01 Jun 2026 at 05:51:04

Long Trade on SAHARA (BosPullback)

With 4665.02 SAHARA at 0.0337$ per unit. Take profit: 0.03795 (12.75 %) & Stop Loss: 0.03195 (5.08 %)

Long BosPullback on SAHARA (01 Jun 2026 at 05:51:04 to 19:30:00 - 1 day )

With 4665.0222 SAHARA at 0.03366$ per unit.

Position size of 157.0246 $
Take profit at 0.03795 (12.75 %) and Stop Loss at 0.03195 (5.08 %)

That's a 2.51 RR Trade
Duration: 1 day

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 4.52
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 : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

01/06 05:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h
1h ↔ neutral range bullish_transition moderate fading expansion_after_compression range_high
46%
31/05 20:00
15m ↔ neutral range range moderate grind volatile_reversal range_high
42%
31/05 21:00
5m ↔ neutral transition bearish_transition moderate grind compression range_medium
42%
31/05 21:10

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=5|retests=1|break_atr=0.48|prog=0.64|zone=weak|ob:bid_pressure(+0.07)
  4. stop_price: 0.03194511
  5. tp_price: 0.03794722
  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 : 0.66
  12. trend_strength : -0.1699
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.679
  15. low_delta_atr : -1.2536
  16. current_swing_amp_atr : 3.5015
  17. current_swing_speed : 1.16716
  18. current_swing_efficiency : 0.5224
  19. retracement_ratio : 1.6
  20. extension_ratio : 2.3704
  21. compression_score : 1.2715
  22. swing_entropy : 1
  23. breakout_strength : -0.901
  24. distance_to_last_high_atr : -1.1883
  25. distance_to_last_low_atr : 2.1546
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.03204
  31. last_pivot_index:
    147
  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 : volatile_reversal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.465
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5497
  49. scores_strength_score:
    0.5851
  50. scores_quality_score:
    0.2919
  51. scores_cleanliness_score:
    0.2157
  52. scores_structural_quality:
    0.3542
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1188
  55. scores_continuation_score:
    0.5592
  56. scores_structure_score:
    0.3453
  57. scores_volatility_expansion:
    0.976
  58. scores_momentum_type_score:
    0.6824
  59. scores_risk_score:
    0.4665
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0012
  62. features_ema50_slope:
    0.0063
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.427
  65. features_price_vs_ema50:
    0.5699
  66. features_recent_hh_hl_score:
    0.5
  67. features_recent_lh_ll_score:
    0.5
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5685
  72. features_trend_efficiency:
    0.5224
  73. features_impulse_strength:
    3.5015
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.6
  76. features_pullback_depth_atr:
    4.4102
  77. features_extension_from_mean:
    0.5699
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2756
  80. features_volatility_percentile:
    0.96
  81. features_volatility_delta:
    0.7823
  82. features_body_ratio:
    0.604
  83. features_closes_position_ratio:
    0.536
  84. features_slope_consistency:
    0.7701
  85. features_range_position:
    0.4665
  86. features_distance_to_recent_high:
    -2.5639
  87. features_distance_to_recent_low:
    2.242
  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 : 0.1573
  99. obi_top10 : 0.1879
  100. micro_price : 0.03368871
  101. spread_pct : 0.029691
  102. mid_price : 0.033685
  103. bid_wall_price : 0.0335
  104. bid_wall_size : 1997935
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.0339
  107. ask_wall_size : 1037479.4
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.1606
  111. obi_top5_std : 0.005
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7209
  115. aggregation_tick : 0.0001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-27 09:00:00
        [price] => 0.03211
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-27 13:00:00
        [price] => 0.03363
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-27 14:00:00
        [price] => 0.03209
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-27 19:00:00
        [price] => 0.03346
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-28 01:00:00
        [price] => 0.03167
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-28 03:00:00
        [price] => 0.034
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-28 07:00:00
        [price] => 0.03209
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-28 20:00:00
        [price] => 0.036
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-29 01:00:00
        [price] => 0.03363
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-29 05:00:00
        [price] => 0.03512
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-29 17:00:00
        [price] => 0.03249
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-30 01:00:00
        [price] => 0.0345
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-31 00:00:00
        [price] => 0.03187
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-31 07:00:00
        [price] => 0.03371
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-31 15:00:00
        [price] => 0.0323
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-31 16:00:00
        [price] => 0.03317
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 0.03408
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-31 21:00:00
        [price] => 0.033
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 0.0346
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 07:00:00
        [price] => 0.03204
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-31 09:00:00
        [price] => 0.03352
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 11:45:00
        [price] => 0.03243
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 12:30:00
        [price] => 0.03312
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 15:30:00
        [price] => 0.0323
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 16:15:00
        [price] => 0.03317
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 17:30:00
        [price] => 0.03235
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 0.03408
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-31 21:15:00
        [price] => 0.033
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-31 23:00:00
        [price] => 0.03376
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-31 23:30:00
        [price] => 0.03322
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 0.03372
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-01 01:30:00
        [price] => 0.033
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-01 02:00:00
        [price] => 0.03354
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-01 02:30:00
        [price] => 0.033
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-01 04:45:00
        [price] => 0.0346
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 07:00:00
        [price] => 0.03204
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-01 07:30:00
        [price] => 0.03336
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-01 08:30:00
        [price] => 0.03228
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 0.03408
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.03204
  165. levels_hl_timestamp: 2026-06-01 07:00:00
  166. levels_hh_price:
    0.0346
  167. levels_lh_price:
    0.0346
  168. levels_lh_timestamp: 2026-06-01 04:00:00
  169. levels_ll_price:
    0.03204
  170. strategy_details
  171. demand_zone_top:
    0.03254
  172. demand_zone_bottom:
    0.03167
  173. demand_zone_mid:
    0.032105
  174. demand_zone_freshness: weak
  175. demand_zone_strength:
    0.8523
  176. strategy_details
  177. supply_zone_top:
    0.03599
  178. supply_zone_bottom:
    0.03474
  179. supply_zone_mid:
    0.035365
  180. supply_zone_freshness: weak
  181. supply_zone_strength:
    0.8502
  182. ¸
  183. regimes
  184. 1H : bull_high
  185. 15m : bull_high
  186. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 05:51 0.03366000 0%
2 05:58 0.03366000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 66%

Trend

Trend Strength
-0.170
Persistence
0.500
High Δ ATR
0.679
Low Δ ATR
-1.254

Current Swing

Amp ATR
3.502
Speed
1.167
Efficiency
0.522

Structure

Retracement
1.600
Extension
2.370
Compression
1.272
Entropy
1.000
Breakout Str.
-0.901
Dist High ATR
-1.188
Dist Low ATR
2.155
29 pivots · 28 swings · Last pivot: ↓ 0.0320 @ bar 147

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 47%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility volatile_reversal
risk mid_range
htf unknown
Scores
Direction Score 0.550
Strength Score 0.585
Quality Score 0.292
Cleanliness Score 0.216
Structural Quality 0.354
Pullback Score 1.000
Exhaustion Score 0.119
Continuation Score 0.559
Structure Score 0.345
Volatility Expansion 0.976
Momentum Type Score 0.682
Risk Score 0.467
Features
Ema20 Slope
0.001
Ema50 Slope
0.006
Ema Alignment Score
1.000
Price Vs Ema20
0.427
Price Vs Ema50
0.570
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
-1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.569
Trend Efficiency
0.522
Impulse Strength
3.502
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.600
Pullback Depth Atr
4.410
Extension From Mean
0.570
Impulse Decay Score
0.000
Opposing Wick Pressure
0.276
Volatility Percentile
0.960
Volatility Delta
0.782
Body Ratio
0.604
Closes Position Ratio
0.536
Slope Consistency
0.770
Range Position
0.467
Distance To Recent High
-2.564
Distance To Recent Low
2.242
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7209ms Confidence avant OB : 86%93%

Order Book Imbalance

OBI Top 5 0.157
avg 0.161 ± 0.005
OBI Top 10 0.188

Microstructure

Mid Price
0.0337
Micro Price
0.0337
Spread
0.0297%

↑ Bid Wall (Support)

Price
0.0335
Size
1,997,935.00

↓ Ask Wall (Resistance)

Price
0.0339
Size
1,037,479.40

📌 Time Data

Start at Closed at Duration
01 Jun 2026
05:51:04
02 Jun 2026
19:30:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03366 0.03195 0.03795 2.51 0.01388
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 0.03366
  • Stop Loss: 0.03195
  • Take Profit: 0.03795

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03195 - 0.03366 = -0.00171

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03366 - 0.03795 = -0.00429

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00429 / -0.00171 = 2.5088

📌 Position Size

Amount Margin Quantity Leverage
157.0246 100 4665.0222 1.57
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 -0.00171

Taille de position = 8 / -0.00171 = -4678.36

Taille de position USD = -4678.36 x 0.03366 = -157.47

Donc, tu peux acheter -4678.36 avec un stoploss a 0.03195

Avec un position size USD de -157.47$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4678.36 x -0.00171 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4678.36 x -0.00429 = 20.07

Si Take Profit atteint, tu gagneras 20.07$

Résumé

  • Taille de position -4678.36
  • Taille de position USD -157.47
  • Perte potentielle 8
  • Gain potentiel 20.07
  • Risk-Reward Ratio 2.5088

📌 Peformances

TP % Target TP $ Target
12.75 % 20.01 $
SL % Target SL $ Target
5.08 % 7.98 $
PNL PNL %
-7.98 $ -5.08
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-7.2193 % 142.11 % 43

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0006
            [max_drawdown] => 0.00034
            [rr_ratio] => 1.76
            [high] => 0.03426000
            [low] => 0.03332000
            [mfe_pct] => 1.78
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 1.76
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T05:51:04-04:00
            [end_at] => 2026-06-01T07:51:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00063
            [max_drawdown] => 0.00034
            [rr_ratio] => 1.85
            [high] => 0.03429000
            [low] => 0.03332000
            [mfe_pct] => 1.87
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 1.85
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T05:51:04-04:00
            [end_at] => 2026-06-01T12:51:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03404000
            [high_after] => 0.03428000
            [low_before] => 0.03204000
            [low_after] => 0.03332000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#59 / n/a OUT
seuil : top 15 · score du 01/06/2026 05:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime