Trade

sell - NEAR

Status
win
2025-05-26 17:00:45
4 minutes
PNL
0.65
Entry: 2.78
Last: 2.76200000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.56
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 8.49

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.008120154922
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 2.77815
  4. ema21 - 2.78366
  5. ema50 - 2.79154
  6. ema100 - 2.83961
  7. price_ema9_diff - 0.000665818
  8. ema9_ema21_diff - -0.00197948
  9. ema21_ema50_diff - -0.00282326
  10. price_ema100_diff - -0.0209928
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.49512
  14. kc_percentage - 0.477024
  15. kc_width_percentage - 0.059763
  16. ¸
  17. 15m
  18. ema9 - 2.76161
  19. ema21 - 2.76799
  20. ema50 - 2.7819
  21. ema100 - 2.7763
  22. price_ema9_diff - 0.00665866
  23. ema9_ema21_diff - -0.0023058
  24. ema21_ema50_diff - -0.00500085
  25. price_ema100_diff - 0.00133097
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.528158
  29. kc_percentage - 0.68631
  30. kc_width_percentage - 0.0246104
  31. ¸
  32. 5m
  33. ema9 - 2.76794
  34. ema21 - 2.76216
  35. ema50 - 2.76553
  36. ema100 - 2.77642
  37. price_ema9_diff - 0.00435591
  38. ema9_ema21_diff - 0.00209167
  39. ema21_ema50_diff - -0.0012185
  40. price_ema100_diff - 0.00128692
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.636226
  44. kc_percentage - 1.04906
  45. kc_width_percentage - 0.0115774
  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: 0.839956
  53. btc_indicators
  54. 15m_ema100: 109167
  55. 15m_price_ema100_diff: 0.00139313
  56. 15m_price: 109319
  57. btc_indicators
  58. 1H_ema100: 109221
  59. 1H_price_ema100_diff: 0.000726914
  60. 1H_price: 109301
  61. ¸

Short Trade on NEAR

The 26 May 2025 at 17:00:45

With 656.8019 NEAR at 2.78$ per unit.

Position size of 1825.9093 $

Take profit at 2.7617 (0.66 %) and Stop Loss at 2.7922 (0.44 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -43.33 %

Symbol Start at Seach Score Trade Score Trades Count
ONDO 2025-05-26 17:01:52 0.9663 30 1
SEI 2025-05-26 17:01:28 0.9584 30 1
ETHFI 2025-05-26 17:01:45 0.9351 -100 1
ETHFI 2025-06-12 23:35:42 0.8792 30 1
TSTBSC 2025-04-26 12:03:16 0.8929 40 1
PNUT 2025-07-05 16:38:37 0.8927 -100 1
TRUMP 2025-07-13 22:16:45 0.8917 -100 1
HYPE 2025-05-04 22:17:30 0.889 -100 2
GOAT 2025-07-04 05:31:59 0.8889 50 1
LPT 2025-07-01 01:10:37 0.8853 -100 2
WLD 2025-06-04 11:19:54 0.885 -100 1
JASMY 2025-07-03 15:38:11 0.8837 -100 1

📌 Time Data

Start at Closed at Duration
26 May 2025
17:00:45
26 May 2025
17:05:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.78 2.7922 2.7617 1.5 2.849
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 2.78
  • Stop Loss: 2.7922
  • Take Profit: 2.7617

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.7922 - 2.78 = 0.0122

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.78 - 2.7617 = 0.0183

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0183 / 0.0122 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1825.9093 100 656.8019 18.26
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 0.0122

Taille de position = 8 / 0.0122 = 655.74

Taille de position USD = 655.74 x 2.78 = 1822.96

Donc, tu peux acheter 655.74 avec un stoploss a 2.7922

Avec un position size USD de 1822.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 655.74 x 0.0122 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 655.74 x 0.0183 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 655.74
  • Taille de position USD 1822.96
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.66 % 12.02 $
SL % Target SL $ Target
0.44 % 8.01 $
PNL PNL %
11.82 $ 0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.756
            [stop_loss] => 2.792
            [rr_ratio] => 2
            [closed_at] => 2025-05-26 17:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.75
            [stop_loss] => 2.792
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-26 18:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.744
            [stop_loss] => 2.792
            [rr_ratio] => 3
            [closed_at] => 2025-05-26 19:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.738
            [stop_loss] => 2.792
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-26 21:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.732
            [stop_loss] => 2.792
            [rr_ratio] => 4
            [closed_at] => 2025-05-26 21:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.726
            [stop_loss] => 2.792
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-26 21:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.72
            [stop_loss] => 2.792
            [rr_ratio] => 5
            [closed_at] => 2025-05-26 21:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.714
            [stop_loss] => 2.792
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-26 21:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.708
            [stop_loss] => 2.792
            [rr_ratio] => 6
            [closed_at] => 2025-05-26 21:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.702
            [stop_loss] => 2.792
            [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] => 0.041
            [max_drawdown] => 0.011
            [rr_ratio] => 3.73
            [high] => 2.79100000
            [low] => 2.73900000
            [mfe_pct] => 1.47
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 3.73
            [candles_analyzed] => 24
            [start_at] => 2025-05-26T17:00:45-04:00
            [end_at] => 2025-05-26T19:00:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.083
            [max_drawdown] => 0.011
            [rr_ratio] => 7.55
            [high] => 2.79100000
            [low] => 2.69700000
            [mfe_pct] => 2.99
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 7.55
            [candles_analyzed] => 72
            [start_at] => 2025-05-26T17:00:45-04:00
            [end_at] => 2025-05-26T23:00:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.78900000
            [high_after] => 2.79100000
            [low_before] => 2.74100000
            [low_after] => 2.69700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)