Trade

sell - OP

Status
win
2025-05-25 08:48:59
1 hour
PNL
0.66
Entry: 0.7304
Last: 0.72560000

Results

Status:
win
Trade Type:
sell
Prediction Score: -4.1959
Prediction 1 Accuracy
Weak Trade
0.63
Prediction 2 Accuracy
0 0.4
ML Trade Score: 140
ML Pullback Score: 9.14

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.002117115264
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 0.728217
  4. ema21 - 0.736566
  5. ema50 - 0.75112
  6. ema100 - 0.75506
  7. price_ema9_diff - 0.00299712
  8. ema9_ema21_diff - -0.0113355
  9. ema21_ema50_diff - -0.0193755
  10. price_ema100_diff - -0.0326604
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.417716
  14. kc_percentage - 0.354175
  15. kc_width_percentage - 0.0512208
  16. ¸
  17. 15m
  18. ema9 - 0.725735
  19. ema21 - 0.725345
  20. ema50 - 0.729711
  21. ema100 - 0.738264
  22. price_ema9_diff - 0.00642723
  23. ema9_ema21_diff - 0.000537485
  24. ema21_ema50_diff - -0.00598253
  25. price_ema100_diff - -0.0106524
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.577217
  29. kc_percentage - 0.795251
  30. kc_width_percentage - 0.0237017
  31. ¸
  32. 5m
  33. ema9 - 0.727279
  34. ema21 - 0.725554
  35. ema50 - 0.724712
  36. ema100 - 0.725267
  37. price_ema9_diff - 0.0042907
  38. ema9_ema21_diff - 0.00237694
  39. ema21_ema50_diff - 0.001163
  40. price_ema100_diff - 0.00707702
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.681916
  44. kc_percentage - 1.06951
  45. kc_width_percentage - 0.0114497
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 107421
  50. 5m_price_ema100_diff: -0.000655866
  51. 5m_price: 107351
  52. 5m_correlation_with_coin: 0.695559
  53. btc_indicators
  54. 15m_ema100: 107997
  55. 15m_price_ema100_diff: -0.00597841
  56. 15m_price: 107351
  57. btc_indicators
  58. 1H_ema100: 108393
  59. 1H_price_ema100_diff: -0.00961071
  60. 1H_price: 107351
  61. ¸

Short Trade on OP

The 25 May 2025 at 08:48:59

With 2519.1511 OP at 0.7304$ per unit.

Position size of 1839.988 $

Take profit at 0.7256 (0.66 %) and Stop Loss at 0.7336 (0.44 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -12 %

Symbol Start at Seach Score Trade Score Trades Count
TIA 2025-06-12 05:34:50 0.9532 -30 2
POPCAT 2025-06-04 04:31:21 0.9418 30 2
ETH 2025-05-25 08:45:53 0.9432 -100 2
TRUMP 2025-04-14 23:32:08 0.9431 -100 1
BID 2025-06-25 23:46:41 0.9425 40 1
GRIFFAIN 2025-06-12 05:30:02 0.9404 30 2
NXPC 2025-05-19 13:03:45 0.9405 40 1
DARK 2025-05-03 17:32:46 0.9403 30 1
AAVE 2025-04-14 23:40:56 0.9388 40 1
ZRO 2025-05-25 08:45:45 0.9384 -100 1

📌 Time Data

Start at Closed at Duration
25 May 2025
08:48:59
25 May 2025
10:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7304 0.7336 0.7256 1.5 0.7212
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 0.7304
  • Stop Loss: 0.7336
  • Take Profit: 0.7256

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7336 - 0.7304 = 0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7304 - 0.7256 = 0.0048

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0048 / 0.0032 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1839.988 100 2519.1511 18.40
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 0.0032

Taille de position = 8 / 0.0032 = 2500

Taille de position USD = 2500 x 0.7304 = 1826

Donc, tu peux acheter 2500 avec un stoploss a 0.7336

Avec un position size USD de 1826$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2500 x 0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2500 x 0.0048 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2500
  • Taille de position USD 1826
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.66 % 12.09 $
SL % Target SL $ Target
0.44 % 8.06 $
PNL PNL %
12.09 $ 0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.34227820372398 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.724
            [stop_loss] => 0.7336
            [rr_ratio] => 2
            [closed_at] => 2025-05-25 10:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.7224
            [stop_loss] => 0.7336
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-25 10:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.7208
            [stop_loss] => 0.7336
            [rr_ratio] => 3
            [closed_at] => 2025-05-25 10:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.7192
            [stop_loss] => 0.7336
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-25 11:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.7176
            [stop_loss] => 0.7336
            [rr_ratio] => 4
            [closed_at] => 2025-05-25 11:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.716
            [stop_loss] => 0.7336
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-25 11:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.7144
            [stop_loss] => 0.7336
            [rr_ratio] => 5
            [closed_at] => 2025-05-25 11:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.7128
            [stop_loss] => 0.7336
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-25 11:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.7112
            [stop_loss] => 0.7336
            [rr_ratio] => 6
            [closed_at] => 2025-05-25 11:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.7096
            [stop_loss] => 0.7336
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-25 11:20:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.708
            [stop_loss] => 0.7336
            [rr_ratio] => 7
            [closed_at] => 2025-05-25 11:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0102
            [max_drawdown] => 0.0024999999999999
            [rr_ratio] => 4.08
            [high] => 0.73290000
            [low] => 0.72020000
            [mfe_pct] => 1.4
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 4.08
            [candles_analyzed] => 24
            [start_at] => 2025-05-25T08:48:59-04:00
            [end_at] => 2025-05-25T10:48:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0235
            [max_drawdown] => 0.0024999999999999
            [rr_ratio] => 9.4
            [high] => 0.73290000
            [low] => 0.70690000
            [mfe_pct] => 3.22
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 9.4
            [candles_analyzed] => 72
            [start_at] => 2025-05-25T08:48:59-04:00
            [end_at] => 2025-05-25T14:48:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.73070000
            [high_after] => 0.73290000
            [low_before] => 0.71490000
            [low_after] => 0.70690000
            [is_new_high] => 
            [is_new_low] => 1
        )

)