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Trade

sell - IOTX

Status
win
2025-05-30 07:54:38
10 minutes
PNL
0.90
Entry: 0.02121
Last: 0.02102000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.1281
Prediction 1 Probability
Strong Trade
0.68
Prediction 2 Probability
1 0.62
Prediction 3 Probability
n/a
ML Trade Score: 130
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: 8.481419684E-5
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.0211787
  4. ema21 - 0.0215833
  5. ema50 - 0.0218713
  6. ema100 - 0.0217119
  7. price_ema9_diff - 0.00147604
  8. ema9_ema21_diff - -0.0187459
  9. ema21_ema50_diff - -0.0131678
  10. price_ema100_diff - -0.0231174
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.426816
  14. kc_percentage - 0.309172
  15. kc_width_percentage - 0.0857331
    16. ¸
  16. 15m
  17. ema9 - 0.0209996
  18. ema21 - 0.0210081
  19. ema50 - 0.0213057
  20. ema100 - 0.021821
  21. price_ema9_diff - 0.0100153
  22. ema9_ema21_diff - -0.000405484
  23. ema21_ema50_diff - -0.0139647
  24. price_ema100_diff - -0.0280021
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.553544
  28. kc_percentage - 0.81667
  29. kc_width_percentage - 0.0310511
    30. ¸
  30. 5m
  31. ema9 - 0.0211034
  32. ema21 - 0.0210015
  33. ema50 - 0.020967
  34. ema100 - 0.0210667
  35. price_ema9_diff - 0.00504947
  36. ema9_ema21_diff - 0.00485065
  37. ema21_ema50_diff - 0.00164766
  38. price_ema100_diff - 0.00680215
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.666742
  42. kc_percentage - 1.10964
  43. kc_width_percentage - 0.0156779
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105638
  47. 5m_price_ema100_diff: 0.0019491
  48. 5m_price: 105843
  49. 5m_correlation_with_coin: 0.452106
  50. btc_indicators
  51. 15m_ema100: 106249
  52. 15m_price_ema100_diff: -0.00381339
  53. 15m_price: 105843
  54. btc_indicators
  55. 1H_ema100: 107738
  56. 1H_price_ema100_diff: -0.0175833
  57. 1H_price: 105843
    58. ¸

Short Trade on IOTX

The 30 May 2025 at 07:54:38

With 62882.5542 IOTX at 0.02121$ per unit.

Position size of 1333.739 $

Take profit at 0.02102 (0.9 %) and Stop Loss at 0.02134 (0.61 %)

That's a 1.46 RR Trade

📌 Similar Trades

Similar Trade Score: -42.86 %

Symbol Start at Seach Score Trade Score Trades Count
BMT 2025-06-30 08:46:57 0.8945 -100 3
XCN 2025-08-19 23:04:38 0.8957 30 1
HYPE 2025-05-17 20:55:37 0.8955 -100 1
WLD 2025-05-19 09:43:45 0.89 -100 2
VIRTUAL 2025-05-05 18:11:16 0.8868 -100 2
BABY 2025-08-11 12:07:37 0.8778 30 1
MEW 2025-05-04 10:55:26 0.8759 40 1

📌 Time Data

Start at Closed at Duration
30 May 2025
07:54:38		 30 May 2025
08:05:00		 10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02121 0.02134 0.02102 1.46 0.02903
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 0.02121
  • Stop Loss: 0.02134
  • Take Profit: 0.02102

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02134 - 0.02121 = 0.00013

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02121 - 0.02102 = 0.00019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00019 / 0.00013 = 1.4615

📌 Position Size

Amount Margin Quantity Leverage
1333.739 100 62882.5542 13.34
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 0.00013

Taille de position = 8 / 0.00013 = 61538.46

Taille de position USD = 61538.46 x 0.02121 = 1305.23

Donc, tu peux acheter 61538.46 avec un stoploss a 0.02134

Avec un position size USD de 1305.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 61538.46 x 0.00013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 61538.46 x 0.00019 = 11.69

Si Take Profit atteint, tu gagneras 11.69$

Résumé

  • Taille de position 61538.46
  • Taille de position USD 1305.23
  • Perte potentielle 8
  • Gain potentiel 11.69
  • Risk-Reward Ratio 1.4615

📌 Peformances

TP % Target TP $ Target
0.9 % 11.95 $
SL % Target SL $ Target
0.61 % 8.17 $
PNL PNL %
11.95 $ 0.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02095
            [stop_loss] => 0.02134
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 08:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.020885
            [stop_loss] => 0.02134
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 08:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02082
            [stop_loss] => 0.02134
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 08:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.020755
            [stop_loss] => 0.02134
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 12:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.02069
            [stop_loss] => 0.02134
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.020625
            [stop_loss] => 0.02134
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.02056
            [stop_loss] => 0.02134
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.020495
            [stop_loss] => 0.02134
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.02043
            [stop_loss] => 0.02134
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.020365
            [stop_loss] => 0.02134
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00042
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.02121000
            [low] => 0.02079000
            [mfe_pct] => 1.98
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T07:54:38-04:00
            [end_at] => 2025-05-30T09:54:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00091
            [max_drawdown] => 9.9999999999996E-6
            [rr_ratio] => 91
            [high] => 0.02122000
            [low] => 0.02030000
            [mfe_pct] => 4.29
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 91
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T07:54:38-04:00
            [end_at] => 2025-05-30T13:54:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02123000
            [high_after] => 0.02122000
            [low_before] => 0.02058000
            [low_after] => 0.02030000
            [is_new_high] => 
            [is_new_low] => 1
        )

)