Short Trade on NEO 22 Sep 2025 at 16:58:16

Take profit at 5.9253 (0.72 %) and Stop Loss at 5.9893 (0.36 %)

Short Trade on NEO

The 22 Sep 2025 at 16:58:16

With 375.0447 NEO at 5.968$ per unit.

Position size of 2238.2669 $

Take profit at 5.9253 (0.72 %) and Stop Loss at 5.9893 (0.36 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.64
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.56
Prediction 2 Probability
0 0.47
Prediction 3 Probability
1 0.6
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.623286

15m : -0.013646

1H : -0.150543

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.01422052612
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 5.95036
  4. ema21 : 6.06073
  5. ema50 : 6.26744
  6. ema100 : 6.44165
  7. price_ema9_diff : 0.00296313
  8. ema9_ema21_diff : -0.0182102
  9. ema21_ema50_diff : -0.0329813
  10. price_ema100_diff : -0.0735302
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.295383
  14. ema_slope_21 : -0.337661
  15. ema_slope_50 : -0.255877
  16. ema_slope_100 : -0.170081
  17. rsi : 0.352448
  18. adx : 0.724736
  19. kc_percentage : 0.21693
  20. kc_width_percentage : 0.0492559
  21. volume_ema_diff : -0.275086
  22. volume_ema1 : 101051.07541868
  23. volume_ema2 : 139397.34420518
  24. chop : 70.0343
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 5.92687
  29. ema21 : 5.92722
  30. ema50 : 5.97849
  31. ema100 : 6.09013
  32. price_ema9_diff : 0.00693848
  33. ema9_ema21_diff : -5.80714E-5
  34. ema21_ema50_diff : -0.00857608
  35. price_ema100_diff : -0.0200538
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0183553
  39. ema_slope_21 : -0.0134175
  40. ema_slope_50 : -0.0489479
  41. ema_slope_100 : -0.0624117
  42. rsi : 0.570186
  43. adx : 0.343569
  44. kc_percentage : 0.904735
  45. kc_width_percentage : 0.0172024
  46. volume_ema_diff : -0.679015
  47. volume_ema1 : 11264.193386875
  48. volume_ema2 : 35092.613082743
  49. chop : 55.9909
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 5.94668
  54. ema21 : 5.92987
  55. ema50 : 5.9241
  56. ema100 : 5.93101
  57. price_ema9_diff : 0.00358365
  58. ema9_ema21_diff : 0.00283629
  59. ema21_ema50_diff : 0.000973838
  60. price_ema100_diff : 0.00623642
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0696821
  64. ema_slope_21 : 0.0331007
  65. ema_slope_50 : 0.0103462
  66. ema_slope_100 : 0.00122507
  67. rsi : 0.719238
  68. adx : 0.258319
  69. kc_percentage : 1.1714
  70. kc_width_percentage : 0.00932819
  71. volume_ema_diff : -0.589279
  72. volume_ema1 : 3018.9793395505
  73. volume_ema2 : 7350.450877873
  74. chop : 26.4881
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112506
  80. 5m_price_ema100_diff:
    0.0023984
  81. 5m_price:
    112776
  82. 5m_correlation_with_coin:
    0.623286
  83. btc_indicators
  84. 15m_ema100:
    113306
  85. 15m_price_ema100_diff:
    -0.00635826
  86. 15m_price:
    112586
  87. 15m_correlation_with_coin:
    -0.013646
  88. btc_indicators
  89. 1H_ema100:
    115050
  90. 1H_price_ema100_diff:
    -0.019768
  91. 1H_price:
    112776
  92. 1H_correlation_with_coin:
    -0.150543
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:58:16
22 Sep 2025
17:25:00
26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.968 5.9893 5.9253 2 2.545
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 5.968
  • Stop Loss: 5.9893
  • Take Profit: 5.9253

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.9893 - 5.968 = 0.0213

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.968 - 5.9253 = 0.0427

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0427 / 0.0213 = 2.0047

📌 Position Size

Amount Margin Quantity Leverage
2238.2669 100 375.0447 22.38
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 0.0213

Taille de position = 8 / 0.0213 = 375.59

Taille de position USD = 375.59 x 5.968 = 2241.52

Donc, tu peux acheter 375.59 avec un stoploss a 5.9893

Avec un position size USD de 2241.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 375.59 x 0.0213 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 375.59 x 0.0427 = 16.04

Si Take Profit atteint, tu gagneras 16.04$

Résumé

  • Taille de position 375.59
  • Taille de position USD 2241.52
  • Perte potentielle 8
  • Gain potentiel 16.04
  • Risk-Reward Ratio 2.0047

📌 Peformances

TP % Target TP $ Target
0.72 % 16.01 $
SL % Target SL $ Target
0.36 % 7.99 $
PNL PNL %
-7.99 $ -0.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4357 % 122.08 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.9253
            [entry_price] => 5.968
            [stop_loss] => 5.99143
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.9253
            [entry_price] => 5.968
            [stop_loss] => 5.99356
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.9253
            [entry_price] => 5.968
            [stop_loss] => 5.99569
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.9253
            [entry_price] => 5.968
            [stop_loss] => 5.99995
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0069999999999997
            [max_drawdown] => 0.04
            [rr_ratio] => 0.17
            [high] => 6.00800000
            [low] => 5.96100000
            [mfe_pct] => 0.12
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:58:16-04:00
            [end_at] => 2025-09-22T18:58:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.123
            [max_drawdown] => 0.049
            [rr_ratio] => 2.51
            [high] => 6.01700000
            [low] => 5.84500000
            [mfe_pct] => 2.06
            [mae_pct] => 0.82
            [mfe_mae_ratio] => 2.51
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:58:16-04:00
            [end_at] => 2025-09-22T23:58:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.97900000
            [high_after] => 6.01700000
            [low_before] => 5.86700000
            [low_after] => 5.87300000
            [is_new_high] => 
            [is_new_low] => 
        )

)