Trade

buy - HOUSE

Status
win
2025-06-29 09:38:51
11 minutes
PNL
2.40
Entry: 0.01959
Last: 0.02006000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.6061
Prediction 1 Accuracy
Weak Trade
0.73
Prediction 2 Accuracy
0 0.56
ML Trade Score: 50

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.26
  4. atr: 0.0002106425075
Details
  1. score: 2.26
  2. 1H
  3. ema9 - 0.0198857
  4. ema21 - 0.019534
  5. ema50 - 0.0192264
  6. ema100 - 0.0192986
  7. price_ema9_diff - -0.0148716
  8. ema9_ema21_diff - 0.0180057
  9. ema21_ema50_diff - 0.0159983
  10. price_ema100_diff - 0.0150972
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.519824
  14. kc_percentage - 0.511411
  15. kc_width_percentage - 0.143756
  16. volume_ema_diff - -0.406511
  17. volume_ema1 - 120481.47807301
  18. volume_ema2 - 203005.42169113
  19. ¸
  20. 15m
  21. ema9 - 0.0202311
  22. ema21 - 0.0201569
  23. ema50 - 0.0198078
  24. ema100 - 0.0194167
  25. price_ema9_diff - -0.0316935
  26. ema9_ema21_diff - 0.00368293
  27. ema21_ema50_diff - 0.0176234
  28. price_ema100_diff - 0.00892131
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.43632
  32. kc_percentage - 0.0834523
  33. kc_width_percentage - 0.0710994
  34. volume_ema_diff - -0.484061
  35. volume_ema1 - 22259.771226211
  36. volume_ema2 - 43144.198627744
  37. ¸
  38. 5m
  39. ema9 - 0.0200756
  40. ema21 - 0.0202625
  41. ema50 - 0.0202498
  42. ema100 - 0.0200744
  43. price_ema9_diff - -0.0241896
  44. ema9_ema21_diff - -0.00922613
  45. ema21_ema50_diff - 0.000630249
  46. price_ema100_diff - -0.0241345
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.281223
  50. kc_percentage - -0.257185
  51. kc_width_percentage - 0.0448708
  52. volume_ema_diff - 0.520515
  53. volume_ema1 - 16762.015946246
  54. volume_ema2 - 11023.902701349
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 107823
  59. 5m_price_ema100_diff: 0.00171909
  60. 5m_price: 108008
  61. 5m_correlation_with_coin: 0.142555
  62. btc_indicators
  63. 15m_ema100: 107523
  64. 15m_price_ema100_diff: 0.0042944
  65. 15m_price: 107985
  66. btc_indicators
  67. 1H_ema100: 107285
  68. 1H_price_ema100_diff: 0.00674438
  69. 1H_price: 108008
  70. ¸

Long Trade on HOUSE

The 29 Jun 2025 at 09:38:51

With 25320 HOUSE at 0.01959$ per unit.

Position size of 496 $

Take profit at 0.02006 (2.4 %) and Stop Loss at 0.01927 (1.6 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -79.67 %

Symbol Start at Seach Score Trade Score Trades Count
ENA 2025-04-20 18:16:08 0.8908 -100 1
HBAR 2025-04-20 18:15:58 0.8622 -26.67 3
MOODENG 2025-07-05 00:49:31 0.8604 30 1
DOG 2025-05-13 10:13:42 0.8592 -100 1
PAXG 2025-06-10 10:53:10 0.8589 -100 1
VANA 2025-05-30 01:59:04 0.8536 -100 2
APE 2025-06-09 14:15:08 0.8539 -100 1
KAS 2025-06-29 23:23:36 0.8523 -100 1
TRX 2025-06-29 03:19:44 0.8502 -100 1
SEI 2025-06-28 00:30:07 0.85 -100 1

📌 Time Data

Start at Closed at Duration
29 Jun 2025
09:38:51
29 Jun 2025
09:50:00
11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01959 0.01927 0.02006 1.5 0.01496
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 0.01959
  • Stop Loss: 0.01927
  • Take Profit: 0.02006

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01927 - 0.01959 = -0.00032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01959 - 0.02006 = -0.00047

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00047 / -0.00032 = 1.4688

📌 Position Size

Amount Margin Quantity Leverage
496 100 25320 4.96
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 -0.00032

Taille de position = 8 / -0.00032 = -25000

Taille de position USD = -25000 x 0.01959 = -489.75

Donc, tu peux acheter -25000 avec un stoploss a 0.01927

Avec un position size USD de -489.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -25000 x -0.00032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -25000 x -0.00047 = 11.75

Si Take Profit atteint, tu gagneras 11.75$

Résumé

  • Taille de position -25000
  • Taille de position USD -489.75
  • Perte potentielle 8
  • Gain potentiel 11.75
  • Risk-Reward Ratio 1.4688

📌 Peformances

TP % Target TP $ Target
2.4 % 12 $
SL % Target SL $ Target
1.6 % 8.1 $
PNL PNL %
12 $ 2.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02023
            [stop_loss] => 0.01927
            [rr_ratio] => 2
            [closed_at] => 2025-06-29 09:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.02039
            [stop_loss] => 0.01927
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-29 10:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02055
            [stop_loss] => 0.01927
            [rr_ratio] => 3
            [closed_at] => 2025-06-29 12:25:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.02071
            [stop_loss] => 0.01927
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-29 12:25:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.02087
            [stop_loss] => 0.01927
            [rr_ratio] => 4
            [closed_at] => 2025-06-29 12:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.02103
            [stop_loss] => 0.01927
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-29 12:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.02119
            [stop_loss] => 0.01927
            [rr_ratio] => 5
            [closed_at] => 2025-06-29 12:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.02135
            [stop_loss] => 0.01927
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-29 12:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.02151
            [stop_loss] => 0.01927
            [rr_ratio] => 6
            [closed_at] => 2025-06-29 12:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.02167
            [stop_loss] => 0.01927
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-29 12:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.02183
            [stop_loss] => 0.01927
            [rr_ratio] => 7
            [closed_at] => 2025-06-29 12:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)