Trade

sell - NEAR

Status
win
2025-05-25 16:01:25
8 minutes
PNL
0.56
Entry: 2.696
Last: 2.68100000

Results

Status:
win
Trade Type:
sell
Prediction Score: -3.3675
Prediction 1 Accuracy
Strong Trade
0.52
Prediction 2 Accuracy
2 0.52
ML Trade Score: 50

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.006468507949
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 2.68913
  4. ema21 - 2.71774
  5. ema50 - 2.78112
  6. ema100 - 2.83916
  7. price_ema9_diff - 0.0025517
  8. ema9_ema21_diff - -0.0105241
  9. ema21_ema50_diff - -0.0227912
  10. price_ema100_diff - -0.0504246
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.400814
  14. kc_percentage - 0.345486
  15. kc_width_percentage - 0.0462956
  16. ¸
  17. 15m
  18. ema9 - 2.68058
  19. ema21 - 2.67896
  20. ema50 - 2.69465
  21. ema100 - 2.71914
  22. price_ema9_diff - 0.00575184
  23. ema9_ema21_diff - 0.000601907
  24. ema21_ema50_diff - -0.00582209
  25. price_ema100_diff - -0.00851065
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.584461
  29. kc_percentage - 0.826226
  30. kc_width_percentage - 0.0196749
  31. ¸
  32. 5m
  33. ema9 - 2.68793
  34. ema21 - 2.68113
  35. ema50 - 2.67708
  36. ema100 - 2.6797
  37. price_ema9_diff - 0.00299878
  38. ema9_ema21_diff - 0.0025384
  39. ema21_ema50_diff - 0.00151158
  40. price_ema100_diff - 0.00608218
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.689439
  44. kc_percentage - 1.07453
  45. kc_width_percentage - 0.0093444
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 107302
  50. 5m_price_ema100_diff: 0.00296161
  51. 5m_price: 107620
  52. 5m_correlation_with_coin: 0.776171
  53. btc_indicators
  54. 15m_ema100: 107657
  55. 15m_price_ema100_diff: -0.000345784
  56. 15m_price: 107620
  57. btc_indicators
  58. 1H_ema100: 108264
  59. 1H_price_ema100_diff: -0.00595324
  60. 1H_price: 107620
  61. ¸

Short Trade on NEAR

The 25 May 2025 at 16:01:25

With 824.5 NEAR at 2.696$ per unit.

Position size of 2223 $

Take profit at 2.681 (0.56 %) and Stop Loss at 2.706 (0.37 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 0.45 %

Symbol Start at Seach Score Trade Score Trades Count
IO 2025-05-25 16:00:52 0.9766 30 2
FET 2025-05-25 15:59:45 0.9734 45 2
TURBO 2025-05-25 16:02:09 0.9699 30 1
1000BONK 2025-05-25 15:58:27 0.9691 30 1
BCH 2025-05-25 16:00:43 0.9688 40 1
PEPE 2025-05-25 15:58:07 0.9687 50 1
DOT 2025-05-25 15:56:34 0.9684 50 1
PAXG 2025-06-24 13:30:11 0.9684 -100 1
ONDO 2025-05-25 16:02:34 0.968 30 1
PNUT 2025-05-25 15:51:51 0.9663 -100 1
AI16Z 2025-05-25 15:59:53 0.9653 -100 1

📌 Time Data

Start at Closed at Duration
25 May 2025
16:01:25
25 May 2025
16:10:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.696 2.706 2.681 1.5 2.523
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 2.696
  • Stop Loss: 2.706
  • Take Profit: 2.681

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.706 - 2.696 = 0.0099999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.696 - 2.681 = 0.015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.015 / 0.0099999999999998 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2223 100 824.5 22.23
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 0.0099999999999998

Taille de position = 8 / 0.0099999999999998 = 800

Taille de position USD = 800 x 2.696 = 2156.8

Donc, tu peux acheter 800 avec un stoploss a 2.706

Avec un position size USD de 2156.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 800 x 0.0099999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 800 x 0.015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 800
  • Taille de position USD 2156.8
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.56 % 12 $
SL % Target SL $ Target
0.37 % 8.2 $
PNL PNL %
12 $ 0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.676
            [stop_loss] => 2.706
            [rr_ratio] => 2
            [closed_at] => 2025-05-25 16:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.671
            [stop_loss] => 2.706
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-25 17:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.666
            [stop_loss] => 2.706
            [rr_ratio] => 3
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.661
            [stop_loss] => 2.706
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.656
            [stop_loss] => 2.706
            [rr_ratio] => 4
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.651
            [stop_loss] => 2.706
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.646
            [stop_loss] => 2.706
            [rr_ratio] => 5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.641
            [stop_loss] => 2.706
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.636
            [stop_loss] => 2.706
            [rr_ratio] => 6
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.631
            [stop_loss] => 2.706
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.626
            [stop_loss] => 2.706
            [rr_ratio] => 7
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)