Trade

sell - LQTY

Status
win
2025-07-12 02:39:22
40 minutes
PNL
1.11
Entry: 1.174
Last: 1.16100000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.61
Prediction 1 Accuracy
Strong Trade
0.67
Prediction 2 Accuracy
2 0.43
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.005760724132
Details
  1. score: 1.15
  2. 1H
  3. ema9 - 1.17757
  4. ema21 - 1.21248
  5. ema50 - 1.23853
  6. ema100 - 1.2332
  7. price_ema9_diff - -0.00328994
  8. ema9_ema21_diff - -0.028792
  9. ema21_ema50_diff - -0.0210322
  10. price_ema100_diff - -0.048254
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.376857
  14. kc_percentage - 0.182679
  15. kc_width_percentage - 0.0982883
  16. volume_ema_diff - -0.39596
  17. volume_ema1 - 181887.46205393
  18. volume_ema2 - 301118.72585279
  19. ¸
  20. 15m
  21. ema9 - 1.15847
  22. ema21 - 1.16505
  23. ema50 - 1.19236
  24. ema100 - 1.23111
  25. price_ema9_diff - 0.0131455
  26. ema9_ema21_diff - -0.00565083
  27. ema21_ema50_diff - -0.0229018
  28. price_ema100_diff - -0.0466361
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.474445
  32. kc_percentage - 0.722227
  33. kc_width_percentage - 0.0360309
  34. volume_ema_diff - -0.572851
  35. volume_ema1 - 30070.166923447
  36. volume_ema2 - 70397.38911052
  37. ¸
  38. 5m
  39. ema9 - 1.16227
  40. ema21 - 1.15854
  41. ema50 - 1.16103
  42. ema100 - 1.16278
  43. price_ema9_diff - 0.00983051
  44. ema9_ema21_diff - 0.00322174
  45. ema21_ema50_diff - -0.00214672
  46. price_ema100_diff - 0.00938614
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.669411
  50. kc_percentage - 1.14863
  51. kc_width_percentage - 0.0198351
  52. volume_ema_diff - 0.299253
  53. volume_ema1 - 20085.96843281
  54. volume_ema2 - 15459.624254787
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 117601
  59. 5m_price_ema100_diff: 0.00270921
  60. 5m_price: 117919
  61. 5m_correlation_with_coin: 0.672708
  62. btc_indicators
  63. 15m_ema100: 117681
  64. 15m_price_ema100_diff: 0.00192514
  65. 15m_price: 117908
  66. btc_indicators
  67. 1H_ema100: 113504
  68. 1H_price_ema100_diff: 0.0389036
  69. 1H_price: 117919
  70. ¸

Short Trade on LQTY

The 12 Jul 2025 at 02:39:22

With 925.8 LQTY at 1.174$ per unit.

Position size of 1087 $

Take profit at 1.161 (1.1 %) and Stop Loss at 1.182 (0.68 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -38 %

Symbol Start at Seach Score Trade Score Trades Count
S 2025-04-21 21:27:48 0.9574 -100 2
EOS 2025-04-21 21:50:12 0.9589 90 1
AVAAI 2025-05-25 06:14:38 0.9546 -100 3
BTC 2025-03-29 16:04:26 0.9555 40 1
ETHFI 2025-07-01 10:13:52 0.9546 40 1
OM 2025-06-06 00:55:02 0.954 -100 1
AIXBT 2025-04-02 11:42:31 0.9539 -90 1
CHILLGUY 2025-05-24 03:16:38 0.9538 40 2
BCH 2025-06-06 00:51:08 0.9538 -100 1
TIA 2025-06-06 00:47:19 0.9534 -100 1

📌 Time Data

Start at Closed at Duration
12 Jul 2025
02:39:22
12 Jul 2025
03:20:00
40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.174 1.182 1.161 1.6 1.108
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 1.174
  • Stop Loss: 1.182
  • Take Profit: 1.161

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.182 - 1.174 = 0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.174 - 1.161 = 0.013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.013 / 0.008 = 1.625

📌 Position Size

Amount Margin Quantity Leverage
1087 100 925.8 10.87
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 0.008

Taille de position = 8 / 0.008 = 1000

Taille de position USD = 1000 x 1.174 = 1174

Donc, tu peux acheter 1000 avec un stoploss a 1.182

Avec un position size USD de 1174$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1000 x 0.008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1000 x 0.013 = 13

Si Take Profit atteint, tu gagneras 13$

Résumé

  • Taille de position 1000
  • Taille de position USD 1174
  • Perte potentielle 8
  • Gain potentiel 13
  • Risk-Reward Ratio 1.625

📌 Peformances

TP % Target TP $ Target
1.1 % 12 $
SL % Target SL $ Target
0.68 % 7.4 $
PNL PNL %
12 $ 1.11
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0256 % 3.76 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.158
            [stop_loss] => 1.182
            [rr_ratio] => 2
            [closed_at] => 2025-07-12 03:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.154
            [stop_loss] => 1.182
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-12 07:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.15
            [stop_loss] => 1.182
            [rr_ratio] => 3
            [closed_at] => 2025-07-12 07:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.146
            [stop_loss] => 1.182
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-12 07:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.142
            [stop_loss] => 1.182
            [rr_ratio] => 4
            [closed_at] => 2025-07-12 07:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.138
            [stop_loss] => 1.182
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-12 08:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.134
            [stop_loss] => 1.182
            [rr_ratio] => 5
            [closed_at] => 2025-07-12 08:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.13
            [stop_loss] => 1.182
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-12 08:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.126
            [stop_loss] => 1.182
            [rr_ratio] => 6
            [closed_at] => 2025-07-12 08:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.122
            [stop_loss] => 1.182
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-12 08:35:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.118
            [stop_loss] => 1.182
            [rr_ratio] => 7
            [closed_at] => 2025-07-12 08:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)