Trade

sell - 1000BONK

Status
win
2025-05-26 17:01:18
8 minutes
PNL
0.74
Entry: 0.02028
Last: 0.02013000

Results

Status:
win
Trade Type:
sell
Prediction Score: -3.8488
Prediction 1 Accuracy
Weak Trade
0.79
Prediction 2 Accuracy
0 0.54
ML Trade Score: 130
ML Pullback Score: 7.47

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 7.068541122E-5
Details
  1. score: 1.13
  2. 1H
  3. ema9 - 0.0202753
  4. ema21 - 0.0204724
  5. ema50 - 0.0207074
  6. ema100 - 0.0211156
  7. price_ema9_diff - 0.000473576
  8. ema9_ema21_diff - -0.009626
  9. ema21_ema50_diff - -0.0113488
  10. price_ema100_diff - -0.0393402
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.460753
  14. kc_percentage - 0.385022
  15. kc_width_percentage - 0.0768459
  16. ¸
  17. 15m
  18. ema9 - 0.020098
  19. ema21 - 0.020139
  20. ema50 - 0.0203621
  21. ema100 - 0.0204242
  22. price_ema9_diff - 0.00930391
  23. ema9_ema21_diff - -0.00203628
  24. ema21_ema50_diff - -0.0109558
  25. price_ema100_diff - -0.00681602
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.541488
  29. kc_percentage - 0.757216
  30. kc_width_percentage - 0.0295137
  31. ¸
  32. 5m
  33. ema9 - 0.0201665
  34. ema21 - 0.0201084
  35. ema50 - 0.0201115
  36. ema100 - 0.0202228
  37. price_ema9_diff - 0.00587413
  38. ema9_ema21_diff - 0.0028865
  39. ema21_ema50_diff - -0.000152652
  40. price_ema100_diff - 0.00307307
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.662581
  44. kc_percentage - 1.12503
  45. kc_width_percentage - 0.0136994
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 109372
  50. 5m_price_ema100_diff: -0.000115481
  51. 5m_price: 109360
  52. 5m_correlation_with_coin: 0.736754
  53. btc_indicators
  54. 15m_ema100: 109168
  55. 15m_price_ema100_diff: 0.00175407
  56. 15m_price: 109360
  57. btc_indicators
  58. 1H_ema100: 109223
  59. 1H_price_ema100_diff: 0.00125369
  60. 1H_price: 109360
  61. ¸

Short Trade on 1000BONK

The 26 May 2025 at 17:01:18

With 75451.6843 1000BONK at 0.02028$ per unit.

Position size of 1530.5374 $

Take profit at 0.02013 (0.74 %) and Stop Loss at 0.02039 (0.54 %)

That's a 1.36 RR Trade

📌 Similar Trades

Similar Trade Score: -16.11 %

Symbol Start at Seach Score Trade Score Trades Count
JTO 2025-07-06 08:53:26 0.9676 -100 2
HFT 2025-07-07 19:03:58 0.9662 -35 2
IP 2025-03-26 21:05:06 0.9643 30 1
FUN 2025-07-20 10:14:20 0.9639 50 1
CHILLGUY 2025-05-17 06:18:41 0.9627 -100 4
RENDER 2025-05-17 00:42:20 0.9627 30 1
ANIME 2025-06-13 03:32:10 0.9624 -100 1
FIL 2025-05-17 01:07:23 0.962 40 1
SNT 2025-06-20 18:37:34 0.9615 40 1

📌 Time Data

Start at Closed at Duration
26 May 2025
17:01:18
26 May 2025
17:10:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02028 0.02039 0.02013 1.36 0.03207
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 0.02028
  • Stop Loss: 0.02039
  • Take Profit: 0.02013

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02039 - 0.02028 = 0.00011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02028 - 0.02013 = 0.00015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00015 / 0.00011 = 1.3636

📌 Position Size

Amount Margin Quantity Leverage
1530.5374 100 75451.6843 15.31
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 0.02028 = 1474.91

Donc, tu peux acheter 72727.27 avec un stoploss a 0.02039

Avec un position size USD de 1474.91$

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 0.00015 = 10.91

Si Take Profit atteint, tu gagneras 10.91$

Résumé

  • Taille de position 72727.27
  • Taille de position USD 1474.91
  • Perte potentielle 8
  • Gain potentiel 10.91
  • Risk-Reward Ratio 1.3636

📌 Peformances

TP % Target TP $ Target
0.74 % 11.32 $
SL % Target SL $ Target
0.54 % 8.3 $
PNL PNL %
11.32 $ 0.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02006
            [stop_loss] => 0.02039
            [rr_ratio] => 2
            [closed_at] => 2025-05-26 18:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.020005
            [stop_loss] => 0.02039
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-26 19:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01995
            [stop_loss] => 0.02039
            [rr_ratio] => 3
            [closed_at] => 2025-05-26 20:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.019895
            [stop_loss] => 0.02039
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-26 21:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01984
            [stop_loss] => 0.02039
            [rr_ratio] => 4
            [closed_at] => 2025-05-26 21:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.019785
            [stop_loss] => 0.02039
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-26 21:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.01973
            [stop_loss] => 0.02039
            [rr_ratio] => 5
            [closed_at] => 2025-05-26 21:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.019675
            [stop_loss] => 0.02039
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-26 21:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.01962
            [stop_loss] => 0.02039
            [rr_ratio] => 6
            [closed_at] => 2025-05-26 21:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.019565
            [stop_loss] => 0.02039
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-26 21:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000277
            [max_drawdown] => 0.000107
            [rr_ratio] => 2.59
            [high] => 0.02038700
            [low] => 0.02000300
            [mfe_pct] => 1.37
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 2.59
            [candles_analyzed] => 24
            [start_at] => 2025-05-26T17:01:18-04:00
            [end_at] => 2025-05-26T19:01:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00075
            [max_drawdown] => 0.000107
            [rr_ratio] => 7.01
            [high] => 0.02038700
            [low] => 0.01953000
            [mfe_pct] => 3.7
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 7.01
            [candles_analyzed] => 72
            [start_at] => 2025-05-26T17:01:18-04:00
            [end_at] => 2025-05-26T23:01:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02028500
            [high_after] => 0.02038700
            [low_before] => 0.01978300
            [low_after] => 0.01953000
            [is_new_high] => 
            [is_new_low] => 1
        )

)