14 May 2026 at 15:40:23

Long Trade on HBAR (BosPullback)

With 4245.99 HBAR at 0.0967$ per unit. Take profit: 0.1015 (4.92 %) & Stop Loss: 0.09486 (1.94 %)

Long BosPullback on HBAR (14 May 2026 at 15:40:23 to 19:45:00 - 4 hours )

With 4245.9915 HBAR at 0.09674$ per unit.

Position size of 410.7572 $
Take profit at 0.1015 (4.92 %) and Stop Loss at 0.09486 (1.94 %)

That's a 2.53 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.33
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 : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

Score : 3

ml_regime : bull_medium_confirmed

rules_regime : bull_medium_confirmed

rules_regime_5m : range_low

tf_aligned :

14/05 15:02

BTC Correlation Coin Market Regime

1H_regime : bull_high_confirmed

15m_regime : bull_medium

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=1|retests=1|break_atr=1.54|prog=0.46|zone=tested
  4. stop_price: 0.09485587
  5. tp_price: 0.10145032
  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_up
  11. confidence : 1
  12. trend_strength : 0.1133
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.926
  15. low_delta_atr : 2.4029
  16. current_swing_amp_atr : 3.3667
  17. current_swing_speed : 1.68333
  18. current_swing_efficiency : 0.6616
  19. retracement_ratio : 2.5
  20. extension_ratio : 0.8706
  21. compression_score : 0.9265
  22. swing_entropy : 1
  23. breakout_strength : 0.2018
  24. distance_to_last_high_atr : -1.7242
  25. distance_to_last_low_atr : 1.4858
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.09849
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : strong
  40. exhaustion : medium
  41. momentum_type : explosive
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.605
  46. state : up_bullish_transition_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7099
  49. scores_strength_score:
    0.697
  50. scores_quality_score:
    0.3323
  51. scores_cleanliness_score:
    0.2638
  52. scores_structural_quality:
    0.3883
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.442
  55. scores_continuation_score:
    0.5264
  56. scores_structure_score:
    0.6248
  57. scores_volatility_expansion:
    0.988
  58. scores_momentum_type_score:
    0.6822
  59. scores_risk_score:
    0.6327
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1862
  62. features_ema50_slope:
    0.0786
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.428
  65. features_price_vs_ema50:
    1.7963
  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:
    1
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4725
  72. features_trend_efficiency:
    0.6616
  73. features_impulse_strength:
    4.7324
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    2.5
  76. features_pullback_depth_atr:
    3.9893
  77. features_extension_from_mean:
    1.7963
  78. features_impulse_decay_score:
    0.5647
  79. features_opposing_wick_pressure:
    0.2357
  80. features_volatility_percentile:
    0.98
  81. features_volatility_delta:
    0.6251
  82. features_body_ratio:
    0.6426
  83. features_closes_position_ratio:
    0.54
  84. features_slope_consistency:
    0.4374
  85. features_range_position:
    0.6327
  86. features_distance_to_recent_high:
    -2.2642
  87. features_distance_to_recent_low:
    3.8998
  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 : -0.0528
  99. obi_top10 : -0.0035
  100. micro_price : 0.09659654
  101. spread_pct : 0.010353
  102. mid_price : 0.096595
  103. bid_wall_price : 0.0952
  104. bid_wall_size : 3518805.4
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.0969
  107. ask_wall_size : 3318653.8
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0742
  111. obi_top5_std : 0.0196
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7210
  115. aggregation_tick : 0.0001
  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] => 2026-05-10 23:00:00
        [price] => 0.0949
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-11 06:00:00
        [price] => 0.09724
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-11 10:00:00
        [price] => 0.09507
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-11 11:00:00
        [price] => 0.09735
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-11 15:00:00
        [price] => 0.09576
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-11 20:00:00
        [price] => 0.0973
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-11 21:00:00
        [price] => 0.0952
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-12 01:00:00
        [price] => 0.09664
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-12 07:00:00
        [price] => 0.0939
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-12 08:00:00
        [price] => 0.09525
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-12 12:00:00
        [price] => 0.09254
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-12 22:00:00
        [price] => 0.09511
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-13 01:00:00
        [price] => 0.09401
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-13 05:00:00
        [price] => 0.0956
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-13 11:00:00
        [price] => 0.09146
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-13 18:00:00
        [price] => 0.09399
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-14 05:00:00
        [price] => 0.09237
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-14 11:00:00
        [price] => 0.09639
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 0.09499
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-14 14:00:00
        [price] => 0.09849
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-13 17:00:00
        [price] => 0.0935
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-13 18:00:00
        [price] => 0.09256
        [kind] => low
        [label] => HL
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-13 18:45:00
        [price] => 0.09399
        [kind] => high
        [label] => HH
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-13 20:00:00
        [price] => 0.09314
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-13 22:15:00
        [price] => 0.09394
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-13 23:45:00
        [price] => 0.0925
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-14 01:45:00
        [price] => 0.0936
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-14 03:00:00
        [price] => 0.09266
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-14 03:30:00
        [price] => 0.09318
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-14 04:00:00
        [price] => 0.0927
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-14 04:30:00
        [price] => 0.09314
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-14 05:30:00
        [price] => 0.09237
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-14 06:45:00
        [price] => 0.09318
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-14 08:00:00
        [price] => 0.09269
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-14 09:45:00
        [price] => 0.0951
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-14 10:00:00
        [price] => 0.09408
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-14 11:45:00
        [price] => 0.09639
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-14 12:45:00
        [price] => 0.09499
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-14 13:00:00
        [price] => 0.09685
        [kind] => high
        [label] => HH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-14 14:45:00
        [price] => 0.09849
        [kind] => high
        [label] => HH
    )
    
  163. bos_level_long : 0.09639
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    0.09499
  167. levels_hl_timestamp: 2026-05-14 12:00:00
  168. levels_hh_price:
    0.09849
  169. levels_lh_price:
    0.09849
  170. levels_lh_timestamp: 2026-05-14 14:00:00
  171. levels_ll_price:
    0.09499
  172. strategy_details
  173. demand_zone_top:
    0.09639
  174. demand_zone_bottom:
    0.09499
  175. demand_zone_mid:
    0.09569
  176. demand_zone_freshness: tested
  177. demand_zone_strength:
    0.9191
  178. strategy_details
  179. supply_zone_top:
    0.0996
  180. supply_zone_bottom:
    0.09759
  181. supply_zone_mid:
    0.098595
  182. supply_zone_freshness: weak
  183. supply_zone_strength:
    0.8954
  184. ¸
  185. regimes
  186. 1H : bull_high_confirmed
  187. 15m : bull_medium
  188. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 100%

Trend

Trend Strength
0.113
Persistence
0.500
High Δ ATR
1.926
Low Δ ATR
2.403

Current Swing

Amp ATR
3.367
Speed
1.683
Efficiency
0.662

Structure

Retracement
2.500
Extension
0.871
Compression
0.927
Entropy
1.000
Breakout Str.
0.202
Dist High ATR
-1.724
Dist Low ATR
1.486
27 pivots · 26 swings · Last pivot: ↑ 0.0985 @ bar 148

Trend Analyzer 1H

1H ↑ up up_bullish_transition_explosive
Confidence 61%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength strong
exhaustion medium
momentum explosive
volatility volatile_reversal
risk mid_range
htf unknown
Scores
Direction Score 0.710
Strength Score 0.697
Quality Score 0.332
Cleanliness Score 0.264
Structural Quality 0.388
Pullback Score 1.000
Exhaustion Score 0.442
Continuation Score 0.526
Structure Score 0.625
Volatility Expansion 0.988
Momentum Type Score 0.682
Risk Score 0.633
Features
Ema20 Slope
0.186
Ema50 Slope
0.079
Ema Alignment Score
1.000
Price Vs Ema20
1.428
Price Vs Ema50
1.796
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
1.000
Bars Since Last Bos
1.000
Candle Overlap Ratio
1.000
Wick Ratio
0.473
Trend Efficiency
0.662
Impulse Strength
4.732
Directional Candle Ratio
0.600
Pullback Depth Ratio
2.500
Pullback Depth Atr
3.989
Extension From Mean
1.796
Impulse Decay Score
0.565
Opposing Wick Pressure
0.236
Volatility Percentile
0.980
Volatility Delta
0.625
Body Ratio
0.643
Closes Position Ratio
0.540
Slope Consistency
0.437
Range Position
0.633
Distance To Recent High
-2.264
Distance To Recent Low
3.900
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7210ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 -0.053
avg -0.074 ± 0.020
OBI Top 10 -0.004

Microstructure

Mid Price
0.0966
Micro Price
0.0966
Spread
0.0104%

↑ Bid Wall (Support)

Price
0.0952
Size
3,518,805.40

↓ Ask Wall (Resistance)

Price
0.0969
Size
3,318,653.80

📌 Time Data

Start at Closed at Duration
14 May 2026
15:40:23
14 May 2026
19:45:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.09674 0.09486 0.1015 2.53 0.07803
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 0.09674
  • Stop Loss: 0.09486
  • Take Profit: 0.1015

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09486 - 0.09674 = -0.00188

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.09674 - 0.1015 = -0.00476

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00476 / -0.00188 = 2.5319

📌 Position Size

Amount Margin Quantity Leverage
410.7572 100 4245.9915 4.11
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 -0.00188

Taille de position = 8 / -0.00188 = -4255.32

Taille de position USD = -4255.32 x 0.09674 = -411.66

Donc, tu peux acheter -4255.32 avec un stoploss a 0.09486

Avec un position size USD de -411.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4255.32 x -0.00188 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4255.32 x -0.00476 = 20.26

Si Take Profit atteint, tu gagneras 20.26$

Résumé

  • Taille de position -4255.32
  • Taille de position USD -411.66
  • Perte potentielle 8
  • Gain potentiel 20.26
  • Risk-Reward Ratio 2.5319

📌 Peformances

TP % Target TP $ Target
4.92 % 20.21 $
SL % Target SL $ Target
1.94 % 7.98 $
PNL PNL %
-7.98 $ -1.94
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.1501 % 110.64 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1015
            [entry_price] => 0.09674
            [stop_loss] => 0.094672
            [rr_ratio] => 2.3
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-14 19:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00046
            [max_drawdown] => 0.00185
            [rr_ratio] => -0.25
            [high] => 0.09628000
            [low] => 0.09489000
            [mfe_pct] => -0.48
            [mae_pct] => 1.91
            [mfe_mae_ratio] => -0.25
            [candles_analyzed] => 24
            [start_at] => 2026-05-14T15:40:23-04:00
            [end_at] => 2026-05-14T17:40:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.00046
            [max_drawdown] => 0.00224
            [rr_ratio] => -0.21
            [high] => 0.09628000
            [low] => 0.09450000
            [mfe_pct] => -0.48
            [mae_pct] => 2.32
            [mfe_mae_ratio] => -0.21
            [candles_analyzed] => 84
            [start_at] => 2026-05-14T15:40:23-04:00
            [end_at] => 2026-05-14T22:40:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09849000
            [high_after] => 0.09628000
            [low_before] => 0.09499000
            [low_after] => 0.09466000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#18 / n/a OUT
seuil : top 15 · score du 14/05/2026 15:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
3 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime