Trade

buy - IOTA

Status
win
2025-07-09 21:03:37
11 minutes
PNL
0.35
Entry: 0.1708
Last: 0.17140000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3417
Prediction 1 Accuracy
Weak Trade
0.76
Prediction 2 Accuracy
0 0.54
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.37
  4. atr: 0.0002730388351
Details
  1. score: 2.37
  2. 1H
  3. ema9 - 0.170505
  4. ema21 - 0.167939
  5. ema50 - 0.164184
  6. ema100 - 0.16148
  7. price_ema9_diff - 0.00172716
  8. ema9_ema21_diff - 0.015277
  9. ema21_ema50_diff - 0.0228742
  10. price_ema100_diff - 0.0577161
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.652837
  14. kc_percentage - 0.889643
  15. kc_width_percentage - 0.0400597
  16. volume_ema_diff - -0.504735
  17. volume_ema1 - 59932.347655417
  18. volume_ema2 - 121010.7905082
  19. ¸
  20. 15m
  21. ema9 - 0.171604
  22. ema21 - 0.171384
  23. ema50 - 0.16955
  24. ema100 - 0.167002
  25. price_ema9_diff - -0.00468731
  26. ema9_ema21_diff - 0.0012815
  27. ema21_ema50_diff - 0.0108177
  28. price_ema100_diff - 0.0227361
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.478631
  32. kc_percentage - 0.257781
  33. kc_width_percentage - 0.0153638
  34. volume_ema_diff - -0.689418
  35. volume_ema1 - 10443.423440356
  36. volume_ema2 - 33625.352437743
  37. ¸
  38. 5m
  39. ema9 - 0.171214
  40. ema21 - 0.171727
  41. ema50 - 0.171686
  42. ema100 - 0.170783
  43. price_ema9_diff - -0.00241918
  44. ema9_ema21_diff - -0.00298697
  45. ema21_ema50_diff - 0.000234301
  46. price_ema100_diff - 9.71809E-5
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.311097
  50. kc_percentage - -0.365506
  51. kc_width_percentage - 0.00610232
  52. volume_ema_diff - -0.17095
  53. volume_ema1 - 5183.631345836
  54. volume_ema2 - 6252.500742102
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 110674
  59. 5m_price_ema100_diff: 0.00163141
  60. 5m_price: 110855
  61. 5m_correlation_with_coin: 0.537893
  62. btc_indicators
  63. 15m_ema100: 109757
  64. 15m_price_ema100_diff: 0.0100021
  65. 15m_price: 110855
  66. btc_indicators
  67. 1H_ema100: 108881
  68. 1H_price_ema100_diff: 0.0181335
  69. 1H_price: 110855
  70. ¸

Long Trade on IOTA

The 09 Jul 2025 at 21:03:37

With 19530 IOTA at 0.1708$ per unit.

Position size of 3336 $

Take profit at 0.1714 (0.35 %) and Stop Loss at 0.1704 (0.23 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 21.88 %

Symbol Start at Seach Score Trade Score Trades Count
ADA 2025-07-09 20:57:56 0.9723 40 1
ALGO 2025-07-09 21:06:08 0.9667 30 2
DOT 2025-07-09 20:59:02 0.9684 40 1
VET 2025-07-09 20:52:17 0.9634 40 1
ETH 2025-06-02 23:29:46 0.9621 35 2
ONDO 2025-07-09 20:54:35 0.9614 40 1
BCH 2025-04-04 06:26:39 0.9601 -100 2
SHIB 2025-07-09 21:02:20 0.9601 50 1

📌 Time Data

Start at Closed at Duration
09 Jul 2025
21:03:37
09 Jul 2025
21:15:00
11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1708 0.1704 0.1714 1.5 0.1914
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 0.1708
  • Stop Loss: 0.1704
  • Take Profit: 0.1714

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1704 - 0.1708 = -0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1708 - 0.1714 = -0.00059999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00059999999999999 / -0.00040000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3336 100 19530 33.36
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 -0.00040000000000001

Taille de position = 8 / -0.00040000000000001 = -20000

Taille de position USD = -20000 x 0.1708 = -3416

Donc, tu peux acheter -20000 avec un stoploss a 0.1704

Avec un position size USD de -3416$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -20000 x -0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -20000 x -0.00059999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -20000
  • Taille de position USD -3416
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.35 % 12 $
SL % Target SL $ Target
0.23 % 7.8 $
PNL PNL %
12 $ 0.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1716
            [stop_loss] => 0.1704
            [rr_ratio] => 2
            [closed_at] => 2025-07-09 21:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1718
            [stop_loss] => 0.1704
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-09 21:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.172
            [stop_loss] => 0.1704
            [rr_ratio] => 3
            [closed_at] => 2025-07-09 21:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1722
            [stop_loss] => 0.1704
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-09 21:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1724
            [stop_loss] => 0.1704
            [rr_ratio] => 4
            [closed_at] => 2025-07-09 22:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1726
            [stop_loss] => 0.1704
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-09 22:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1728
            [stop_loss] => 0.1704
            [rr_ratio] => 5
            [closed_at] => 2025-07-09 22:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.173
            [stop_loss] => 0.1704
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-09 22:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1732
            [stop_loss] => 0.1704
            [rr_ratio] => 6
            [closed_at] => 2025-07-09 22:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1734
            [stop_loss] => 0.1704
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-09 22:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1736
            [stop_loss] => 0.1704
            [rr_ratio] => 7
            [closed_at] => 2025-07-09 22:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)