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Short Trade on MANA

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Short Trade on MANA 29 Aug 2025 at 08:31:59

Take profit at 0.2859 (0.87 %) and Stop Loss at 0.29 (0.55 %)

Short Trade on MANA

The 29 Aug 2025 at 08:31:59

With 4874.5257 MANA at 0.2884$ per unit.

Position size of 1405.8132 $

Take profit at 0.2859 (0.87 %) and Stop Loss at 0.29 (0.55 %)

That's a 1.56 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 8
Prediction Score: 6.2188
Prediction 1 Probability
Strong Trade
0.96
Prediction 2 Probability
2 0.58
Prediction 3 Probability
1 0.59
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low
BTC Correlation Score

5m : 0.774436

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.001094123547
Details
  1. score: 1.25
  2. 1H
  3. ema9 : 0.286842
  4. ema21 : 0.288811
  5. ema50 : 0.289039
  6. ema100 : 0.287888
  7. price_ema9_diff : 0.00543033
  8. ema9_ema21_diff : -0.00681898
  9. ema21_ema50_diff : -0.000786914
  10. price_ema100_diff : 0.00177577
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.487231
  14. adx : 0.173319
  15. kc_percentage : 0.479135
  16. kc_width_percentage : 0.0542602
  17. volume_ema_diff : 0.373428
  18. volume_ema1 : 358850.65475961
  19. volume_ema2 : 261280.87760314
    20. ¸
  20. 15m
  21. ema9 : 0.285137
  22. ema21 : 0.285344
  23. ema50 : 0.287609
  24. ema100 : 0.289336
  25. price_ema9_diff : 0.0114408
  26. ema9_ema21_diff : -0.00072323
  27. ema21_ema50_diff : -0.0078759
  28. price_ema100_diff : -0.00323519
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.592776
  32. adx : 0.313308
  33. kc_percentage : 0.903302
  34. kc_width_percentage : 0.026936
  35. volume_ema_diff : 1.63041
  36. volume_ema1 : 212468.23204947
  37. volume_ema2 : 80773.776274689
    38. ¸
  38. 5m
  39. ema9 : 0.285196
  40. ema21 : 0.284551
  41. ema50 : 0.284654
  42. ema100 : 0.286419
  43. price_ema9_diff : 0.0112343
  44. ema9_ema21_diff : 0.00226477
  45. ema21_ema50_diff : -0.000360757
  46. price_ema100_diff : 0.00691586
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.724203
  50. adx : 0.208756
  51. kc_percentage : 1.25219
  52. kc_width_percentage : 0.0175937
  53. volume_ema_diff : 4.36461
  54. volume_ema1 : 196217.8643651
  55. volume_ema2 : 36576.308300205
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    110377
  59. 5m_price_ema100_diff: 
    0.00855214
  60. 5m_price: 
    111321
  61. 5m_correlation_with_coin: 
    0.774436
  62. btc_indicators
  63. 15m_ema100: 
    111352
  64. 15m_price_ema100_diff: 
    -0.000273488
  65. 15m_price: 
    111321
  66. btc_indicators
  67. 1H_ema100: 
    111516
  68. 1H_price_ema100_diff: 
    -0.00174836
  69. 1H_price: 
    111321
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
08:31:59		 29 Aug 2025
08:35:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2884 0.29 0.2859 1.56 0.0961
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 0.2884
  • Stop Loss: 0.29
  • Take Profit: 0.2859

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.29 - 0.2884 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2884 - 0.2859 = 0.0025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0025 / 0.0016 = 1.5625

📌 Position Size

Amount Margin Quantity Leverage
1405.8132 100 4874.5257 14.06
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.2884 = 1442

Donc, tu peux acheter 5000 avec un stoploss a 0.29

Avec un position size USD de 1442$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0025 = 12.5

Si Take Profit atteint, tu gagneras 12.5$

Résumé

  • Taille de position 5000
  • Taille de position USD 1442
  • Perte potentielle 8
  • Gain potentiel 12.5
  • Risk-Reward Ratio 1.5625

📌 Peformances

TP % Target TP $ Target
0.87 % 12.19 $
SL % Target SL $ Target
0.55 % 7.8 $
PNL PNL %
12.19 $ 0.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2852
            [stop_loss] => 0.29
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 09:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2844
            [stop_loss] => 0.29
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 09:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2836
            [stop_loss] => 0.29
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 09:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2828
            [stop_loss] => 0.29
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 09:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.282
            [stop_loss] => 0.29
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2812
            [stop_loss] => 0.29
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2804
            [stop_loss] => 0.29
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2796
            [stop_loss] => 0.29
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2788
            [stop_loss] => 0.29
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.278
            [stop_loss] => 0.29
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 14:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0097
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.28780000
            [low] => 0.27870000
            [mfe_pct] => 3.36
            [mae_pct] => -0.21
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T08:31:59-04:00
            [end_at] => 2025-08-29T10:31:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.28780000
            [low] => 0.27740000
            [mfe_pct] => 3.81
            [mae_pct] => -0.21
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T08:31:59-04:00
            [end_at] => 2025-08-29T15:31:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29140000
            [high_after] => 0.28780000
            [low_before] => 0.27920000
            [low_after] => 0.27740000
            [is_new_high] => 
            [is_new_low] => 1
        )

)