17 May 2026 at 14:06:44

Long Trade on ADA (BosPullback)

With 3738.89 ADA at 0.254$ per unit. Take profit: 0.2596 (2 %) & Stop Loss: 0.2524 (0.83 %)

Long BosPullback on ADA (17 May 2026 at 14:06:44 to 19:15:00 - 5 hours )

With 3738.8943 ADA at 0.2545$ per unit.

Position size of 951.5486 $
Take profit at 0.2596 (2 %) and Stop Loss at 0.2524 (0.83 %)

That's a 2.43 RR Trade
Duration: 5 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.54
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_low_vol

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 14:01

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
71%
17/05 13:00
15m ↓ down range range moderate grind normal range_low
49%
17/05 13:45
5m ↓ down range range moderate grind expansion range_low
49%
17/05 14:00

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.72
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=8|retests=1|break_atr=0.58|prog=0.36|zone=tested
  4. stop_price: 0.25236033
  5. tp_price: 0.2596
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
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 : 0.674
  12. trend_strength : -0.163
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2275
  15. low_delta_atr : 0.4332
  16. current_swing_amp_atr : 3.9566
  17. current_swing_speed : 0.49458
  18. current_swing_efficiency : 0.4828
  19. retracement_ratio : 1.4359
  20. extension_ratio : 1.2444
  21. compression_score : 0.8183
  22. swing_entropy : 1
  23. breakout_strength : -1.3719
  24. distance_to_last_high_atr : -2.5994
  25. distance_to_last_low_atr : 1.4441
  26. pivot_count : 17
  27. swing_count : 16
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.2581
  31. last_pivot_index:
    141
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : balanced
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.454
  46. state : down_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3766
  49. scores_strength_score:
    0.5505
  50. scores_quality_score:
    0.3038
  51. scores_cleanliness_score:
    0.2204
  52. scores_structural_quality:
    0.372
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.4063
  55. scores_continuation_score:
    0.4037
  56. scores_structure_score:
    0.5679
  57. scores_volatility_expansion:
    0.3366
  58. scores_momentum_type_score:
    0.4874
  59. scores_risk_score:
    0.0915
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0648
  62. features_ema50_slope:
    -0.0886
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.5893
  65. features_price_vs_ema50:
    -2.1092
  66. features_recent_hh_hl_score:
    0.4286
  67. features_recent_lh_ll_score:
    0.5714
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    8
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5591
  72. features_trend_efficiency:
    0.4828
  73. features_impulse_strength:
    3.9566
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.4359
  76. features_pullback_depth_atr:
    3.7259
  77. features_extension_from_mean:
    -2.1092
  78. features_impulse_decay_score:
    0.3778
  79. features_opposing_wick_pressure:
    0.2824
  80. features_volatility_percentile:
    0.2
  81. features_volatility_delta:
    0.0249
  82. features_body_ratio:
    0.4526
  83. features_closes_position_ratio:
    0.5194
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.0915
  86. features_distance_to_recent_high:
    -19.5533
  87. features_distance_to_recent_low:
    1.9705
  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 : 0.0335
  99. obi_top10 : 0.0199
  100. micro_price : 0.2544309
  101. spread_pct : 0.039308
  102. mid_price : 0.25445
  103. bid_wall_price : 0.252
  104. bid_wall_size : 6018075
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.256
  107. ask_wall_size : 5919870
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0314
  111. obi_top5_std : 0.0015
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6928
  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. strategy_details
  140. pivots_15m_0:
    Array
    (
        [time] => 2026-05-16 14:45:00
        [price] => 0.2557
        [kind] => high
        [label] => 
    )
    
  141. pivots_15m_1:
    Array
    (
        [time] => 2026-05-16 17:30:00
        [price] => 0.254
        [kind] => low
        [label] => LL
    )
    
  142. pivots_15m_2:
    Array
    (
        [time] => 2026-05-16 17:45:00
        [price] => 0.2556
        [kind] => high
        [label] => LH
    )
    
  143. pivots_15m_3:
    Array
    (
        [time] => 2026-05-16 19:00:00
        [price] => 0.2544
        [kind] => low
        [label] => HL
    )
    
  144. pivots_15m_4:
    Array
    (
        [time] => 2026-05-16 20:00:00
        [price] => 0.2553
        [kind] => high
        [label] => LH
    )
    
  145. pivots_15m_5:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 0.2525
        [kind] => low
        [label] => LL
    )
    
  146. pivots_15m_6:
    Array
    (
        [time] => 2026-05-17 01:00:00
        [price] => 0.2563
        [kind] => high
        [label] => HH
    )
    
  147. pivots_15m_7:
    Array
    (
        [time] => 2026-05-17 02:15:00
        [price] => 0.2548
        [kind] => low
        [label] => HL
    )
    
  148. pivots_15m_8:
    Array
    (
        [time] => 2026-05-17 03:30:00
        [price] => 0.2567
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_9:
    Array
    (
        [time] => 2026-05-17 04:45:00
        [price] => 0.2553
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_10:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 0.2581
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_11:
    Array
    (
        [time] => 2026-05-17 07:30:00
        [price] => 0.2559
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_12:
    Array
    (
        [time] => 2026-05-17 08:15:00
        [price] => 0.2571
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_13:
    Array
    (
        [time] => 2026-05-17 09:15:00
        [price] => 0.2544
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_14:
    Array
    (
        [time] => 2026-05-17 09:45:00
        [price] => 0.2558
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_15:
    Array
    (
        [time] => 2026-05-17 10:15:00
        [price] => 0.2534
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_16:
    Array
    (
        [time] => 2026-05-17 11:00:00
        [price] => 0.2555
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_17:
    Array
    (
        [time] => 2026-05-17 11:15:00
        [price] => 0.2543
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_18:
    Array
    (
        [time] => 2026-05-17 12:00:00
        [price] => 0.2555
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_19:
    Array
    (
        [time] => 2026-05-17 13:15:00
        [price] => 0.2532
        [kind] => low
        [label] => LL
    )
    
  160. bos_level_long : 0.2564
  161. bos_level_short : 0
  162. strategy_details
  163. levels_hl_price:
    0.2525
  164. levels_hl_timestamp: 2026-05-16 22:00:00
  165. levels_hh_price:
    0.2581
  166. levels_lh_price:
    0.2581
  167. levels_lh_timestamp: 2026-05-17 06:00:00
  168. levels_ll_price:
    0.2525
  169. strategy_details
  170. demand_zone_top:
    0.2546
  171. demand_zone_bottom:
    0.2525
  172. demand_zone_mid:
    0.25355
  173. demand_zone_freshness: tested
  174. demand_zone_strength:
    0.81
  175. strategy_details
  176. supply_zone_top:
    0.2624
  177. supply_zone_bottom:
    0.2568
  178. supply_zone_mid:
    0.2596
  179. supply_zone_freshness: tested
  180. supply_zone_strength:
    0.6628
  181. ¸
  182. regimes
  183. 1H : bear_medium
  184. 15m : range_low
  185. ¸

Signaux confirmants (5)

# Heure Entry Δ
1 14:06 0.25450000 0%
2 14:58 0.25380000 -0.275%
3 15:02 0.25440000 -0.039%
4 15:08 0.25460000 +0.039%
5 15:12 0.25450000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 67%

Trend

Trend Strength
-0.163
Persistence
0.500
High Δ ATR
1.228
Low Δ ATR
0.433

Current Swing

Amp ATR
3.957
Speed
0.495
Efficiency
0.483

Structure

Retracement
1.436
Extension
1.244
Compression
0.818
Entropy
1.000
Breakout Str.
-1.372
Dist High ATR
-2.599
Dist Low ATR
1.444
17 pivots · 16 swings · Last pivot: ↑ 0.2581 @ bar 141

Trend Analyzer 1H

1H ↓ down down_range_balanced
Confidence 45%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum balanced
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.377
Strength Score 0.551
Quality Score 0.304
Cleanliness Score 0.220
Structural Quality 0.372
Pullback Score 1.000
Exhaustion Score 0.406
Continuation Score 0.404
Structure Score 0.568
Volatility Expansion 0.337
Momentum Type Score 0.487
Risk Score 0.092
Features
Ema20 Slope
-0.065
Ema50 Slope
-0.089
Ema Alignment Score
0.000
Price Vs Ema20
-0.589
Price Vs Ema50
-2.109
Recent Hh Hl Score
0.429
Recent Lh Ll Score
0.571
Last Bos Direction
1.000
Bars Since Last Bos
8.000
Candle Overlap Ratio
1.000
Wick Ratio
0.559
Trend Efficiency
0.483
Impulse Strength
3.957
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.436
Pullback Depth Atr
3.726
Extension From Mean
-2.109
Impulse Decay Score
0.378
Opposing Wick Pressure
0.282
Volatility Percentile
0.200
Volatility Delta
0.025
Body Ratio
0.453
Closes Position Ratio
0.519
Slope Consistency
0.000
Range Position
0.092
Distance To Recent High
-19.553
Distance To Recent Low
1.971
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6928ms Confidence avant OB : 72%72%

Order Book Imbalance

OBI Top 5 0.034
avg 0.031 ± 0.002
OBI Top 10 0.020

Microstructure

Mid Price
0.2545
Micro Price
0.2544
Spread
0.0393%

↑ Bid Wall (Support)

Price
0.2520
Size
6,018,075.00

↓ Ask Wall (Resistance)

Price
0.2560
Size
5,919,870.00

📌 Time Data

Start at Closed at Duration
17 May 2026
14:06:44
17 May 2026
19:15:00
5 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2545 0.2524 0.2596 2.43 0.2195
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 0.2545
  • Stop Loss: 0.2524
  • Take Profit: 0.2596

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2524 - 0.2545 = -0.0021

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2545 - 0.2596 = -0.0051

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0051 / -0.0021 = 2.4286

📌 Position Size

Amount Margin Quantity Leverage
951.5486 100 3738.8943 9.52
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 -0.0021

Taille de position = 8 / -0.0021 = -3809.52

Taille de position USD = -3809.52 x 0.2545 = -969.52

Donc, tu peux acheter -3809.52 avec un stoploss a 0.2524

Avec un position size USD de -969.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3809.52 x -0.0021 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3809.52 x -0.0051 = 19.43

Si Take Profit atteint, tu gagneras 19.43$

Résumé

  • Taille de position -3809.52
  • Taille de position USD -969.52
  • Perte potentielle 8
  • Gain potentiel 19.43
  • Risk-Reward Ratio 2.4286

📌 Peformances

TP % Target TP $ Target
2 % 19.07 $
SL % Target SL $ Target
0.83 % 7.85 $
PNL PNL %
-7.85 $ -0.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2181 % 147.63 % 15

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2596
            [entry_price] => 0.2545
            [stop_loss] => 0.25219
            [rr_ratio] => 2.21
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2596
            [entry_price] => 0.2545
            [stop_loss] => 0.25198
            [rr_ratio] => 2.02
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2596
            [entry_price] => 0.2545
            [stop_loss] => 0.25177
            [rr_ratio] => 1.87
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2596
            [entry_price] => 0.2545
            [stop_loss] => 0.25135
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-17 19:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00090000000000001
            [max_drawdown] => 0.0016
            [rr_ratio] => 0.56
            [high] => 0.25540000
            [low] => 0.25290000
            [mfe_pct] => 0.35
            [mae_pct] => 0.63
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2026-05-17T14:06:44-04:00
            [end_at] => 2026-05-17T16:06:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0015
            [max_drawdown] => 0.0094
            [rr_ratio] => 0.16
            [high] => 0.25600000
            [low] => 0.24510000
            [mfe_pct] => 0.59
            [mae_pct] => 3.69
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2026-05-17T14:06:44-04:00
            [end_at] => 2026-05-17T21:06:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.25550000
            [high_after] => 0.25600000
            [low_before] => 0.25320000
            [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
#36 / 55 OUT
seuil : top 15 · score du 17/05/2026 14:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime