Trade

sell - TAI

Status
win
2025-05-29 18:07:27
37 minutes
PNL
1.45
Entry: 0.124
Last: 0.12220000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2667
Prediction 1 Accuracy
Weak Trade
0.51
Prediction 2 Accuracy
0 0.47
ML Trade Score: 140
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0008342459057
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.12404
  4. ema21 - 0.127098
  5. ema50 - 0.129492
  6. ema100 - 0.127312
  7. price_ema9_diff - 7.50962E-5
  8. ema9_ema21_diff - -0.0240607
  9. ema21_ema50_diff - -0.0184865
  10. price_ema100_diff - -0.0256252
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.412841
  14. kc_percentage - 0.308369
  15. kc_width_percentage - 0.120123
  16. ¸
  17. 15m
  18. ema9 - 0.121964
  19. ema21 - 0.122494
  20. ema50 - 0.125086
  21. ema100 - 0.127284
  22. price_ema9_diff - 0.0170954
  23. ema9_ema21_diff - -0.00431916
  24. ema21_ema50_diff - -0.0207261
  25. price_ema100_diff - -0.0254108
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.544774
  29. kc_percentage - 0.737392
  30. kc_width_percentage - 0.0558104
  31. ¸
  32. 5m
  33. ema9 - 0.122854
  34. ema21 - 0.121988
  35. ema50 - 0.122023
  36. ema100 - 0.123206
  37. price_ema9_diff - 0.00973412
  38. ema9_ema21_diff - 0.00709966
  39. ema21_ema50_diff - -0.000291274
  40. price_ema100_diff - 0.00684612
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.692266
  44. kc_percentage - 1.11319
  45. kc_width_percentage - 0.0266113
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 106524
  50. 5m_price_ema100_diff: -0.00179925
  51. 5m_price: 106332
  52. 5m_correlation_with_coin: 0.468437
  53. btc_indicators
  54. 15m_ema100: 107176
  55. 15m_price_ema100_diff: -0.00787153
  56. 15m_price: 106332
  57. btc_indicators
  58. 1H_ema100: 108089
  59. 1H_price_ema100_diff: -0.0162522
  60. 1H_price: 106332
  61. ¸

Short Trade on TAI

The 29 May 2025 at 18:07:27

With 6392.9991 TAI at 0.124$ per unit.

Position size of 793.0515 $

Take profit at 0.1222 (1.45 %) and Stop Loss at 0.1253 (1.05 %)

That's a 1.38 RR Trade

📌 Similar Trades

Similar Trade Score: -30 %

Symbol Start at Seach Score Trade Score Trades Count
ZRO 2025-04-03 11:42:18 0.9727 -100 1
B3 2025-05-28 17:53:38 0.9655 -10 3
ARK 2025-04-18 02:46:32 0.9625 -100 2
TRUMP 2025-03-27 14:44:33 0.9616 30 1
ANIME 2025-06-13 03:32:10 0.9597 -100 1
HBAR 2025-04-20 10:35:50 0.9592 -100 2
DEXE 2025-06-30 11:06:32 0.9589 30 1
PAXG 2025-05-01 02:07:25 0.9588 40 1
RARE 2025-05-17 00:42:30 0.9584 40 1

📌 Time Data

Start at Closed at Duration
29 May 2025
18:07:27
29 May 2025
18:45:00
37 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.124 0.1253 0.1222 1.38 0.07209
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 0.124
  • Stop Loss: 0.1253
  • Take Profit: 0.1222

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1253 - 0.124 = 0.0013

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.124 - 0.1222 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.0013 = 1.3846

📌 Position Size

Amount Margin Quantity Leverage
793.0515 100 6392.9991 7.93
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 0.0013

Taille de position = 8 / 0.0013 = 6153.85

Taille de position USD = 6153.85 x 0.124 = 763.08

Donc, tu peux acheter 6153.85 avec un stoploss a 0.1253

Avec un position size USD de 763.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6153.85 x 0.0013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6153.85 x 0.0018 = 11.08

Si Take Profit atteint, tu gagneras 11.08$

Résumé

  • Taille de position 6153.85
  • Taille de position USD 763.08
  • Perte potentielle 8
  • Gain potentiel 11.08
  • Risk-Reward Ratio 1.3846

📌 Peformances

TP % Target TP $ Target
1.45 % 11.51 $
SL % Target SL $ Target
1.05 % 8.31 $
PNL PNL %
11.51 $ 1.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.46774193548387 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1214
            [stop_loss] => 0.1253
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 18:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.12075
            [stop_loss] => 0.1253
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 20:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1201
            [stop_loss] => 0.1253
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 20:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.11945
            [stop_loss] => 0.1253
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1188
            [stop_loss] => 0.1253
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.11815
            [stop_loss] => 0.1253
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 20:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1175
            [stop_loss] => 0.1253
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 20:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.11685
            [stop_loss] => 0.1253
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-29 20:55:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1162
            [stop_loss] => 0.1253
            [rr_ratio] => 6
            [closed_at] => 2025-05-29 20:55:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.11555
            [stop_loss] => 0.1253
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-29 20:55:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1149
            [stop_loss] => 0.1253
            [rr_ratio] => 7
            [closed_at] => 2025-05-29 20:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00322
            [max_drawdown] => 0.00058
            [rr_ratio] => 5.55
            [high] => 0.12458000
            [low] => 0.12078000
            [mfe_pct] => 2.6
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 5.55
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T18:07:27-04:00
            [end_at] => 2025-05-29T20:07:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01101
            [max_drawdown] => 0.00058
            [rr_ratio] => 18.98
            [high] => 0.12458000
            [low] => 0.11299000
            [mfe_pct] => 8.88
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 18.98
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T18:07:27-04:00
            [end_at] => 2025-05-30T00:07:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12494000
            [high_after] => 0.12458000
            [low_before] => 0.11838000
            [low_after] => 0.11299000
            [is_new_high] => 
            [is_new_low] => 1
        )

)