17 May 2026 at 15:53:40

Long Trade on ADA (BosPullback)

With 3150.16 ADA at 0.255$ per unit. Take profit: 0.2596 (1.68 %) & Stop Loss: 0.2528 (0.98 %)

Long BosPullback on ADA (17 May 2026 at 15:53:40 to 19:15:00 - 3 hours )

With 3150.1644 ADA at 0.2553$ per unit.

Position size of 804.237 $
Take profit at 0.2596 (1.68 %) and Stop Loss at 0.2528 (0.98 %)

That's a 1.72 RR Trade
Duration: 3 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.6
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 : bear_low

rules_regime_5m : range_low

Score : 0

ml_regime : range_medium

rules_regime : bear_low

rules_regime_5m : range_low

tf_aligned :

17/05 15:01

BTC Correlation Coin Market Regime

1H_regime : bear_medium

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral range range moderate grind compression bear_high
70%
17/05 12:00
1h ↓ down range range moderate balanced normal bear_medium
70%
17/05 15:00
15m ↓ down transition bearish_transition strong explosive normal range_low
47%
17/05 15:30
5m ↔ neutral range range strong explosive compression range_low
47%
17/05 15:50

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=9|retests=1|break_atr=0.55|prog=0.46|zone=tested
  4. stop_price: 0.25276045
  5. tp_price: 0.2596
  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 : range
  11. confidence : 0.728
  12. trend_strength : -0.1362
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.171
  15. low_delta_atr : 0.2755
  16. current_swing_amp_atr : 3.5532
  17. current_swing_speed : 0.44415
  18. current_swing_efficiency : 0.3768
  19. retracement_ratio : 0.9286
  20. extension_ratio : 1.3333
  21. compression_score : 1.0922
  22. swing_entropy : 1
  23. breakout_strength : -1.9286
  24. distance_to_last_high_atr : -1.9286
  25. distance_to_last_low_atr : 1.6531
  26. pivot_count : 18
  27. swing_count : 17
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.2529
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.416
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4732
  49. scores_strength_score:
    0.5028
  50. scores_quality_score:
    0.3525
  51. scores_cleanliness_score:
    0.2192
  52. scores_structural_quality:
    0.4616
  53. scores_pullback_score:
    0.9286
  54. scores_exhaustion_score:
    0.3247
  55. scores_continuation_score:
    0.4669
  56. scores_structure_score:
    0.5878
  57. scores_volatility_expansion:
    0.5848
  58. scores_momentum_type_score:
    0.4597
  59. scores_risk_score:
    0.1197
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0533
  62. features_ema50_slope:
    -0.0777
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.026
  65. features_price_vs_ema50:
    -1.3134
  66. features_recent_hh_hl_score:
    0.4667
  67. features_recent_lh_ll_score:
    0.5333
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    9
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5617
  72. features_trend_efficiency:
    0.3768
  73. features_impulse_strength:
    3.9566
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    0.9286
  76. features_pullback_depth_atr:
    3.6741
  77. features_extension_from_mean:
    -1.3134
  78. features_impulse_decay_score:
    0.3334
  79. features_opposing_wick_pressure:
    0.3055
  80. features_volatility_percentile:
    0.44
  81. features_volatility_delta:
    0.1812
  82. features_body_ratio:
    0.4629
  83. features_closes_position_ratio:
    0.5399
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.1197
  86. features_distance_to_recent_high:
    -17.3132
  87. features_distance_to_recent_low:
    2.3546
  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 : -0.0229
  99. obi_top10 : -0.0282
  100. micro_price : 0.2552263
  101. spread_pct : 0.039185
  102. mid_price : 0.25525
  103. bid_wall_price : 0.254
  104. bid_wall_size : 4469089
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.256
  107. ask_wall_size : 6743985
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0231
  111. obi_top5_std : 0.0003
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7017
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-11 11:00:00
        [price] => 0.2834
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-12 12:00:00
        [price] => 0.2671
        [kind] => low
        [label] => 
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-13 05:00:00
        [price] => 0.2776
        [kind] => high
        [label] => 
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-13 11:00:00
        [price] => 0.2611
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-13 19:00:00
        [price] => 0.2663
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-13 23:00:00
        [price] => 0.2621
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-14 01:00:00
        [price] => 0.2665
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-14 07:00:00
        [price] => 0.2635
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-14 15:00:00
        [price] => 0.2803
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-15 01:00:00
        [price] => 0.2647
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-15 03:00:00
        [price] => 0.269
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 0.2568
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-15 13:00:00
        [price] => 0.2624
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-16 05:00:00
        [price] => 0.2519
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-16 12:00:00
        [price] => 0.2564
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 0.2525
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 0.2581
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-17 14:00:00
        [price] => 0.2529
        [kind] => low
        [label] => HL
    )
    
  140. strategy_details
  141. pivots_15m_0:
    Array
    (
        [time] => 2026-05-16 17:45:00
        [price] => 0.2556
        [kind] => high
        [label] => 
    )
    
  142. pivots_15m_1:
    Array
    (
        [time] => 2026-05-16 19:00:00
        [price] => 0.2544
        [kind] => low
        [label] => HL
    )
    
  143. pivots_15m_2:
    Array
    (
        [time] => 2026-05-16 20:00:00
        [price] => 0.2553
        [kind] => high
        [label] => LH
    )
    
  144. pivots_15m_3:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 0.2525
        [kind] => low
        [label] => LL
    )
    
  145. pivots_15m_4:
    Array
    (
        [time] => 2026-05-17 01:00:00
        [price] => 0.2563
        [kind] => high
        [label] => HH
    )
    
  146. pivots_15m_5:
    Array
    (
        [time] => 2026-05-17 02:15:00
        [price] => 0.2548
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_6:
    Array
    (
        [time] => 2026-05-17 03:30:00
        [price] => 0.2567
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_7:
    Array
    (
        [time] => 2026-05-17 04:45:00
        [price] => 0.2553
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_8:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 0.2581
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_9:
    Array
    (
        [time] => 2026-05-17 07:30:00
        [price] => 0.2559
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_10:
    Array
    (
        [time] => 2026-05-17 08:15:00
        [price] => 0.2571
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_11:
    Array
    (
        [time] => 2026-05-17 09:15:00
        [price] => 0.2544
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_12:
    Array
    (
        [time] => 2026-05-17 09:45:00
        [price] => 0.2558
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_13:
    Array
    (
        [time] => 2026-05-17 10:15:00
        [price] => 0.2534
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_14:
    Array
    (
        [time] => 2026-05-17 11:00:00
        [price] => 0.2555
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_15:
    Array
    (
        [time] => 2026-05-17 11:15:00
        [price] => 0.2543
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_16:
    Array
    (
        [time] => 2026-05-17 12:00:00
        [price] => 0.2555
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_17:
    Array
    (
        [time] => 2026-05-17 13:15:00
        [price] => 0.2532
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_18:
    Array
    (
        [time] => 2026-05-17 14:00:00
        [price] => 0.2548
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_19:
    Array
    (
        [time] => 2026-05-17 14:15:00
        [price] => 0.2529
        [kind] => low
        [label] => LL
    )
    
  161. bos_level_long : 0.2564
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.2529
  165. levels_hl_timestamp: 2026-05-17 14:00:00
  166. levels_hh_price:
    0.2581
  167. levels_lh_price:
    0.2581
  168. levels_lh_timestamp: 2026-05-17 06:00:00
  169. levels_ll_price:
    0.2529
  170. strategy_details
  171. demand_zone_top:
    0.2546
  172. demand_zone_bottom:
    0.2525
  173. demand_zone_mid:
    0.25355
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.81
  176. strategy_details
  177. supply_zone_top:
    0.2624
  178. supply_zone_bottom:
    0.2568
  179. supply_zone_mid:
    0.2596
  180. supply_zone_freshness: tested
  181. supply_zone_strength:
    0.6628
  182. ¸
  183. regimes
  184. 1H : bear_medium
  185. 15m : range_low
  186. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 15:53 0.25530000 0%
2 15:56 0.25530000 0%
3 15:58 0.25530000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 73%

Trend

Trend Strength
-0.136
Persistence
0.500
High Δ ATR
1.171
Low Δ ATR
0.276

Current Swing

Amp ATR
3.553
Speed
0.444
Efficiency
0.377

Structure

Retracement
0.929
Extension
1.333
Compression
1.092
Entropy
1.000
Breakout Str.
-1.929
Dist High ATR
-1.929
Dist Low ATR
1.653
18 pivots · 17 swings · Last pivot: ↓ 0.2529 @ bar 148

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 42%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.473
Strength Score 0.503
Quality Score 0.353
Cleanliness Score 0.219
Structural Quality 0.462
Pullback Score 0.929
Exhaustion Score 0.325
Continuation Score 0.467
Structure Score 0.588
Volatility Expansion 0.585
Momentum Type Score 0.460
Risk Score 0.120
Features
Ema20 Slope
-0.053
Ema50 Slope
-0.078
Ema Alignment Score
0.333
Price Vs Ema20
0.026
Price Vs Ema50
-1.313
Recent Hh Hl Score
0.467
Recent Lh Ll Score
0.533
Last Bos Direction
1.000
Bars Since Last Bos
9.000
Candle Overlap Ratio
1.000
Wick Ratio
0.562
Trend Efficiency
0.377
Impulse Strength
3.957
Directional Candle Ratio
0.500
Pullback Depth Ratio
0.929
Pullback Depth Atr
3.674
Extension From Mean
-1.313
Impulse Decay Score
0.333
Opposing Wick Pressure
0.306
Volatility Percentile
0.440
Volatility Delta
0.181
Body Ratio
0.463
Closes Position Ratio
0.540
Slope Consistency
0.000
Range Position
0.120
Distance To Recent High
-17.313
Distance To Recent Low
2.355
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7017ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.023
avg -0.023 ± 0.000
OBI Top 10 -0.028

Microstructure

Mid Price
0.2553
Micro Price
0.2552
Spread
0.0392%

↑ Bid Wall (Support)

Price
0.2540
Size
4,469,089.00

↓ Ask Wall (Resistance)

Price
0.2560
Size
6,743,985.00

📌 Time Data

Start at Closed at Duration
17 May 2026
15:53:40
17 May 2026
19:15:00
3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2553 0.2528 0.2596 1.72 0.2213
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 0.2553
  • Stop Loss: 0.2528
  • Take Profit: 0.2596

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2528 - 0.2553 = -0.0025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2553 - 0.2596 = -0.0043

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0043 / -0.0025 = 1.72

📌 Position Size

Amount Margin Quantity Leverage
804.237 100 3150.1644 8.04
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 -0.0025

Taille de position = 8 / -0.0025 = -3200

Taille de position USD = -3200 x 0.2553 = -816.96

Donc, tu peux acheter -3200 avec un stoploss a 0.2528

Avec un position size USD de -816.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3200 x -0.0025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3200 x -0.0043 = 13.76

Si Take Profit atteint, tu gagneras 13.76$

Résumé

  • Taille de position -3200
  • Taille de position USD -816.96
  • Perte potentielle 8
  • Gain potentiel 13.76
  • Risk-Reward Ratio 1.72

📌 Peformances

TP % Target TP $ Target
1.68 % 13.55 $
SL % Target SL $ Target
0.98 % 7.88 $
PNL PNL %
-7.88 $ -0.98
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5276 % 156 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2596
            [entry_price] => 0.2553
            [stop_loss] => 0.25255
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2596
            [entry_price] => 0.2553
            [stop_loss] => 0.2523
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2596
            [entry_price] => 0.2553
            [stop_loss] => 0.25205
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2596
            [entry_price] => 0.2553
            [stop_loss] => 0.25155
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00069999999999998
            [max_drawdown] => 0.001
            [rr_ratio] => 0.7
            [high] => 0.25600000
            [low] => 0.25430000
            [mfe_pct] => 0.27
            [mae_pct] => 0.39
            [mfe_mae_ratio] => 0.7
            [candles_analyzed] => 24
            [start_at] => 2026-05-17T15:53:40-04:00
            [end_at] => 2026-05-17T17:53:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00069999999999998
            [max_drawdown] => 0.0102
            [rr_ratio] => 0.07
            [high] => 0.25600000
            [low] => 0.24510000
            [mfe_pct] => 0.27
            [mae_pct] => 4
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2026-05-17T15:53:40-04:00
            [end_at] => 2026-05-17T22:53:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.25550000
            [high_after] => 0.25600000
            [low_before] => 0.25290000
            [low_after] => 0.24510000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#31 / n/a OUT
seuil : top 15 · score du 17/05/2026 15:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime