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Trade

sell - NEAR

Status
win
2025-05-25 15:57:09
7 minutes
PNL
0.56
Entry: 2.702
Last: 2.68700000

Results

Status:
win
Trade Type:
sell
Prediction Score: -5.6769
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.5
Prediction 3 Probability
n/a
ML Trade Score: 60
ML Pullback Score: 4.13

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.3
  4. atr: 0.006734894305
Details
  1. score: 1.3
  2. 1H
  3. ema9 - 2.68965
  4. ema21 - 2.71908
  5. ema50 - 2.78246
  6. ema100 - 2.84064
  7. price_ema9_diff - 0.00458917
  8. ema9_ema21_diff - -0.0108214
  9. ema21_ema50_diff - -0.0227794
  10. price_ema100_diff - -0.0488084
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.418656
  14. kc_percentage - 0.388943
  15. kc_width_percentage - 0.0486681
    16. ¸
  16. 15m
  17. ema9 - 2.67995
  18. ema21 - 2.6787
  19. ema50 - 2.69463
  20. ema100 - 2.71888
  21. price_ema9_diff - 0.00822728
  22. ema9_ema21_diff - 0.000465292
  23. ema21_ema50_diff - -0.00591353
  24. price_ema100_diff - -0.00621059
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.588937
  28. kc_percentage - 0.897533
  29. kc_width_percentage - 0.0219681
    30. ¸
  30. 5m
  31. ema9 - 2.68732
  32. ema21 - 2.68028
  33. ema50 - 2.67645
  34. ema100 - 2.67854
  35. price_ema9_diff - 0.00546107
  36. ema9_ema21_diff - 0.00262714
  37. ema21_ema50_diff - 0.00142974
  38. price_ema100_diff - 0.0087568
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.721655
  42. kc_percentage - 1.30017
  43. kc_width_percentage - 0.0098661
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 107282
  47. 5m_price_ema100_diff: 0.00347704
  48. 5m_price: 107655
  49. 5m_correlation_with_coin: 0.77899
  50. btc_indicators
  51. 15m_ema100: 107676
  52. 15m_price_ema100_diff: -0.000196903
  53. 15m_price: 107655
  54. btc_indicators
  55. 1H_ema100: 108630
  56. 1H_price_ema100_diff: -0.00897519
  57. 1H_price: 107655
    58. ¸

Short Trade on NEAR

The 25 May 2025 at 15:57:09

With 791.8956 NEAR at 2.702$ per unit.

Position size of 2139.702 $

Take profit at 2.6868 (0.56 %) and Stop Loss at 2.7121 (0.37 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 2.17 %

Symbol Start at Seach Score Trade Score Trades Count
IO 2025-05-25 15:57:36 0.9753 -13.33 3
DOT 2025-05-25 15:56:34 0.9786 50 1
PEPE 2025-05-25 15:58:07 0.9749 50 1
FET 2025-05-25 15:57:41 0.9749 50 1
1000BONK 2025-05-25 15:54:16 0.972 -35 2
PNUT 2025-05-25 15:51:51 0.9738 -100 1
AI16Z 2025-05-25 15:59:53 0.9712 -100 1
TURBO 2025-05-25 15:58:14 0.9703 30 1
ONDO 2025-05-25 15:58:46 0.9691 40 1
BCH 2025-05-25 15:56:14 0.9687 50 1

📌 Time Data

Start at Closed at Duration
25 May 2025
15:57:09		 25 May 2025
16:05:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.702 2.7121 2.6868 1.5 2.507
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 2.702
  • Stop Loss: 2.7121
  • Take Profit: 2.6868

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.7121 - 2.702 = 0.0101

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.702 - 2.6868 = 0.0152

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0152 / 0.0101 = 1.505

📌 Position Size

Amount Margin Quantity Leverage
2139.702 100 791.8956 21.40
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 0.0101

Taille de position = 8 / 0.0101 = 792.08

Taille de position USD = 792.08 x 2.702 = 2140.2

Donc, tu peux acheter 792.08 avec un stoploss a 2.7121

Avec un position size USD de 2140.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 792.08 x 0.0101 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 792.08 x 0.0152 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

  • Taille de position 792.08
  • Taille de position USD 2140.2
  • Perte potentielle 8
  • Gain potentiel 12.04
  • Risk-Reward Ratio 1.505

📌 Peformances

TP % Target TP $ Target
0.56 % 12.04 $
SL % Target SL $ Target
0.37 % 8 $
PNL PNL %
11.88 $ 0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.682
            [stop_loss] => 2.712
            [rr_ratio] => 2
            [closed_at] => 2025-05-25 16:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.677
            [stop_loss] => 2.712
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-25 16:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.672
            [stop_loss] => 2.712
            [rr_ratio] => 3
            [closed_at] => 2025-05-25 17:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.667
            [stop_loss] => 2.712
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.662
            [stop_loss] => 2.712
            [rr_ratio] => 4
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.657
            [stop_loss] => 2.712
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.652
            [stop_loss] => 2.712
            [rr_ratio] => 5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.647
            [stop_loss] => 2.712
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.642
            [stop_loss] => 2.712
            [rr_ratio] => 6
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.637
            [stop_loss] => 2.712
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.632
            [stop_loss] => 2.712
            [rr_ratio] => 7
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.032
            [max_drawdown] => 0.00099999999999989
            [rr_ratio] => 32
            [high] => 2.70300000
            [low] => 2.67000000
            [mfe_pct] => 1.18
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 32
            [candles_analyzed] => 24
            [start_at] => 2025-05-25T15:57:09-04:00
            [end_at] => 2025-05-25T17:57:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.032
            [max_drawdown] => 0.143
            [rr_ratio] => 0.22
            [high] => 2.84500000
            [low] => 2.67000000
            [mfe_pct] => 1.18
            [mae_pct] => 5.29
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 72
            [start_at] => 2025-05-25T15:57:09-04:00
            [end_at] => 2025-05-25T21:57:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.70500000
            [high_after] => 2.84500000
            [low_before] => 2.64800000
            [low_after] => 2.67000000
            [is_new_high] => 
            [is_new_low] => 
        )

)