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Trade

sell - HMSTR

Status
loss
2025-08-14 23:24:58
5 minutes
PNL
-0.41
Entry: 0.0007361
Last: 0.00073910

Results

Status:
loss
Trade Type:
sell
Prediction Score: 1.85
Prediction 1 Probability
Strong Trade
0.62
Prediction 2 Probability
1 0.63
Prediction 3 Probability
0 0.54
ML Trade Score: -100
ML Pullback Score: 0.4

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 2.017575596E-6
Details
  1. score: 1.14
  2. 1H
  3. ema9 - 0.000731085
  4. ema21 - 0.000746535
  5. ema50 - 0.000766418
  6. ema100 - 0.000773459
  7. price_ema9_diff - 0.00685878
  8. ema9_ema21_diff - -0.0206947
  9. ema21_ema50_diff - -0.0259439
  10. price_ema100_diff - -0.0483019
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.392478
  14. adx - 0.569906
  15. kc_percentage - 0.318072
  16. kc_width_percentage - 0.068479
  17. volume_ema_diff - -0.824865
  18. volume_ema1 - 20502.330819652
  19. volume_ema2 - 117066.31819686
    20. ¸
  20. 15m
  21. ema9 - 0.000730598
  22. ema21 - 0.000728453
  23. ema50 - 0.000735497
  24. ema100 - 0.000754397
  25. price_ema9_diff - 0.00752969
  26. ema9_ema21_diff - 0.00294496
  27. ema21_ema50_diff - -0.00957771
  28. price_ema100_diff - -0.024255
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.611132
  32. adx - 0.229197
  33. kc_percentage - 0.985161
  34. kc_width_percentage - 0.0213327
  35. volume_ema_diff - -0.867328
  36. volume_ema1 - 3018.3251716018
  37. volume_ema2 - 22750.325975034
    38. ¸
  38. 5m
  39. ema9 - 0.000732616
  40. ema21 - 0.000730819
  41. ema50 - 0.000728331
  42. ema100 - 0.000727539
  43. price_ema9_diff - 0.00475502
  44. ema9_ema21_diff - 0.00245916
  45. ema21_ema50_diff - 0.00341561
  46. price_ema100_diff - 0.0117666
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.658277
  50. adx - 0.172735
  51. kc_percentage - 1.13883
  52. kc_width_percentage - 0.0109576
  53. volume_ema_diff - -0.2189
  54. volume_ema1 - 1035.4874875614
  55. volume_ema2 - 1325.6787625309
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 118333
  59. 5m_price_ema100_diff: 0.00441101
  60. 5m_price: 118855
  61. 5m_correlation_with_coin: 0.622733
  62. btc_indicators
  63. 15m_ema100: 119577
  64. 15m_price_ema100_diff: -0.00667779
  65. 15m_price: 118778
  66. btc_indicators
  67. 1H_ema100: 119887
  68. 1H_price_ema100_diff: -0.00861128
  69. 1H_price: 118855
    70. ¸

Short Trade on HMSTR

The 14 Aug 2025 at 23:24:58

With 2643436.6791 HMSTR at 0.0007361$ per unit.

Position size of 1945.8337 $

Take profit at 0.0007316 (0.61 %) and Stop Loss at 0.0007391 (0.41 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -90 %

Symbol Start at Seach Score Trade Score Trades Count
ROSE 2025-08-14 23:20:18 0.9841 -100 1
CAKE 2025-08-14 23:23:31 0.9833 -100 1
IOTA 2025-08-14 23:20:04 0.9779 -100 1
AXS 2025-08-14 23:29:27 0.9746 -100 1
RENDER 2025-08-14 23:24:20 0.9699 -100 1
GALA 2025-08-14 23:29:44 0.9678 -100 1
UXLINK 2025-08-14 23:24:10 0.9659 -100 1
MANA 2025-08-14 23:24:35 0.9626 -100 2
USUAL 2025-08-14 23:26:16 0.963 -100 1
MUBARAK 2025-08-14 23:27:43 0.9625 30 1
SUSHI 2025-08-14 23:29:19 0.9622 -100 1
FIL 2025-08-14 23:28:54 0.9588 -100 1
MASK 2025-08-14 23:20:53 0.9563 -100 1

📌 Time Data

Start at Closed at Duration
14 Aug 2025
23:24:58		 14 Aug 2025
23:30:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0007361 0.0007391 0.0007316 1.5 0.0007758
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 0.0007361
  • Stop Loss: 0.0007391
  • Take Profit: 0.0007316

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0007391 - 0.0007361 = 3.0000000000001E-6

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0007361 - 0.0007316 = 4.4999999999999E-6

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 4.4999999999999E-6 / 3.0000000000001E-6 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1945.8337 100 2643436.6791 19.46
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 3.0000000000001E-6

Taille de position = 8 / 3.0000000000001E-6 = 2666666.67

Taille de position USD = 2666666.67 x 0.0007361 = 1962.93

Donc, tu peux acheter 2666666.67 avec un stoploss a 0.0007391

Avec un position size USD de 1962.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2666666.67 x 3.0000000000001E-6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2666666.67 x 4.4999999999999E-6 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2666666.67
  • Taille de position USD 1962.93
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.61 % 11.9 $
SL % Target SL $ Target
0.41 % 7.93 $
PNL PNL %
-7.93 $ -0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4347 % 106.65 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0007316
            [entry_price] => 0.0007361
            [stop_loss] => 0.0007394
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-08-14 23:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0007316
            [entry_price] => 0.0007361
            [stop_loss] => 0.0007397
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-08-14 23:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0007316
            [entry_price] => 0.0007361
            [stop_loss] => 0.00074
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-08-14 23:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0007316
            [entry_price] => 0.0007361
            [stop_loss] => 0.0007406
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-08-14 23:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.3E-6
            [max_drawdown] => 6.2E-6
            [rr_ratio] => 0.37
            [high] => 0.00074230
            [low] => 0.00073380
            [mfe_pct] => 0.31
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-08-14T23:24:58-04:00
            [end_at] => 2025-08-15T01:24:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.3E-6
            [max_drawdown] => 1.31E-5
            [rr_ratio] => 0.18
            [high] => 0.00074920
            [low] => 0.00073380
            [mfe_pct] => 0.31
            [mae_pct] => 1.78
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 84
            [start_at] => 2025-08-14T23:24:58-04:00
            [end_at] => 2025-08-15T06:24:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00073610
            [high_after] => 0.00074920
            [low_before] => 0.00071910
            [low_after] => 0.00073380
            [is_new_high] => 
            [is_new_low] => 
        )

)