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Trade

buy - NEAR

Status
win
2025-05-22 09:08:08
56 minutes
PNL
1.04
Entry: 2.974
Last: 3.00500000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.282
Prediction 1 Probability
Strong Trade
0.62
Prediction 2 Probability
1 0.41
Prediction 3 Probability
n/a
ML Trade Score: 120
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.01382956359
Details
  1. score: 2.11
  2. 1H
  3. ema9 - 2.97656
  4. ema21 - 2.92846
  5. ema50 - 2.86724
  6. ema100 - 2.82722
  7. price_ema9_diff - -0.000861077
  8. ema9_ema21_diff - 0.0164244
  9. ema21_ema50_diff - 0.0213528
  10. price_ema100_diff - 0.0519139
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.586391
  14. kc_percentage - 0.706971
  15. kc_width_percentage - 0.0686029
    16. ¸
  16. 15m
  17. ema9 - 3.00943
  18. ema21 - 3.0017
  19. ema50 - 2.96466
  20. ema100 - 2.92086
  21. price_ema9_diff - -0.011774
  22. ema9_ema21_diff - 0.00257516
  23. ema21_ema50_diff - 0.0124922
  24. price_ema100_diff - 0.0181926
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.44083
  28. kc_percentage - 0.208868
  29. kc_width_percentage - 0.0333423
    30. ¸
  30. 5m
  31. ema9 - 2.99999
  32. ema21 - 3.00923
  33. ema50 - 3.0069
  34. ema100 - 2.99204
  35. price_ema9_diff - -0.0086658
  36. ema9_ema21_diff - -0.00307094
  37. ema21_ema50_diff - 0.000775462
  38. price_ema100_diff - -0.00602974
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.326811
  42. kc_percentage - -0.114712
  43. kc_width_percentage - 0.0190946
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 110977
  47. 5m_price_ema100_diff: 0.00294893
  48. 5m_price: 111304
  49. 5m_correlation_with_coin: 0.67504
  50. btc_indicators
  51. 15m_ema100: 109691
  52. 15m_price_ema100_diff: 0.0147018
  53. 15m_price: 111304
  54. btc_indicators
  55. 1H_ema100: 107029
  56. 1H_price_ema100_diff: 0.0399418
  57. 1H_price: 111304
    58. ¸

Long Trade on NEAR

The 22 May 2025 at 09:08:08

With 385.6473 NEAR at 2.974$ per unit.

Position size of 1146.915 $

Take profit at 3.0051 (1.05 %) and Stop Loss at 2.9533 (0.7 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 15 %

Symbol Start at Seach Score Trade Score Trades Count
XLM 2025-05-22 09:07:50 0.9763 40 1
OP 2025-05-22 09:08:32 0.9742 40 1
THETA 2025-07-20 16:10:00 0.9725 30 1
CAKE 2025-07-28 01:39:08 0.9707 30 2
VVV 2025-08-15 11:33:44 0.9694 30 1
KAIA 2025-07-11 02:52:59 0.9685 30 1
ALGO 2025-07-11 03:00:38 0.966 -35 2
JUP 2025-05-26 06:49:59 0.9633 40 2
LUMIA 2025-05-07 00:01:45 0.9631 30 1
SAND 2025-07-20 16:11:49 0.9624 30 1
ADA 2025-07-21 12:23:02 0.9623 -100 1

📌 Time Data

Start at Closed at Duration
22 May 2025
09:08:08		 22 May 2025
10:05:00		 56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.974 2.9533 3.0051 1.5 2.514
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 2.974
  • Stop Loss: 2.9533
  • Take Profit: 3.0051

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.9533 - 2.974 = -0.0207

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.974 - 3.0051 = -0.0311

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0311 / -0.0207 = 1.5024

📌 Position Size

Amount Margin Quantity Leverage
1146.915 100 385.6473 11.47
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 -0.0207

Taille de position = 8 / -0.0207 = -386.47

Taille de position USD = -386.47 x 2.974 = -1149.36

Donc, tu peux acheter -386.47 avec un stoploss a 2.9533

Avec un position size USD de -1149.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -386.47 x -0.0207 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -386.47 x -0.0311 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position -386.47
  • Taille de position USD -1149.36
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5024

📌 Peformances

TP % Target TP $ Target
1.05 % 11.99 $
SL % Target SL $ Target
0.7 % 7.98 $
PNL PNL %
11.96 $ 1.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.23537323470074 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.016
            [stop_loss] => 2.953
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 10:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.0265
            [stop_loss] => 2.953
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 10:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.037
            [stop_loss] => 2.953
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 10:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.0475
            [stop_loss] => 2.953
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 10:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.058
            [stop_loss] => 2.953
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 10:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.0685
            [stop_loss] => 2.953
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 11:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.079
            [stop_loss] => 2.953
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 11:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.0895
            [stop_loss] => 2.953
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-22 11:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 3.1
            [stop_loss] => 2.953
            [rr_ratio] => 6
            [closed_at] => 2025-05-22 11:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.089
            [max_drawdown] => 0.0070000000000001
            [rr_ratio] => 12.71
            [high] => 3.06300000
            [low] => 2.96700000
            [mfe_pct] => 2.99
            [mae_pct] => 0.24
            [mfe_mae_ratio] => 12.71
            [candles_analyzed] => 24
            [start_at] => 2025-05-22T09:08:08-04:00
            [end_at] => 2025-05-22T11:08:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.129
            [max_drawdown] => 0.0070000000000001
            [rr_ratio] => 18.43
            [high] => 3.10300000
            [low] => 2.96700000
            [mfe_pct] => 4.34
            [mae_pct] => 0.24
            [mfe_mae_ratio] => 18.43
            [candles_analyzed] => 72
            [start_at] => 2025-05-22T09:08:08-04:00
            [end_at] => 2025-05-22T15:08:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.05500000
            [high_after] => 3.10300000
            [low_before] => 2.96800000
            [low_after] => 2.96700000
            [is_new_high] => 1
            [is_new_low] => 
        )

)