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Trade

buy - NMR

Status
loss
2025-05-30 12:03:45
6 hours
PNL
-3.97
Entry: 9.97
Last: 9.57400000

Results

Status:
loss
Trade Type:
buy
Prediction Score: 1.0722
Prediction 1 Accuracy
Strong Trade
0.57
Prediction 2 Accuracy
1 0.48
ML Trade Score: -100
ML Pullback Score: 1.43

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.2638734619
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 10.1767
  4. ema21 - 9.52023
  5. ema50 - 9.05198
  6. ema100 - 8.87449
  7. price_ema9_diff - -0.0203175
  8. ema9_ema21_diff - 0.0689617
  9. ema21_ema50_diff - 0.0517283
  10. price_ema100_diff - 0.123444
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.576513
  14. kc_percentage - 0.651866
  15. kc_width_percentage - 0.273677
    16. ¸
  16. 15m
  17. ema9 - 10.562
  18. ema21 - 10.552
  19. ema50 - 9.93622
  20. ema100 - 9.3879
  21. price_ema9_diff - -0.0560525
  22. ema9_ema21_diff - 0.000948969
  23. ema21_ema50_diff - 0.0619747
  24. price_ema100_diff - 0.0620051
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.41985
  28. kc_percentage - 0.195029
  29. kc_width_percentage - 0.197442
    30. ¸
  30. 5m
  31. ema9 - 10.3375
  32. ema21 - 10.5521
  33. ema50 - 10.6522
  34. ema100 - 10.2777
  35. price_ema9_diff - -0.0355517
  36. ema9_ema21_diff - -0.0203405
  37. ema21_ema50_diff - -0.00939523
  38. price_ema100_diff - -0.0299434
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.321265
  42. kc_percentage - -0.0517916
  43. kc_width_percentage - 0.103221
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105436
  47. 5m_price_ema100_diff: -0.000824835
  48. 5m_price: 105350
  49. 5m_correlation_with_coin: -0.067729
  50. btc_indicators
  51. 15m_ema100: 105926
  52. 15m_price_ema100_diff: -0.00543846
  53. 15m_price: 105350
  54. btc_indicators
  55. 1H_ema100: 107510
  56. 1H_price_ema100_diff: -0.0200957
  57. 1H_price: 105350
    58. ¸

Long Trade on NMR

The 30 May 2025 at 12:03:45

With 20.2117 NMR at 9.97$ per unit.

Position size of 201.5107 $

Take profit at 10.5637 (5.95 %) and Stop Loss at 9.5742 (3.97 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -78.33 %

Symbol Start at Seach Score Trade Score Trades Count
COW 2025-05-29 03:14:33 0.9725 -100 2
GOAT 2025-05-23 00:59:34 0.9728 -100 4
DOGE 2025-04-09 20:04:18 0.9733 -100 1
BCH 2025-04-09 20:02:42 0.971 -35 2
HIPPO 2025-06-23 22:10:02 0.9699 30 1
ADA 2025-04-09 20:01:20 0.9698 -100 1
BOME 2025-07-16 18:54:38 0.9695 -100 1
RARE 2025-04-03 09:22:26 0.9686 -100 1
LINK 2025-04-09 20:14:43 0.9685 -100 1

📌 Time Data

Start at Closed at Duration
30 May 2025
12:03:45		 30 May 2025
19:00:00		 6 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.97 9.5742 10.5637 1.5 8.848
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 9.97
  • Stop Loss: 9.5742
  • Take Profit: 10.5637

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.5742 - 9.97 = -0.3958

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.97 - 10.5637 = -0.5937

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.5937 / -0.3958 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
201.5107 100 20.2117 2.02
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 -0.3958

Taille de position = 8 / -0.3958 = -20.21

Taille de position USD = -20.21 x 9.97 = -201.49

Donc, tu peux acheter -20.21 avec un stoploss a 9.5742

Avec un position size USD de -201.49$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -20.21 x -0.3958 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -20.21 x -0.5937 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -20.21
  • Taille de position USD -201.49
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
5.95 % 12 $
SL % Target SL $ Target
3.97 % 8 $
PNL PNL %
-8 $ -3.97
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.2026078234704 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.364
            [max_drawdown] => 0.356
            [rr_ratio] => 1.02
            [high] => 10.33400000
            [low] => 9.61400000
            [mfe_pct] => 3.65
            [mae_pct] => 3.57
            [mfe_mae_ratio] => 1.02
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T12:03:45-04:00
            [end_at] => 2025-05-30T14:03:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.364
            [max_drawdown] => 0.356
            [rr_ratio] => 1.02
            [high] => 10.33400000
            [low] => 9.61400000
            [mfe_pct] => 3.65
            [mae_pct] => 3.57
            [mfe_mae_ratio] => 1.02
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T12:03:45-04:00
            [end_at] => 2025-05-30T18:03:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 12.02900000
            [high_after] => 10.33400000
            [low_before] => 9.85700000
            [low_after] => 9.61400000
            [is_new_high] => 
            [is_new_low] => 
        )

)