Trade

sell - NEAR

Status
win
2025-06-17 15:41:52
1 hour
PNL
1.10
Entry: 2.181
Last: 2.15700000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.0357
Prediction 1 Accuracy
Weak Trade
0.63
Prediction 2 Accuracy
0 0.51
ML Trade Score: 80

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.01080785771
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 2.1673
  4. ema21 - 2.20562
  5. ema50 - 2.23766
  6. ema100 - 2.24475
  7. price_ema9_diff - 0.00631867
  8. ema9_ema21_diff - -0.0173717
  9. ema21_ema50_diff - -0.0143187
  10. price_ema100_diff - -0.0283998
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.423319
  14. kc_percentage - 0.346698
  15. kc_width_percentage - 0.0661735
  16. volume_ema_diff - 0.608163
  17. ¸
  18. 15m
  19. ema9 - 2.15288
  20. ema21 - 2.15278
  21. ema50 - 2.18221
  22. ema100 - 2.22777
  23. price_ema9_diff - 0.0130571
  24. ema9_ema21_diff - 4.92522E-5
  25. ema21_ema50_diff - -0.0134855
  26. price_ema100_diff - -0.0209984
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.58479
  30. kc_percentage - 0.890654
  31. kc_width_percentage - 0.0339925
  32. volume_ema_diff - -0.0169636
  33. ¸
  34. 5m
  35. ema9 - 2.1731
  36. ema21 - 2.15477
  37. ema50 - 2.14821
  38. ema100 - 2.15795
  39. price_ema9_diff - 0.00363425
  40. ema9_ema21_diff - 0.00850742
  41. ema21_ema50_diff - 0.00304988
  42. price_ema100_diff - 0.0106795
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.681542
  46. kc_percentage - 1.09052
  47. kc_width_percentage - 0.0196049
  48. volume_ema_diff - -0.225464
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 104622
  53. 5m_price_ema100_diff: 0.00274354
  54. 5m_price: 104909
  55. 5m_correlation_with_coin: 0.807088
  56. btc_indicators
  57. 15m_ema100: 105996
  58. 15m_price_ema100_diff: -0.00978399
  59. 15m_price: 104959
  60. btc_indicators
  61. 1H_ema100: 105962
  62. 1H_price_ema100_diff: -0.00993509
  63. 1H_price: 104909
  64. ¸

Short Trade on NEAR

The 17 Jun 2025 at 15:41:52

With 493.5 NEAR at 2.181$ per unit.

Position size of 1076 $

Take profit at 2.157 (1.1 %) and Stop Loss at 2.197 (0.73 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 35 %

Symbol Start at Seach Score Trade Score Trades Count
FLOKI 2025-06-17 15:44:05 0.9927 30 1
ORDI 2025-06-17 15:44:22 0.9922 30 1
GALA 2025-06-17 15:41:38 0.991 30 1
AVAX 2025-06-17 15:41:22 0.9903 30 1
DOGE 2025-06-17 15:40:34 0.9896 30 1
ETHFI 2025-06-17 15:45:48 0.9894 30 1
ALGO 2025-06-17 15:42:07 0.9882 50 1
ETH 2025-06-17 15:49:04 0.9876 30 1
ADA 2025-06-17 15:44:43 0.9865 35 2
WLD 2025-06-17 15:44:48 0.9872 40 1
OP 2025-06-17 15:42:35 0.9867 50 1
ARB 2025-06-17 15:43:50 0.9859 40 1
LTC 2025-06-17 15:39:29 0.9856 30 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
15:41:52
17 Jun 2025
16:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.181 2.197 2.157 1.5 2.13
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 2.181
  • Stop Loss: 2.197
  • Take Profit: 2.157

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.197 - 2.181 = 0.016

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.181 - 2.157 = 0.024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.024 / 0.016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1076 100 493.5 10.76
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 0.016

Taille de position = 8 / 0.016 = 500

Taille de position USD = 500 x 2.181 = 1090.5

Donc, tu peux acheter 500 avec un stoploss a 2.197

Avec un position size USD de 1090.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 500 x 0.016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 500 x 0.024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 500
  • Taille de position USD 1090.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.1 % 12 $
SL % Target SL $ Target
0.73 % 7.9 $
PNL PNL %
12 $ 1.10
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5961 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.149
            [stop_loss] => 2.197
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 17:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.141
            [stop_loss] => 2.197
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-17 17:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.133
            [stop_loss] => 2.197
            [rr_ratio] => 3
            [closed_at] => 2025-06-17 17:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.125
            [stop_loss] => 2.197
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-17 18:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.117
            [stop_loss] => 2.197
            [rr_ratio] => 4
            [closed_at] => 2025-06-17 18:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)