30 May 2026 at 23:28:16

Long Trade on TON (BosPullback)

With 157.84 TON at 1.853$ per unit. Take profit: 1.9797 (6.84 %) & Stop Loss: 1.8023 (2.74 %)

Long BosPullback on TON (30 May 2026 at 23:28:16 to 23:25:00 - 23 hours )

With 157.835 TON at 1.853$ per unit.

Position size of 292.4683 $
Take profit at 1.9797 (6.84 %) and Stop Loss at 1.8023 (2.74 %)

That's a 2.5 RR Trade
Duration: 23 hours

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 3.05
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 : 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 23:01

BTC Correlation Coin Market Regime

1H_regime : bull_high_confirmed

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral transition bearish_transition moderate grind compression bear_high
69%
30/05 20:00
1h ↑ up transition bullish_transition strong explosive normal range_high
54%
30/05 23:00
15m ↑ up transition bullish_transition moderate balanced compression bull_medium
70%
30/05 23:15
5m ↓ down transition bearish_transition moderate fading compression bear_low
55%
30/05 23:35

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=3|retests=1|break_atr=1.31|prog=0.49|zone=tested
  4. stop_price: 1.80231417
  5. tp_price: 1.97971458
  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 : 0.432
  12. trend_strength : 0.4323
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.8369
  15. low_delta_atr : -0.5954
  16. current_swing_amp_atr : 3.6232
  17. current_swing_speed : 3.62319
  18. current_swing_efficiency : 0.8747
  19. retracement_ratio : 6.0427
  20. extension_ratio : 0.7606
  21. compression_score : 0.5731
  22. swing_entropy : 1
  23. breakout_strength : -0.0145
  24. distance_to_last_high_atr : -1.8514
  25. distance_to_last_low_atr : 1.7462
  26. pivot_count : 26
  27. swing_count : 25
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    1.9045
  31. last_pivot_index:
    146
  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 : 0.534
  46. state : up_bullish_transition_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7399
  49. scores_strength_score:
    0.7135
  50. scores_quality_score:
    0.3298
  51. scores_cleanliness_score:
    0.2318
  52. scores_structural_quality:
    0.41
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.4684
  55. scores_continuation_score:
    0.5304
  56. scores_structure_score:
    0.6607
  57. scores_volatility_expansion:
    0.952
  58. scores_momentum_type_score:
    0.8201
  59. scores_risk_score:
    0.4463
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1336
  62. features_ema50_slope:
    0.0727
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.1196
  65. features_price_vs_ema50:
    1.7414
  66. features_recent_hh_hl_score:
    0.4
  67. features_recent_lh_ll_score:
    0.6
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5365
  72. features_trend_efficiency:
    0.8747
  73. features_impulse_strength:
    3.6232
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    6.0427
  76. features_pullback_depth_atr:
    4.5026
  77. features_extension_from_mean:
    1.7414
  78. features_impulse_decay_score:
    0.6197
  79. features_opposing_wick_pressure:
    0.2724
  80. features_volatility_percentile:
    0.92
  81. features_volatility_delta:
    0.4854
  82. features_body_ratio:
    0.5814
  83. features_closes_position_ratio:
    0.5326
  84. features_slope_consistency:
    0.9239
  85. features_range_position:
    0.4463
  86. features_distance_to_recent_high:
    -5.7863
  87. features_distance_to_recent_low:
    4.6634
  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 : 0.0635
  99. obi_top10 : 0.0128
  100. micro_price : 1.85329856
  101. spread_pct : 0.005396
  102. mid_price : 1.85325
  103. bid_wall_price : 1.83
  104. bid_wall_size : 407785.3
  105. bid_wall_dist_atr :
  106. ask_wall_price : 1.86
  107. ask_wall_size : 430041.94
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0679
  111. obi_top5_std : 0.0098
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7116
  115. aggregation_tick : 0.01
  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] => 2026-05-26 13:00:00
        [price] => 1.9715
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-26 17:00:00
        [price] => 1.8746
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-26 19:00:00
        [price] => 2.0318
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-27 13:00:00
        [price] => 1.8564
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 1.9158
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 1.7623
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-28 09:00:00
        [price] => 1.825
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 1.7176
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-28 18:00:00
        [price] => 1.7943
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 1.7512
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-29 08:00:00
        [price] => 1.7992
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 1.7098
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-29 17:00:00
        [price] => 1.8076
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-29 22:00:00
        [price] => 1.7361
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 1.7797
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 1.7236
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-30 18:00:00
        [price] => 1.8539
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-30 19:00:00
        [price] => 1.8218
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-30 23:00:00
        [price] => 1.8054
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-31 00:00:00
        [price] => 1.9045
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-30 02:45:00
        [price] => 1.7797
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-30 04:30:00
        [price] => 1.7236
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-30 06:30:00
        [price] => 1.7643
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-30 10:45:00
        [price] => 1.749
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-30 13:00:00
        [price] => 1.7634
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-30 13:30:00
        [price] => 1.751
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-30 15:15:00
        [price] => 1.792
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-30 15:30:00
        [price] => 1.7723
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-30 16:15:00
        [price] => 1.833
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-30 16:30:00
        [price] => 1.8046
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-30 17:15:00
        [price] => 1.8479
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-30 17:30:00
        [price] => 1.8182
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-30 18:15:00
        [price] => 1.8539
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-30 19:30:00
        [price] => 1.8218
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-30 20:30:00
        [price] => 1.8604
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-30 23:30:00
        [price] => 1.8054
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-31 00:45:00
        [price] => 1.9045
        [kind] => high
        [label] => HH
    )
    
  160. bos_level_long : 1.8539
  161. bos_level_short : 0
  162. strategy_details
  163. levels_hl_price:
    1.8054
  164. levels_hl_timestamp: 2026-05-30 23:00:00
  165. levels_hh_price:
    1.9045
  166. levels_lh_price:
    1.9045
  167. levels_lh_timestamp: 2026-05-31 00:00:00
  168. levels_ll_price:
    1.8054
  169. strategy_details
  170. demand_zone_top:
    1.8307
  171. demand_zone_bottom:
    1.8054
  172. demand_zone_mid:
    1.81805
  173. demand_zone_freshness: tested
  174. demand_zone_strength:
    0.9142
  175. strategy_details
  176. supply_zone_top:
    1.9158
  177. supply_zone_bottom:
    1.8564
  178. supply_zone_mid:
    1.8861
  179. supply_zone_freshness: weak
  180. supply_zone_strength:
    0.6789
  181. ¸
  182. regimes
  183. 1H : bull_high_confirmed
  184. 15m : bull_high
  185. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 43%

Trend

Trend Strength
0.432
Persistence
0.500
High Δ ATR
1.837
Low Δ ATR
-0.595

Current Swing

Amp ATR
3.623
Speed
3.623
Efficiency
0.875

Structure

Retracement
6.043
Extension
0.761
Compression
0.573
Entropy
1.000
Breakout Str.
-0.015
Dist High ATR
-1.851
Dist Low ATR
1.746
26 pivots · 25 swings · Last pivot: ↑ 1.9045 @ bar 146

Trend Analyzer 1H

1H ↑ up up_bullish_transition_explosive
Confidence 53%

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 0.740
Strength Score 0.714
Quality Score 0.330
Cleanliness Score 0.232
Structural Quality 0.410
Pullback Score 1.000
Exhaustion Score 0.468
Continuation Score 0.530
Structure Score 0.661
Volatility Expansion 0.952
Momentum Type Score 0.820
Risk Score 0.446
Features
Ema20 Slope
0.134
Ema50 Slope
0.073
Ema Alignment Score
1.000
Price Vs Ema20
1.120
Price Vs Ema50
1.741
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.537
Trend Efficiency
0.875
Impulse Strength
3.623
Directional Candle Ratio
0.500
Pullback Depth Ratio
6.043
Pullback Depth Atr
4.503
Extension From Mean
1.741
Impulse Decay Score
0.620
Opposing Wick Pressure
0.272
Volatility Percentile
0.920
Volatility Delta
0.485
Body Ratio
0.581
Closes Position Ratio
0.533
Slope Consistency
0.924
Range Position
0.446
Distance To Recent High
-5.786
Distance To Recent Low
4.663
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7116ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 0.064
avg 0.068 ± 0.010
OBI Top 10 0.013

Microstructure

Mid Price
1.8533
Micro Price
1.8533
Spread
0.0054%

↑ Bid Wall (Support)

Price
1.8300
Size
407,785.30

↓ Ask Wall (Resistance)

Price
1.8600
Size
430,041.94

📌 Time Data

Start at Closed at Duration
30 May 2026
23:28:16
31 May 2026
23:25:00
23 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.853 1.8023 1.9797 2.5 1.6758
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 1.853
  • Stop Loss: 1.8023
  • Take Profit: 1.9797

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8023 - 1.853 = -0.0507

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.853 - 1.9797 = -0.1267

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1267 / -0.0507 = 2.499

📌 Position Size

Amount Margin Quantity Leverage
292.4683 100 157.835 2.92
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 -0.0507

Taille de position = 8 / -0.0507 = -157.79

Taille de position USD = -157.79 x 1.853 = -292.38

Donc, tu peux acheter -157.79 avec un stoploss a 1.8023

Avec un position size USD de -292.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -157.79 x -0.0507 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -157.79 x -0.1267 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position -157.79
  • Taille de position USD -292.38
  • Perte potentielle 8
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.499

📌 Peformances

TP % Target TP $ Target
6.84 % 20 $
SL % Target SL $ Target
2.74 % 8 $
PNL PNL %
20 $ 6.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0631 % 38.85 % 31

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0109
            [max_drawdown] => 0.0135
            [rr_ratio] => 0.81
            [high] => 1.86390000
            [low] => 1.83950000
            [mfe_pct] => 0.59
            [mae_pct] => 0.73
            [mfe_mae_ratio] => 0.81
            [candles_analyzed] => 24
            [start_at] => 2026-05-30T23:28:16-04:00
            [end_at] => 2026-05-31T01:28:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0541
            [max_drawdown] => 0.0135
            [rr_ratio] => 4.01
            [high] => 1.90710000
            [low] => 1.83950000
            [mfe_pct] => 2.92
            [mae_pct] => 0.73
            [mfe_mae_ratio] => 4.01
            [candles_analyzed] => 84
            [start_at] => 2026-05-30T23:28:16-04:00
            [end_at] => 2026-05-31T06:28:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.90450000
            [high_after] => 1.89360000
            [low_before] => 1.80540000
            [low_after] => 1.83950000
            [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 23:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime