31 May 2026 at 08:25:58

Long Trade on TAO (BosPullback)

With 2.09 TAO at 259.19$ per unit. Take profit: 271.15 (4.61 %) & Stop Loss: 255.3586 (1.48 %)

Long BosPullback on TAO (31 May 2026 at 08:25:58 to 10:10:00 - 1 hour )

With 2.088 TAO at 259.19$ per unit.

Position size of 541.194 $
Take profit at 271.15 (4.61 %) and Stop Loss at 255.3586 (1.48 %)

That's a 3.12 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.02
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 : range

rules_regime : range_low

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

31/05 08:01

BTC Correlation Coin Market Regime

1H_regime : range_high

15m_regime : bull_medium

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
71%
31/05 08:00
1h ↑ up transition bullish_transition moderate grind normal range_high
51%
31/05 11:00
15m ↑ up range range strong balanced compression bull_medium
75%
31/05 11:45
5m ↑ up range range moderate grind compression range_low
49%
31/05 12:10

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=9|retests=1|break_atr=0.87|prog=0.62|zone=tested
  4. stop_price: 255.35861968
  5. tp_price: 271.15
  6. atr:
  7. score: 0.79
  8. confidence_pre_ob: 0.79
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_up
  11. confidence : 0.664
  12. trend_strength : 0.2571
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.1266
  15. low_delta_atr : 1.0136
  16. current_swing_amp_atr : 1.7609
  17. current_swing_speed : 0.44022
  18. current_swing_efficiency : 0.3426
  19. retracement_ratio : 0.6429
  20. extension_ratio : 1.0661
  21. compression_score : 0.7264
  22. swing_entropy : 1
  23. breakout_strength : -2.1363
  24. distance_to_last_high_atr : -0.7017
  25. distance_to_last_low_atr : 1.1227
  26. pivot_count : 33
  27. swing_count : 32
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    255.62
  31. last_pivot_index:
    144
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.558
  46. state : up_bullish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7145
  49. scores_strength_score:
    0.4927
  50. scores_quality_score:
    0.3469
  51. scores_cleanliness_score:
    0.1945
  52. scores_structural_quality:
    0.4717
  53. scores_pullback_score:
    0.6429
  54. scores_exhaustion_score:
    0.3432
  55. scores_continuation_score:
    0.5578
  56. scores_structure_score:
    0.65
  57. scores_volatility_expansion:
    0.2839
  58. scores_momentum_type_score:
    0.5432
  59. scores_risk_score:
    0.2831
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0726
  62. features_ema50_slope:
    0.0317
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.6816
  65. features_price_vs_ema50:
    0.8551
  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:
    9
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.611
  72. features_trend_efficiency:
    0.3426
  73. features_impulse_strength:
    2.7762
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    0.6429
  76. features_pullback_depth_atr:
    1.7848
  77. features_extension_from_mean:
    0.8551
  78. features_impulse_decay_score:
    0.467
  79. features_opposing_wick_pressure:
    0.3265
  80. features_volatility_percentile:
    0.2
  81. features_volatility_delta:
    -0.0541
  82. features_body_ratio:
    0.3915
  83. features_closes_position_ratio:
    0.5334
  84. features_slope_consistency:
    0.8452
  85. features_range_position:
    0.2831
  86. features_distance_to_recent_high:
    -13.3713
  87. features_distance_to_recent_low:
    5.2803
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    1
  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 : 0.0355
  99. obi_top10 : 0.0355
  100. micro_price : 258.56696559
  101. spread_pct : 0.01934
  102. mid_price : 258.555
  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 : 0.0354
  111. obi_top5_std : 0.0004
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7175
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-27 12:00:00
        [price] => 281.35
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-27 14:00:00
        [price] => 271.56
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 280.11
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-27 18:00:00
        [price] => 267.17
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-27 20:00:00
        [price] => 274.6
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-28 06:00:00
        [price] => 254.69
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-28 09:00:00
        [price] => 262.8
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 253.49
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-28 21:00:00
        [price] => 264.7
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 253.55
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-29 06:00:00
        [price] => 260.94
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 246.41
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-29 15:00:00
        [price] => 260.21
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-29 21:00:00
        [price] => 245.5
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 253.92
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 246.41
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-30 21:00:00
        [price] => 257.41
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-30 22:00:00
        [price] => 253.02
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-31 03:00:00
        [price] => 260.3
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-31 07:00:00
        [price] => 255.62
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-30 13:30:00
        [price] => 251.29
        [kind] => low
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-30 15:00:00
        [price] => 256.28
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-30 15:30:00
        [price] => 252.91
        [kind] => low
        [label] => HL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-30 16:00:00
        [price] => 255.25
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-30 17:30:00
        [price] => 252.47
        [kind] => low
        [label] => HL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-30 19:15:00
        [price] => 254.6
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-30 19:30:00
        [price] => 252.41
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-30 21:30:00
        [price] => 257.41
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-30 22:30:00
        [price] => 253.02
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-30 23:00:00
        [price] => 255.07
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-30 23:30:00
        [price] => 253.12
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-31 01:30:00
        [price] => 258.95
        [kind] => high
        [label] => HH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-31 01:45:00
        [price] => 256.65
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-31 02:45:00
        [price] => 256.43
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-31 03:30:00
        [price] => 260.3
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-31 06:00:00
        [price] => 257.01
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-31 06:45:00
        [price] => 259.89
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-31 07:30:00
        [price] => 255.62
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-31 09:45:00
        [price] => 260.27
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-31 10:15:00
        [price] => 256.39
        [kind] => low
        [label] => HL
    )
    
  163. bos_level_long : 257.41
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    255.62
  167. levels_hl_timestamp: 2026-05-31 07:00:00
  168. levels_hh_price:
    260.3
  169. levels_lh_price:
    260.3
  170. levels_lh_timestamp: 2026-05-31 03:00:00
  171. levels_ll_price:
    255.62
  172. strategy_details
  173. demand_zone_top:
    257.41
  174. demand_zone_bottom:
    253.02
  175. demand_zone_mid:
    255.215
  176. demand_zone_freshness: tested
  177. demand_zone_strength:
    0.777
  178. strategy_details
  179. supply_zone_top:
    260.94
  180. supply_zone_bottom:
    257.23
  181. supply_zone_mid:
    259.085
  182. supply_zone_freshness: weak
  183. supply_zone_strength:
    0.8822
  184. ¸
  185. regimes
  186. 1H : range_high
  187. 15m : bull_medium
  188. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 08:25 259.19000000 0%
2 09:23 258.29000000 -0.347%
3 09:29 258.29000000 -0.347%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 66%

Trend

Trend Strength
0.257
Persistence
0.500
High Δ ATR
1.127
Low Δ ATR
1.014

Current Swing

Amp ATR
1.761
Speed
0.440
Efficiency
0.343

Structure

Retracement
0.643
Extension
1.066
Compression
0.726
Entropy
1.000
Breakout Str.
-2.136
Dist High ATR
-0.702
Dist Low ATR
1.123
33 pivots · 32 swings · Last pivot: ↓ 255.6200 @ bar 144

Trend Analyzer 1H

1H ↑ up up_bullish_transition_grind
Confidence 56%

Context

phase transition
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion low
momentum grind
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.715
Strength Score 0.493
Quality Score 0.347
Cleanliness Score 0.195
Structural Quality 0.472
Pullback Score 0.643
Exhaustion Score 0.343
Continuation Score 0.558
Structure Score 0.650
Volatility Expansion 0.284
Momentum Type Score 0.543
Risk Score 0.283
Features
Ema20 Slope
0.073
Ema50 Slope
0.032
Ema Alignment Score
1.000
Price Vs Ema20
0.682
Price Vs Ema50
0.855
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
1.000
Bars Since Last Bos
9.000
Candle Overlap Ratio
1.000
Wick Ratio
0.611
Trend Efficiency
0.343
Impulse Strength
2.776
Directional Candle Ratio
0.650
Pullback Depth Ratio
0.643
Pullback Depth Atr
1.785
Extension From Mean
0.855
Impulse Decay Score
0.467
Opposing Wick Pressure
0.327
Volatility Percentile
0.200
Volatility Delta
-0.054
Body Ratio
0.392
Closes Position Ratio
0.533
Slope Consistency
0.845
Range Position
0.283
Distance To Recent High
-13.371
Distance To Recent Low
5.280
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7175ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.036
avg 0.035 ± 0.000
OBI Top 10 0.036

Microstructure

Mid Price
258.5550
Micro Price
258.5670
Spread
0.0193%

📌 Time Data

Start at Closed at Duration
31 May 2026
08:25:58
31 May 2026
10:10:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
259.19 255.3586 271.15 3.12 199.08
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 259.19
  • Stop Loss: 255.3586
  • Take Profit: 271.15

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 255.3586 - 259.19 = -3.8314

  • Récompense (distance jusqu'au take profit):

    E - TP = 259.19 - 271.15 = -11.96

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -11.96 / -3.8314 = 3.1216

📌 Position Size

Amount Margin Quantity Leverage
541.194 100 2.088 5.41
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 -3.8314

Taille de position = 8 / -3.8314 = -2.09

Taille de position USD = -2.09 x 259.19 = -541.71

Donc, tu peux acheter -2.09 avec un stoploss a 255.3586

Avec un position size USD de -541.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2.09 x -3.8314 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2.09 x -11.96 = 25

Si Take Profit atteint, tu gagneras 25$

Résumé

  • Taille de position -2.09
  • Taille de position USD -541.71
  • Perte potentielle 8.01
  • Gain potentiel 25
  • Risk-Reward Ratio 3.1216

📌 Peformances

TP % Target TP $ Target
4.61 % 24.97 $
SL % Target SL $ Target
1.48 % 8 $
PNL PNL %
-8 $ -1.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.9291 % 130.5 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 271.15
            [entry_price] => 259.19
            [stop_loss] => 254.97546
            [rr_ratio] => 2.84
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-31 14:10:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 271.15
            [entry_price] => 259.19
            [stop_loss] => 254.59232
            [rr_ratio] => 2.6
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-31 14:10:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 271.15
            [entry_price] => 259.19
            [stop_loss] => 254.20918
            [rr_ratio] => 2.4
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-31 14:10:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 271.15
            [entry_price] => 259.19
            [stop_loss] => 253.4429
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-31 14:15:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.12
            [max_drawdown] => 6.85
            [rr_ratio] => -0.02
            [high] => 259.07000000
            [low] => 252.34000000
            [mfe_pct] => -0.05
            [mae_pct] => 2.64
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 24
            [start_at] => 2026-05-31T08:25:58-04:00
            [end_at] => 2026-05-31T10:25:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.12
            [max_drawdown] => 9.47
            [rr_ratio] => -0.01
            [high] => 259.07000000
            [low] => 249.72000000
            [mfe_pct] => -0.05
            [mae_pct] => 3.65
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 84
            [start_at] => 2026-05-31T08:25:58-04:00
            [end_at] => 2026-05-31T15:25:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 260.27000000
            [high_after] => 259.07000000
            [low_before] => 255.93000000
            [low_after] => 249.72000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#35 / n/a OUT
seuil : top 15 · score du 31/05/2026 08:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime