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Trade

sell - NEAR

Status
win
2025-05-14 20:54:22
15 minutes
PNL
0.68
Entry: 3.101
Last: 3.08000000

Results

Status:
win
Trade Type:
sell
Prediction Score: -4.8583
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.59
Prediction 3 Probability
n/a
ML Trade Score: 140
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.009521147029
Details
  1. score: 1.19
  2. 1H
  3. ema9 - 3.07849
  4. ema21 - 3.1068
  5. ema50 - 3.1372
  6. ema100 - 3.15554
  7. price_ema9_diff - 0.00731059
  8. ema9_ema21_diff - -0.00911281
  9. ema21_ema50_diff - -0.00969098
  10. price_ema100_diff - -0.0172858
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.465801
  14. kc_percentage - 0.478105
  15. kc_width_percentage - 0.0563528
    16. ¸
  16. 15m
  17. ema9 - 3.07284
  18. ema21 - 3.06745
  19. ema50 - 3.08403
  20. ema100 - 3.11743
  21. price_ema9_diff - 0.00916194
  22. ema9_ema21_diff - 0.00175615
  23. ema21_ema50_diff - -0.0053739
  24. price_ema100_diff - -0.00527244
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.628806
  28. kc_percentage - 0.98525
  29. kc_width_percentage - 0.0223405
    30. ¸
  30. 5m
  31. ema9 - 3.08753
  32. ema21 - 3.07431
  33. ema50 - 3.06592
  34. ema100 - 3.06411
  35. price_ema9_diff - 0.00436128
  36. ema9_ema21_diff - 0.00430106
  37. ema21_ema50_diff - 0.00273575
  38. price_ema100_diff - 0.012037
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.748138
  42. kc_percentage - 1.18786
  43. kc_width_percentage - 0.0121819
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103477
  47. 5m_price_ema100_diff: 0.00265491
  48. 5m_price: 103752
  49. 5m_correlation_with_coin: 0.667121
  50. btc_indicators
  51. 15m_ema100: 103576
  52. 15m_price_ema100_diff: 0.00169736
  53. 15m_price: 103752
  54. btc_indicators
  55. 1H_ema100: 103579
  56. 1H_price_ema100_diff: 0.00166523
  57. 1H_price: 103752
    58. ¸

Short Trade on NEAR

The 14 May 2025 at 20:54:22

With 560.1566 NEAR at 3.101$ per unit.

Position size of 1737.0456 $

Take profit at 3.0796 (0.69 %) and Stop Loss at 3.1153 (0.46 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -14.58 %

Symbol Start at Seach Score Trade Score Trades Count
APT 2025-05-14 20:59:55 0.9609 70 2
GALA 2025-05-14 20:50:26 0.9677 35 2
VET 2025-05-14 20:51:05 0.9571 -25 2
DOGE 2025-08-14 19:41:07 0.9403 -100 1
PAXG 2025-05-27 13:35:22 0.9384 32.5 4
XLM 2025-03-26 21:05:06 0.9399 -100 1

📌 Time Data

Start at Closed at Duration
14 May 2025
20:54:22		 14 May 2025
21:10:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.101 3.1153 3.0796 1.5 2.505
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 3.101
  • Stop Loss: 3.1153
  • Take Profit: 3.0796

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.1153 - 3.101 = 0.0143

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.101 - 3.0796 = 0.0214

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0214 / 0.0143 = 1.4965

📌 Position Size

Amount Margin Quantity Leverage
1737.0456 100 560.1566 17.37
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 0.0143

Taille de position = 8 / 0.0143 = 559.44

Taille de position USD = 559.44 x 3.101 = 1734.82

Donc, tu peux acheter 559.44 avec un stoploss a 3.1153

Avec un position size USD de 1734.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 559.44 x 0.0143 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 559.44 x 0.0214 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

  • Taille de position 559.44
  • Taille de position USD 1734.82
  • Perte potentielle 8
  • Gain potentiel 11.97
  • Risk-Reward Ratio 1.4965

📌 Peformances

TP % Target TP $ Target
0.69 % 11.99 $
SL % Target SL $ Target
0.46 % 8.01 $
PNL PNL %
11.76 $ 0.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.073
            [stop_loss] => 3.115
            [rr_ratio] => 2
            [closed_at] => 2025-05-14 21:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.066
            [stop_loss] => 3.115
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-14 21:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.059
            [stop_loss] => 3.115
            [rr_ratio] => 3
            [closed_at] => 2025-05-14 21:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.052
            [stop_loss] => 3.115
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-14 21:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.045
            [stop_loss] => 3.115
            [rr_ratio] => 4
            [closed_at] => 2025-05-14 21:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.038
            [stop_loss] => 3.115
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-14 21:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.031
            [stop_loss] => 3.115
            [rr_ratio] => 5
            [closed_at] => 2025-05-14 21:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.024
            [stop_loss] => 3.115
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-14 21:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 3.017
            [stop_loss] => 3.115
            [rr_ratio] => 6
            [closed_at] => 2025-05-14 21:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 3.01
            [stop_loss] => 3.115
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-14 23:50:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 3.003
            [stop_loss] => 3.115
            [rr_ratio] => 7
            [closed_at] => 2025-05-15 00:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.089
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 3.10100000
            [low] => 3.01200000
            [mfe_pct] => 2.87
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-14T20:54:22-04:00
            [end_at] => 2025-05-14T22:54:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.166
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 3.10100000
            [low] => 2.93500000
            [mfe_pct] => 5.35
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-14T20:54:22-04:00
            [end_at] => 2025-05-15T02:54:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.10200000
            [high_after] => 3.10100000
            [low_before] => 3.02500000
            [low_after] => 2.93500000
            [is_new_high] => 
            [is_new_low] => 1
        )

)