Trade

buy - IOTA

Status
win
2025-07-09 21:09:21
5 minutes
PNL
0.35
Entry: 0.1709
Last: 0.17150000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.06
Prediction 1 Accuracy
Weak Trade
0.67
Prediction 2 Accuracy
0 0.51
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.000260696332
Details
  1. score: 2.24
  2. 1H
  3. ema9 - 0.170525
  4. ema21 - 0.167948
  5. ema50 - 0.164188
  6. ema100 - 0.161481
  7. price_ema9_diff - 0.00219609
  8. ema9_ema21_diff - 0.0153412
  9. ema21_ema50_diff - 0.0229051
  10. price_ema100_diff - 0.0583224
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.655335
  14. kc_percentage - 0.902866
  15. kc_width_percentage - 0.0400362
  16. volume_ema_diff - -0.498353
  17. volume_ema1 - 60753.048597047
  18. volume_ema2 - 121107.34356016
  19. ¸
  20. 15m
  21. ema9 - 0.171624
  22. ema21 - 0.171393
  23. ema50 - 0.169554
  24. ema100 - 0.167004
  25. price_ema9_diff - -0.00422063
  26. ema9_ema21_diff - 0.00134508
  27. ema21_ema50_diff - 0.0108479
  28. price_ema100_diff - 0.0233228
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.4872
  32. kc_percentage - 0.292259
  33. kc_width_percentage - 0.0153548
  34. volume_ema_diff - -0.66597
  35. volume_ema1 - 11264.124381986
  36. volume_ema2 - 33721.9054897
  37. ¸
  38. 5m
  39. ema9 - 0.171151
  40. ema21 - 0.171651
  41. ema50 - 0.171663
  42. ema100 - 0.170839
  43. price_ema9_diff - -0.00146863
  44. ema9_ema21_diff - -0.00291647
  45. ema21_ema50_diff - -6.6422E-5
  46. price_ema100_diff - 0.000352128
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.335542
  50. kc_percentage - -0.242008
  51. kc_width_percentage - 0.00572297
  52. volume_ema_diff - -0.347883
  53. volume_ema1 - 4048.4243356185
  54. volume_ema2 - 6208.1335987323
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 110680
  59. 5m_price_ema100_diff: 0.00180199
  60. 5m_price: 110880
  61. 5m_correlation_with_coin: 0.541723
  62. btc_indicators
  63. 15m_ema100: 109758
  64. 15m_price_ema100_diff: 0.0102209
  65. 15m_price: 110880
  66. btc_indicators
  67. 1H_ema100: 108881
  68. 1H_price_ema100_diff: 0.0183539
  69. 1H_price: 110880
  70. ¸

Long Trade on IOTA

The 09 Jul 2025 at 21:09:21

With 20460 IOTA at 0.1709$ per unit.

Position size of 3496 $

Take profit at 0.1715 (0.35 %) and Stop Loss at 0.1705 (0.23 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 9.38 %

Symbol Start at Seach Score Trade Score Trades Count
ALGO 2025-07-09 21:06:08 0.9693 30 2
ADA 2025-07-09 20:57:56 0.9659 40 1
DOT 2025-07-09 20:59:02 0.9625 40 1
ETH 2025-06-02 23:29:46 0.961 35 2
BCH 2025-04-04 06:26:39 0.96 -100 2
BTC 2025-04-11 18:40:04 0.9594 -100 1
DMC 2025-06-30 01:05:37 0.9585 90 1
VET 2025-07-09 20:52:17 0.9577 40 1

📌 Time Data

Start at Closed at Duration
09 Jul 2025
21:09:21
09 Jul 2025
21:15:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1709 0.1705 0.1715 1.5 0.1937
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 0.1709
  • Stop Loss: 0.1705
  • Take Profit: 0.1715

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1705 - 0.1709 = -0.00039999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1709 - 0.1715 = -0.00060000000000002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00060000000000002 / -0.00039999999999998 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3496 100 20460 34.96
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 -0.00039999999999998

Taille de position = 8 / -0.00039999999999998 = -20000

Taille de position USD = -20000 x 0.1709 = -3418

Donc, tu peux acheter -20000 avec un stoploss a 0.1705

Avec un position size USD de -3418$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -20000 x -0.00039999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -20000 x -0.00060000000000002 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -20000
  • Taille de position USD -3418
  • 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 % 8.2 $
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] => 0.1717
            [stop_loss] => 0.1705
            [rr_ratio] => 2
            [closed_at] => 2025-07-09 21:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1719
            [stop_loss] => 0.1705
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-09 21:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1721
            [stop_loss] => 0.1705
            [rr_ratio] => 3
            [closed_at] => 2025-07-09 21:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1723
            [stop_loss] => 0.1705
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-09 21:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1725
            [stop_loss] => 0.1705
            [rr_ratio] => 4
            [closed_at] => 2025-07-09 22:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1727
            [stop_loss] => 0.1705
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-09 22:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1729
            [stop_loss] => 0.1705
            [rr_ratio] => 5
            [closed_at] => 2025-07-09 22:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1731
            [stop_loss] => 0.1705
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-09 22:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1733
            [stop_loss] => 0.1705
            [rr_ratio] => 6
            [closed_at] => 2025-07-09 22:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1735
            [stop_loss] => 0.1705
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-09 22:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1737
            [stop_loss] => 0.1705
            [rr_ratio] => 7
            [closed_at] => 2025-07-09 22:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)