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Trade

sell - TAO

Status
win
2025-06-05 08:42:00
53 minutes
PNL
0.88
Entry: 375.48
Last: 372.20000000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.58
Prediction 1 Accuracy
Strong Trade
0.54
Prediction 2 Accuracy
2 0.4
ML Trade Score: 130
ML Pullback Score: 9.71

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 1.44876928
Details
  1. score: 1.06
  2. 1H
  3. ema9 - 375.709
  4. ema21 - 380.076
  5. ema50 - 386.945
  6. ema100 - 394.693
  7. price_ema9_diff - -0.000610236
  8. ema9_ema21_diff - -0.0114905
  9. ema21_ema50_diff - -0.0177512
  10. price_ema100_diff - -0.0486785
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.400214
  14. kc_percentage - 0.292193
  15. kc_width_percentage - 0.0549387
  16. volume_ema_diff - 0.289988
    17. ¸
  17. 15m
  18. ema9 - 372.47
  19. ema21 - 373.881
  20. ema50 - 377.148
  21. ema100 - 380.881
  22. price_ema9_diff - 0.00807936
  23. ema9_ema21_diff - -0.00377403
  24. ema21_ema50_diff - -0.00866101
  25. price_ema100_diff - -0.0141818
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.524179
  29. kc_percentage - 0.660111
  30. kc_width_percentage - 0.0288602
  31. volume_ema_diff - 0.715508
    32. ¸
  32. 5m
  33. ema9 - 373.472
  34. ema21 - 372.206
  35. ema50 - 373.187
  36. ema100 - 375.334
  37. price_ema9_diff - 0.00537548
  38. ema9_ema21_diff - 0.00340205
  39. ema21_ema50_diff - -0.00262948
  40. price_ema100_diff - 0.000386335
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.678552
  44. kc_percentage - 1.06091
  45. kc_width_percentage - 0.015425
  46. volume_ema_diff - 0.309203
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104810
  50. 5m_price_ema100_diff: 0.00554083
  51. 5m_price: 105391
  52. 5m_correlation_with_coin: 0.714782
  53. btc_indicators
  54. 15m_ema100: 104887
  55. 15m_price_ema100_diff: 0.00480933
  56. 15m_price: 105391
  57. btc_indicators
  58. 1H_ema100: 104912
  59. 1H_price_ema100_diff: 0.00456815
  60. 1H_price: 105391
    61. ¸

Short Trade on TAO

The 05 Jun 2025 at 08:42:00

With 3.6813 TAO at 375.48$ per unit.

Position size of 1382.2491 $

Take profit at 372.2203 (0.87 %) and Stop Loss at 377.6532 (0.58 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -82.5 %

Symbol Start at Seach Score Trade Score Trades Count
ALCH 2025-05-20 15:09:00 0.8791 -100 3
DOG 2025-05-29 17:18:33 0.8813 -100 2
PAXG 2025-04-06 21:36:52 0.8747 -100 2
FUN 2025-06-28 10:43:50 0.8684 -100 1
OM 2025-07-01 16:43:44 0.8682 -100 1
POPCAT 2025-05-15 04:46:39 0.8668 40 1
SIREN 2025-04-23 15:14:43 0.8658 -100 1
REZ 2025-05-05 23:45:00 0.8634 -100 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
08:42:00		 05 Jun 2025
09:35:00		 53 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
375.48 377.6532 372.2203 1.5 407.65
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 375.48
  • Stop Loss: 377.6532
  • Take Profit: 372.2203

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 377.6532 - 375.48 = 2.1732

  • Récompense (distance jusqu'au take profit):

    E - TP = 375.48 - 372.2203 = 3.2597

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 3.2597 / 2.1732 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1382.2491 100 3.6813 13.82
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 2.1732

Taille de position = 8 / 2.1732 = 3.68

Taille de position USD = 3.68 x 375.48 = 1381.77

Donc, tu peux acheter 3.68 avec un stoploss a 377.6532

Avec un position size USD de 1381.77$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3.68 x 2.1732 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3.68 x 3.2597 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 3.68
  • Taille de position USD 1381.77
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.87 % 12 $
SL % Target SL $ Target
0.58 % 8 $
PNL PNL %
12.15 $ 0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.45805592543276 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 371.1
            [stop_loss] => 377.7
            [rr_ratio] => 2
            [closed_at] => 2025-06-05 09:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 370
            [stop_loss] => 377.7
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-05 09:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 368.9
            [stop_loss] => 377.7
            [rr_ratio] => 3
            [closed_at] => 2025-06-05 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 367.8
            [stop_loss] => 377.7
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-05 09:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 366.7
            [stop_loss] => 377.7
            [rr_ratio] => 4
            [closed_at] => 2025-06-05 10:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 365.6
            [stop_loss] => 377.7
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-05 10:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 364.5
            [stop_loss] => 377.7
            [rr_ratio] => 5
            [closed_at] => 2025-06-05 13:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 363.4
            [stop_loss] => 377.7
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-05 14:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 362.3
            [stop_loss] => 377.7
            [rr_ratio] => 6
            [closed_at] => 2025-06-05 14:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 361.2
            [stop_loss] => 377.7
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-05 14:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 10.15
            [max_drawdown] => 1.74
            [rr_ratio] => 5.83
            [high] => 377.22000000
            [low] => 365.33000000
            [mfe_pct] => 2.7
            [mae_pct] => 0.46
            [mfe_mae_ratio] => 5.83
            [candles_analyzed] => 24
            [start_at] => 2025-06-05T08:42:00-04:00
            [end_at] => 2025-06-05T10:42:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 14.91
            [max_drawdown] => 1.74
            [rr_ratio] => 8.57
            [high] => 377.22000000
            [low] => 360.57000000
            [mfe_pct] => 3.97
            [mae_pct] => 0.46
            [mfe_mae_ratio] => 8.57
            [candles_analyzed] => 72
            [start_at] => 2025-06-05T08:42:00-04:00
            [end_at] => 2025-06-05T14:42:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 377.83000000
            [high_after] => 377.22000000
            [low_before] => 364.74000000
            [low_after] => 360.57000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)