Trade

sell - NEAR

Status
win
2025-06-13 12:11:06
23 minutes
PNL
1.11
Entry: 2.261
Last: 2.23600000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.1036
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
0 0.59
Prediction 3 Probability
n/a
ML Trade Score: 120
ML Pullback Score: 7.59

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.01120680147
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 2.23845
  4. ema21 - 2.27656
  5. ema50 - 2.3719
  6. ema100 - 2.43287
  7. price_ema9_diff - 0.0100699
  8. ema9_ema21_diff - -0.0167369
  9. ema21_ema50_diff - -0.0401987
  10. price_ema100_diff - -0.070646
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.422681
  14. kc_percentage - 0.427127
  15. kc_width_percentage - 0.0701656
  16. volume_ema_diff - -0.218916
  17. ¸
  18. 15m
  19. ema9 - 2.2371
  20. ema21 - 2.23137
  21. ema50 - 2.24358
  22. ema100 - 2.28677
  23. price_ema9_diff - 0.0106794
  24. ema9_ema21_diff - 0.00256964
  25. ema21_ema50_diff - -0.00543995
  26. price_ema100_diff - -0.0112725
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.596917
  30. kc_percentage - 0.839574
  31. kc_width_percentage - 0.0384723
  32. volume_ema_diff - -0.542698
  33. ¸
  34. 5m
  35. ema9 - 2.24554
  36. ema21 - 2.23603
  37. ema50 - 2.22942
  38. ema100 - 2.23008
  39. price_ema9_diff - 0.00688122
  40. ema9_ema21_diff - 0.00425382
  41. ema21_ema50_diff - 0.00296707
  42. price_ema100_diff - 0.0138629
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.640126
  46. kc_percentage - 1.04766
  47. kc_width_percentage - 0.0196939
  48. volume_ema_diff - -0.441858
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 104931
  53. 5m_price_ema100_diff: 0.00506245
  54. 5m_price: 105462
  55. 5m_correlation_with_coin: 0.76717
  56. btc_indicators
  57. 15m_ema100: 105258
  58. 15m_price_ema100_diff: 0.00194308
  59. 15m_price: 105462
  60. btc_indicators
  61. 1H_ema100: 107044
  62. 1H_price_ema100_diff: -0.0147799
  63. 1H_price: 105462
  64. ¸

Short Trade on NEAR

The 13 Jun 2025 at 12:11:06

With 475.9015 NEAR at 2.261$ per unit.

Position size of 1076.0132 $

Take profit at 2.2358 (1.11 %) and Stop Loss at 2.2778 (0.74 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 11.54 %

Symbol Start at Seach Score Trade Score Trades Count
SEI 2025-06-13 12:13:55 0.9844 30 1
INJ 2025-06-13 12:13:04 0.9769 30 1
ENS 2025-06-13 12:11:59 0.9666 40 1
SUI 2025-06-13 12:13:24 0.9654 30 1
APT 2025-06-13 12:11:44 0.9631 30 1
FIL 2025-06-13 12:10:23 0.9587 -100 1
AVAX 2025-06-13 12:19:20 0.9568 30 1
STRK 2025-06-13 12:14:22 0.9501 30 1
HBAR 2025-06-13 12:12:52 0.9436 30 1
LDO 2025-06-13 12:12:33 0.9413 40 1
MELANIA 2025-06-13 12:17:27 0.934 30 1
ATOM 2025-06-13 12:10:41 0.9301 -100 1
MOCA 2025-06-13 12:15:49 0.9277 30 1

📌 Time Data

Start at Closed at Duration
13 Jun 2025
12:11:06
13 Jun 2025
12:35:00
23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.261 2.2778 2.2358 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 2.261
  • Stop Loss: 2.2778
  • Take Profit: 2.2358

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2778 - 2.261 = 0.0168

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.261 - 2.2358 = 0.0252

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0252 / 0.0168 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1076.0132 100 475.9015 10.76
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 0.0168

Taille de position = 8 / 0.0168 = 476.19

Taille de position USD = 476.19 x 2.261 = 1076.67

Donc, tu peux acheter 476.19 avec un stoploss a 2.2778

Avec un position size USD de 1076.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 476.19 x 0.0168 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 476.19 x 0.0252 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 476.19
  • Taille de position USD 1076.67
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.11 % 11.99 $
SL % Target SL $ Target
0.74 % 8 $
PNL PNL %
11.9 $ 1.11
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7077 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.227
            [stop_loss] => 2.278
            [rr_ratio] => 2
            [closed_at] => 2025-06-13 13:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.2185
            [stop_loss] => 2.278
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-13 13:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.21
            [stop_loss] => 2.278
            [rr_ratio] => 3
            [closed_at] => 2025-06-13 14:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.2015
            [stop_loss] => 2.278
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-13 14:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.193
            [stop_loss] => 2.278
            [rr_ratio] => 4
            [closed_at] => 2025-06-13 14:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.1845
            [stop_loss] => 2.278
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-13 15:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.176
            [stop_loss] => 2.278
            [rr_ratio] => 5
            [closed_at] => 2025-06-13 15:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.1675
            [stop_loss] => 2.278
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-13 15:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.159
            [stop_loss] => 2.278
            [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] => 0.046
            [max_drawdown] => 0.016
            [rr_ratio] => 2.88
            [high] => 2.27700000
            [low] => 2.21500000
            [mfe_pct] => 2.03
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 2.88
            [candles_analyzed] => 24
            [start_at] => 2025-06-13T12:11:06-04:00
            [end_at] => 2025-06-13T14:11:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.103
            [max_drawdown] => 0.016
            [rr_ratio] => 6.44
            [high] => 2.27700000
            [low] => 2.15800000
            [mfe_pct] => 4.56
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 6.44
            [candles_analyzed] => 72
            [start_at] => 2025-06-13T12:11:06-04:00
            [end_at] => 2025-06-13T18:11:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.27300000
            [high_after] => 2.27700000
            [low_before] => 2.18200000
            [low_after] => 2.15800000
            [is_new_high] => 
            [is_new_low] => 1
        )

)