Web3Way Logo

Short Trade on THETA

Previous Trade Next Trade

Short Trade on THETA 01 Dec 2025 at 03:44:45

Take profit at 0.3123 (0.89 %) and Stop Loss at 0.3165 (0.44 %)

Short Trade on THETA

The 01 Dec 2025 at 03:44:45

With 5736.8234 THETA at 0.3151$ per unit.

Position size of 1807.673 $

Take profit at 0.3123 (0.89 %) and Stop Loss at 0.3165 (0.44 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 7.6
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.53
Prediction 2 Probability
1 0.56
Prediction 3 Probability
0 0.95
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : bull_low_confirmed
BTC Correlation Score

5m : 0.510551

15m : 0.014205

1H : -0.01007

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.000929666647
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.316598
  4. ema21 : 0.325497
  5. ema50 : 0.33765
  6. ema100 : 0.347259
  7. price_ema9_diff : -0.00473442
  8. ema9_ema21_diff : -0.0273382
  9. ema21_ema50_diff : -0.0359944
  10. price_ema100_diff : -0.0926082
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.612114
  14. ema_slope_21 : -0.456733
  15. ema_slope_50 : -0.289283
  16. ema_slope_100 : -0.183286
  17. rsi : 0.311704
  18. adx : 0.426226
  19. kc_percentage : -0.0234708
  20. kc_width_percentage : 0.0592418
  21. volume_ema_diff : 0.0350547
  22. volume_ema1 : 124352.49152634
  23. volume_ema2 : 120140.98127963
  24. chop : 17.8266
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.312746
  28. ema21 : 0.31365
  29. ema50 : 0.319768
  30. ema100 : 0.327835
  31. price_ema9_diff : 0.00752602
  32. ema9_ema21_diff : -0.0028838
  33. ema21_ema50_diff : -0.0191328
  34. price_ema100_diff : -0.0388462
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00130401
  38. ema_slope_21 : -0.0452526
  39. ema_slope_50 : -0.107959
  40. ema_slope_100 : -0.101013
  41. rsi : 0.445317
  42. adx : 0.371085
  43. kc_percentage : 0.729668
  44. kc_width_percentage : 0.022083
  45. volume_ema_diff : -0.823866
  46. volume_ema1 : 7710.199876136
  47. volume_ema2 : 43774.808807192
  48. chop : 59.4881
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.313442
  52. ema21 : 0.312946
  53. ema50 : 0.312914
  54. ema100 : 0.313503
  55. price_ema9_diff : 0.00528892
  56. ema9_ema21_diff : 0.00158411
  57. ema21_ema50_diff : 0.0001029
  58. price_ema100_diff : 0.00509388
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0490212
  62. ema_slope_21 : 0.0123733
  63. ema_slope_50 : 0.000809132
  64. ema_slope_100 : -0.0044171
  65. rsi : 0.627238
  66. adx : 0.215186
  67. kc_percentage : 1.08659
  68. kc_width_percentage : 0.0115847
  69. volume_ema_diff : -0.467184
  70. volume_ema1 : 4611.4233772574
  71. volume_ema2 : 8654.8214134665
  72. chop : 39.5189
  73. regime : bull_low_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    86620.5
  77. 5m_price_ema100_diff: 
    0.00155255
  78. 5m_price: 
    86755
  79. 5m_correlation_with_coin: 
    0.510551
  80. btc_indicators
  81. 15m_ema100: 
    88820.1
  82. 15m_price_ema100_diff: 
    -0.0256106
  83. 15m_price: 
    86545.4
  84. 15m_correlation_with_coin: 
    0.014205
  85. btc_indicators
  86. 1H_ema100: 
    90289.4
  87. 1H_price_ema100_diff: 
    -0.039146
  88. 1H_price: 
    86755
  89. 1H_correlation_with_coin: 
    -0.01007
    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] => 2025-11-28 22:00:00
                    [1] => 0.3597
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-29 05:00:00
                    [1] => 0.3529
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-29 07:00:00
                    [1] => 0.3587
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-29 15:00:00
                    [1] => 0.3481
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-29 19:00:00
                    [1] => 0.3555
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-29 22:00:00
                    [1] => 0.3443
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-30 03:00:00
                    [1] => 0.3498
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-30 10:00:00
                    [1] => 0.3365
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-30 17:00:00
                    [1] => 0.3437
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-30 23:00:00
                    [1] => 0.307
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -8.2921152167588
            [ms_dist_from_last_low_pct] => 2.671009771987
            [ms_bars_since_swing_high] => 10
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 11.954397394137
            [ms_bos_up] => 0
            [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] => 2025-11-30 11:15:00
                    [1] => 0.3428
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-30 12:15:00
                    [1] => 0.3385
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-30 14:30:00
                    [1] => 0.3389
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-30 15:15:00
                    [1] => 0.3422
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-30 17:00:00
                    [1] => 0.3437
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-30 20:00:00
                    [1] => 0.3104
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-30 23:30:00
                    [1] => 0.307
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-12-01 00:45:00
                    [1] => 0.3168
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-12-01 02:30:00
                    [1] => 0.3105
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-12-01 03:30:00
                    [1] => 0.3154
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.063411540900454
            [ms_dist_from_last_low_pct] => 1.5136876006441
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 1.5780998389694
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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] => 2025-11-30 21:00:00
                    [1] => 0.311
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-30 21:05:00
                    [1] => 0.3139
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-30 21:35:00
                    [1] => 0.3113
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-30 21:40:00
                    [1] => 0.3138
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-30 22:45:00
                    [1] => 0.3111
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-30 23:30:00
                    [1] => 0.307
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-12-01 00:50:00
                    [1] => 0.3168
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-12-01 02:30:00
                    [1] => 0.3105
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-12-01 02:40:00
                    [1] => 0.3105
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-12-01 03:40:00
                    [1] => 0.3154
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.063411540900454
            [ms_dist_from_last_low_pct] => 1.5136876006441
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 1.5780998389694
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.06%
Dist From Last Low Pct
1.51%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
1.58%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0003
0.09%
TP to Pivot Distance
0.0053
1.70%
DateTime Price Type
2025-11-30 21:00:00 0.311 ↓ Low
2025-11-30 21:05:00 0.3139 ↑ High
2025-11-30 21:35:00 0.3113 ↓ Low
2025-11-30 21:40:00 0.3138 ↑ High
2025-11-30 22:45:00 0.3111 ↑ High
2025-11-30 23:30:00 0.307 ↓ Low
2025-12-01 00:50:00 0.3168 ↑ High
2025-12-01 02:30:00 0.3105 ↓ Low
2025-12-01 02:40:00 0.3105 ↓ Low
2025-12-01 03:40:00 0.3154 ↑ 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
1.51%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
1.58%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0272
8.59%
TP to Pivot Distance
0.0053
1.70%
DateTime Price Type
2025-11-30 11:15:00 0.3428 ↑ High
2025-11-30 12:15:00 0.3385 ↓ Low
2025-11-30 14:30:00 0.3389 ↓ Low
2025-11-30 15:15:00 0.3422 ↑ High
2025-11-30 17:00:00 0.3437 ↑ High
2025-11-30 20:00:00 0.3104 ↓ Low
2025-11-30 23:30:00 0.307 ↓ Low
2025-12-01 00:45:00 0.3168 ↑ High
2025-12-01 02:30:00 0.3105 ↓ Low
2025-12-01 03:30:00 0.3154 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-8.29%
Dist From Last Low Pct
2.67%
Bars Since Swing High
10 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
11.95%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0432
13.65%
TP to Pivot Distance
0.0053
1.70%
DateTime Price Type
2025-11-28 22:00:00 0.3597 ↑ High
2025-11-29 05:00:00 0.3529 ↓ Low
2025-11-29 07:00:00 0.3587 ↑ High
2025-11-29 15:00:00 0.3481 ↓ Low
2025-11-29 19:00:00 0.3555 ↑ High
2025-11-29 22:00:00 0.3443 ↓ Low
2025-11-30 03:00:00 0.3498 ↑ High
2025-11-30 10:00:00 0.3365 ↓ Low
2025-11-30 17:00:00 0.3437 ↑ High
2025-11-30 23:00:00 0.307 ↓ Low

📌 Time Data

Start at Closed at Duration
01 Dec 2025
03:44:45		 01 Dec 2025
06:10:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3151 0.3165 0.3123 2 0.1883
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 0.3151
  • Stop Loss: 0.3165
  • Take Profit: 0.3123

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3165 - 0.3151 = 0.0014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3151 - 0.3123 = 0.0028

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0028 / 0.0014 = 2

📌 Position Size

Amount Margin Quantity Leverage
1807.673 100 5736.8234 18.08
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 0.0014

Taille de position = 8 / 0.0014 = 5714.29

Taille de position USD = 5714.29 x 0.3151 = 1800.57

Donc, tu peux acheter 5714.29 avec un stoploss a 0.3165

Avec un position size USD de 1800.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5714.29 x 0.0014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5714.29 x 0.0028 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5714.29
  • Taille de position USD 1800.57
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.89 % 16.06 $
SL % Target SL $ Target
0.44 % 8.03 $
PNL PNL %
16.06 $ 0.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2539 % 57.15 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3123
            [stop_loss] => 0.3165
            [rr_ratio] => 2
            [closed_at] => 2025-12-01 06:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.3116
            [stop_loss] => 0.3165
            [rr_ratio] => 2.5
            [closed_at] => 2025-12-01 06:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3109
            [stop_loss] => 0.3165
            [rr_ratio] => 3
            [closed_at] => 2025-12-01 06:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.3102
            [stop_loss] => 0.3165
            [rr_ratio] => 3.5
            [closed_at] => 2025-12-01 07:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3095
            [stop_loss] => 0.3165
            [rr_ratio] => 4
            [closed_at] => 2025-12-01 07:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.3088
            [stop_loss] => 0.3165
            [rr_ratio] => 4.5
            [closed_at] => 2025-12-01 07:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.3081
            [stop_loss] => 0.3165
            [rr_ratio] => 5
            [closed_at] => 2025-12-01 07:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.3074
            [stop_loss] => 0.3165
            [rr_ratio] => 5.5
            [closed_at] => 2025-12-01 07:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.3067
            [stop_loss] => 0.3165
            [rr_ratio] => 6
            [closed_at] => 2025-12-01 07:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0016
            [max_drawdown] => 0.00080000000000002
            [rr_ratio] => 2
            [high] => 0.31590000
            [low] => 0.31350000
            [mfe_pct] => 0.51
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 24
            [start_at] => 2025-12-01T03:44:45-05:00
            [end_at] => 2025-12-01T05:44:45-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0127
            [max_drawdown] => 0.00080000000000002
            [rr_ratio] => 15.87
            [high] => 0.31590000
            [low] => 0.30240000
            [mfe_pct] => 4.03
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 15.87
            [candles_analyzed] => 84
            [start_at] => 2025-12-01T03:44:45-05:00
            [end_at] => 2025-12-01T10:44:45-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31680000
            [high_after] => 0.31590000
            [low_before] => 0.30820000
            [low_after] => 0.30640000
            [is_new_high] => 
            [is_new_low] => 1
        )

)