Trade

sell - NEAR

Status
win
2025-07-05 07:53:17
1 minute
PNL
0.33
Entry: 2.139
Last: 2.13200000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.5806
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.45
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 6

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.003114376442
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 2.13006
  4. ema21 - 2.13996
  5. ema50 - 2.16598
  6. ema100 - 2.16596
  7. price_ema9_diff - 0.00419558
  8. ema9_ema21_diff - -0.00462885
  9. ema21_ema50_diff - -0.0120104
  10. price_ema100_diff - -0.0124499
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.471435
  14. kc_percentage - 0.503306
  15. kc_width_percentage - 0.0365726
  16. volume_ema_diff - -0.465851
  17. volume_ema1 - 325206.36419104
  18. volume_ema2 - 608830.8865193
  19. ¸
  20. 15m
  21. ema9 - 2.13147
  22. ema21 - 2.12855
  23. ema50 - 2.12913
  24. ema100 - 2.13665
  25. price_ema9_diff - 0.00352839
  26. ema9_ema21_diff - 0.00137429
  27. ema21_ema50_diff - -0.000271346
  28. price_ema100_diff - 0.00109845
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.582286
  32. kc_percentage - 0.868913
  33. kc_width_percentage - 0.0131156
  34. volume_ema_diff - -0.0810335
  35. volume_ema1 - 83516.571995535
  36. volume_ema2 - 90880.982348636
  37. ¸
  38. 5m
  39. ema9 - 2.13556
  40. ema21 - 2.13138
  41. ema50 - 2.12835
  42. ema100 - 2.12827
  43. price_ema9_diff - 0.00160705
  44. ema9_ema21_diff - 0.00196279
  45. ema21_ema50_diff - 0.001423
  46. price_ema100_diff - 0.00504162
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.65177
  50. kc_percentage - 1.11868
  51. kc_width_percentage - 0.00557693
  52. volume_ema_diff - -0.120786
  53. volume_ema1 - 25381.807995882
  54. volume_ema2 - 28868.778778826
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108056
  59. 5m_price_ema100_diff: 0.000762762
  60. 5m_price: 108138
  61. 5m_correlation_with_coin: 0.655146
  62. btc_indicators
  63. 15m_ema100: 108128
  64. 15m_price_ema100_diff: 0.000193916
  65. 15m_price: 108149
  66. btc_indicators
  67. 1H_ema100: 108090
  68. 1H_price_ema100_diff: 0.000442068
  69. 1H_price: 108138
  70. ¸

Short Trade on NEAR

The 05 Jul 2025 at 07:53:17

With 1712.4883 NEAR at 2.139$ per unit.

Position size of 3663.0126 $

Take profit at 2.132 (0.33 %) and Stop Loss at 2.1437 (0.22 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -32.92 %

Symbol Start at Seach Score Trade Score Trades Count
ENA 2025-07-05 07:42:59 0.8349 40 2
SWEAT 2025-06-15 23:33:52 0.6896 -100 2
ZEN 2025-06-01 14:40:52 0.6869 30 2
TURBO 2025-06-07 12:31:48 0.6879 -100 1
ETHFI 2025-07-05 07:39:52 0.6786 80 1
BCH 2025-04-10 03:36:21 0.6751 -13.33 3
KAITO 2025-05-11 03:02:39 0.6771 -100 1
ALT 2025-06-16 18:46:54 0.6745 -100 1

📌 Time Data

Start at Closed at Duration
05 Jul 2025
07:53:17
05 Jul 2025
07:55:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.139 2.1437 2.132 1.49 2.859
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 2.139
  • Stop Loss: 2.1437
  • Take Profit: 2.132

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1437 - 2.139 = 0.0047000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.139 - 2.132 = 0.0069999999999997

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0069999999999997 / 0.0047000000000001 = 1.4894

📌 Position Size

Amount Margin Quantity Leverage
3663.0126 100 1712.4883 36.63
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 0.0047000000000001

Taille de position = 8 / 0.0047000000000001 = 1702.13

Taille de position USD = 1702.13 x 2.139 = 3640.86

Donc, tu peux acheter 1702.13 avec un stoploss a 2.1437

Avec un position size USD de 3640.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1702.13 x 0.0047000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1702.13 x 0.0069999999999997 = 11.91

Si Take Profit atteint, tu gagneras 11.91$

Résumé

  • Taille de position 1702.13
  • Taille de position USD 3640.86
  • Perte potentielle 8
  • Gain potentiel 11.91
  • Risk-Reward Ratio 1.4894

📌 Peformances

TP % Target TP $ Target
0.33 % 11.99 $
SL % Target SL $ Target
0.22 % 8.05 $
PNL PNL %
11.99 $ 0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.129
            [stop_loss] => 2.144
            [rr_ratio] => 2
            [closed_at] => 2025-07-05 08:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.1265
            [stop_loss] => 2.144
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-05 08:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.124
            [stop_loss] => 2.144
            [rr_ratio] => 3
            [closed_at] => 2025-07-05 08:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.1215
            [stop_loss] => 2.144
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-05 08:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.119
            [stop_loss] => 2.144
            [rr_ratio] => 4
            [closed_at] => 2025-07-05 08:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.1165
            [stop_loss] => 2.144
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-05 08:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.114
            [stop_loss] => 2.144
            [rr_ratio] => 5
            [closed_at] => 2025-07-05 08:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.11315
            [stop_loss] => 2.1437
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-05 08:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.027
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.13500000
            [low] => 2.11200000
            [mfe_pct] => 1.26
            [mae_pct] => -0.19
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-07-05T07:53:17-04:00
            [end_at] => 2025-07-05T09:53:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.027
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.13600000
            [low] => 2.11200000
            [mfe_pct] => 1.26
            [mae_pct] => -0.14
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-07-05T07:53:17-04:00
            [end_at] => 2025-07-05T13:53:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.14200000
            [high_after] => 2.13600000
            [low_before] => 2.11100000
            [low_after] => 2.11200000
            [is_new_high] => 
            [is_new_low] => 
        )

)