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Trade

buy - ZRO

Status
win
2025-05-10 20:31:56
2 hours
PNL
1.88
Entry: 3.025
Last: 3.08200000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1
Prediction 1 Probability
Strong Trade
n/a
Prediction 2 Probability
1 n/a
Prediction 3 Probability
n/a
ML Trade Score: 30
ML Pullback Score: 2.7

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.02537606079
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 3.02919
  4. ema21 - 2.99958
  5. ema50 - 2.9174
  6. price_ema9_diff - -0.00139787
  7. ema9_ema21_diff - 0.00987049
  8. ema21_ema50_diff - 0.0281695
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.546081
  12. kc_percentage - 0.591285
  13. kc_width_percentage - 0.0840854
    14. ¸
  14. 15m
  15. ema9 - 3.06344
  16. ema21 - 3.04518
  17. ema50 - 3.01536
  18. price_ema9_diff - -0.0126235
  19. ema9_ema21_diff - 0.00599583
  20. ema21_ema50_diff - 0.00988716
  21. all_emas_in_trend - True
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.4755
  24. kc_percentage - 0.33595
  25. kc_width_percentage - 0.0440283
    26. ¸
  26. 5m
  27. ema9 - 3.07587
  28. ema21 - 3.08332
  29. ema50 - 3.05988
  30. price_ema9_diff - -0.0165011
  31. ema9_ema21_diff - -0.00241588
  32. ema21_ema50_diff - 0.00765979
  33. all_emas_in_trend - False
  34. all_emas_and_price_in_trend - False
  35. rsi - 0.382191
  36. kc_percentage - -0.00910145
  37. kc_width_percentage - 0.0381659
    38. ¸
  38. btc_indicators
  39. btc_indicators
  40. 5m_ema100: 103691
  41. 5m_price_ema100_diff: 0.0053829
  42. 5m_price: 104249
  43. 5m_correlation_with_coin: 0.680596
  44. btc_indicators
  45. 15m_ema100: 103440
  46. 15m_price_ema100_diff: 0.00782695
  47. 15m_price: 104249
  48. btc_indicators
  49. 1H_ema100: 101063
  50. 1H_price_ema100_diff: 0.0315322
  51. 1H_price: 104249
    52. ¸

Long Trade on ZRO

The 10 May 2025 at 20:31:56

With 210.1718 ZRO at 3.025$ per unit.

Position size of 635.7698 $

Take profit at 3.0821 (1.89 %) and Stop Loss at 2.9869 (1.26 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -34.23 %

Symbol Start at Seach Score Trade Score Trades Count
FLOKI 2025-05-10 20:30:32 0.9592 -100 1
APE 2025-05-10 20:29:39 0.918 30 1
LTC 2025-05-10 20:28:29 0.9073 -100 1
ALGO 2025-07-21 05:34:23 0.8774 -35 2
TIA 2025-05-10 20:31:10 0.8725 30 1
USELESS 2025-07-24 12:22:37 0.862 -100 1
TRX 2025-05-29 06:00:21 0.8615 30 1
BRETT 2025-04-24 13:22:57 0.8596 30 1
FET 2025-05-10 20:29:58 0.8583 40 1
AVAX 2025-05-29 00:37:31 0.8578 -100 1
1000BONK 2025-05-10 20:30:54 0.8575 30 1
GRIFFAIN 2025-03-26 08:14:31 0.8549 -100 1
HIFI 2025-08-13 18:22:33 0.8525 -100 1

📌 Time Data

Start at Closed at Duration
10 May 2025
20:31:56		 10 May 2025
23:30:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.025 2.9869 3.0821 1.5 2.034
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 3.025
  • Stop Loss: 2.9869
  • Take Profit: 3.0821

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.9869 - 3.025 = -0.0381

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.025 - 3.0821 = -0.0571

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0571 / -0.0381 = 1.4987

📌 Position Size

Amount Margin Quantity Leverage
635.7698 100 210.1718 6.36
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 -0.0381

Taille de position = 8 / -0.0381 = -209.97

Taille de position USD = -209.97 x 3.025 = -635.16

Donc, tu peux acheter -209.97 avec un stoploss a 2.9869

Avec un position size USD de -635.16$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -209.97 x -0.0381 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -209.97 x -0.0571 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position -209.97
  • Taille de position USD -635.16
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4987

📌 Peformances

TP % Target TP $ Target
1.89 % 12 $
SL % Target SL $ Target
1.26 % 8.01 $
PNL PNL %
11.98 $ 1.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0578512396694 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.054
            [max_drawdown] => 0.032
            [rr_ratio] => 1.69
            [high] => 3.07900000
            [low] => 2.99300000
            [mfe_pct] => 1.79
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 1.69
            [candles_analyzed] => 24
            [start_at] => 2025-05-10T20:31:56-04:00
            [end_at] => 2025-05-10T22:31:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.072
            [max_drawdown] => 0.032
            [rr_ratio] => 2.25
            [high] => 3.09700000
            [low] => 2.99300000
            [mfe_pct] => 2.38
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 2.25
            [candles_analyzed] => 72
            [start_at] => 2025-05-10T20:31:56-04:00
            [end_at] => 2025-05-11T02:31:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.16600000
            [high_after] => 3.09700000
            [low_before] => 2.99100000
            [low_after] => 2.99300000
            [is_new_high] => 
            [is_new_low] => 
        )

)