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Short Trade on PEOPLE

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Short Trade on PEOPLE 30 Sep 2025 at 15:03:54

Take profit at 0.01611 (0.74 %) and Stop Loss at 0.01629 (0.37 %)

Short Trade on PEOPLE

The 30 Sep 2025 at 15:03:54

With 137929.2718 PEOPLE at 0.01623$ per unit.

Position size of 2238.5921 $

Take profit at 0.01611 (0.74 %) and Stop Loss at 0.01629 (0.37 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.22
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.81
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.596102

15m : -0.003326

1H : -0.235891

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 3.866716082E-5
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.0161962
  4. ema21 : 0.0162795
  5. ema50 : 0.016393
  6. ema100 : 0.0164687
  7. price_ema9_diff : 0.00208335
  8. ema9_ema21_diff : -0.0051149
  9. ema21_ema50_diff : -0.00692673
  10. price_ema100_diff : -0.0144954
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.108142
  14. ema_slope_21 : -0.0953046
  15. ema_slope_50 : -0.0605133
  16. ema_slope_100 : -0.0365496
  17. rsi : 0.45054
  18. adx : 0.29192
  19. kc_percentage : 0.428003
  20. kc_width_percentage : 0.037053
  21. volume_ema_diff : -0.0683836
  22. volume_ema1 : 203695.66440387
  23. volume_ema2 : 218647.58314224
  24. chop : 50.6648
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0161629
  28. ema21 : 0.0161579
  29. ema50 : 0.0162164
  30. ema100 : 0.016289
  31. price_ema9_diff : 0.0041457
  32. ema9_ema21_diff : 0.000309967
  33. ema21_ema50_diff : -0.00360759
  34. price_ema100_diff : -0.00362563
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0341372
  38. ema_slope_21 : -0.00516381
  39. ema_slope_50 : -0.0220933
  40. ema_slope_100 : -0.0200701
  41. rsi : 0.550966
  42. adx : 0.117547
  43. kc_percentage : 0.731391
  44. kc_width_percentage : 0.0194966
  45. volume_ema_diff : -0.614558
  46. volume_ema1 : 24542.732055154
  47. volume_ema2 : 63674.317397373
  48. chop : 63.8668
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.016171
  52. ema21 : 0.0161509
  53. ema50 : 0.016143
  54. ema100 : 0.0161696
  55. price_ema9_diff : 0.003645
  56. ema9_ema21_diff : 0.00124485
  57. ema21_ema50_diff : 0.000490679
  58. price_ema100_diff : 0.00372954
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0293709
  62. ema_slope_21 : 0.019596
  63. ema_slope_50 : 0.0073119
  64. ema_slope_100 : -0.000646408
  65. rsi : 0.602369
  66. adx : 0.228325
  67. kc_percentage : 1.03431
  68. kc_width_percentage : 0.00897747
  69. volume_ema_diff : -0.896578
  70. volume_ema1 : 2455.8119079041
  71. volume_ema2 : 23745.69028813
  72. chop : 48.2792
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113157
  77. 5m_price_ema100_diff: 
    0.00538124
  78. 5m_price: 
    113766
  79. 5m_correlation_with_coin: 
    0.596102
  80. btc_indicators
  81. 15m_ema100: 
    113525
  82. 15m_price_ema100_diff: 
    0.00211989
  83. 15m_price: 
    113766
  84. 15m_correlation_with_coin: 
    -0.003326
  85. btc_indicators
  86. 1H_ema100: 
    111764
  87. 1H_price_ema100_diff: 
    0.0179117
  88. 1H_price: 
    113766
  89. 1H_correlation_with_coin: 
    -0.235891
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-27 12:00:00
                    [1] => 0.01704
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-27 13:00:00
                    [1] => 0.01649
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.01681
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.0161
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-28 18:00:00
                    [1] => 0.0169
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 09:00:00
                    [1] => 0.01617
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-29 10:00:00
                    [1] => 0.01683
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-29 16:00:00
                    [1] => 0.01685
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-29 21:00:00
                    [1] => 0.01624
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 11:00:00
                    [1] => 0.01588
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -3.7388724035608
            [ms_dist_from_last_low_pct] => 2.1410579345088
            [ms_bars_since_swing_high] => 23
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 2.2670025188917
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-29 16:45:00
                    [1] => 0.01685
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-29 21:45:00
                    [1] => 0.01624
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-30 00:30:00
                    [1] => 0.01649
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 03:30:00
                    [1] => 0.01628
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 07:00:00
                    [1] => 0.01616
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-30 09:00:00
                    [1] => 0.01612
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.01636
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 11:15:00
                    [1] => 0.01588
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 13:30:00
                    [1] => 0.01622
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.01623
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.061614294516347
            [ms_dist_from_last_low_pct] => 2.1410579345088
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 15
            [ms_last_swing_amplitude_pct] => 0.061652281134421
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-30 10:20:00
                    [1] => 0.01626
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-30 10:55:00
                    [1] => 0.01625
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-30 11:25:00
                    [1] => 0.01588
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-30 12:15:00
                    [1] => 0.01602
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 13:05:00
                    [1] => 0.01617
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 13:40:00
                    [1] => 0.01622
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.01606
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 14:15:00
                    [1] => 0.01619
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:25:00
                    [1] => 0.01619
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.01623
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.061614294516347
            [ms_dist_from_last_low_pct] => 0.99626400996262
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 0.24706609017913
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.06%
Dist From Last Low Pct
1.00%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
0.25%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.18%
TP to Pivot Distance
0.0002
1.43%
DateTime Price Type
2025-09-30 10:20:00 0.01626 ↑ High
2025-09-30 10:55:00 0.01625 ↑ High
2025-09-30 11:25:00 0.01588 ↓ Low
2025-09-30 12:15:00 0.01602 ↓ Low
2025-09-30 13:05:00 0.01617 ↑ High
2025-09-30 13:40:00 0.01622 ↑ High
2025-09-30 14:00:00 0.01606 ↓ Low
2025-09-30 14:15:00 0.01619 ↑ High
2025-09-30 14:25:00 0.01619 ↑ High
2025-09-30 15:00:00 0.01623 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.06%
Dist From Last Low Pct
2.14%
Bars Since Swing High
0 bars
Bars Since Swing Low
15 bars
Last Swing Amplitude Pct
0.06%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0006
3.44%
TP to Pivot Distance
0.0002
1.43%
DateTime Price Type
2025-09-29 16:45:00 0.01685 ↑ High
2025-09-29 21:45:00 0.01624 ↓ Low
2025-09-30 00:30:00 0.01649 ↑ High
2025-09-30 03:30:00 0.01628 ↓ Low
2025-09-30 07:00:00 0.01616 ↓ Low
2025-09-30 09:00:00 0.01612 ↓ Low
2025-09-30 09:45:00 0.01636 ↑ High
2025-09-30 11:15:00 0.01588 ↓ Low
2025-09-30 13:30:00 0.01622 ↑ High
2025-09-30 15:00:00 0.01623 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-3.74%
Dist From Last Low Pct
2.14%
Bars Since Swing High
23 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
2.27%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0008
4.60%
TP to Pivot Distance
0.0002
1.43%
DateTime Price Type
2025-09-27 12:00:00 0.01704 ↑ High
2025-09-27 13:00:00 0.01649 ↓ Low
2025-09-27 18:00:00 0.01681 ↑ High
2025-09-28 08:00:00 0.0161 ↓ Low
2025-09-28 18:00:00 0.0169 ↑ High
2025-09-29 09:00:00 0.01617 ↓ Low
2025-09-29 10:00:00 0.01683 ↑ High
2025-09-29 16:00:00 0.01685 ↑ High
2025-09-29 21:00:00 0.01624 ↓ Low
2025-09-30 11:00:00 0.01588 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:03:54		 30 Sep 2025
15:30:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01623 0.01629 0.01611 2 0.00729
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 0.01623
  • Stop Loss: 0.01629
  • Take Profit: 0.01611

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01629 - 0.01623 = 5.9999999999998E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01623 - 0.01611 = 0.00012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00012 / 5.9999999999998E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
2238.5921 100 137929.2718 22.39
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 5.9999999999998E-5

Taille de position = 8 / 5.9999999999998E-5 = 133333.33

Taille de position USD = 133333.33 x 0.01623 = 2164

Donc, tu peux acheter 133333.33 avec un stoploss a 0.01629

Avec un position size USD de 2164$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 133333.33 x 5.9999999999998E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 133333.33 x 0.00012 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 133333.33
  • Taille de position USD 2164
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.74 % 16.55 $
SL % Target SL $ Target
0.37 % 8.28 $
PNL PNL %
-8.28 $ -0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4929 % 133.32 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01611
            [entry_price] => 0.01623
            [stop_loss] => 0.016296
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01611
            [entry_price] => 0.01623
            [stop_loss] => 0.016302
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01611
            [entry_price] => 0.01623
            [stop_loss] => 0.016308
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01611
            [entry_price] => 0.01623
            [stop_loss] => 0.01632
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 8.0E-5
            [max_drawdown] => 0.00051
            [rr_ratio] => 0.16
            [high] => 0.01674000
            [low] => 0.01615000
            [mfe_pct] => 0.49
            [mae_pct] => 3.14
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:03:54-04:00
            [end_at] => 2025-09-30T17:03:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 8.0E-5
            [max_drawdown] => 0.00052
            [rr_ratio] => 0.15
            [high] => 0.01675000
            [low] => 0.01615000
            [mfe_pct] => 0.49
            [mae_pct] => 3.2
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:03:54-04:00
            [end_at] => 2025-09-30T22:03:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01623000
            [high_after] => 0.01675000
            [low_before] => 0.01588000
            [low_after] => 0.01615000
            [is_new_high] => 
            [is_new_low] => 
        )

)