30 May 2026 at 20:11:58

Long Trade on RENDER (BosPullback)

With 144.73 RENDER at 2.115$ per unit. Take profit: 2.2605 (6.88 %) & Stop Loss: 2.0597 (2.61 %)

Long BosPullback on RENDER (30 May 2026 at 20:11:58 to 10:00:00 - 13 hours )

With 144.733 RENDER at 2.115$ per unit.

Position size of 306.1102 $
Take profit at 2.2605 (6.88 %) and Stop Loss at 2.0597 (2.61 %)

That's a 2.63 RR Trade
Duration: 13 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.73
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

30/05 20:01

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 ↑ up transition bullish_transition moderate grind compression bull_high
71%
30/05 20:00
1h ↑ up range range moderate grind normal bull_high
82%
30/05 23:00
15m ↑ up transition bullish_transition moderate balanced normal bull_high
76%
30/05 23:30
5m ↔ neutral transition bullish_transition moderate grind compression range_medium
48%
30/05 23:35

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=3|retests=1|break_atr=1.06|prog=0.57|zone=invalid
  4. stop_price: 2.05972579
  5. tp_price: 2.2605
  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 : impulse_up
  11. confidence : 1
  12. trend_strength : 0.0889
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.0406
  15. low_delta_atr : 3.5387
  16. current_swing_amp_atr : 2.2506
  17. current_swing_speed : 2.25059
  18. current_swing_efficiency : 0.7672
  19. retracement_ratio : 0.3938
  20. extension_ratio : 0.6054
  21. compression_score : 1.3162
  22. swing_entropy : 1
  23. breakout_strength : -4.856
  24. distance_to_last_high_atr : -0.9815
  25. distance_to_last_low_atr : 1.3173
  26. pivot_count : 25
  27. swing_count : 24
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    2.064
  31. last_pivot_index:
    147
  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 : normal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.647
  46. state : up_bullish_transition_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7379
  49. scores_strength_score:
    0.7902
  50. scores_quality_score:
    0.4251
  51. scores_cleanliness_score:
    0.2643
  52. scores_structural_quality:
    0.5567
  53. scores_pullback_score:
    0.3938
  54. scores_exhaustion_score:
    0.4839
  55. scores_continuation_score:
    0.75
  56. scores_structure_score:
    0.7006
  57. scores_volatility_expansion:
    0.5272
  58. scores_momentum_type_score:
    0.8002
  59. scores_risk_score:
    0.3686
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1302
  62. features_ema50_slope:
    0.0625
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.294
  65. features_price_vs_ema50:
    1.7159
  66. features_recent_hh_hl_score:
    0.65
  67. features_recent_lh_ll_score:
    0.35
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4713
  72. features_trend_efficiency:
    0.7672
  73. features_impulse_strength:
    5.8452
  74. features_directional_candle_ratio:
    0.7
  75. features_pullback_depth_ratio:
    0.3938
  76. features_pullback_depth_atr:
    2.3018
  77. features_extension_from_mean:
    1.7159
  78. features_impulse_decay_score:
    0.6973
  79. features_opposing_wick_pressure:
    0.2192
  80. features_volatility_percentile:
    0.46
  81. features_volatility_delta:
    0.0768
  82. features_body_ratio:
    0.5556
  83. features_closes_position_ratio:
    0.6245
  84. features_slope_consistency:
    0.9604
  85. features_range_position:
    0.3686
  86. features_distance_to_recent_high:
    -8.1663
  87. features_distance_to_recent_low:
    4.7679
  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 : 0.0606
  99. obi_top10 : 0.0245
  100. micro_price : 2.11382071
  101. spread_pct : 0.047326
  102. mid_price : 2.1135
  103. bid_wall_price : 2.1
  104. bid_wall_size : 96750.3
  105. bid_wall_dist_atr :
  106. ask_wall_price : 2.13
  107. ask_wall_size : 86814.62
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0566
  111. obi_top5_std : 0.0265
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7088
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : impulse_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-25 11:00:00
        [price] => 2.027
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-25 16:00:00
        [price] => 2.28
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-26 00:00:00
        [price] => 2.138
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-26 08:00:00
        [price] => 2.402
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-26 09:00:00
        [price] => 2.306
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-26 12:00:00
        [price] => 2.317
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-26 14:00:00
        [price] => 2.437
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-27 07:00:00
        [price] => 2.169
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-27 12:00:00
        [price] => 2.298
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 1.93
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-28 18:00:00
        [price] => 2.041
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-28 20:00:00
        [price] => 1.96
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-29 01:00:00
        [price] => 2.081
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 1.982
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-29 09:00:00
        [price] => 2.097
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 1.943
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-29 17:00:00
        [price] => 2.074
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 1.927
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-30 21:00:00
        [price] => 2.153
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-30 22:00:00
        [price] => 2.064
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-29 23:15:00
        [price] => 1.974
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-30 00:00:00
        [price] => 1.947
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 1.992
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-30 02:15:00
        [price] => 1.971
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-30 04:30:00
        [price] => 1.927
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-30 06:45:00
        [price] => 2.01
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-30 07:45:00
        [price] => 1.968
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-30 13:00:00
        [price] => 2.053
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-30 13:30:00
        [price] => 2.007
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-30 14:00:00
        [price] => 2.096
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-30 14:30:00
        [price] => 2.056
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-30 15:00:00
        [price] => 2.102
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-30 15:30:00
        [price] => 2.056
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-30 17:00:00
        [price] => 2.091
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-30 17:30:00
        [price] => 2.054
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-30 18:45:00
        [price] => 2.105
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-30 19:30:00
        [price] => 2.056
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-30 21:30:00
        [price] => 2.153
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-30 22:30:00
        [price] => 2.064
        [kind] => low
        [label] => HL
    )
    
  162. bos_level_long : 2.074
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    2.064
  166. levels_hl_timestamp: 2026-05-30 22:00:00
  167. levels_hh_price:
    2.153
  168. levels_lh_price:
    2.153
  169. levels_lh_timestamp: 2026-05-30 21:00:00
  170. levels_ll_price:
    2.064
  171. demand_zone :
  172. supply_zone :
  173. ¸
  174. regimes
  175. 1H : bull_high
  176. 15m : bull_high
  177. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 20:11 2.11500000 0%
2 20:24 2.11200000 -0.142%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ impulse_up
Confidence 100%

Trend

Trend Strength
0.089
Persistence
0.500
High Δ ATR
2.041
Low Δ ATR
3.539

Current Swing

Amp ATR
2.251
Speed
2.251
Efficiency
0.767

Structure

Retracement
0.394
Extension
0.605
Compression
1.316
Entropy
1.000
Breakout Str.
-4.856
Dist High ATR
-0.982
Dist Low ATR
1.317
25 pivots · 24 swings · Last pivot: ↓ 2.0640 @ bar 147

Trend Analyzer 1H

1H ↑ up up_bullish_transition_explosive
Confidence 65%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength strong
exhaustion medium
momentum explosive
volatility normal
risk mid_range
htf unknown
Scores
Direction Score 0.738
Strength Score 0.790
Quality Score 0.425
Cleanliness Score 0.264
Structural Quality 0.557
Pullback Score 0.394
Exhaustion Score 0.484
Continuation Score 0.750
Structure Score 0.701
Volatility Expansion 0.527
Momentum Type Score 0.800
Risk Score 0.369
Features
Ema20 Slope
0.130
Ema50 Slope
0.063
Ema Alignment Score
1.000
Price Vs Ema20
1.294
Price Vs Ema50
1.716
Recent Hh Hl Score
0.650
Recent Lh Ll Score
0.350
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.471
Trend Efficiency
0.767
Impulse Strength
5.845
Directional Candle Ratio
0.700
Pullback Depth Ratio
0.394
Pullback Depth Atr
2.302
Extension From Mean
1.716
Impulse Decay Score
0.697
Opposing Wick Pressure
0.219
Volatility Percentile
0.460
Volatility Delta
0.077
Body Ratio
0.556
Closes Position Ratio
0.625
Slope Consistency
0.960
Range Position
0.369
Distance To Recent High
-8.166
Distance To Recent Low
4.768
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7088ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.061
avg 0.057 ± 0.027
OBI Top 10 0.025

Microstructure

Mid Price
2.1135
Micro Price
2.1138
Spread
0.0473%

↑ Bid Wall (Support)

Price
2.1000
Size
96,750.30

↓ Ask Wall (Resistance)

Price
2.1300
Size
86,814.62

📌 Time Data

Start at Closed at Duration
30 May 2026
20:11:58
31 May 2026
10:00:00
13 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.115 2.0597 2.2605 2.63 1.5133
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 2.115
  • Stop Loss: 2.0597
  • Take Profit: 2.2605

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.0597 - 2.115 = -0.0553

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.115 - 2.2605 = -0.1455

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1455 / -0.0553 = 2.6311

📌 Position Size

Amount Margin Quantity Leverage
306.1102 100 144.733 3.06
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 -0.0553

Taille de position = 8 / -0.0553 = -144.67

Taille de position USD = -144.67 x 2.115 = -305.98

Donc, tu peux acheter -144.67 avec un stoploss a 2.0597

Avec un position size USD de -305.98$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -144.67 x -0.0553 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -144.67 x -0.1455 = 21.05

Si Take Profit atteint, tu gagneras 21.05$

Résumé

  • Taille de position -144.67
  • Taille de position USD -305.98
  • Perte potentielle 8
  • Gain potentiel 21.05
  • Risk-Reward Ratio 2.6311

📌 Peformances

TP % Target TP $ Target
6.88 % 21.06 $
SL % Target SL $ Target
2.61 % 8 $
PNL PNL %
-8 $ -2.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.9787 % 113.92 % 21

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.033
            [rr_ratio] => 0.39
            [high] => 2.12800000
            [low] => 2.08200000
            [mfe_pct] => 0.61
            [mae_pct] => 1.56
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 24
            [start_at] => 2026-05-30T20:11:58-04:00
            [end_at] => 2026-05-30T22:11:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.045
            [rr_ratio] => 0.69
            [high] => 2.14600000
            [low] => 2.07000000
            [mfe_pct] => 1.47
            [mae_pct] => 2.13
            [mfe_mae_ratio] => 0.69
            [candles_analyzed] => 84
            [start_at] => 2026-05-30T20:11:58-04:00
            [end_at] => 2026-05-31T03:11:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.15300000
            [high_after] => 2.12800000
            [low_before] => 2.06400000
            [low_after] => 2.07000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#9 / n/a OK
seuil : top 15 · score du 30/05/2026 20:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime