Trade

sell - NEAR

Status
win
2025-06-17 19:41:54
13 minutes
PNL
0.65
Entry: 2.151
Last: 2.13700000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.1907
Prediction 1 Accuracy
Weak Trade
0.67
Prediction 2 Accuracy
0 0.55
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.006280027699
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 2.15066
  4. ema21 - 2.1845
  5. ema50 - 2.22229
  6. ema100 - 2.23049
  7. price_ema9_diff - 0.000154884
  8. ema9_ema21_diff - -0.0154907
  9. ema21_ema50_diff - -0.0170032
  10. price_ema100_diff - -0.0356411
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.407247
  14. kc_percentage - 0.271031
  15. kc_width_percentage - 0.0628928
  16. volume_ema_diff - -0.381664
  17. ¸
  18. 15m
  19. ema9 - 2.13913
  20. ema21 - 2.14449
  21. ema50 - 2.16341
  22. ema100 - 2.19658
  23. price_ema9_diff - 0.00554522
  24. ema9_ema21_diff - -0.00249888
  25. ema21_ema50_diff - -0.00874494
  26. price_ema100_diff - -0.0207513
  27. all_emas_in_trend - True
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.48475
  30. kc_percentage - 0.622895
  31. kc_width_percentage - 0.0264026
  32. volume_ema_diff - -0.766169
  33. ¸
  34. 5m
  35. ema9 - 2.14179
  36. ema21 - 2.13912
  37. ema50 - 2.14201
  38. ema100 - 2.14268
  39. price_ema9_diff - 0.00429865
  40. ema9_ema21_diff - 0.00124676
  41. ema21_ema50_diff - -0.00134756
  42. price_ema100_diff - 0.00387923
  43. all_emas_in_trend - False
  44. all_emas_and_price_in_trend - False
  45. rsi - 0.597474
  46. kc_percentage - 1.0231
  47. kc_width_percentage - 0.0106042
  48. volume_ema_diff - -0.721611
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 104394
  53. 5m_price_ema100_diff: 0.00235374
  54. 5m_price: 104640
  55. 5m_correlation_with_coin: 0.786834
  56. btc_indicators
  57. 15m_ema100: 105497
  58. 15m_price_ema100_diff: -0.00836502
  59. 15m_price: 104614
  60. btc_indicators
  61. 1H_ema100: 105794
  62. 1H_price_ema100_diff: -0.0109112
  63. 1H_price: 104640
  64. ¸

Short Trade on NEAR

The 17 Jun 2025 at 19:41:54

With 849.3 NEAR at 2.151$ per unit.

Position size of 1827 $

Take profit at 2.137 (0.65 %) and Stop Loss at 2.16 (0.42 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -20.56 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-06-17 19:44:30 0.9798 -35 2
BB 2025-06-17 19:46:46 0.9696 30 2
1000000MOG 2025-06-17 19:44:48 0.974 30 1
CAKE 2025-06-17 19:43:51 0.973 -100 1
VIRTUAL 2025-06-17 19:35:37 0.972 30 1
LPT 2025-06-17 19:46:02 0.9646 30 2
TRUMP 2025-06-17 19:40:54 0.9688 -100 2
APE 2025-06-17 19:42:11 0.9669 30 1
BNB 2025-06-17 19:41:00 0.9645 -100 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
19:41:54
17 Jun 2025
19:55:00
13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.151 2.16 2.137 1.6 2.168
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 2.151
  • Stop Loss: 2.16
  • Take Profit: 2.137

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.16 - 2.151 = 0.0090000000000003

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.151 - 2.137 = 0.014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.014 / 0.0090000000000003 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
1827 100 849.3 18.27
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 0.0090000000000003

Taille de position = 8 / 0.0090000000000003 = 888.89

Taille de position USD = 888.89 x 2.151 = 1912

Donc, tu peux acheter 888.89 avec un stoploss a 2.16

Avec un position size USD de 1912$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 888.89 x 0.0090000000000003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 888.89 x 0.014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position 888.89
  • Taille de position USD 1912
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.65 % 12 $
SL % Target SL $ Target
0.42 % 7.6 $
PNL PNL %
12 $ 0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.186 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.133
            [stop_loss] => 2.16
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 2.1285
            [stop_loss] => 2.16
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 2.124
            [stop_loss] => 2.16
            [rr_ratio] => 3
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.1195
            [stop_loss] => 2.16
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.115
            [stop_loss] => 2.16
            [rr_ratio] => 4
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.1105
            [stop_loss] => 2.16
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.106
            [stop_loss] => 2.16
            [rr_ratio] => 5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.1015
            [stop_loss] => 2.16
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.097
            [stop_loss] => 2.16
            [rr_ratio] => 6
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.0925
            [stop_loss] => 2.16
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.088
            [stop_loss] => 2.16
            [rr_ratio] => 7
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)