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Trade

buy - NEAR

Status
win
2025-07-02 19:35:02
1 hour
PNL
0.72
Entry: 2.219
Last: 2.23500000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3083
Prediction 1 Accuracy
Weak Trade
0.79
Prediction 2 Accuracy
0 0.48
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.007004680576
Details
  1. score: 2.19
  2. 1H
  3. ema9 - 2.2148
  4. ema21 - 2.17641
  5. ema50 - 2.1456
  6. ema100 - 2.13995
  7. price_ema9_diff - 0.00189483
  8. ema9_ema21_diff - 0.0176401
  9. ema21_ema50_diff - 0.0143563
  10. price_ema100_diff - 0.0369394
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.629017
  14. kc_percentage - 0.836466
  15. kc_width_percentage - 0.0538146
  16. volume_ema_diff - 0.228684
  17. volume_ema1 - 956591.9156769
  18. volume_ema2 - 778549.49544125
    19. ¸
  19. 15m
  20. ema9 - 2.23484
  21. ema21 - 2.22975
  22. ema50 - 2.20025
  23. ema100 - 2.15995
  24. price_ema9_diff - -0.00709018
  25. ema9_ema21_diff - 0.00228183
  26. ema21_ema50_diff - 0.0134098
  27. price_ema100_diff - 0.0273374
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.475857
  31. kc_percentage - 0.300603
  32. kc_width_percentage - 0.0262756
  33. volume_ema_diff - -0.314876
  34. volume_ema1 - 180073.33582548
  35. volume_ema2 - 262833.28578476
    36. ¸
  36. 5m
  37. ema9 - 2.23
  38. ema21 - 2.23753
  39. ema50 - 2.23494
  40. ema100 - 2.22113
  41. price_ema9_diff - -0.00493331
  42. ema9_ema21_diff - -0.00336623
  43. ema21_ema50_diff - 0.00115691
  44. price_ema100_diff - -0.000963273
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.347501
  48. kc_percentage - -0.186488
  49. kc_width_percentage - 0.0120018
  50. volume_ema_diff - -0.284278
  51. volume_ema1 - 65276.79159669
  52. volume_ema2 - 91204.13081913
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109092
  56. 5m_price_ema100_diff: -0.00169096
  57. 5m_price: 108907
  58. 5m_correlation_with_coin: 0.726159
  59. btc_indicators
  60. 15m_ema100: 107908
  61. 15m_price_ema100_diff: 0.00926189
  62. 15m_price: 108907
  63. btc_indicators
  64. 1H_ema100: 107359
  65. 1H_price_ema100_diff: 0.0144195
  66. 1H_price: 108907
    67. ¸

Long Trade on NEAR

The 02 Jul 2025 at 19:35:02

With 761.4 NEAR at 2.219$ per unit.

Position size of 1690 $

Take profit at 2.235 (0.72 %) and Stop Loss at 2.208 (0.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -41.43 %

Symbol Start at Seach Score Trade Score Trades Count
OP 2025-07-02 19:25:46 0.9683 -100 3
FLOKI 2025-07-02 19:32:58 0.9655 -100 2
FET 2025-07-02 19:36:30 0.9652 50 1
JUP 2025-06-28 20:41:42 0.9621 -100 2
INIT 2025-05-13 10:46:25 0.961 30 2
CRV 2025-07-02 19:34:45 0.9597 30 1
RAY 2025-07-02 19:17:52 0.9594 -100 1

📌 Time Data

Start at Closed at Duration
02 Jul 2025
19:35:02		 02 Jul 2025
20:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.219 2.208 2.235 1.5 2.107
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 2.219
  • Stop Loss: 2.208
  • Take Profit: 2.235

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.208 - 2.219 = -0.011

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.219 - 2.235 = -0.016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.016 / -0.011 = 1.4545

📌 Position Size

Amount Margin Quantity Leverage
1690 100 761.4 16.90
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 -0.011

Taille de position = 8 / -0.011 = -727.27

Taille de position USD = -727.27 x 2.219 = -1613.81

Donc, tu peux acheter -727.27 avec un stoploss a 2.208

Avec un position size USD de -1613.81$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -727.27 x -0.011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -727.27 x -0.016 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

  • Taille de position -727.27
  • Taille de position USD -1613.81
  • Perte potentielle 8
  • Gain potentiel 11.64
  • Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target TP $ Target
0.72 % 12 $
SL % Target SL $ Target
0.5 % 8.4 $
PNL PNL %
12 $ 0.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3605 % 72.73 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.241
            [stop_loss] => 2.208
            [rr_ratio] => 2
            [closed_at] => 2025-07-02 21:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.2465
            [stop_loss] => 2.208
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-02 21:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.252
            [stop_loss] => 2.208
            [rr_ratio] => 3
            [closed_at] => 2025-07-02 21:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.2575
            [stop_loss] => 2.208
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-02 23:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.263
            [stop_loss] => 2.208
            [rr_ratio] => 4
            [closed_at] => 2025-07-02 23:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.2685
            [stop_loss] => 2.208
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-02 23:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.274
            [stop_loss] => 2.208
            [rr_ratio] => 5
            [closed_at] => 2025-07-03 00:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.2795
            [stop_loss] => 2.208
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-03 00:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.285
            [stop_loss] => 2.208
            [rr_ratio] => 6
            [closed_at] => 2025-07-03 00:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.2905
            [stop_loss] => 2.208
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-03 00:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 2.296
            [stop_loss] => 2.208
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 00:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)