Web3Way Logo

Short Trade on TANSSI

Previous Trade Next Trade

Short Trade on TANSSI 30 Oct 2025 at 21:27:40

Take profit at 0.02776 (0.96 %) and Stop Loss at 0.02817 (0.5 %)

Short Trade on TANSSI

The 30 Oct 2025 at 21:27:40

With 58188.9699 TANSSI at 0.02803$ per unit.

Position size of 1631.0368 $

Take profit at 0.02776 (0.96 %) and Stop Loss at 0.02817 (0.5 %)

That's a 1.93 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 70
ML Pullback Score: 7.04
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
0 0.57
Prediction 3 Probability
0 0.8
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.273381

15m : 0.096553

1H : 0.049094

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 9.165540044E-5
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 0.0279175
  4. ema21 : 0.0285591
  5. ema50 : 0.0298514
  6. ema100 : 0.0311485
  7. price_ema9_diff : 0.00402834
  8. ema9_ema21_diff : -0.0224664
  9. ema21_ema50_diff : -0.043289
  10. price_ema100_diff : -0.100118
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.458294
  14. ema_slope_21 : -0.442399
  15. ema_slope_50 : -0.333289
  16. ema_slope_100 : -0.233096
  17. rsi : 0.423591
  18. adx : 0.281565
  19. kc_percentage : 0.341743
  20. kc_width_percentage : 0.106836
  21. volume_ema_diff : -0.725152
  22. volume_ema1 : 48052.918672949
  23. volume_ema2 : 174834.62480802
  24. chop : 52.6855
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0277692
  28. ema21 : 0.0277204
  29. ema50 : 0.0280237
  30. ema100 : 0.028561
  31. price_ema9_diff : 0.00939141
  32. ema9_ema21_diff : 0.00175802
  33. ema21_ema50_diff : -0.0108236
  34. price_ema100_diff : -0.0185933
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0852735
  38. ema_slope_21 : 0.0323219
  39. ema_slope_50 : -0.0476205
  40. ema_slope_100 : -0.0629583
  41. rsi : 0.535157
  42. adx : 0.143469
  43. kc_percentage : 0.826866
  44. kc_width_percentage : 0.034003
  45. volume_ema_diff : -0.973612
  46. volume_ema1 : 1155.5354201921
  47. volume_ema2 : 43791.241975857
  48. chop : 63.9093
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0278868
  52. ema21 : 0.0277982
  53. ema50 : 0.0277035
  54. ema100 : 0.0276473
  55. price_ema9_diff : 0.00513499
  56. ema9_ema21_diff : 0.00318698
  57. ema21_ema50_diff : 0.00341694
  58. price_ema100_diff : 0.0138389
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0655933
  62. ema_slope_21 : 0.034907
  63. ema_slope_50 : 0.0228414
  64. ema_slope_100 : 0.0138602
  65. rsi : 0.62346
  66. adx : 0.19046
  67. kc_percentage : 1.1675
  68. kc_width_percentage : 0.0121248
  69. volume_ema_diff : -0.932941
  70. volume_ema1 : 200.39285617965
  71. volume_ema2 : 2988.3396500087
  72. chop : 39.6242
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    107957
  77. 5m_price_ema100_diff: 
    0.0173366
  78. 5m_price: 
    109829
  79. 5m_correlation_with_coin: 
    0.273381
  80. btc_indicators
  81. 15m_ema100: 
    108696
  82. 15m_price_ema100_diff: 
    0.0110249
  83. 15m_price: 
    109895
  84. 15m_correlation_with_coin: 
    0.096553
  85. btc_indicators
  86. 1H_ema100: 
    111691
  87. 1H_price_ema100_diff: 
    -0.0166704
  88. 1H_price: 
    109829
  89. 1H_correlation_with_coin: 
    0.049094
    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] => 2025-10-28 05:00:00
                    [1] => 0.03191
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-28 10:00:00
                    [1] => 0.03402
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 0.03116
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-29 01:00:00
                    [1] => 0.03129
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-29 04:00:00
                    [1] => 0.03414
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-29 15:00:00
                    [1] => 0.02937
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 02:00:00
                    [1] => 0.03244
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-30 07:00:00
                    [1] => 0.02779
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-30 15:00:00
                    [1] => 0.02681
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 21:00:00
                    [1] => 0.02803
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 4.550540842969
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 4.550540842969
            [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] => 2025-10-30 02:15:00
                    [1] => 0.03244
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-30 07:15:00
                    [1] => 0.02779
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-30 09:45:00
                    [1] => 0.03011
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-30 13:30:00
                    [1] => 0.02698
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-30 15:45:00
                    [1] => 0.02681
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 16:15:00
                    [1] => 0.0278
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-30 17:30:00
                    [1] => 0.02722
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-30 19:45:00
                    [1] => 0.02797
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 20:00:00
                    [1] => 0.02718
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 21:15:00
                    [1] => 0.02803
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 3.1272994849154
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 3.1272994849154
            [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] => 2025-10-30 16:15:00
                    [1] => 0.0278
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-30 17:25:00
                    [1] => 0.02722
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-30 17:35:00
                    [1] => 0.02722
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-30 18:30:00
                    [1] => 0.02777
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 18:40:00
                    [1] => 0.02777
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-30 19:20:00
                    [1] => 0.02785
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-30 19:50:00
                    [1] => 0.02797
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-30 20:00:00
                    [1] => 0.02797
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 20:05:00
                    [1] => 0.02718
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 21:25:00
                    [1] => 0.02803
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 3.1272994849154
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 16
            [ms_last_swing_amplitude_pct] => 3.1272994849154
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [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
0.00%
Dist From Last Low Pct
3.13%
Bars Since Swing High
0 bars
Bars Since Swing Low
16 bars
Last Swing Amplitude Pct
3.13%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.50%
TP to Pivot Distance
0.0006
2.09%
DateTime Price Type
2025-10-30 16:15:00 0.0278 ↑ High
2025-10-30 17:25:00 0.02722 ↓ Low
2025-10-30 17:35:00 0.02722 ↓ Low
2025-10-30 18:30:00 0.02777 ↑ High
2025-10-30 18:40:00 0.02777 ↑ High
2025-10-30 19:20:00 0.02785 ↑ High
2025-10-30 19:50:00 0.02797 ↑ High
2025-10-30 20:00:00 0.02797 ↑ High
2025-10-30 20:05:00 0.02718 ↓ Low
2025-10-30 21:25:00 0.02803 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
0.00%
Dist From Last Low Pct
3.13%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
3.13%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0043
15.16%
TP to Pivot Distance
0.0010
3.42%
DateTime Price Type
2025-10-30 02:15:00 0.03244 ↑ High
2025-10-30 07:15:00 0.02779 ↓ Low
2025-10-30 09:45:00 0.03011 ↑ High
2025-10-30 13:30:00 0.02698 ↓ Low
2025-10-30 15:45:00 0.02681 ↓ Low
2025-10-30 16:15:00 0.0278 ↑ High
2025-10-30 17:30:00 0.02722 ↓ Low
2025-10-30 19:45:00 0.02797 ↑ High
2025-10-30 20:00:00 0.02718 ↓ Low
2025-10-30 21:15:00 0.02803 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
4.55%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
4.55%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0060
21.19%
TP to Pivot Distance
0.0010
3.42%
DateTime Price Type
2025-10-28 05:00:00 0.03191 ↓ Low
2025-10-28 10:00:00 0.03402 ↑ High
2025-10-28 17:00:00 0.03116 ↓ Low
2025-10-29 01:00:00 0.03129 ↓ Low
2025-10-29 04:00:00 0.03414 ↑ High
2025-10-29 15:00:00 0.02937 ↓ Low
2025-10-30 02:00:00 0.03244 ↑ High
2025-10-30 07:00:00 0.02779 ↓ Low
2025-10-30 15:00:00 0.02681 ↓ Low
2025-10-30 21:00:00 0.02803 ↑ High

📌 Time Data

Start at Closed at Duration
30 Oct 2025
21:27:40		 30 Oct 2025
21:40:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02803 0.02817 0.02776 1.93 0.02282
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 0.02803
  • Stop Loss: 0.02817
  • Take Profit: 0.02776

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02817 - 0.02803 = 0.00014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02803 - 0.02776 = 0.00027

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00027 / 0.00014 = 1.9286

📌 Position Size

Amount Margin Quantity Leverage
1631.0368 100 58188.9699 16.31
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 0.00014

Taille de position = 8 / 0.00014 = 57142.86

Taille de position USD = 57142.86 x 0.02803 = 1601.71

Donc, tu peux acheter 57142.86 avec un stoploss a 0.02817

Avec un position size USD de 1601.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 57142.86 x 0.00014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 57142.86 x 0.00027 = 15.43

Si Take Profit atteint, tu gagneras 15.43$

Résumé

  • Taille de position 57142.86
  • Taille de position USD 1601.71
  • Perte potentielle 8
  • Gain potentiel 15.43
  • Risk-Reward Ratio 1.9286

📌 Peformances

TP % Target TP $ Target
0.96 % 15.71 $
SL % Target SL $ Target
0.5 % 8.15 $
PNL PNL %
15.71 $ 0.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02775
            [stop_loss] => 0.02817
            [rr_ratio] => 2
            [closed_at] => 2025-10-30 21:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.02768
            [stop_loss] => 0.02817
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-30 21:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02761
            [stop_loss] => 0.02817
            [rr_ratio] => 3
            [closed_at] => 2025-10-31 02:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.02754
            [stop_loss] => 0.02817
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-31 02:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00036
            [max_drawdown] => 5.0000000000001E-5
            [rr_ratio] => 7.2
            [high] => 0.02808000
            [low] => 0.02767000
            [mfe_pct] => 1.28
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 7.2
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T21:27:40-04:00
            [end_at] => 2025-10-30T23:27:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00052
            [max_drawdown] => 9.9999999999999E-5
            [rr_ratio] => 5.2
            [high] => 0.02813000
            [low] => 0.02751000
            [mfe_pct] => 1.86
            [mae_pct] => 0.36
            [mfe_mae_ratio] => 5.2
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T21:27:40-04:00
            [end_at] => 2025-10-31T04:27:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02803000
            [high_after] => 0.02813000
            [low_before] => 0.02718000
            [low_after] => 0.02751000
            [is_new_high] => 
            [is_new_low] => 
        )

)