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Trade

sell - NEAR

Status
win
2025-06-13 12:19:38
15 minutes
PNL
1.19
Entry: 2.269
Last: 2.24200000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.1036
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.62
Prediction 3 Probability
n/a
ML Trade Score: 120
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.01220287832
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 2.24005
  4. ema21 - 2.27728
  5. ema50 - 2.37222
  6. ema100 - 2.43303
  7. price_ema9_diff - 0.0129198
  8. ema9_ema21_diff - -0.0163483
  9. ema21_ema50_diff - -0.0400191
  10. price_ema100_diff - -0.0674184
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.438985
  14. kc_percentage - 0.473808
  15. kc_width_percentage - 0.0727389
  16. volume_ema_diff - -0.199546
    17. ¸
  17. 15m
  18. ema9 - 2.24508
  19. ema21 - 2.23562
  20. ema50 - 2.245
  21. ema100 - 2.28702
  22. price_ema9_diff - 0.0106511
  23. ema9_ema21_diff - 0.00423368
  24. ema21_ema50_diff - -0.00418101
  25. price_ema100_diff - -0.00788178
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.612606
  29. kc_percentage - 0.875267
  30. kc_width_percentage - 0.0388749
  31. volume_ema_diff - -0.611211
    32. ¸
  32. 5m
  33. ema9 - 2.25183
  34. ema21 - 2.23985
  35. ema50 - 2.23136
  36. ema100 - 2.23118
  37. price_ema9_diff - 0.00762119
  38. ema9_ema21_diff - 0.00534805
  39. ema21_ema50_diff - 0.00380524
  40. price_ema100_diff - 0.0169486
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.65884
  44. kc_percentage - 1.06885
  45. kc_width_percentage - 0.022034
  46. volume_ema_diff - -0.35822
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104969
  50. 5m_price_ema100_diff: 0.00893252
  51. 5m_price: 105906
  52. 5m_correlation_with_coin: 0.788411
  53. btc_indicators
  54. 15m_ema100: 105306
  55. 15m_price_ema100_diff: 0.00570183
  56. 15m_price: 105906
  57. btc_indicators
  58. 1H_ema100: 107053
  59. 1H_price_ema100_diff: -0.0107115
  60. 1H_price: 105906
    61. ¸

Short Trade on NEAR

The 13 Jun 2025 at 12:19:38

With 437.0554 NEAR at 2.269$ per unit.

Position size of 991.6786 $

Take profit at 2.2415 (1.21 %) and Stop Loss at 2.2873 (0.81 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 21.54 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-06-13 12:19:20 0.9755 30 1
SEI 2025-06-13 12:13:55 0.9639 30 1
MELANIA 2025-06-13 12:17:27 0.9555 30 1
SUI 2025-06-13 12:13:24 0.954 30 1
INJ 2025-06-13 12:13:04 0.9533 30 1
ENS 2025-06-13 12:11:59 0.9467 40 1
APT 2025-06-13 12:11:44 0.9382 30 1
IO 2025-06-13 12:15:09 0.9375 30 1
MOCA 2025-06-13 12:15:49 0.9356 30 1
FIL 2025-06-13 12:10:23 0.9316 -100 1
LDO 2025-06-13 12:12:33 0.9302 40 1
STRK 2025-06-13 12:14:22 0.9282 30 1
HBAR 2025-06-13 12:12:52 0.924 30 1

📌 Time Data

Start at Closed at Duration
13 Jun 2025
12:19:38		 13 Jun 2025
12:35:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.269 2.2873 2.2415 1.5 2.671
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 2.269
  • Stop Loss: 2.2873
  • Take Profit: 2.2415

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2873 - 2.269 = 0.0183

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.269 - 2.2415 = 0.0275

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0275 / 0.0183 = 1.5027

📌 Position Size

Amount Margin Quantity Leverage
991.6786 100 437.0554 9.92
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 0.0183

Taille de position = 8 / 0.0183 = 437.16

Taille de position USD = 437.16 x 2.269 = 991.92

Donc, tu peux acheter 437.16 avec un stoploss a 2.2873

Avec un position size USD de 991.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 437.16 x 0.0183 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 437.16 x 0.0275 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position 437.16
  • Taille de position USD 991.92
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5027

📌 Peformances

TP % Target TP $ Target
1.21 % 12.02 $
SL % Target SL $ Target
0.81 % 8 $
PNL PNL %
11.8 $ 1.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.233
            [stop_loss] => 2.287
            [rr_ratio] => 2
            [closed_at] => 2025-06-13 12:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.224
            [stop_loss] => 2.287
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-13 13:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.215
            [stop_loss] => 2.287
            [rr_ratio] => 3
            [closed_at] => 2025-06-13 13:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.206
            [stop_loss] => 2.287
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-13 14:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.197
            [stop_loss] => 2.287
            [rr_ratio] => 4
            [closed_at] => 2025-06-13 14:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.188
            [stop_loss] => 2.287
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-13 15:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.179
            [stop_loss] => 2.287
            [rr_ratio] => 5
            [closed_at] => 2025-06-13 15:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.17
            [stop_loss] => 2.287
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-13 15:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.161
            [stop_loss] => 2.287
            [rr_ratio] => 6
            [closed_at] => 2025-06-13 15:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.06
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.26700000
            [low] => 2.20900000
            [mfe_pct] => 2.64
            [mae_pct] => -0.09
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-06-13T12:19:38-04:00
            [end_at] => 2025-06-13T14:19:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.111
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.26700000
            [low] => 2.15800000
            [mfe_pct] => 4.89
            [mae_pct] => -0.09
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-06-13T12:19:38-04:00
            [end_at] => 2025-06-13T18:19:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.27700000
            [high_after] => 2.26700000
            [low_before] => 2.18200000
            [low_after] => 2.15800000
            [is_new_high] => 
            [is_new_low] => 1
        )

)