Trade

buy - TIA

Status
win
2025-07-27 21:44:57
45 minutes
PNL
1.12
Entry: 2.0342
Last: 2.05690000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.15
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.56
Prediction 3 Probability
1 0.55
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.01009045319
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 2.03667
  4. ema21 - 2.01109
  5. ema50 - 1.97356
  6. ema100 - 1.94536
  7. price_ema9_diff - -0.00121538
  8. ema9_ema21_diff - 0.0127179
  9. ema21_ema50_diff - 0.0190185
  10. price_ema100_diff - 0.0456657
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.610418
  14. adx - 0.348708
  15. kc_percentage - 0.675689
  16. kc_width_percentage - 0.0595667
  17. volume_ema_diff - -0.0712257
  18. volume_ema1 - 1181405.098828
  19. volume_ema2 - 1272004.6230395
  20. ¸
  21. 15m
  22. ema9 - 2.05585
  23. ema21 - 2.04919
  24. ema50 - 2.02831
  25. ema100 - 2.00432
  26. price_ema9_diff - -0.0105316
  27. ema9_ema21_diff - 0.003249
  28. ema21_ema50_diff - 0.0102931
  29. price_ema100_diff - 0.0149059
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.482007
  33. adx - 0.223815
  34. kc_percentage - 0.267722
  35. kc_width_percentage - 0.0333744
  36. volume_ema_diff - -0.325687
  37. volume_ema1 - 199366.47728434
  38. volume_ema2 - 295658.73650586
  39. ¸
  40. 5m
  41. ema9 - 2.04754
  42. ema21 - 2.05588
  43. ema50 - 2.0526
  44. ema100 - 2.04105
  45. price_ema9_diff - -0.00651989
  46. ema9_ema21_diff - -0.00405208
  47. ema21_ema50_diff - 0.00159574
  48. price_ema100_diff - -0.00336075
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.351705
  52. adx - 0.258962
  53. kc_percentage - -0.0326928
  54. kc_width_percentage - 0.0197586
  55. volume_ema_diff - 0.748731
  56. volume_ema1 - 185065.11003031
  57. volume_ema2 - 105828.22248854
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 119265
  62. 5m_price_ema100_diff: -0.00177503
  63. 5m_price: 119053
  64. 5m_correlation_with_coin: 0.629894
  65. btc_indicators
  66. 15m_ema100: 118707
  67. 15m_price_ema100_diff: 0.00338208
  68. 15m_price: 119109
  69. btc_indicators
  70. 1H_ema100: 118076
  71. 1H_price_ema100_diff: 0.00827789
  72. 1H_price: 119053
  73. ¸

Long Trade on TIA

The 27 Jul 2025 at 21:44:57

With 528.5524 TIA at 2.0342$ per unit.

Position size of 1075.1813 $

Take profit at 2.0569 (1.12 %) and Stop Loss at 2.0191 (0.74 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -5 %

Symbol Start at Seach Score Trade Score Trades Count
GALA 2025-07-27 21:39:25 0.9415 30 2
PEOPLE 2025-07-27 21:39:41 0.9312 -20 2
PEOPLE 2025-08-13 02:16:35 0.9067 30 1
ICP 2025-07-27 21:39:01 0.9269 70 2
MANA 2025-07-27 21:39:19 0.9252 30 2
LDO 2025-07-27 21:43:47 0.9239 80 1
ARC 2025-08-06 17:42:42 0.913 -100 1
LINK 2025-08-17 14:56:40 0.9067 30 1
AI16Z 2025-08-17 13:59:34 0.904 -100 1
ALGO 2025-08-17 13:44:26 0.904 -100 1

📌 Time Data

Start at Closed at Duration
27 Jul 2025
21:44:57
27 Jul 2025
22:30:00
45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.0342 2.0191 2.0569 1.5 1.7649
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 2.0342
  • Stop Loss: 2.0191
  • Take Profit: 2.0569

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.0191 - 2.0342 = -0.0151

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.0342 - 2.0569 = -0.0227

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0227 / -0.0151 = 1.5033

📌 Position Size

Amount Margin Quantity Leverage
1075.1813 100 528.5524 10.75
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 -0.0151

Taille de position = 8 / -0.0151 = -529.8

Taille de position USD = -529.8 x 2.0342 = -1077.72

Donc, tu peux acheter -529.8 avec un stoploss a 2.0191

Avec un position size USD de -1077.72$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -529.8 x -0.0151 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -529.8 x -0.0227 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position -529.8
  • Taille de position USD -1077.72
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.5033

📌 Peformances

TP % Target TP $ Target
1.12 % 12 $
SL % Target SL $ Target
0.74 % 7.98 $
PNL PNL %
12 $ 1.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3195 % 43.04 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.0644
            [stop_loss] => 2.0191
            [rr_ratio] => 2
            [closed_at] => 2025-07-27 22:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.07195
            [stop_loss] => 2.0191
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-27 22:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.0795
            [stop_loss] => 2.0191
            [rr_ratio] => 3
            [closed_at] => 2025-07-28 00:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.08705
            [stop_loss] => 2.0191
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-28 00:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.0946
            [stop_loss] => 2.0191
            [rr_ratio] => 4
            [closed_at] => 2025-07-28 00:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.10215
            [stop_loss] => 2.0191
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-28 00:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.1097
            [stop_loss] => 2.0191
            [rr_ratio] => 5
            [closed_at] => 2025-07-28 01:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.11725
            [stop_loss] => 2.0191
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-28 02:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0452
            [max_drawdown] => 0.0065
            [rr_ratio] => 6.95
            [high] => 2.07940000
            [low] => 2.02770000
            [mfe_pct] => 2.22
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 6.95
            [candles_analyzed] => 24
            [start_at] => 2025-07-27T21:44:57-04:00
            [end_at] => 2025-07-27T23:44:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0856
            [max_drawdown] => 0.0065
            [rr_ratio] => 13.17
            [high] => 2.11980000
            [low] => 2.02770000
            [mfe_pct] => 4.21
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 13.17
            [candles_analyzed] => 84
            [start_at] => 2025-07-27T21:44:57-04:00
            [end_at] => 2025-07-28T04:44:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.09650000
            [high_after] => 2.11980000
            [low_before] => 2.01300000
            [low_after] => 2.02770000
            [is_new_high] => 1
            [is_new_low] => 
        )

)