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Trade

sell - NEAR

Status
win
2025-05-13 05:53:59
6 minutes
PNL
0.93
Entry: 3.115
Last: 3.08600000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.65
Prediction 3 Probability
n/a
ML Trade Score: 50
ML Pullback Score: 4.49

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.01271213455
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 3.08854
  4. ema21 - 3.11617
  5. ema50 - 3.12913
  6. ema100 - 3.08287
  7. price_ema9_diff - 0.0085654
  8. ema9_ema21_diff - -0.0088672
  9. ema21_ema50_diff - -0.00414231
  10. price_ema100_diff - 0.0104197
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.489209
  14. kc_percentage - 0.502611
  15. kc_width_percentage - 0.0811422
    16. ¸
  16. 15m
  17. ema9 - 3.08467
  18. ema21 - 3.07782
  19. ema50 - 3.09653
  20. ema100 - 3.13392
  21. price_ema9_diff - 0.00983158
  22. ema9_ema21_diff - 0.0022254
  23. ema21_ema50_diff - -0.00604118
  24. price_ema100_diff - -0.00603778
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.618281
  28. kc_percentage - 0.908331
  29. kc_width_percentage - 0.0293144
    30. ¸
  30. 5m
  31. ema9 - 3.09971
  32. ema21 - 3.08527
  33. ema50 - 3.07441
  34. ema100 - 3.06932
  35. price_ema9_diff - 0.00493099
  36. ema9_ema21_diff - 0.00467954
  37. ema21_ema50_diff - 0.00353372
  38. price_ema100_diff - 0.0148809
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.678252
  42. kc_percentage - 1.06806
  43. kc_width_percentage - 0.0163499
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102580
  47. 5m_price_ema100_diff: 0.00839274
  48. 5m_price: 103441
  49. 5m_correlation_with_coin: 0.81311
  50. btc_indicators
  51. 15m_ema100: 102852
  52. 15m_price_ema100_diff: 0.00572744
  53. 15m_price: 103441
  54. btc_indicators
  55. 1H_ema100: 103312
  56. 1H_price_ema100_diff: 0.00124255
  57. 1H_price: 103441
    58. ¸

Short Trade on NEAR

The 13 May 2025 at 05:53:59

With 419.5466 NEAR at 3.115$ per unit.

Position size of 1306.8878 $

Take profit at 3.0864 (0.92 %) and Stop Loss at 3.1341 (0.61 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -16.67 %

Symbol Start at Seach Score Trade Score Trades Count
UNI 2025-05-13 05:42:34 0.9259 33.33 3
ICP 2025-05-13 05:53:33 0.9363 30 1
LISTA 2025-05-13 05:48:32 0.9219 30 3
BCH 2025-05-13 05:52:55 0.9356 60 1
DOGE 2025-05-13 05:53:11 0.9333 -100 1
GALA 2025-05-13 05:53:51 0.9258 40 1
ADA 2025-05-13 05:40:58 0.9197 -100 1
BNB 2025-05-13 05:53:20 0.9196 40 1
TAO 2025-08-05 19:08:35 0.9055 -100 1
RAY 2025-08-05 19:08:41 0.8979 -100 1

📌 Time Data

Start at Closed at Duration
13 May 2025
05:53:59		 13 May 2025
06:00:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.115 3.1341 3.0864 1.5 2.669
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 3.115
  • Stop Loss: 3.1341
  • Take Profit: 3.0864

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.1341 - 3.115 = 0.0191

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.115 - 3.0864 = 0.0286

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0286 / 0.0191 = 1.4974

📌 Position Size

Amount Margin Quantity Leverage
1306.8878 100 419.5466 13.07
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 0.0191

Taille de position = 8 / 0.0191 = 418.85

Taille de position USD = 418.85 x 3.115 = 1304.72

Donc, tu peux acheter 418.85 avec un stoploss a 3.1341

Avec un position size USD de 1304.72$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 418.85 x 0.0191 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 418.85 x 0.0286 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

  • Taille de position 418.85
  • Taille de position USD 1304.72
  • Perte potentielle 8
  • Gain potentiel 11.98
  • Risk-Reward Ratio 1.4974

📌 Peformances

TP % Target TP $ Target
0.92 % 12 $
SL % Target SL $ Target
0.61 % 8.01 $
PNL PNL %
12.17 $ 0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.077
            [stop_loss] => 3.134
            [rr_ratio] => 2
            [closed_at] => 2025-05-13 06:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.0675
            [stop_loss] => 3.134
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-13 06:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.058
            [stop_loss] => 3.134
            [rr_ratio] => 3
            [closed_at] => 2025-05-13 08:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 3.0485
            [stop_loss] => 3.134
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-13 08:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 3.039
            [stop_loss] => 3.134
            [rr_ratio] => 4
            [closed_at] => 2025-05-13 08:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.0295
            [stop_loss] => 3.134
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-13 08:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.02
            [stop_loss] => 3.134
            [rr_ratio] => 5
            [closed_at] => 2025-05-13 08:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.0105
            [stop_loss] => 3.134
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-13 08:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.001
            [stop_loss] => 3.134
            [rr_ratio] => 6
            [closed_at] => 2025-05-13 08:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.9915
            [stop_loss] => 3.134
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-13 08:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.982
            [stop_loss] => 3.134
            [rr_ratio] => 7
            [closed_at] => 2025-05-13 08:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.051
            [max_drawdown] => 0.0089999999999999
            [rr_ratio] => 5.67
            [high] => 3.12400000
            [low] => 3.06400000
            [mfe_pct] => 1.64
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 5.67
            [candles_analyzed] => 24
            [start_at] => 2025-05-13T05:53:59-04:00
            [end_at] => 2025-05-13T07:53:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.051
            [max_drawdown] => 0.063
            [rr_ratio] => 0.81
            [high] => 3.17800000
            [low] => 3.06400000
            [mfe_pct] => 1.64
            [mae_pct] => 2.02
            [mfe_mae_ratio] => 0.81
            [candles_analyzed] => 72
            [start_at] => 2025-05-13T05:53:59-04:00
            [end_at] => 2025-05-13T11:53:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.11600000
            [high_after] => 3.17800000
            [low_before] => 3.03400000
            [low_after] => 3.06400000
            [is_new_high] => 
            [is_new_low] => 
        )

)