:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02018 0.0203 0.02 1.5 0.03425
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 0.02018
  • Stop Loss: 0.0203
  • Take Profit: 0.02

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0203 - 0.02018 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02018 - 0.02 = 0.00018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00018 / 0.00012 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1346.3493 100 66717.0104 13.46
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 0.00012

Taille de position = 8 / 0.00012 = 66666.67

Taille de position USD = 66666.67 x 0.02018 = 1345.33

Donc, tu peux acheter 66666.67 avec un stoploss a 0.0203

Avec un position size USD de 1345.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 66666.67 x 0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 66666.67 x 0.00018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 66666.67
  • Taille de position USD 1345.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.89 % 12.01 $
SL % Target SL $ Target
0.59 % 8.01 $
PNL PNL %
12.01 $ 0.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.41129831516353 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01994
            [stop_loss] => 0.0203
            [rr_ratio] => 2
            [closed_at] => 2025-05-27 01:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01988
            [stop_loss] => 0.0203
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.01982
            [stop_loss] => 0.0203
            [rr_ratio] => 3
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.01976
            [stop_loss] => 0.0203
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.0197
            [stop_loss] => 0.0203
            [rr_ratio] => 4
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.01964
            [stop_loss] => 0.0203
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01958
            [stop_loss] => 0.0203
            [rr_ratio] => 5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.01952
            [stop_loss] => 0.0203
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01946
            [stop_loss] => 0.0203
            [rr_ratio] => 6
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.0194
            [stop_loss] => 0.0203
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01934
            [stop_loss] => 0.0203
            [rr_ratio] => 7
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000195
            [max_drawdown] => 8.3E-5
            [rr_ratio] => 2.35
            [high] => 0.02026300
            [low] => 0.01998500
            [mfe_pct] => 0.97
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 2.35
            [candles_analyzed] => 24
            [start_at] => 2025-05-26T23:14:55-04:00
            [end_at] => 2025-05-27T01:14:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000263
            [max_drawdown] => 0.000509
            [rr_ratio] => 0.52
            [high] => 0.02068900
            [low] => 0.01991700
            [mfe_pct] => 1.3
            [mae_pct] => 2.52
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 72
            [start_at] => 2025-05-26T23:14:55-04:00
            [end_at] => 2025-05-27T05:14:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02032200
            [high_after] => 0.02068900
            [low_before] => 0.01953000
            [low_after] => 0.01991700
            [is_new_high] => 
            [is_new_low] => 
        )

)