Trade

sell - OM

Status
win
2025-08-19 17:16:16
1 hour
PNL
0.71
Entry: 0.2396
Last: 0.23790000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.6
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
1 0.66
Prediction 3 Probability
0 0.84
ML Trade Score: 100
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0007567743902
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 0.238591
  4. ema21 - 0.240136
  5. ema50 - 0.243823
  6. ema100 - 0.246919
  7. price_ema9_diff - 0.00426723
  8. ema9_ema21_diff - -0.00643367
  9. ema21_ema50_diff - -0.01512
  10. price_ema100_diff - -0.0296031
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.465717
  14. adx - 0.373001
  15. kc_percentage - 0.47215
  16. kc_width_percentage - 0.0578462
  17. volume_ema_diff - -0.110297
  18. volume_ema1 - 202968.67896609
  19. volume_ema2 - 228130.88706347
  20. ¸
  21. 15m
  22. ema9 - 0.238197
  23. ema21 - 0.237972
  24. ema50 - 0.238892
  25. ema100 - 0.240325
  26. price_ema9_diff - 0.00592811
  27. ema9_ema21_diff - 0.000946923
  28. ema21_ema50_diff - -0.00385086
  29. price_ema100_diff - -0.00297564
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.566703
  33. adx - 0.278335
  34. kc_percentage - 0.76985
  35. kc_width_percentage - 0.0256162
  36. volume_ema_diff - -0.373745
  37. volume_ema1 - 40802.502874136
  38. volume_ema2 - 65153.212468981
  39. ¸
  40. 5m
  41. ema9 - 0.238696
  42. ema21 - 0.23799
  43. ema50 - 0.23771
  44. ema100 - 0.238385
  45. price_ema9_diff - 0.00382558
  46. ema9_ema21_diff - 0.00296838
  47. ema21_ema50_diff - 0.00117641
  48. price_ema100_diff - 0.00513533
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.648163
  52. adx - 0.180395
  53. kc_percentage - 1.0478
  54. kc_width_percentage - 0.0120474
  55. volume_ema_diff - -0.150898
  56. volume_ema1 - 17969.884353395
  57. volume_ema2 - 21163.410780845
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 113753
  62. 5m_price_ema100_diff: -0.00298268
  63. 5m_price: 113414
  64. 5m_correlation_with_coin: 0.768087
  65. btc_indicators
  66. 15m_ema100: 114621
  67. 15m_price_ema100_diff: -0.0105265
  68. 15m_price: 113414
  69. btc_indicators
  70. 1H_ema100: 116025
  71. 1H_price_ema100_diff: -0.0225052
  72. 1H_price: 113414
  73. ¸

Short Trade on OM

The 19 Aug 2025 at 17:16:16

With 7047.4548 OM at 0.2396$ per unit.

Position size of 1688.6407 $

Take profit at 0.2379 (0.71 %) and Stop Loss at 0.2407 (0.46 %)

That's a 1.55 RR Trade

📌 Similar Trades

Similar Trade Score: -52.27 %

Symbol Start at Seach Score Trade Score Trades Count
FLOKI 2025-08-19 17:11:54 0.8994 -100 2
HYPER 2025-07-30 07:03:19 0.8725 60 1
VIRTUAL 2025-08-19 16:53:23 0.8521 -35 2
SLP 2025-07-25 16:54:50 0.847 -100 2
IO 2025-06-06 20:39:30 0.8484 -100 1
FUN 2025-04-12 08:52:07 0.8439 -100 1
HMSTR 2025-06-14 18:52:39 0.8389 -100 1
FIO 2025-08-07 16:05:20 0.8353 -100 1
JTO 2025-07-07 02:28:38 0.8349 50 1
1MBABYDOGE 2025-08-19 16:58:33 0.8323 50 1
ARB 2025-06-06 20:38:25 0.8301 -100 1

📌 Time Data

Start at Closed at Duration
19 Aug 2025
17:16:16
19 Aug 2025
19:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2396 0.2407 0.2379 1.55 0.2489
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 0.2396
  • Stop Loss: 0.2407
  • Take Profit: 0.2379

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2407 - 0.2396 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2396 - 0.2379 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.0011 = 1.5455

📌 Position Size

Amount Margin Quantity Leverage
1688.6407 100 7047.4548 16.89
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.2396 = 1742.55

Donc, tu peux acheter 7272.73 avec un stoploss a 0.2407

Avec un position size USD de 1742.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0017 = 12.36

Si Take Profit atteint, tu gagneras 12.36$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 1742.55
  • Perte potentielle 8
  • Gain potentiel 12.36
  • Risk-Reward Ratio 1.5455

📌 Peformances

TP % Target TP $ Target
0.71 % 11.98 $
SL % Target SL $ Target
0.46 % 7.75 $
PNL PNL %
11.98 $ 0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0668 % 14.55 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2374
            [stop_loss] => 0.2407
            [rr_ratio] => 2
            [closed_at] => 2025-08-19 19:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.23685
            [stop_loss] => 0.2407
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-19 19:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2363
            [stop_loss] => 0.2407
            [rr_ratio] => 3
            [closed_at] => 2025-08-19 19:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.23575
            [stop_loss] => 0.2407
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-19 19:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2352
            [stop_loss] => 0.2407
            [rr_ratio] => 4
            [closed_at] => 2025-08-19 19:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.23465
            [stop_loss] => 0.2407
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-19 21:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2341
            [stop_loss] => 0.2407
            [rr_ratio] => 5
            [closed_at] => 2025-08-19 21:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00289
            [max_drawdown] => 0.00015999999999999
            [rr_ratio] => 18.06
            [high] => 0.23976000
            [low] => 0.23671000
            [mfe_pct] => 1.21
            [mae_pct] => 0.07
            [mfe_mae_ratio] => 18.06
            [candles_analyzed] => 24
            [start_at] => 2025-08-19T17:16:16-04:00
            [end_at] => 2025-08-19T19:16:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00596
            [max_drawdown] => 0.00015999999999999
            [rr_ratio] => 37.25
            [high] => 0.23976000
            [low] => 0.23364000
            [mfe_pct] => 2.49
            [mae_pct] => 0.07
            [mfe_mae_ratio] => 37.25
            [candles_analyzed] => 84
            [start_at] => 2025-08-19T17:16:16-04:00
            [end_at] => 2025-08-20T00:16:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.23994000
            [high_after] => 0.23976000
            [low_before] => 0.23349000
            [low_after] => 0.23364000
            [is_new_high] => 
            [is_new_low] => 
        )

)