01 Jun 2026 at 13:18:55

Short Trade on TAO (BosPullback)

With 1.12 TAO at 251.03$ per unit. Take profit: 233.114 (7.14 %) & Stop Loss: 258.1964 (2.85 %)

Short BosPullback on TAO (01 Jun 2026 at 13:18:55 to 15:30:00 - 1 day )

With 1.1163 TAO at 251.03$ per unit.

Position size of 280.2303 $
Take profit at 233.114 (7.14 %) and Stop Loss at 258.1964 (2.85 %)

That's a 2.5 RR Trade
Duration: 1 day

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 0.11
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 range range strong explosive expansion bear_high_confirmed
74%
01/06 14:00
15m ↓ down transition bearish_transition moderate balanced volatile_reversal bear_high
62%
01/06 15:30
5m ↔ neutral transition bearish_transition moderate balanced compression range_medium
45%
01/06 15:50

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.83
  3. reason: bos_pullback_short|score=4|shallow|bars_since_bos=4|retests=1|break_atr=1.19|prog=0.49|zone=weak|ob:bid_pressure(-0.10)
  4. stop_price: 258.19639061
  5. tp_price: 233.11402346
  6. atr:
  7. score: 0.93
  8. confidence_pre_ob: 0.93
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 : 0.649
  12. trend_strength : -0.1838
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.3202
  15. low_delta_atr : -1.9064
  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 : -0.1484
  24. distance_to_last_high_atr : -1.9675
  25. distance_to_last_low_atr : 2.0548
  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 : early_expansion
  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 : expansion
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.576
  46. state : down_early_expansion_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2752
  49. scores_strength_score:
    0.5258
  50. scores_quality_score:
    0.308
  51. scores_cleanliness_score:
    0.225
  52. scores_structural_quality:
    0.3758
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1923
  55. scores_continuation_score:
    0.4274
  56. scores_structure_score:
    0.3228
  57. scores_volatility_expansion:
    0.904
  58. scores_momentum_type_score:
    0.6178
  59. scores_risk_score:
    0.2305
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0818
  62. features_ema50_slope:
    -0.0553
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.0271
  65. features_price_vs_ema50:
    -0.5973
  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:
    0.5499
  72. features_trend_efficiency:
    0.3751
  73. features_impulse_strength:
    4.1122
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.901
  76. features_pullback_depth_atr:
    4.268
  77. features_extension_from_mean:
    -0.5973
  78. features_impulse_decay_score:
    0.1744
  79. features_opposing_wick_pressure:
    0.2811
  80. features_volatility_percentile:
    0.84
  81. features_volatility_delta:
    0.3781
  82. features_body_ratio:
    0.5326
  83. features_closes_position_ratio:
    0.4927
  84. features_slope_consistency:
    0.9427
  85. features_range_position:
    0.2305
  86. features_distance_to_recent_high:
    -6.5908
  87. features_distance_to_recent_low:
    1.9742
  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 : 0.2354
  99. obi_top10 : 0.2367
  100. micro_price : 250.91335827
  101. spread_pct : 0.003985
  102. mid_price : 250.915
  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 : 0.2095
  111. obi_top5_std : 0.0241
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7251
  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 16:30:00
        [price] => 251.52
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 16:45:00
        [price] => 249.72
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 17:45:00
        [price] => 253.22
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 19:30:00
        [price] => 250.58
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 21:45:00
        [price] => 256.47
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 22:00:00
        [price] => 254.38
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-31 23:00:00
        [price] => 258.42
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-31 23:30:00
        [price] => 254.04
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-01 00:45:00
        [price] => 258.89
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-01 02:00:00
        [price] => 250.52
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-01 03:30:00
        [price] => 257.79
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-01 06:30:00
        [price] => 248.85
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-01 07:15:00
        [price] => 252.1
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-01 08:30:00
        [price] => 248.33
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-01 09:45:00
        [price] => 252.48
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 12:00:00
        [price] => 247.79
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-01 12:45:00
        [price] => 251.34
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-01 13:45:00
        [price] => 243.97
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-01 15:30:00
        [price] => 248.93
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-06-01 16:15:00
        [price] => 245.54
        [kind] => low
        [label] => HL
    )
    
  163. bos_level_long : 0
  164. bos_level_short : 250.52
  165. strategy_details
  166. levels_hl_price:
    243.97
  167. levels_hl_timestamp: 2026-06-01 13:00:00
  168. levels_hh_price:
    257.79
  169. levels_lh_price:
    257.79
  170. levels_lh_timestamp: 2026-06-01 03:00:00
  171. levels_ll_price:
    243.97
  172. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    260.94
  175. supply_zone_bottom:
    257.23
  176. supply_zone_mid:
    259.085
  177. supply_zone_freshness: weak
  178. supply_zone_strength:
    0.8822
  179. ¸
  180. regimes
  181. 1H : bear_high
  182. 15m : range_high
  183. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 13:18 251.03000000 0%
2 13:34 252.21000000 +0.47%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 65%

Trend

Trend Strength
-0.184
Persistence
0.500
High Δ ATR
-0.320
Low Δ ATR
-1.906

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.
-0.148
Dist High ATR
-1.968
Dist Low ATR
2.055
30 pivots · 29 swings · Last pivot: ↓ 243.9700 @ bar 145

Trend Analyzer 1H

1H ↓ down down_early_expansion_grind
Confidence 58%

Context

phase early_expansion
structure bearish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.275
Strength Score 0.526
Quality Score 0.308
Cleanliness Score 0.225
Structural Quality 0.376
Pullback Score 1.000
Exhaustion Score 0.192
Continuation Score 0.427
Structure Score 0.323
Volatility Expansion 0.904
Momentum Type Score 0.618
Risk Score 0.231
Features
Ema20 Slope
-0.082
Ema50 Slope
-0.055
Ema Alignment Score
0.000
Price Vs Ema20
-0.027
Price Vs Ema50
-0.597
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
0.550
Trend Efficiency
0.375
Impulse Strength
4.112
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.901
Pullback Depth Atr
4.268
Extension From Mean
-0.597
Impulse Decay Score
0.174
Opposing Wick Pressure
0.281
Volatility Percentile
0.840
Volatility Delta
0.378
Body Ratio
0.533
Closes Position Ratio
0.493
Slope Consistency
0.943
Range Position
0.231
Distance To Recent High
-6.591
Distance To Recent Low
1.974
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7251ms Confidence avant OB : 93%83%

Order Book Imbalance

OBI Top 5 0.235
avg 0.210 ± 0.024
OBI Top 10 0.237

Microstructure

Mid Price
250.9150
Micro Price
250.9134
Spread
0.0040%

📌 Time Data

Start at Closed at Duration
01 Jun 2026
13:18:55
02 Jun 2026
15:30:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
251.03 258.1964 233.114 2.5 198.84
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 251.03
  • Stop Loss: 258.1964
  • Take Profit: 233.114

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 258.1964 - 251.03 = 7.1664

  • Récompense (distance jusqu'au take profit):

    E - TP = 251.03 - 233.114 = 17.916

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 17.916 / 7.1664 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
280.2303 100 1.1163 2.80
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 7.1664

Taille de position = 8 / 7.1664 = 1.12

Taille de position USD = 1.12 x 251.03 = 281.15

Donc, tu peux acheter 1.12 avec un stoploss a 258.1964

Avec un position size USD de 281.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.12 x 7.1664 = 8.03

Si Stop Loss atteint, tu perdras 8.03$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1.12 x 17.916 = 20.07

Si Take Profit atteint, tu gagneras 20.07$

Résumé

  • Taille de position 1.12
  • Taille de position USD 281.15
  • Perte potentielle 8.03
  • Gain potentiel 20.07
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
7.14 % 20 $
SL % Target SL $ Target
2.85 % 8 $
PNL PNL %
20 $ 7.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3543 % 82.47 % 26

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.12
            [max_drawdown] => 4.06
            [rr_ratio] => -0.03
            [high] => 255.09000000
            [low] => 251.15000000
            [mfe_pct] => -0.05
            [mae_pct] => 1.62
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T13:18:55-04:00
            [end_at] => 2026-06-01T15:18:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.37
            [max_drawdown] => 5.91
            [rr_ratio] => 0.23
            [high] => 256.94000000
            [low] => 249.66000000
            [mfe_pct] => 0.55
            [mae_pct] => 2.35
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T13:18:55-04:00
            [end_at] => 2026-06-01T20:18:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 252.70000000
            [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
83 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime