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Trade

sell - TIA

Status
win
2025-07-05 03:08:26
56 minutes
PNL
0.73
Entry: 1.5148
Last: 1.50400000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.725
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.39
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.004929974738
Details
  1. score: 1.19
  2. 1H
  3. ema9 - 1.50815
  4. ema21 - 1.52334
  5. ema50 - 1.5367
  6. ema100 - 1.50863
  7. price_ema9_diff - 0.0044031
  8. ema9_ema21_diff - -0.00997086
  9. ema21_ema50_diff - -0.00868971
  10. price_ema100_diff - 0.00408437
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.447091
  14. kc_percentage - 0.405758
  15. kc_width_percentage - 0.0505559
  16. volume_ema_diff - -0.492426
  17. volume_ema1 - 521011.15678358
  18. volume_ema2 - 1026474.8702088
    19. ¸
  19. 15m
  20. ema9 - 1.50229
  21. ema21 - 1.50173
  22. ema50 - 1.50995
  23. ema100 - 1.52703
  24. price_ema9_diff - 0.00832668
  25. ema9_ema21_diff - 0.000369136
  26. ema21_ema50_diff - -0.0054419
  27. price_ema100_diff - -0.00801395
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.579602
  31. kc_percentage - 0.856667
  32. kc_width_percentage - 0.0245014
  33. volume_ema_diff - -0.220214
  34. volume_ema1 - 155249.53335361
  35. volume_ema2 - 199092.69462684
    36. ¸
  36. 5m
  37. ema9 - 1.50746
  38. ema21 - 1.50075
  39. ema50 - 1.49925
  40. ema100 - 1.504
  41. price_ema9_diff - 0.00486421
  42. ema9_ema21_diff - 0.00446937
  43. ema21_ema50_diff - 0.00100166
  44. price_ema100_diff - 0.00718026
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.680521
  48. kc_percentage - 1.18835
  49. kc_width_percentage - 0.0131521
  50. volume_ema_diff - -0.551549
  51. volume_ema1 - 27177.55904109
  52. volume_ema2 - 60603.231698601
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108085
  56. 5m_price_ema100_diff: 0.00118618
  57. 5m_price: 108213
  58. 5m_correlation_with_coin: 0.537497
  59. btc_indicators
  60. 15m_ema100: 108163
  61. 15m_price_ema100_diff: 0.000465323
  62. 15m_price: 108213
  63. btc_indicators
  64. 1H_ema100: 108125
  65. 1H_price_ema100_diff: 0.000814739
  66. 1H_price: 108213
    67. ¸

Short Trade on TIA

The 05 Jul 2025 at 03:08:26

With 1081.8176 TIA at 1.5148$ per unit.

Position size of 1638.7373 $

Take profit at 1.5037 (0.73 %) and Stop Loss at 1.5222 (0.49 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -78.33 %

Symbol Start at Seach Score Trade Score Trades Count
MELANIA 2025-08-25 18:51:26 0.8743 -100 2
BGB 2025-06-14 17:55:54 0.8371 -100 3
MBOX 2025-04-07 04:57:08 0.8273 -100 2
BMT 2025-06-21 20:01:38 0.8251 -100 2
PENGU 2025-05-07 14:02:09 0.8262 -100 1
FARTCOIN 2025-07-01 16:51:49 0.8261 30 1

📌 Time Data

Start at Closed at Duration
05 Jul 2025
03:08:26		 05 Jul 2025
04:05:00		 56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.5148 1.5222 1.5037 1.5 1.7184
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 1.5148
  • Stop Loss: 1.5222
  • Take Profit: 1.5037

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.5222 - 1.5148 = 0.0074000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.5148 - 1.5037 = 0.0111

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0111 / 0.0074000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1638.7373 100 1081.8176 16.39
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 0.0074000000000001

Taille de position = 8 / 0.0074000000000001 = 1081.08

Taille de position USD = 1081.08 x 1.5148 = 1637.62

Donc, tu peux acheter 1081.08 avec un stoploss a 1.5222

Avec un position size USD de 1637.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1081.08 x 0.0074000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1081.08 x 0.0111 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1081.08
  • Taille de position USD 1637.62
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.73 % 12.01 $
SL % Target SL $ Target
0.49 % 8.01 $
PNL PNL %
11.9 $ 0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0066 % 1.43 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.501
            [stop_loss] => 1.522
            [rr_ratio] => 2
            [closed_at] => 2025-07-05 04:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.4975
            [stop_loss] => 1.522
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-05 04:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.494
            [stop_loss] => 1.522
            [rr_ratio] => 3
            [closed_at] => 2025-07-05 04:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.4905
            [stop_loss] => 1.522
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-05 06:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.487
            [stop_loss] => 1.522
            [rr_ratio] => 4
            [closed_at] => 2025-07-05 07:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.4835
            [stop_loss] => 1.522
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-05 08:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.48
            [stop_loss] => 1.522
            [rr_ratio] => 5
            [closed_at] => 2025-07-05 08:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.4765
            [stop_loss] => 1.522
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-05 08:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0211
            [max_drawdown] => 0.00029999999999997
            [rr_ratio] => 70.33
            [high] => 1.51510000
            [low] => 1.49370000
            [mfe_pct] => 1.39
            [mae_pct] => 0.02
            [mfe_mae_ratio] => 70.33
            [candles_analyzed] => 24
            [start_at] => 2025-07-05T03:08:26-04:00
            [end_at] => 2025-07-05T05:08:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0406
            [max_drawdown] => 0.00029999999999997
            [rr_ratio] => 100
            [high] => 1.51510000
            [low] => 1.47420000
            [mfe_pct] => 2.68
            [mae_pct] => 0.02
            [mfe_mae_ratio] => 135.33
            [candles_analyzed] => 72
            [start_at] => 2025-07-05T03:08:26-04:00
            [end_at] => 2025-07-05T09:08:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.51730000
            [high_after] => 1.51510000
            [low_before] => 1.47150000
            [low_after] => 1.47420000
            [is_new_high] => 
            [is_new_low] => 
        )

)