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Trade

sell - NEAR

Status
win
2025-08-29 08:32:48
2 minutes
PNL
0.97
Entry: 2.481
Last: 2.45700000

Results

Status:
win
Trade Type:
sell
Prediction Score: 5.2625
Prediction 1 Probability
Strong Trade
0.88
Prediction 2 Probability
1 0.48
Prediction 3 Probability
1 0.85
ML Trade Score: 100
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.28
  4. atr: 0.01067999217
Details
  1. score: 1.28
  2. 1H
  3. ema9 - 2.46071
  4. ema21 - 2.48157
  5. ema50 - 2.49781
  6. ema100 - 2.50216
  7. price_ema9_diff - 0.00824194
  8. ema9_ema21_diff - -0.00840462
  9. ema21_ema50_diff - -0.00650322
  10. price_ema100_diff - -0.0084595
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.486543
  14. adx - 0.209411
  15. kc_percentage - 0.504986
  16. kc_width_percentage - 0.0550711
  17. volume_ema_diff - 0.630452
  18. volume_ema1 - 2972392.4210258
  19. volume_ema2 - 1823047.8651803
    20. ¸
  20. 15m
  21. ema9 - 2.44707
  22. ema21 - 2.4458
  23. ema50 - 2.46551
  24. ema100 - 2.48589
  25. price_ema9_diff - 0.0138624
  26. ema9_ema21_diff - 0.000518602
  27. ema21_ema50_diff - -0.00799083
  28. price_ema100_diff - -0.00197018
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.620595
  32. adx - 0.302647
  33. kc_percentage - 0.994315
  34. kc_width_percentage - 0.0291121
  35. volume_ema_diff - 1.15946
  36. volume_ema1 - 1523399.62368
  37. volume_ema2 - 705452.04171614
    38. ¸
  38. 5m
  39. ema9 - 2.45028
  40. ema21 - 2.44234
  41. ema50 - 2.44018
  42. ema100 - 2.45211
  43. price_ema9_diff - 0.0125352
  44. ema9_ema21_diff - 0.00325093
  45. ema21_ema50_diff - 0.000885435
  46. price_ema100_diff - 0.011778
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.761084
  50. adx - 0.30376
  51. kc_percentage - 1.28325
  52. kc_width_percentage - 0.0196774
  53. volume_ema_diff - 3.79333
  54. volume_ema1 - 1435097.9303658
  55. volume_ema2 - 299394.72283083
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 110374
  59. 5m_price_ema100_diff: 0.00706311
  60. 5m_price: 111154
  61. 5m_correlation_with_coin: 0.75987
  62. btc_indicators
  63. 15m_ema100: 111348
  64. 15m_price_ema100_diff: -0.00174975
  65. 15m_price: 111154
  66. btc_indicators
  67. 1H_ema100: 111513
  68. 1H_price_ema100_diff: -0.00322249
  69. 1H_price: 111154
    70. ¸

Short Trade on NEAR

The 29 Aug 2025 at 08:32:48

With 499.3761 NEAR at 2.481$ per unit.

Position size of 1238.9522 $

Take profit at 2.457 (0.97 %) and Stop Loss at 2.497 (0.64 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 11.43 %

Symbol Start at Seach Score Trade Score Trades Count
LDO 2025-08-29 08:34:17 0.9896 30 1
STX 2025-08-29 08:34:39 0.9875 30 1
IOTA 2025-08-29 08:33:16 0.9863 30 1
RENDER 2025-08-29 08:37:03 0.9859 30 1
ACH 2025-08-29 08:34:26 0.9835 30 1
JASMY 2025-08-29 08:34:10 0.9829 30 1
DYDX 2025-08-29 08:32:26 0.9813 30 1
ENS 2025-08-29 08:33:36 0.9808 30 1
ETC 2025-08-29 08:30:17 0.9808 -100 1
TURBO 2025-08-29 08:35:27 0.9784 30 1
EIGEN 2025-08-29 08:37:39 0.9779 30 1
PENGU 2025-08-29 08:38:39 0.9777 -100 1
DOGE 2025-08-29 08:41:15 0.9768 30 1
LTC 2025-08-29 08:40:31 0.9765 30 1

📌 Time Data

Start at Closed at Duration
29 Aug 2025
08:32:48		 29 Aug 2025
08:35:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.481 2.497 2.457 1.5 2.434
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 2.481
  • Stop Loss: 2.497
  • Take Profit: 2.457

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.497 - 2.481 = 0.016

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.481 - 2.457 = 0.024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.024 / 0.016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1238.9522 100 499.3761 12.39
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 2.481 = 1240.5

Donc, tu peux acheter 500 avec un stoploss a 2.497

Avec un position size USD de 1240.5$

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 1240.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.97 % 11.99 $
SL % Target SL $ Target
0.64 % 7.99 $
PNL PNL %
11.99 $ 0.97
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.449
            [stop_loss] => 2.497
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 09:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.441
            [stop_loss] => 2.497
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 09:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.433
            [stop_loss] => 2.497
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.425
            [stop_loss] => 2.497
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.417
            [stop_loss] => 2.497
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.409
            [stop_loss] => 2.497
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.401
            [stop_loss] => 2.497
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 13:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.073
            [max_drawdown] => 0.0010000000000003
            [rr_ratio] => 73
            [high] => 2.48200000
            [low] => 2.40800000
            [mfe_pct] => 2.94
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 73
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T08:32:48-04:00
            [end_at] => 2025-08-29T10:32:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.09
            [max_drawdown] => 0.0010000000000003
            [rr_ratio] => 90
            [high] => 2.48200000
            [low] => 2.39100000
            [mfe_pct] => 3.63
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 90
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T08:32:48-04:00
            [end_at] => 2025-08-29T15:32:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.51000000
            [high_after] => 2.48200000
            [low_before] => 2.39200000
            [low_after] => 2.39500000
            [is_new_high] => 
            [is_new_low] => 
        )

)