01 Jun 2026 at 13:41:27

Short Trade on TAO (BosPullback)

With 1.36 TAO at 252.31$ per unit. Take profit: 237.579 (5.84 %) & Stop Loss: 258.2024 (2.34 %)

Short BosPullback on TAO (01 Jun 2026 at 13:41:27 to 11:30:00 - 21 hours )

With 1.3577 TAO at 252.31$ per unit.

Position size of 342.5563 $
Take profit at 237.579 (5.84 %) and Stop Loss at 258.2024 (2.34 %)

That's a 2.5 RR Trade
Duration: 21 hours

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 0.51
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime BTC Market Regime V2

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

Score : 2

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium_confirmed

tf_aligned : 1

01/06 13:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down range range moderate grind compression bear_high
70%
01/06 12:00
1h ↓ down transition bearish_transition moderate grind volatile_reversal bear_high
64%
01/06 17:00
15m ↔ neutral range range moderate fading expansion range_high
46%
01/06 17:30
5m ↑ up transition bullish_transition moderate grind normal bull_medium
73%
01/06 17:35

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.86
  3. reason: bos_pullback_short|score=3|shallow|bars_since_bos=4|retests=1|break_atr=1.16|prog=0.35|zone=weak
  4. stop_price: 258.20240283
  5. tp_price: 237.57899292
  6. atr:
  7. score: 0.86
  8. confidence_pre_ob: 0.86
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : pullback_down
  11. confidence : 0.634
  12. trend_strength : -0.1838
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.312
  15. low_delta_atr : -1.8581
  16. current_swing_amp_atr : 4.1122
  17. current_swing_speed : 0.41122
  18. current_swing_efficiency : 0.3751
  19. retracement_ratio : 1.901
  20. extension_ratio : 1.6511
  21. compression_score : 1.0212
  22. swing_entropy : 1
  23. breakout_strength : -0.6978
  24. distance_to_last_high_atr : -1.3645
  25. distance_to_last_low_atr : 2.5559
  26. pivot_count : 30
  27. swing_count : 29
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    243.97
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.523
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3605
  49. scores_strength_score:
    0.5083
  50. scores_quality_score:
    0.3099
  51. scores_cleanliness_score:
    0.2293
  52. scores_structural_quality:
    0.3758
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1488
  55. scores_continuation_score:
    0.4746
  56. scores_structure_score:
    0.3228
  57. scores_volatility_expansion:
    0.916
  58. scores_momentum_type_score:
    0.6298
  59. scores_risk_score:
    0.2942
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0682
  62. features_ema50_slope:
    -0.0487
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.4455
  65. features_price_vs_ema50:
    -0.0701
  66. features_recent_hh_hl_score:
    0.45
  67. features_recent_lh_ll_score:
    0.55
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5413
  72. features_trend_efficiency:
    0.3751
  73. features_impulse_strength:
    4.1122
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.901
  76. features_pullback_depth_atr:
    4.268
  77. features_extension_from_mean:
    -0.0701
  78. features_impulse_decay_score:
    0.1744
  79. features_opposing_wick_pressure:
    0.2917
  80. features_volatility_percentile:
    0.86
  81. features_volatility_delta:
    0.4423
  82. features_body_ratio:
    0.5442
  83. features_closes_position_ratio:
    0.5263
  84. features_slope_consistency:
    0.9344
  85. features_range_position:
    0.2942
  86. features_distance_to_recent_high:
    -5.7764
  87. features_distance_to_recent_low:
    2.4073
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    0
  91. features_htf_trend_strength:
    
                                                                                                                                
  92. features_htf_compression_score:
    
                                                                                                                                
  93. features_htf_entropy_score:
    
                                                                                                                                
  94. features_htf_hh_hl_score:
    
                                                                                                                                
  95. features_htf_state_str:
    
                                                                                                                                
  96. ¸
  97. orderbook_context
  98. obi_top5 : 0.0299
  99. obi_top10 : 0.0132
  100. micro_price : 253.105
  101. spread_pct : 0.019757
  102. mid_price : 253.105
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price :
  107. ask_wall_size :
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0482
  111. obi_top5_std : 0.025
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7110
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_down
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-28 09:00:00
        [price] => 262.8
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 253.49
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-28 21:00:00
        [price] => 264.7
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 253.55
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-29 06:00:00
        [price] => 260.94
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 246.41
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-29 15:00:00
        [price] => 260.21
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-29 21:00:00
        [price] => 245.5
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 253.92
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 246.41
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-30 21:00:00
        [price] => 257.41
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-30 22:00:00
        [price] => 253.02
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-31 03:00:00
        [price] => 260.3
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-31 07:00:00
        [price] => 255.62
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-31 09:00:00
        [price] => 260.27
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-31 16:00:00
        [price] => 249.72
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 258.89
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-01 02:00:00
        [price] => 250.52
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-01 03:00:00
        [price] => 257.79
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 13:00:00
        [price] => 243.97
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-31 17:45:00
        [price] => 253.22
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 19:30:00
        [price] => 250.58
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 21:45:00
        [price] => 256.47
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 22:00:00
        [price] => 254.38
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 23:00:00
        [price] => 258.42
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 23:30:00
        [price] => 254.04
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-01 00:45:00
        [price] => 258.89
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-01 02:00:00
        [price] => 250.52
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-01 03:30:00
        [price] => 257.79
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-01 06:30:00
        [price] => 248.85
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-01 07:15:00
        [price] => 252.1
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-01 08:30:00
        [price] => 248.33
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-01 09:45:00
        [price] => 252.48
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-01 12:00:00
        [price] => 247.79
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-01 12:45:00
        [price] => 251.34
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 13:45:00
        [price] => 243.97
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-01 15:30:00
        [price] => 248.93
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-01 16:15:00
        [price] => 245.54
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 0
  162. bos_level_short : 250.52
  163. strategy_details
  164. levels_hl_price:
    243.97
  165. levels_hl_timestamp: 2026-06-01 13:00:00
  166. levels_hh_price:
    257.79
  167. levels_lh_price:
    257.79
  168. levels_lh_timestamp: 2026-06-01 03:00:00
  169. levels_ll_price:
    243.97
  170. demand_zone :
  171. strategy_details
  172. supply_zone_top:
    260.94
  173. supply_zone_bottom:
    257.23
  174. supply_zone_mid:
    259.085
  175. supply_zone_freshness: weak
  176. supply_zone_strength:
    0.8822
  177. ¸
  178. regimes
  179. 1H : bear_high
  180. 15m : range_high
  181. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 63%

Trend

Trend Strength
-0.184
Persistence
0.500
High Δ ATR
-0.312
Low Δ ATR
-1.858

Current Swing

Amp ATR
4.112
Speed
0.411
Efficiency
0.375

Structure

Retracement
1.901
Extension
1.651
Compression
1.021
Entropy
1.000
Breakout Str.
-0.698
Dist High ATR
-1.365
Dist Low ATR
2.556
30 pivots · 29 swings · Last pivot: ↓ 243.9700 @ bar 145

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 52%

Context

phase transition
structure bearish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum grind
volatility volatile_reversal
risk discount
htf unknown
Scores
Direction Score 0.361
Strength Score 0.508
Quality Score 0.310
Cleanliness Score 0.229
Structural Quality 0.376
Pullback Score 1.000
Exhaustion Score 0.149
Continuation Score 0.475
Structure Score 0.323
Volatility Expansion 0.916
Momentum Type Score 0.630
Risk Score 0.294
Features
Ema20 Slope
-0.068
Ema50 Slope
-0.049
Ema Alignment Score
0.333
Price Vs Ema20
0.446
Price Vs Ema50
-0.070
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
-1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.541
Trend Efficiency
0.375
Impulse Strength
4.112
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.901
Pullback Depth Atr
4.268
Extension From Mean
-0.070
Impulse Decay Score
0.174
Opposing Wick Pressure
0.292
Volatility Percentile
0.860
Volatility Delta
0.442
Body Ratio
0.544
Closes Position Ratio
0.526
Slope Consistency
0.934
Range Position
0.294
Distance To Recent High
-5.776
Distance To Recent Low
2.407
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7110ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 0.030
avg 0.048 ± 0.025
OBI Top 10 0.013

Microstructure

Mid Price
253.1050
Micro Price
253.1050
Spread
0.0198%

📌 Time Data

Start at Closed at Duration
01 Jun 2026
13:41:27
02 Jun 2026
11:30:00
21 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
252.31 258.2024 237.579 2.5 199.06
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 252.31
  • Stop Loss: 258.2024
  • Take Profit: 237.579

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 258.2024 - 252.31 = 5.8924

  • Récompense (distance jusqu'au take profit):

    E - TP = 252.31 - 237.579 = 14.731

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 14.731 / 5.8924 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
342.5563 100 1.3577 3.43
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 5.8924

Taille de position = 8 / 5.8924 = 1.36

Taille de position USD = 1.36 x 252.31 = 343.14

Donc, tu peux acheter 1.36 avec un stoploss a 258.2024

Avec un position size USD de 343.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.36 x 5.8924 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1.36 x 14.731 = 20.03

Si Take Profit atteint, tu gagneras 20.03$

Résumé

  • Taille de position 1.36
  • Taille de position USD 343.14
  • Perte potentielle 8.01
  • Gain potentiel 20.03
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
5.84 % 20 $
SL % Target SL $ Target
2.34 % 8 $
PNL PNL %
20 $ 5.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.835 % 78.57 % 46

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.87
            [max_drawdown] => 4.23
            [rr_ratio] => 0.21
            [high] => 256.54000000
            [low] => 251.44000000
            [mfe_pct] => 0.34
            [mae_pct] => 1.68
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T13:41:27-04:00
            [end_at] => 2026-06-01T15:41:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.65
            [max_drawdown] => 4.63
            [rr_ratio] => 0.57
            [high] => 256.94000000
            [low] => 249.66000000
            [mfe_pct] => 1.05
            [mae_pct] => 1.84
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T13:41:27-04:00
            [end_at] => 2026-06-01T20:41:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 254.86000000
            [high_after] => 256.94000000
            [low_before] => 243.97000000
            [low_after] => 249.66000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?

Quality Rank
#63 / n/a OUT
seuil : top 15 · score du 01/06/2026 13:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime