Trade

sell - NEAR

Status
loss
2025-05-15 12:19:46
30 minutes
PNL
-0.92
Entry: 2.945
Last: 2.97200000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 1.0557
Prediction 1 Probability
Weak Trade
0.56
Prediction 2 Probability
0 0.44
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 1.54

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0179488093
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 2.90573
  4. ema21 - 2.95856
  5. ema50 - 3.03853
  6. ema100 - 3.09315
  7. price_ema9_diff - 0.0135121
  8. ema9_ema21_diff - -0.0178542
  9. ema21_ema50_diff - -0.0263215
  10. price_ema100_diff - -0.0478968
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.457495
  14. kc_percentage - 0.460432
  15. kc_width_percentage - 0.0807329
  16. ¸
  17. 15m
  18. ema9 - 2.90123
  19. ema21 - 2.89217
  20. ema50 - 2.91889
  21. ema100 - 2.96318
  22. price_ema9_diff - 0.0150839
  23. ema9_ema21_diff - 0.00313483
  24. ema21_ema50_diff - -0.00915378
  25. price_ema100_diff - -0.00613693
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.613684
  29. kc_percentage - 0.901586
  30. kc_width_percentage - 0.0448694
  31. ¸
  32. 5m
  33. ema9 - 2.92612
  34. ema21 - 2.9029
  35. ema50 - 2.88792
  36. ema100 - 2.88531
  37. price_ema9_diff - 0.00645221
  38. ema9_ema21_diff - 0.00799616
  39. ema21_ema50_diff - 0.00518686
  40. price_ema100_diff - 0.020684
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.703552
  44. kc_percentage - 1.0932
  45. kc_width_percentage - 0.0233602
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 102266
  50. 5m_price_ema100_diff: 0.00878245
  51. 5m_price: 103164
  52. 5m_correlation_with_coin: 0.841511
  53. btc_indicators
  54. 15m_ema100: 102666
  55. 15m_price_ema100_diff: 0.00485051
  56. 15m_price: 103164
  57. btc_indicators
  58. 1H_ema100: 103276
  59. 1H_price_ema100_diff: -0.00108511
  60. 1H_price: 103164
  61. ¸

Short Trade on NEAR

The 15 May 2025 at 12:19:46

With 297.1413 NEAR at 2.945$ per unit.

Position size of 875.0813 $

Take profit at 2.9046 (1.37 %) and Stop Loss at 2.9719 (0.91 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -100 %

Symbol Start at Seach Score Trade Score Trades Count
GALA 2025-05-15 12:18:42 0.9853 -100 3
POL 2025-05-15 12:25:16 0.9821 -100 2
SEI 2025-05-15 12:21:43 0.9857 -100 1
NOT 2025-05-15 12:10:38 0.9804 -100 2
TIA 2025-05-15 12:00:58 0.9807 -100 1
VET 2025-05-15 12:16:26 0.98 -100 2
ATOM 2025-05-15 12:11:05 0.9764 -100 1
SUI 2025-05-15 12:21:01 0.975 -100 1

📌 Time Data

Start at Closed at Duration
15 May 2025
12:19:46
15 May 2025
12:50:00
30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.945 2.9719 2.9046 1.5 2.705
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 2.945
  • Stop Loss: 2.9719
  • Take Profit: 2.9046

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.9719 - 2.945 = 0.0269

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.945 - 2.9046 = 0.0404

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0404 / 0.0269 = 1.5019

📌 Position Size

Amount Margin Quantity Leverage
875.0813 100 297.1413 8.75
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 0.0269

Taille de position = 8 / 0.0269 = 297.4

Taille de position USD = 297.4 x 2.945 = 875.84

Donc, tu peux acheter 297.4 avec un stoploss a 2.9719

Avec un position size USD de 875.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 297.4 x 0.0269 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 297.4 x 0.0404 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 297.4
  • Taille de position USD 875.84
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5019

📌 Peformances

TP % Target TP $ Target
1.37 % 12 $
SL % Target SL $ Target
0.91 % 7.99 $
PNL PNL %
-8.02 $ -0.92
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.95076400679117 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.905
            [entry_price] => 2.945
            [stop_loss] => 2.9747
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-15 12:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.905
            [entry_price] => 2.945
            [stop_loss] => 2.9774
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-15 12:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.905
            [entry_price] => 2.945
            [stop_loss] => 2.9801
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-15 12:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.905
            [entry_price] => 2.945
            [stop_loss] => 2.9855
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-15 12:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.055
            [rr_ratio] => 0.56
            [high] => 3.00000000
            [low] => 2.91400000
            [mfe_pct] => 1.05
            [mae_pct] => 1.87
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2025-05-15T12:19:46-04:00
            [end_at] => 2025-05-15T14:19:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1
            [max_drawdown] => 0.055
            [rr_ratio] => 1.82
            [high] => 3.00000000
            [low] => 2.84500000
            [mfe_pct] => 3.4
            [mae_pct] => 1.87
            [mfe_mae_ratio] => 1.82
            [candles_analyzed] => 72
            [start_at] => 2025-05-15T12:19:46-04:00
            [end_at] => 2025-05-15T18:19:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.95000000
            [high_after] => 3.00000000
            [low_before] => 2.81400000
            [low_after] => 2.84500000
            [is_new_high] => 
            [is_new_low] => 
        )

)