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Short Trade on AGT

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Short Trade on AGT 10 Jul 2025 at 12:51:13

Take profit at 0.009866 (1.54 %) and Stop Loss at 0.01012 (1 %)

Short Trade on AGT

The 10 Jul 2025 at 12:51:13

With 79366.8666 AGT at 0.01002$ per unit.

Position size of 795.0179 $

Take profit at 0.009866 (1.54 %) and Stop Loss at 0.01012 (1 %)

That's a 1.54 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 60
ML Pullback Score: 3.25
Prediction Score: 1.7275
Prediction 1 Probability
Strong Trade
0.53
Prediction 2 Probability
1 0.45
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.050713

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 6.719848675E-5
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.00975985
  4. ema21 : 0.0100643
  5. ema50 : 0.0117033
  6. ema100 : 0.0134544
  7. price_ema9_diff : 0.026347
  8. ema9_ema21_diff : -0.0302554
  9. ema21_ema50_diff : -0.140041
  10. price_ema100_diff : -0.25549
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.420604
  14. kc_percentage : 0.500971
  15. kc_width_percentage : 0.131477
  16. volume_ema_diff : -0.491663
  17. volume_ema1 : 163423.39899624
  18. volume_ema2 : 321486.36182453
    19. ¸
  19. 15m
  20. ema9 : 0.00987494
  21. ema21 : 0.00978486
  22. ema50 : 0.00969385
  23. ema100 : 0.00968485
  24. price_ema9_diff : 0.0143854
  25. ema9_ema21_diff : 0.00920604
  26. ema21_ema50_diff : 0.0093887
  27. price_ema100_diff : 0.0342947
  28. all_emas_in_trend : True
  29. all_emas_and_price_in_trend : True
  30. rsi : 0.704938
  31. kc_percentage : 0.96643
  32. kc_width_percentage : 0.0484789
  33. volume_ema_diff : -0.570253
  34. volume_ema1 : 23988.884024069
  35. volume_ema2 : 55821.018819486
    36. ¸
  36. 5m
  37. ema9 : 0.00994034
  38. ema21 : 0.00986936
  39. ema50 : 0.00979125
  40. ema100 : 0.00971787
  41. price_ema9_diff : 0.0077111
  42. ema9_ema21_diff : 0.00719274
  43. ema21_ema50_diff : 0.00797738
  44. price_ema100_diff : 0.0307805
  45. all_emas_in_trend : True
  46. all_emas_and_price_in_trend : True
  47. rsi : 0.671193
  48. kc_percentage : 1.04535
  49. kc_width_percentage : 0.0262708
  50. volume_ema_diff : -0.363567
  51. volume_ema1 : 8295.3948396288
  52. volume_ema2 : 13034.206139995
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 
    111272
  56. 5m_price_ema100_diff: 
    0.0107133
  57. 5m_price: 
    112464
  58. 5m_correlation_with_coin: 
    0.050713
  59. btc_indicators
  60. 15m_ema100: 
    110804
  61. 15m_price_ema100_diff: 
    0.0149817
  62. 15m_price: 
    112464
  63. btc_indicators
  64. 1H_ema100: 
    109563
  65. 1H_price_ema100_diff: 
    0.0264758
  66. 1H_price: 
    112464
    67. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Jul 2025
12:51:13		 10 Jul 2025
13:25:00		 33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01002 0.01012 0.009866 1.54 0.004422
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 0.01002
  • Stop Loss: 0.01012
  • Take Profit: 0.009866

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01012 - 0.01002 = 0.0001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01002 - 0.009866 = 0.000154

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.000154 / 0.0001 = 1.54

📌 Position Size

Amount Margin Quantity Leverage
795.0179 100 79366.8666 7.95
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 0.0001

Taille de position = 8 / 0.0001 = 80000

Taille de position USD = 80000 x 0.01002 = 801.6

Donc, tu peux acheter 80000 avec un stoploss a 0.01012

Avec un position size USD de 801.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 0.0001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.000154 = 12.32

Si Take Profit atteint, tu gagneras 12.32$

Résumé

  • Taille de position 80000
  • Taille de position USD 801.6
  • Perte potentielle 8
  • Gain potentiel 12.32
  • Risk-Reward Ratio 1.54

📌 Peformances

TP % Target TP $ Target
1.54 % 12.22 $
SL % Target SL $ Target
1 % 7.94 $
PNL PNL %
12.22 $ 1.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4291 % 43 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.00982
            [stop_loss] => 0.01012
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 14:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.00977
            [stop_loss] => 0.01012
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 15:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.00972
            [stop_loss] => 0.01012
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 15:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.00967
            [stop_loss] => 0.01012
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 18:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.00962
            [stop_loss] => 0.01012
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 18:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.00957
            [stop_loss] => 0.01012
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 18:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.00952
            [stop_loss] => 0.01012
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 18:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.00947
            [stop_loss] => 0.01012
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 18:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.00942
            [stop_loss] => 0.01012
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 18:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.00937
            [stop_loss] => 0.01012
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-10 18:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.00932
            [stop_loss] => 0.01012
            [rr_ratio] => 7
            [closed_at] => 2025-07-10 18:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000243
            [max_drawdown] => 9.2E-5
            [rr_ratio] => 2.64
            [high] => 0.01011200
            [low] => 0.00977700
            [mfe_pct] => 2.43
            [mae_pct] => 0.92
            [mfe_mae_ratio] => 2.64
            [candles_analyzed] => 24
            [start_at] => 2025-07-10T12:51:13-04:00
            [end_at] => 2025-07-10T14:51:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000303
            [max_drawdown] => 0.00016
            [rr_ratio] => 1.89
            [high] => 0.01018000
            [low] => 0.00971700
            [mfe_pct] => 3.02
            [mae_pct] => 1.6
            [mfe_mae_ratio] => 1.89
            [candles_analyzed] => 72
            [start_at] => 2025-07-10T12:51:13-04:00
            [end_at] => 2025-07-10T18:51:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01007600
            [high_after] => 0.01018000
            [low_before] => 0.00952800
            [low_after] => 0.00971700
            [is_new_high] => 
            [is_new_low] => 
        )

)