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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

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: ema9 - 0.020112
  3. 1H: ema21 - 0.0202942
  4. 1H: ema50 - 0.0205857
  5. 1H: ema100 - 0.0211322
  6. 1H: price_ema9_diff - 0.00338041
  7. 1H: ema9_ema21_diff - -0.00898024
  8. 1H: ema21_ema50_diff - -0.0141599
  9. 1H: price_ema100_diff - -0.0450628
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.468109
  13. 1H: kc_percentage - 0.430718
  14. 1H: kc_width_percentage - 0.0738035
    15. ¸
  15. 15m: ema9 - 0.0200081
  16. 15m: ema21 - 0.020026
  17. 15m: ema50 - 0.0201766
  18. 15m: ema100 - 0.0204254
  19. 15m: price_ema9_diff - 0.008588
  20. 15m: ema9_ema21_diff - -0.000893892
  21. 15m: ema21_ema50_diff - -0.00746329
  22. 15m: price_ema100_diff - -0.0120185
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.551747
  26. 15m: kc_percentage - 0.743128
  27. 15m: kc_width_percentage - 0.0320649
    28. ¸
  28. 5m: ema9 - 0.020061
  29. 5m: ema21 - 0.0200035
  30. 5m: ema50 - 0.0200001
  31. 5m: ema100 - 0.0200172
  32. 5m: price_ema9_diff - 0.00592924
  33. 5m: ema9_ema21_diff - 0.00287708
  34. 5m: ema21_ema50_diff - 0.000165856
  35. 5m: price_ema100_diff - 0.00813026
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.649468
  39. 5m: kc_percentage - 1.02899
  40. 5m: kc_width_percentage - 0.0163032
    41. ¸

Short Trade on 1000BONK

The 26 May 2025 at 23:14:55

With 1346 1000BONK at 0.02018$ per unit.

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 0.962 -100 1
AVAX 2025-05-26 23:16:32 0.9456 -100 2
ARB 2025-05-26 23:17:00 0.9423 30 2
HBAR 2025-05-26 23:19:09 0.9485 40 1
ONDO 2025-05-26 23:17:33 0.9375 30 2
DOT 2025-04-27 10:40:24 0.9319 30 1
KAS 2025-04-26 18:12:01 0.9277 -100 1
SOL 2025-05-24 05:22:51 0.9262 -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 0.01506
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 100 66720 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 $
SL % Target SL $ Target
0.59 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.89 -0.41129831516353

📌 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
        )

)
Extra SL data

                              Array
(
)