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Trade

sell - IO

Status
win
2025-05-26 23:20:03
59 minutes
PNL
0.92
Entry: 0.9795
Last: 0.97050000

Results

Status:
win
Trade Type:
sell
Prediction Score: -4.3233
Prediction 1 Accuracy
Weak Trade
0.55
Prediction 2 Accuracy
0 0.45
ML Trade Score: 60
ML Pullback Score: 4.22

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.00400648873
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 0.973374
  4. ema21 - 0.980185
  5. ema50 - 0.984888
  6. ema100 - 1.00985
  7. price_ema9_diff - 0.00629342
  8. ema9_ema21_diff - -0.00694906
  9. ema21_ema50_diff - -0.0047751
  10. price_ema100_diff - -0.0300603
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.494469
  14. kc_percentage - 0.493932
  15. kc_width_percentage - 0.0786655
    16. ¸
  16. 15m
  17. ema9 - 0.970244
  18. ema21 - 0.969968
  19. ema50 - 0.977289
  20. ema100 - 0.986812
  21. price_ema9_diff - 0.00953903
  22. ema9_ema21_diff - 0.000284773
  23. ema21_ema50_diff - -0.00749147
  24. price_ema100_diff - -0.00741018
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.570836
  28. kc_percentage - 0.794987
  29. kc_width_percentage - 0.0334445
    30. ¸
  30. 5m
  31. ema9 - 0.974373
  32. ema21 - 0.970296
  33. ema50 - 0.968814
  34. ema100 - 0.969336
  35. price_ema9_diff - 0.0052614
  36. ema9_ema21_diff - 0.0042013
  37. ema21_ema50_diff - 0.00153025
  38. price_ema100_diff - 0.0104855
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.67452
  42. kc_percentage - 1.07805
  43. kc_width_percentage - 0.0158976
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 108887
  47. 5m_price_ema100_diff: 1.94452E-5
  48. 5m_price: 108890
  49. 5m_correlation_with_coin: 0.680349
  50. btc_indicators
  51. 15m_ema100: 109277
  52. 15m_price_ema100_diff: -0.00354746
  53. 15m_price: 108890
  54. btc_indicators
  55. 1H_ema100: 109169
  56. 1H_price_ema100_diff: -0.00256385
  57. 1H_price: 108890
    58. ¸

Short Trade on IO

The 26 May 2025 at 23:20:03

With 1331.1739 IO at 0.9795$ per unit.

Position size of 1303.8849 $

Take profit at 0.9705 (0.92 %) and Stop Loss at 0.9855 (0.61 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -37.78 %

Symbol Start at Seach Score Trade Score Trades Count
1000BONK 2025-05-26 23:17:13 0.9639 40 2
HBAR 2025-05-26 23:19:09 0.9632 40 1
AVAX 2025-05-26 23:19:36 0.9537 -100 3
DOT 2025-04-27 10:40:24 0.9482 30 1
AI16Z 2025-05-26 23:08:35 0.9468 -100 1
KAS 2025-04-26 18:12:01 0.9454 -100 1
UXLINK 2025-04-12 09:21:15 0.9447 50 1
ARC 2025-03-26 21:10:02 0.9416 -100 2
SWARMS 2025-04-02 11:22:32 0.9409 -100 1

📌 Time Data

Start at Closed at Duration
26 May 2025
23:20:03		 27 May 2025
00:20:00		 59 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9795 0.9855 0.9705 1.5 0.7448
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 0.9795
  • Stop Loss: 0.9855
  • Take Profit: 0.9705

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9855 - 0.9795 = 0.006

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9795 - 0.9705 = 0.009

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.009 / 0.006 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1303.8849 100 1331.1739 13.04
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 0.006

Taille de position = 8 / 0.006 = 1333.33

Taille de position USD = 1333.33 x 0.9795 = 1306

Donc, tu peux acheter 1333.33 avec un stoploss a 0.9855

Avec un position size USD de 1306$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1333.33 x 0.006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1333.33 x 0.009 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1333.33
  • Taille de position USD 1306
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.92 % 11.98 $
SL % Target SL $ Target
0.61 % 7.99 $
PNL PNL %
11.98 $ 0.92
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.040837161817249 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.9675
            [stop_loss] => 0.9855
            [rr_ratio] => 2
            [closed_at] => 2025-05-27 01:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.9645
            [stop_loss] => 0.9855
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-27 01:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.9615
            [stop_loss] => 0.9855
            [rr_ratio] => 3
            [closed_at] => 2025-05-27 01:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.9585
            [stop_loss] => 0.9855
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.9555
            [stop_loss] => 0.9855
            [rr_ratio] => 4
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.9525
            [stop_loss] => 0.9855
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.9495
            [stop_loss] => 0.9855
            [rr_ratio] => 5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.9465
            [stop_loss] => 0.9855
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.9435
            [stop_loss] => 0.9855
            [rr_ratio] => 6
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.9405
            [stop_loss] => 0.9855
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.9375
            [stop_loss] => 0.9855
            [rr_ratio] => 7
            [closed_at] => 2025-05-27 02:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0149
            [max_drawdown] => 0.0013
            [rr_ratio] => 11.46
            [high] => 0.98080000
            [low] => 0.96460000
            [mfe_pct] => 1.52
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 11.46
            [candles_analyzed] => 24
            [start_at] => 2025-05-26T23:20:03-04:00
            [end_at] => 2025-05-27T01:20:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0182
            [max_drawdown] => 0.0502
            [rr_ratio] => 0.36
            [high] => 1.02970000
            [low] => 0.96130000
            [mfe_pct] => 1.86
            [mae_pct] => 5.13
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 72
            [start_at] => 2025-05-26T23:20:03-04:00
            [end_at] => 2025-05-27T05:20:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.98730000
            [high_after] => 1.02970000
            [low_before] => 0.94200000
            [low_after] => 0.96130000
            [is_new_high] => 
            [is_new_low] => 
        )

)