Trade

sell - ATH

Status
loss
2025-05-30 22:35:27
44 minutes
PNL
-1.51
Entry: 0.0511
Last: 0.05187000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0.5278
Prediction 1 Probability
Strong Trade
0.51
Prediction 2 Probability
0 0.41
Prediction 3 Probability
n/a
ML Trade Score: -80
ML Pullback Score: 4.3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0005153127195
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 0.0510029
  4. ema21 - 0.0516084
  5. ema50 - 0.0516735
  6. ema100 - 0.0518973
  7. price_ema9_diff - 0.00190331
  8. ema9_ema21_diff - -0.0117322
  9. ema21_ema50_diff - -0.00126109
  10. price_ema100_diff - -0.0153631
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.476563
  14. kc_percentage - 0.429094
  15. kc_width_percentage - 0.136483
  16. ¸
  17. 15m
  18. ema9 - 0.0499173
  19. ema21 - 0.0502947
  20. ema50 - 0.0513052
  21. ema100 - 0.0515927
  22. price_ema9_diff - 0.0236931
  23. ema9_ema21_diff - -0.00750389
  24. ema21_ema50_diff - -0.0196966
  25. price_ema100_diff - -0.00955078
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.54386
  29. kc_percentage - 0.741863
  30. kc_width_percentage - 0.069289
  31. ¸
  32. 5m
  33. ema9 - 0.0505809
  34. ema21 - 0.0498802
  35. ema50 - 0.0499781
  36. ema100 - 0.0508394
  37. price_ema9_diff - 0.0102607
  38. ema9_ema21_diff - 0.0140478
  39. ema21_ema50_diff - -0.00195803
  40. price_ema100_diff - 0.00512588
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.680131
  44. kc_percentage - 1.07828
  45. kc_width_percentage - 0.0402508
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104114
  50. 5m_price_ema100_diff: -0.00571144
  51. 5m_price: 103520
  52. 5m_correlation_with_coin: 0.613527
  53. btc_indicators
  54. 15m_ema100: 104786
  55. 15m_price_ema100_diff: -0.0120859
  56. 15m_price: 103520
  57. btc_indicators
  58. 1H_ema100: 106856
  59. 1H_price_ema100_diff: -0.0312209
  60. 1H_price: 103520
  61. ¸

Short Trade on ATH

The 30 May 2025 at 22:35:27

With 10349.7025 ATH at 0.0511$ per unit.

Position size of 528.8698 $

Take profit at 0.04994 (2.27 %) and Stop Loss at 0.05187 (1.51 %)

That's a 1.51 RR Trade

📌 Similar Trades

Similar Trade Score: 11.67 %

Symbol Start at Seach Score Trade Score Trades Count
UNI 2025-07-31 12:39:53 0.9413 30 1
GALA 2025-07-31 12:42:50 0.9376 -35 2
AIO 2025-08-17 07:26:46 0.9381 -100 1
GRASS 2025-07-31 12:40:33 0.9322 30 2
JTO 2025-07-31 12:43:00 0.9322 30 1
AAVE 2025-07-31 12:40:02 0.9304 50 1
BLUR 2025-07-31 12:41:29 0.9301 30 1
ERA 2025-07-28 20:17:59 0.9299 30 1
ARB 2025-07-04 05:28:51 0.9298 40 1

📌 Time Data

Start at Closed at Duration
30 May 2025
22:35:27
30 May 2025
23:20:00
44 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0511 0.05187 0.04994 1.51 0.0316
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 0.0511
  • Stop Loss: 0.05187
  • Take Profit: 0.04994

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05187 - 0.0511 = 0.00077

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0511 - 0.04994 = 0.00116

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00116 / 0.00077 = 1.5065

📌 Position Size

Amount Margin Quantity Leverage
528.8698 100 10349.7025 5.29
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 0.00077

Taille de position = 8 / 0.00077 = 10389.61

Taille de position USD = 10389.61 x 0.0511 = 530.91

Donc, tu peux acheter 10389.61 avec un stoploss a 0.05187

Avec un position size USD de 530.91$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10389.61 x 0.00077 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10389.61 x 0.00116 = 12.05

Si Take Profit atteint, tu gagneras 12.05$

Résumé

  • Taille de position 10389.61
  • Taille de position USD 530.91
  • Perte potentielle 8
  • Gain potentiel 12.05
  • Risk-Reward Ratio 1.5065

📌 Peformances

TP % Target TP $ Target
2.27 % 12.01 $
SL % Target SL $ Target
1.51 % 7.97 $
PNL PNL %
-7.97 $ -1.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.8786692759296 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04994
            [entry_price] => 0.0511
            [stop_loss] => 0.051947
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-30 23:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04994
            [entry_price] => 0.0511
            [stop_loss] => 0.052024
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-30 23:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04994
            [entry_price] => 0.0511
            [stop_loss] => 0.052101
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-30 23:40:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.04994
            [entry_price] => 0.0511
            [stop_loss] => 0.052255
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-30 23:40:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00295
            [max_drawdown] => 0.00096
            [rr_ratio] => 3.07
            [high] => 0.05206000
            [low] => 0.04815000
            [mfe_pct] => 5.77
            [mae_pct] => 1.88
            [mfe_mae_ratio] => 3.07
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T22:35:27-04:00
            [end_at] => 2025-05-31T00:35:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00295
            [max_drawdown] => 0.00096
            [rr_ratio] => 3.07
            [high] => 0.05206000
            [low] => 0.04815000
            [mfe_pct] => 5.77
            [mae_pct] => 1.88
            [mfe_mae_ratio] => 3.07
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T22:35:27-04:00
            [end_at] => 2025-05-31T04:35:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05140000
            [high_after] => 0.05206000
            [low_before] => 0.04730000
            [low_after] => 0.04815000
            [is_new_high] => 
            [is_new_low] => 
        )

)