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Short Trade on NEAR

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Short Trade on NEAR 29 Aug 2025 at 17:43:13

Take profit at 2.4161 (0.69 %) and Stop Loss at 2.4442 (0.46 %)

Short Trade on NEAR

The 29 Aug 2025 at 17:43:13

With 711.5184 NEAR at 2.433$ per unit.

Position size of 1731.1242 $

Take profit at 2.4161 (0.69 %) and Stop Loss at 2.4442 (0.46 %)

That's a 1.51 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 70
ML Pullback Score: 4.04
Prediction Score: 2.1182
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
0 0.62
Prediction 3 Probability
0 0.84
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low
BTC Correlation Score

5m : 0.695259

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.007495707117
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 2.42322
  4. ema21 : 2.44538
  5. ema50 : 2.4732
  6. ema100 : 2.48087
  7. price_ema9_diff : 0.0040322
  8. ema9_ema21_diff : -0.00906007
  9. ema21_ema50_diff : -0.011247
  10. price_ema100_diff : -0.019296
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.453087
  14. adx : 0.19272
  15. kc_percentage : 0.422658
  16. kc_width_percentage : 0.0569387
  17. volume_ema_diff : -0.318483
  18. volume_ema1 : 1301204.0531495
  19. volume_ema2 : 1909276.1029408
    20. ¸
  20. 15m
  21. ema9 : 2.4114
  22. ema21 : 2.41471
  23. ema50 : 2.42956
  24. ema100 : 2.44926
  25. price_ema9_diff : 0.00895713
  26. ema9_ema21_diff : -0.00137375
  27. ema21_ema50_diff : -0.00611184
  28. price_ema100_diff : -0.00663919
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.51501
  32. adx : 0.274461
  33. kc_percentage : 0.823587
  34. kc_width_percentage : 0.0237926
  35. volume_ema_diff : -0.601389
  36. volume_ema1 : 200459.31059654
  37. volume_ema2 : 502895.50213388
    38. ¸
  38. 5m
  39. ema9 : 2.4174
  40. ema21 : 2.41239
  41. ema50 : 2.41347
  42. ema100 : 2.42218
  43. price_ema9_diff : 0.00644907
  44. ema9_ema21_diff : 0.00207786
  45. ema21_ema50_diff : -0.000445321
  46. price_ema100_diff : 0.00446521
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.705391
  50. adx : 0.20787
  51. kc_percentage : 1.19331
  52. kc_width_percentage : 0.0121135
  53. volume_ema_diff : -0.29664
  54. volume_ema1 : 73772.075275846
  55. volume_ema2 : 104885.35935696
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108506
  59. 5m_price_ema100_diff: 
    -0.00182643
  60. 5m_price: 
    108308
  61. 5m_correlation_with_coin: 
    0.695259
  62. btc_indicators
  63. 15m_ema100: 
    109723
  64. 15m_price_ema100_diff: 
    -0.0141927
  65. 15m_price: 
    108166
  66. btc_indicators
  67. 1H_ema100: 
    111057
  68. 1H_price_ema100_diff: 
    -0.0247512
  69. 1H_price: 
    108308
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
17:43:13		 29 Aug 2025
21:45:00		 4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.433 2.4442 2.4161 1.51 1.0918
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 2.433
  • Stop Loss: 2.4442
  • Take Profit: 2.4161

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.4442 - 2.433 = 0.0112

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.433 - 2.4161 = 0.0169

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0169 / 0.0112 = 1.5089

📌 Position Size

Amount Margin Quantity Leverage
1731.1242 100 711.5184 17.31
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 0.0112

Taille de position = 8 / 0.0112 = 714.29

Taille de position USD = 714.29 x 2.433 = 1737.87

Donc, tu peux acheter 714.29 avec un stoploss a 2.4442

Avec un position size USD de 1737.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 714.29 x 0.0112 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 714.29 x 0.0169 = 12.07

Si Take Profit atteint, tu gagneras 12.07$

Résumé

  • Taille de position 714.29
  • Taille de position USD 1737.87
  • Perte potentielle 8
  • Gain potentiel 12.07
  • Risk-Reward Ratio 1.5089

📌 Peformances

TP % Target TP $ Target
0.69 % 12.02 $
SL % Target SL $ Target
0.46 % 7.97 $
PNL PNL %
12.02 $ 0.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1644 % 35.72 % 16

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.4106
            [stop_loss] => 2.4442
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.405
            [stop_loss] => 2.4442
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.3994
            [stop_loss] => 2.4442
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.3938
            [stop_loss] => 2.4442
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.3882
            [stop_loss] => 2.4442
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.3826
            [stop_loss] => 2.4442
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.377
            [stop_loss] => 2.4442
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.3714
            [stop_loss] => 2.4442
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.3658
            [stop_loss] => 2.4442
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.3602
            [stop_loss] => 2.4442
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.3546
            [stop_loss] => 2.4442
            [rr_ratio] => 7
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.016
            [max_drawdown] => 0.004
            [rr_ratio] => 4
            [high] => 2.43700000
            [low] => 2.41700000
            [mfe_pct] => 0.66
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 4
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T17:43:13-04:00
            [end_at] => 2025-08-29T19:43:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.042
            [max_drawdown] => 0.03
            [rr_ratio] => 1.4
            [high] => 2.46300000
            [low] => 2.39100000
            [mfe_pct] => 1.73
            [mae_pct] => 1.23
            [mfe_mae_ratio] => 1.4
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T17:43:13-04:00
            [end_at] => 2025-08-30T00:43:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.43500000
            [high_after] => 2.46300000
            [low_before] => 2.38700000
            [low_after] => 2.39100000
            [is_new_high] => 
            [is_new_low] => 
        )

)