Trade

sell - NEAR

Status
win
2025-07-06 02:17:45
12 minutes
PNL
0.33
Entry: 2.129
Last: 2.12200000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.8375
Prediction 1 Accuracy
Weak Trade
0.79
Prediction 2 Accuracy
0 0.52
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.29
  4. atr: 0.003233447355
Details
  1. score: 1.29
  2. 1H
  3. ema9 - 2.12605
  4. ema21 - 2.12945
  5. ema50 - 2.14529
  6. ema100 - 2.15134
  7. price_ema9_diff - 0.00138448
  8. ema9_ema21_diff - -0.00159545
  9. ema21_ema50_diff - -0.00738482
  10. price_ema100_diff - -0.0103859
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.486224
  14. kc_percentage - 0.498924
  15. kc_width_percentage - 0.0303622
  16. volume_ema_diff - -0.576656
  17. volume_ema1 - 204309.45600229
  18. volume_ema2 - 482609.61183366
  19. ¸
  20. 15m
  21. ema9 - 2.1203
  22. ema21 - 2.12328
  23. ema50 - 2.12603
  24. ema100 - 2.12553
  25. price_ema9_diff - 0.00410252
  26. ema9_ema21_diff - -0.00140653
  27. ema21_ema50_diff - -0.00129282
  28. price_ema100_diff - 0.00162815
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.542477
  32. kc_percentage - 0.735113
  33. kc_width_percentage - 0.0118865
  34. volume_ema_diff - -0.570385
  35. volume_ema1 - 34652.795014162
  36. volume_ema2 - 80660.20226113
  37. ¸
  38. 5m
  39. ema9 - 2.11872
  40. ema21 - 2.11814
  41. ema50 - 2.12185
  42. ema100 - 2.12736
  43. price_ema9_diff - 0.00484974
  44. ema9_ema21_diff - 0.000275619
  45. ema21_ema50_diff - -0.00175052
  46. price_ema100_diff - 0.000768355
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.664317
  50. kc_percentage - 1.29142
  51. kc_width_percentage - 0.00648408
  52. volume_ema_diff - -0.355294
  53. volume_ema1 - 13219.038416502
  54. volume_ema2 - 20504.00892155
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108024
  59. 5m_price_ema100_diff: 0.000527737
  60. 5m_price: 108081
  61. 5m_correlation_with_coin: 0.455177
  62. btc_indicators
  63. 15m_ema100: 108035
  64. 15m_price_ema100_diff: 0.000424845
  65. 15m_price: 108081
  66. btc_indicators
  67. 1H_ema100: 108033
  68. 1H_price_ema100_diff: 0.000437587
  69. 1H_price: 108081
  70. ¸

Short Trade on NEAR

The 06 Jul 2025 at 02:17:45

With 1649 NEAR at 2.129$ per unit.

Position size of 3512 $

Take profit at 2.122 (0.33 %) and Stop Loss at 2.134 (0.23 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -76.36 %

Symbol Start at Seach Score Trade Score Trades Count
ARB 2025-07-06 02:19:53 0.9443 -100 1
APT 2025-07-06 02:27:53 0.8086 -100 2
FARTCOIN 2025-05-19 19:59:00 0.8159 -100 2
HIPPO 2025-05-31 09:06:49 0.8214 30 1
GOAT 2025-07-06 02:48:57 0.8162 -100 1
TRB 2025-07-06 02:18:58 0.815 30 1
INJ 2025-07-06 02:25:30 0.7696 -100 1
PEPE 2025-05-02 19:54:50 0.7537 -100 1
ARC 2025-05-29 04:20:33 0.7472 -100 1
APE 2025-06-28 03:03:20 0.7444 -100 1
UXLINK 2025-04-12 18:11:31 0.739 -100 1

📌 Time Data

Start at Closed at Duration
06 Jul 2025
02:17:45
06 Jul 2025
02:30:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.129 2.134 2.122 1.4 2.485
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 2.129
  • Stop Loss: 2.134
  • Take Profit: 2.122

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.134 - 2.129 = 0.0049999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.129 - 2.122 = 0.0070000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0070000000000001 / 0.0049999999999999 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
3512 100 1649 35.12
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 0.0049999999999999

Taille de position = 8 / 0.0049999999999999 = 1600

Taille de position USD = 1600 x 2.129 = 3406.4

Donc, tu peux acheter 1600 avec un stoploss a 2.134

Avec un position size USD de 3406.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1600 x 0.0049999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1600 x 0.0070000000000001 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 1600
  • Taille de position USD 3406.4
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.33 % 12 $
SL % Target SL $ Target
0.23 % 8.2 $
PNL PNL %
12 $ 0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.119
            [stop_loss] => 2.134
            [rr_ratio] => 2
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 2.1165
            [stop_loss] => 2.134
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 2.114
            [stop_loss] => 2.134
            [rr_ratio] => 3
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.1115
            [stop_loss] => 2.134
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.109
            [stop_loss] => 2.134
            [rr_ratio] => 4
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.1065
            [stop_loss] => 2.134
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.104
            [stop_loss] => 2.134
            [rr_ratio] => 5
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.1015
            [stop_loss] => 2.134
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.099
            [stop_loss] => 2.134
            [rr_ratio] => 6
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.0965
            [stop_loss] => 2.134
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.094
            [stop_loss] => 2.134
            [rr_ratio] => 7
            [closed_at] => 2025-07-06 03:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)