Long Trade on NEO 20 Aug 2025 at 14:23:29

Take profit at 6.2204 (0.87 %) and Stop Loss at 6.1314 (0.58 %)

Long Trade on NEO

The 20 Aug 2025 at 14:23:29

With 224.619 NEO at 6.167$ per unit.

Position size of 1385.2254 $

Take profit at 6.2204 (0.87 %) and Stop Loss at 6.1314 (0.58 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 120
ML Pullback Score: 10
Prediction Score: 2.7359
Prediction 1 Probability
Strong Trade
0.65
Prediction 2 Probability
1 0.44
Prediction 3 Probability
1 0.88
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.256814

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.02374391006
Details
  1. score: 2.18
  2. 1H
  3. ema9 : 6.19299
  4. ema21 : 6.11641
  5. ema50 : 6.08771
  6. ema100 : 6.13575
  7. price_ema9_diff : -0.00419701
  8. ema9_ema21_diff : 0.0125202
  9. ema21_ema50_diff : 0.00471459
  10. price_ema100_diff : 0.00509165
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.540661
  14. adx : 0.389356
  15. kc_percentage : 0.587674
  16. kc_width_percentage : 0.0858224
  17. volume_ema_diff : 0.406609
  18. volume_ema1 : 356648.57272037
  19. volume_ema2 : 253551.98620917
  20. ¸
  21. 15m
  22. ema9 : 6.23289
  23. ema21 : 6.22434
  24. ema50 : 6.15005
  25. ema100 : 6.07029
  26. price_ema9_diff : -0.0105721
  27. ema9_ema21_diff : 0.00137355
  28. ema21_ema50_diff : 0.0120795
  29. price_ema100_diff : 0.0159316
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.459731
  33. adx : 0.313254
  34. kc_percentage : 0.222299
  35. kc_width_percentage : 0.0347588
  36. volume_ema_diff : -0.720238
  37. volume_ema1 : 34992.501956256
  38. volume_ema2 : 125079.78910855
  39. ¸
  40. 5m
  41. ema9 : 6.20863
  42. ema21 : 6.23026
  43. ema50 : 6.23367
  44. ema100 : 6.19611
  45. price_ema9_diff : -0.00670641
  46. ema9_ema21_diff : -0.00347111
  47. ema21_ema50_diff : -0.00054725
  48. price_ema100_diff : -0.00469944
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.307447
  52. adx : 0.16935
  53. kc_percentage : -0.180269
  54. kc_width_percentage : 0.0148132
  55. volume_ema_diff : -0.699202
  56. volume_ema1 : 9692.7370934219
  57. volume_ema2 : 32223.419439915
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    113681
  62. 5m_price_ema100_diff:
    -0.00190302
  63. 5m_price:
    113464
  64. 5m_correlation_with_coin:
    0.256814
  65. btc_indicators
  66. 15m_ema100:
    113518
  67. 15m_price_ema100_diff:
    0.000160747
  68. 15m_price:
    113536
  69. btc_indicators
  70. 1H_ema100:
    115199
  71. 1H_price_ema100_diff:
    -0.0150565
  72. 1H_price:
    113464
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
20 Aug 2025
14:23:29
20 Aug 2025
15:10:00
46 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.167 6.1314 6.2204 1.5 2.765
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 6.167
  • Stop Loss: 6.1314
  • Take Profit: 6.2204

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.1314 - 6.167 = -0.0356

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.167 - 6.2204 = -0.0534

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0534 / -0.0356 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1385.2254 100 224.619 13.85
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 -0.0356

Taille de position = 8 / -0.0356 = -224.72

Taille de position USD = -224.72 x 6.167 = -1385.85

Donc, tu peux acheter -224.72 avec un stoploss a 6.1314

Avec un position size USD de -1385.85$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -224.72 x -0.0356 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -224.72 x -0.0534 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -224.72
  • Taille de position USD -1385.85
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.87 % 11.99 $
SL % Target SL $ Target
0.58 % 8 $
PNL PNL %
11.99 $ 0.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1135 % 19.66 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 6.2382
            [stop_loss] => 6.1314
            [rr_ratio] => 2
            [closed_at] => 2025-08-20 15:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 6.256
            [stop_loss] => 6.1314
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-20 15:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 6.2738
            [stop_loss] => 6.1314
            [rr_ratio] => 3
            [closed_at] => 2025-08-20 16:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 6.2916
            [stop_loss] => 6.1314
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-20 16:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 6.3094
            [stop_loss] => 6.1314
            [rr_ratio] => 4
            [closed_at] => 2025-08-20 18:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 6.3272
            [stop_loss] => 6.1314
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-20 19:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 6.345
            [stop_loss] => 6.1314
            [rr_ratio] => 5
            [closed_at] => 2025-08-20 19:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 6.3628
            [stop_loss] => 6.1314
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-20 20:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 6.3806
            [stop_loss] => 6.1314
            [rr_ratio] => 6
            [closed_at] => 2025-08-20 20:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.135
            [max_drawdown] => 0.0069999999999997
            [rr_ratio] => 19.29
            [high] => 6.30200000
            [low] => 6.16000000
            [mfe_pct] => 2.19
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 19.29
            [candles_analyzed] => 24
            [start_at] => 2025-08-20T14:23:29-04:00
            [end_at] => 2025-08-20T16:23:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.433
            [max_drawdown] => 0.0069999999999997
            [rr_ratio] => 61.86
            [high] => 6.60000000
            [low] => 6.16000000
            [mfe_pct] => 7.02
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 61.86
            [candles_analyzed] => 84
            [start_at] => 2025-08-20T14:23:29-04:00
            [end_at] => 2025-08-20T21:23:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.36400000
            [high_after] => 6.39100000
            [low_before] => 6.16700000
            [low_after] => 6.16000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)