Long Trade on NAORIS (BosPullback)
With 2424.45 NAORIS at 0.0431$ per unit. Take profit: 0.08462 (96.2 %) & Stop Loss: 0.03983 (7.65 %)
Long Trade on NAORIS (BosPullback)
With 2424.45 NAORIS at 0.0431$ per unit. Take profit: 0.08462 (96.2 %) & Stop Loss: 0.03983 (7.65 %)
Position size of 104.5664 $
Take profit at 0.08462 (96.2 %)
and Stop Loss at 0.03983 (7.65 %)
| 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_low rules_regime_5m : range_low Score : 0 |
ml_regime : range_low rules_regime : bear_low rules_regime_5m : range_low tf_aligned : 17/05 08:02 |
| BTC Correlation | Coin Market Regime |
|---|---|
|
1H_regime : bear_high 15m_regime : bull_high |
| TF | Direction | Phase | Structure | Strength | Momentum | Volatility | Regime | Tradability | Évalué à |
|---|---|---|---|---|---|---|---|---|---|
| 4h | ↓ down | range | range | moderate | grind | compression | bear_high |
63%
|
16/05 20:00 |
| 1h | ↔ neutral | range | bullish_transition | moderate | balanced | compression | bear_high |
71%
|
17/05 07:00 |
| 15m | ↑ up | range | range | moderate | balanced | compression | bull_high |
72%
|
17/05 08:15 |
| 5m | ↑ up | range | range | moderate | fading | compression | bull_high |
75%
|
17/05 08:15 |
Indicators:
0.04003
146
0.4831
0.6934
0.3646
0.245
0.4625
0.5563
0.4967
0.6442
0.5851
0.2295
0.5926
0.0753
0.06
-0.1323
0.3333
0.8753
-2.559
0.5
0.5
1
4
1
0.5101
0.7395
3.7644
0.6
0.5563
2.0941
-2.559
0.5207
0.2581
0.22
-0.1537
0.4656
0.559
0
0.0753
-44.6803
3.638
1
0
1
Array
(
[time] => 2026-05-12 11:00:00
[price] => 0.10083
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-12 23:00:00
[price] => 0.11385
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-13 01:00:00
[price] => 0.10708
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-13 05:00:00
[price] => 0.12511
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-13 06:00:00
[price] => 0.115
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-13 08:00:00
[price] => 0.12575
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-13 09:00:00
[price] => 0.1166
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-13 11:00:00
[price] => 0.125
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-13 14:00:00
[price] => 0.10127
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-13 15:00:00
[price] => 0.12806
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-13 20:00:00
[price] => 0.11743
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-14 11:00:00
[price] => 0.07681
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-14 17:00:00
[price] => 0.09053
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-15 06:00:00
[price] => 0.04966
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-15 07:00:00
[price] => 0.06091
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-16 08:00:00
[price] => 0.03602
[kind] => low
[label] => LL
)
Array
(
[time] => 2026-05-16 10:00:00
[price] => 0.04111
[kind] => high
[label] => LH
)
Array
(
[time] => 2026-05-16 15:00:00
[price] => 0.03652
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-17 04:00:00
[price] => 0.04443
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-17 05:00:00
[price] => 0.04003
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-16 10:00:00
[price] => 0.04111
[kind] => high
[label] =>
)
Array
(
[time] => 2026-05-16 15:15:00
[price] => 0.03652
[kind] => low
[label] =>
)
Array
(
[time] => 2026-05-16 19:30:00
[price] => 0.03962
[kind] => high
[label] =>
)
Array
(
[time] => 2026-05-16 21:30:00
[price] => 0.03836
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-16 23:30:00
[price] => 0.04103
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-17 00:15:00
[price] => 0.03833
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-17 02:15:00
[price] => 0.04277
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-17 02:30:00
[price] => 0.04123
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-17 03:15:00
[price] => 0.04363
[kind] => high
[label] => HH
)
Array
(
[time] => 2026-05-17 03:45:00
[price] => 0.04126
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-17 05:15:00
[price] => 0.04165
[kind] => low
[label] => HL
)
Array
(
[time] => 2026-05-17 05:30:00
[price] => 0.04332
[kind] => high
[label] => LH
)
0.04003
0.04443
0.04443
0.04003
0.0405
0.03652
0.03851
0.6311
Signaux confirmants (2)
| # | Heure | Entry | Δ |
|---|---|---|---|
| 1 | 08:21 | 0.04313000 | 0% |
| 2 | 08:29 | 0.04313000 | 0% |
Market Structure Score: 0
Trend
Current Swing
Structure
Context
Order Book Imbalance
Microstructure
↑ Bid Wall (Support)
↓ Ask Wall (Resistance)
| Start at | Closed at | Duration |
|---|---|---|
| 17 May 2026 08:21:51 |
17 May 2026 11:20:00 |
2 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.04313 | 0.03983 | 0.08462 | 12.57 | 0.03066 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.03983 - 0.04313 = -0.0033
Récompense (distance jusqu'au take profit):
E - TP = 0.04313 - 0.08462 = -0.04149
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.04149 / -0.0033 = 12.5727
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 104.5664 | 100 | 2424.4481 | 1.05 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / -0.0033 = -2424.24
Taille de position USD = -2424.24 x 0.04313 = -104.56
Donc, tu peux acheter -2424.24 avec un stoploss a 0.03983
Avec un position size USD de -104.56$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2424.24 x -0.0033 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2424.24 x -0.04149 = 100.58
Si Take Profit atteint, tu gagneras 100.58$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 96.2 % | 100.59 $ |
| SL % Target | SL $ Target |
|---|---|
| 7.65 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -7.65 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -10.0626 % | 131.51 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.08462
[entry_price] => 0.04313
[stop_loss] => 0.0395
[rr_ratio] => 11.43
[sl_change_percentage] => 1.1
[closed_at] => 2026-05-17 11:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.08462
[entry_price] => 0.04313
[stop_loss] => 0.03917
[rr_ratio] => 10.48
[sl_change_percentage] => 1.2
[closed_at] => 2026-05-17 11:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.08462
[entry_price] => 0.04313
[stop_loss] => 0.03884
[rr_ratio] => 9.67
[sl_change_percentage] => 1.3
[closed_at] => 2026-05-17 11:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.08462
[entry_price] => 0.04313
[stop_loss] => 0.03818
[rr_ratio] => 8.38
[sl_change_percentage] => 1.5
[closed_at] => 2026-05-17 11:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00043
[max_drawdown] => 0.00275
[rr_ratio] => 0.16
[high] => 0.04356000
[low] => 0.04038000
[mfe_pct] => 1
[mae_pct] => 6.38
[mfe_mae_ratio] => 0.16
[candles_analyzed] => 24
[start_at] => 2026-05-17T08:21:51-04:00
[end_at] => 2026-05-17T10:21:51-04:00
)
[long_term] => Array
(
[max_gain] => 0.00043
[max_drawdown] => 0.00585
[rr_ratio] => 0.07
[high] => 0.04356000
[low] => 0.03728000
[mfe_pct] => 1
[mae_pct] => 13.56
[mfe_mae_ratio] => 0.07
[candles_analyzed] => 84
[start_at] => 2026-05-17T08:21:51-04:00
[end_at] => 2026-05-17T15:21:51-04:00
)
[breakout] => Array
(
[high_before] => 0.04346000
[high_after] => 0.04356000
[low_before] => 0.04003000
[low_after] => 0.03728000
[is_new_high] => 1
[is_new_low] =>
)
)
Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?