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Trade

buy - MASK

Status
win
2025-05-11 10:08:21
56 minutes
PNL
0.93
Entry: 1.4
Last: 1.41300000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.1244
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
0 n/a
Prediction 3 Probability
n/a
ML Trade Score: 30
ML Pullback Score: 0.99

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.00589689759
Details
  1. score: 2.12
  2. 1H
  3. ema9 - 1.41663
  4. ema21 - 1.39865
  5. ema50 - 1.34093
  6. price_ema9_diff - -0.0118902
  7. ema9_ema21_diff - 0.0128505
  8. ema21_ema50_diff - 0.0430457
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.535438
  12. kc_percentage - 0.493563
  13. kc_width_percentage - 0.0831672
    14. ¸
  14. 15m
  15. ema9 - 1.41446
  16. ema21 - 1.4225
  17. ema50 - 1.41904
  18. price_ema9_diff - -0.0101676
  19. ema9_ema21_diff - -0.00565462
  20. ema21_ema50_diff - 0.00244203
  21. all_emas_in_trend - False
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.373859
  24. kc_percentage - -0.0186803
  25. kc_width_percentage - 0.030488
    26. ¸
  26. 5m
  27. ema9 - 1.40704
  28. ema21 - 1.41598
  29. ema50 - 1.42354
  30. price_ema9_diff - -0.00497297
  31. ema9_ema21_diff - -0.0063162
  32. ema21_ema50_diff - -0.00531108
  33. all_emas_in_trend - True
  34. all_emas_and_price_in_trend - True
  35. rsi - 0.336893
  36. kc_percentage - -0.116873
  37. kc_width_percentage - 0.0179128
    38. ¸
  38. btc_indicators
  39. btc_indicators
  40. 5m_ema100: 104238
  41. 5m_price_ema100_diff: -0.00248898
  42. 5m_price: 103978
  43. 5m_correlation_with_coin: 0.528955
  44. btc_indicators
  45. 15m_ema100: 103951
  46. 15m_price_ema100_diff: 0.000263867
  47. 15m_price: 103978
  48. btc_indicators
  49. 1H_ema100: 102048
  50. 1H_price_ema100_diff: 0.0189129
  51. 1H_price: 103978
    52. ¸

Long Trade on MASK

The 11 May 2025 at 10:08:21

With 904.4304 MASK at 1.4$ per unit.

Position size of 1266.2025 $

Take profit at 1.4133 (0.95 %) and Stop Loss at 1.3912 (0.63 %)

That's a 1.51 RR Trade

📌 Similar Trades

Similar Trade Score: 19.72 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-04-10 03:35:37 0.9173 -96.67 3
BCH 2025-04-10 03:57:35 0.9016 30 1
XRP 2025-04-10 03:35:29 0.901 100 2
BNB 2025-04-10 03:35:46 0.9007 95 2
SOL 2025-04-10 03:36:43 0.8969 -100 3
ADA 2025-04-10 03:35:37 0.8957 90 2

📌 Time Data

Start at Closed at Duration
11 May 2025
10:08:21		 11 May 2025
11:05:00		 56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.4 1.3912 1.4133 1.51 1.29
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 1.4
  • Stop Loss: 1.3912
  • Take Profit: 1.4133

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.3912 - 1.4 = -0.0087999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.4 - 1.4133 = -0.0133

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0133 / -0.0087999999999999 = 1.5114

📌 Position Size

Amount Margin Quantity Leverage
1266.2025 100 904.4304 12.66
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 -0.0087999999999999

Taille de position = 8 / -0.0087999999999999 = -909.09

Taille de position USD = -909.09 x 1.4 = -1272.73

Donc, tu peux acheter -909.09 avec un stoploss a 1.3912

Avec un position size USD de -1272.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -909.09 x -0.0087999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -909.09 x -0.0133 = 12.09

Si Take Profit atteint, tu gagneras 12.09$

Résumé

  • Taille de position -909.09
  • Taille de position USD -1272.73
  • Perte potentielle 8
  • Gain potentiel 12.09
  • Risk-Reward Ratio 1.5114

📌 Peformances

TP % Target TP $ Target
0.95 % 12.03 $
SL % Target SL $ Target
0.63 % 7.96 $
PNL PNL %
11.76 $ 0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.14285714285714 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.418
            [stop_loss] => 1.391
            [rr_ratio] => 2
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 1.4225
            [stop_loss] => 1.391
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.427
            [stop_loss] => 1.391
            [rr_ratio] => 3
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.4315
            [stop_loss] => 1.391
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.436
            [stop_loss] => 1.391
            [rr_ratio] => 4
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.4405
            [stop_loss] => 1.391
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.445
            [stop_loss] => 1.391
            [rr_ratio] => 5
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.4495
            [stop_loss] => 1.391
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.454
            [stop_loss] => 1.391
            [rr_ratio] => 6
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.4585
            [stop_loss] => 1.391
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.463
            [stop_loss] => 1.391
            [rr_ratio] => 7
            [closed_at] => 2025-05-11 11:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.017
            [max_drawdown] => 0.024
            [rr_ratio] => 0.71
            [high] => 1.41700000
            [low] => 1.37600000
            [mfe_pct] => 1.21
            [mae_pct] => 1.71
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 24
            [start_at] => 2025-05-11T10:08:21-04:00
            [end_at] => 2025-05-11T12:08:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.022
            [max_drawdown] => 0.031
            [rr_ratio] => 0.71
            [high] => 1.42200000
            [low] => 1.36900000
            [mfe_pct] => 1.57
            [mae_pct] => 2.21
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 72
            [start_at] => 2025-05-11T10:08:21-04:00
            [end_at] => 2025-05-11T16:08:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.44300000
            [high_after] => 1.42200000
            [low_before] => 1.39400000
            [low_after] => 1.36900000
            [is_new_high] => 
            [is_new_low] => 
        )

)